JESUS NEVER CELEBRATED EASTER!

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 The Last Supper was a Passover meal. The 1st April, 2026 (Hebrew 15th of Nissan, 5786) is the start of the Passover feast. So, let’s explore the awesome parallels between Passover and the Last Supper.

The Passover feast described in Exodus 12 stands as one of the most pivotal events in the Bible, marking God’s dramatic deliverance of Israel from Egyptian slavery. Centuries later, during the same festival, Jesus Christ gathered His disciples for the Last Supper before His crucifixion, resurrection, and ascension.

Parallel and Linked Accounts

Recorded in Luke 22, Matthew 26, and Mark 14, this meal reinterprets ancient symbols in light of His impending death. Both occasions involve a sacrificial lamb, protective blood, unleavened bread, and a commanded remembrance. Jewish tradition views Passover as an enduring commemoration of physical liberation and national identity, while we know the Last Supper as the fulfilment of Passover in the new covenant through Christ. Examining these accounts reveals striking parallels that bridge Old Testament shadow and New Testament substance.

Exodus 12 details the original Passover with precise instructions. On the tenth day of the first month, each Israelite household was to select “a lamb for his family, one for each household” (Exodus 12:3). The animal had to be “year-old males without defect” (Exodus 12:5). At twilight on the fourteenth day, the community slaughtered the lambs. Blood was applied “on the sides and tops of the doorframes” (Exodus 12:7).

That night, families ate the roasted meat “along with bitter herbs, and bread made without yeast” (Exodus 12:8), dressed for travel and “in haste” (Exodus 12:11). The blood served as a sign: “When I see the blood, I will pass over you. No destructive plague will touch you” (Exodus 12:13). God struck Egypt’s firstborn, but spared Israel.

The chapter closes with a lasting command: “This is a day you are to commemorate; for the generations to come you shall celebrate it as a festival to the Lord—a lasting ordinance” (Exodus 12:14). Additional rules included eating inside the house and leaving “none of the bones” broken (Exodus 12:46). Thus, Passover became an annual reminder of redemption from bondage, God’s deliverance, and God’s covenants.

New Testament Understanding

The Gospels place Jesus’ final meal squarely within this same festival. Luke records: “Then came the day of Unleavened Bread on which the Passover lamb had to be sacrificed” (Luke 22:7). Jesus sent Peter and John to prepare “the Passover” in an upper room (Luke 22:8-13).

During the meal He declared, “I have eagerly desired to eat this Passover with you before I suffer” (Luke 22:15). Matthew and Mark echo the timing: “On the first day of the Festival of Unleavened Bread… the disciples… asked, ‘Where do you want us to make preparations for you to eat the Passover?’” (Matthew 26:17; cf. Mark 14:12). The setting is unmistakably the traditional Jewish Passover seder (order of service).

At the table, Jesus transformed two central elements. In all three accounts He took bread, gave thanks, broke it, and said, “This is My body” (Matthew 26:26; Mark 14:22; Luke 22:19). Luke adds the command, “Do this in remembrance of Me” (Luke 22:19).

Then He took the cup: “This is My blood of the covenant, which is poured out for many for the forgiveness of sins” (Matthew 26:28); “This is My blood of the covenant, which is poured out for many” (Mark 14:24); and in Luke, “This cup is the new covenant in My blood, which is poured out for you” (Luke 22:20). The language deliberately echoes the Exodus deliverance while pointing forward to Jesus’ crucifixion the next day.

Clear Parallels

Six clear parallels emerge when the texts are set side by side.

  • First, the sacrificial lamb. Exodus required an unblemished male lamb slain at twilight; Jesus is crucified at the hour Passover lambs were killed. Christian readers note the unbroken bones (Exodus 12:46; fulfilled in John 19:36) and the title “Lamb of God” applied to Jesus elsewhere.
  • Second, protective blood. Israelite doorposts marked with lamb’s blood spared families from death. Jesus explicitly links the cup to “forgiveness of sins” and the “new covenant”, portraying His blood as the ultimate sign that averts divine judgment on sin.
  • Third, unleavened bread. Matzah symbolised haste and affliction in Egypt. Jesus breaks the bread and declares it His body “given for you,” inviting ongoing participation as a memorial of His broken body.
  • Fourth, the shared meal of remembrance. Passover is usually eaten in family groups as a perpetual ordinance. Jesus commands, “Do this in remembrance of me,” shifting the focus from Egypt to Calvary while retaining the communal and ritual character. God wants us in His family.
  • Fifth, deliverance from bondage. Passover celebrated freedom from Pharaoh’s slavery. The Last Supper announces liberation from sin and death through the “new covenant”, echoing Jeremiah 31:31-34.
  • Sixth, future hope. Exodus 12 points to the Promised Land; Jesus speaks of fulfilment “in the kingdom of God” (Luke 22:16, 18), anticipating His messianic banquet.

Jewish Tradition

Jewish tradition continues to celebrate Passover as a living link to the Exodus. The holiday, called Pesach (“to pass over”), commemorates emancipation from Egyptian slavery. Families gather for the Seder—a fifteen-step ritual meal guided by the Haggadah. Central elements include four cups of wine (symbolising stages of redemption), matzah, bitter herbs (maror) recalling slavery, and the retelling of the Exodus story.

The youngest child asks the Four Questions, and the door is opened for the prophet Elijah, expressing hope for future redemption. Scripture commands parents to explain the ceremony to their children (Exodus 12:26-27). For Jews, Passover remains a festival of freedom (Hag ha-Herut), national identity, and divine mercy, observed annually without reference to any later messianic figure.

Christian Understanding

Christian theology, by contrast, sees the Last Supper as the deliberate fulfilment of Passover. Jesus, celebrating the ancient rite, reorients its symbols toward Himself. The apostle Paul later writes, “Christ, our Passover lamb, has been sacrificed” (1 Corinthians 5:7).

Theologians describe the event as a “new exodus”, where Jesus enacts the ultimate substitutionary sacrifice. The command to “do this in remembrance” birthed the Christian practice of Communion or the Eucharist, celebrated regularly (we take Communion almost daily) rather than once a year.

While Protestants typically view the bread and cup as symbolic or spiritually present, Catholics and Orthodox traditions speak of real presence. Yet across all denominations, the Last Supper is understood as instituting the new covenant promised in Jeremiah, where God’s people are freed not from earthly tyrants but from the power of sin.

Summary

The two communities, therefore, interpret the same biblical roots differently. Judaism treasures Passover as an unchanging memorial of the Exodus, reinforcing covenant faithfulness and hope for final redemption. Christianity regards the Last Supper as the moment when the old Passover reached its telos in Christ’s death and resurrection, transforming an annual shadow into a perpetual sacrament of grace. Believers in both faiths eat, drink, and remember deliverance, but Christians know Jesus Himself as the Lamb whose blood secures eternal passage from death to life.

Finally, Exodus 12 and the Gospel accounts of the Last Supper stand in profound continuity. The ancient ritual of lamb, blood, bread, and haste becomes, in Jesus’ hands, the announcement of a greater exodus. Jewish observance keeps alive the story of national birth; Christian observance proclaims the story of universal redemption. Together they testify to a God who delivers His people through sacrifice and calls every generation to remember.

Through Jesus’ sacrifice, we have God’s love, deliverance, healing, salvation, forgiveness, and eternal life. This is why we celebrate communion.

Here is Barry McGuire’s beautiful communion song. You can take communion whilst playing this and allow God to help you grasp the awesomeness of Jesus’ sacrifice.

WHAT IS THE MARK OF THE BEAST?

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Professor John Lennox is always a joy to listen to as I always learn something new and valuable. This video on the Mark of the Beast is one of the best lectures I have heard so I am keen to pass it on as I know my followers will be blessed by it.

Most Christians have spent decades worrying about a microchip. Prof. John Lennox argues they’ve been looking in the wrong direction entirely — and that the real danger is already inside your pocket, your home, and your daily routine.
In this powerful lecture, Oxford mathematician and Christian apologist Professor John C. Lennox delivers a rigorously argued, scripturally grounded case that the Mark of the Beast described in Revelation 13 is not a future technology — it is a present spiritual reality that is quietly reshaping human consciousness, eroding the capacity for worship, and replacing God with a system that most people have already surrendered to without realising it.
Drawing on the original Greek text of Revelation, the writings of C.S. Lewis, Blaise Pascal, and Albert Borgmann, and cutting-edge research from Microsoft, the University of Pennsylvania, and former Google design ethicist Tristan Harris — Lennox makes an argument that is equal parts scholarly, prophetic, and deeply personal.
This is not a conspiracy theory. This is one of the most respected Christian intellectuals alive today reading one of the most misread passages in the entire Bible — and arriving at a conclusion that will challenge how you think about faith, technology, attention, and what it means to worship in the 21st century.

GOD TENDS TO MAKE OUR TOTAL INABILITY HIS STARTING POINT

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Indeed, our utter incapacity is often the prop He delights to use for His next act. It is one of the principles of Yahweh’s modus operandi. When His people are without strength, without resources, without hope, without human gimmicks—then He loves to stretch forth His hand from heaven. Once we see where God often begins, we will understand how we may be encouraged.

Think about how Isaac was brought into existence. God waited until it was impossible for Abraham and Sarah to produce offspring. Abraham was 100, and whilst we don’t know Sarah’s age, we do know she was barren and now of great age. What about the prophet Samuel? His mother Hannah was barren. Look at her prayer:

“She was deeply distressed and prayed to the Lord and wept bitterly. And she vowed a vow and said, “O Lord of hosts, if you will indeed look on the affliction of your servant and remember me and not forget your servant, but will give to your servant a son, then I will give him to the Lord all the days of his life, and no razor shall touch his head.” (1 Samuel 1:10-11)

“They rose early in the morning and worshipped before the Lord; then they went back to their house at Ramah. And Elkanah knew Hannah his wife, and the Lord remembered her. And in due time Hannah conceived and bore a son, and she called his name Samuel, for she said, “I have asked for him from the Lord.” (1 Samuel 1:19-20)

Wow, that is amazing stuff, and I encourage you to read the chapter in full. So many things stand out here. One, we see it was God who had prevented Hannah from conceiving – at least at first. Two, she cried out to the Lord, asking Him to ‘remember’ her and not ‘forget’ her. Three, God did as she asked, and He did indeed ‘remember’ her – not by overcoming His own ‘forgetfulness,’ but by hearing her plea and taking action.

That should be of great encouragement to us all. Of course, this is not some name-it-and-claim-it passage if you happen to be infertile. What God did for Hannah was special, and served a special purpose in His overall plans. Yes, infertile couples can pray and ask God for help, but it is He who ultimately knows what is best and how we should proceed.

A few comments from others are helpful here. As to how God remembers and acts, John Woodhouse remarks:

Just as the Lord had “remembered” Noah in the days of the flood, Abraham when he destroyed Sodom, Rachel when she conceived Joseph, and His covenant with Abraham in the days of Moses (Genesis 8:1; 19:29; 30:22; Exodus 2:24; 6:5; cf. Numbers 10:9), so He “remembered” Hannah. Whenever God “remembered” His people, it led to His action on their behalf. We will not be mistaken if we expect that His remembering Hannah will involve His remembering His people Israel. He rebirthed the nation miraculously in 1948 and has been regathering Jews from all around the world. We can be certain that God will fulfill the covenants: 1, made with Abraham, Isaac and Jacob, 2. made with David and 3. the new covenant

Recall how 1 Samuel follows immediately after the book of Judges, with all its woeful misery and chaos. Israel was in desperate need of a real leader, and Samuel would become that man. And for this turning point in Israel’s history, God would use a barren woman! Says Woodhouse:

First Samuel 1 points us to a most unexpected starting point for the answer that God is going to provide for the leadership crisis. Who would have looked twice at miserable, sobbing Hannah for the answer to Israel’s crisis? We expect to find answers from the powerful. Hannah was not powerful. Her family were “nobodies.” The point of her story, however, is that God cares.

Does God care? Yes, He cared about the leadership of his people Israel and gave Hannah a son. Yes, He cares about the leadership of the world and of us. Hannah’s son will be surpassed by Mary’s son. God’s care for us all finds its fullest expression in Jesus Christ. If you belong to Him you can learn to “cast all your anxieties on Him, because He cares for you” (1 Peter 5:7).

God Begins Where We End

I quite like how Dale Ralph Davis picks up this theme:

Hannah, therefore, shares in a fellowship of barrenness. And it is frequently in this fellowship that new chapters in Yahweh’s history with His people begin—begin with nothing. God’s tendency is to make our total inability His starting point. Our hopelessness and our helplessness are no barrier to His work.

Indeed, our utter incapacity is often the prop He delights to use for His next act. This matter goes beyond the particular situations of biblical barren women. We are facing one of the principles of Yahweh’s modus operandi. When His people are without strength, without resources, without hope, without human gimmicks—then He loves to stretch forth His hand from heaven. Once we see where God often begins, we will understand how we may be encouraged.

He goes on to speak about Hannah’s prayer:

This is no piddly little affair – this is a manifestation of the way Yahweh rules and will bring His kingdom (vv. 5b,8). Hannah’s relief is a sample of the way Yahweh works (vv. 4-8) and of the way He will work when He brings His kingdom in its fullness (vv. 9-10). The saving help Yahweh gave Hannah is a foretaste, a scale-model demonstration of how Yahweh will do it when He does it in grand style.

Each one of Christ’s flock should ingest this point into his or her thinking. Every time God lifts you out of the miry bog and sets your feet upon a rock is a sample of the coming of the kingdom of God, a down payment of the full deliverance, the macro-salvation that will be yours at last.

True, such tiny salvations are only samples or signs of the final salvation…[Y]ou should not despise or demean these little salvations Yahweh works in your behalf, these little clues He gives, these clear but small evidences He leaves that He is king and that He has this strange way of raising up the poor from the dust and lifting the needy from the ash heap to make them sit in the heavenly realms with Jesus Christ. Ponder every episode of Yahweh’s saving help to you…

The Power of Prayer in God’s Sovereign Plan

Richard D. Phillips discusses the afflictions of Hannah, and what we can learn from them:

Rather than assuming some unholy, spiteful, or condemning purpose in God’s afflictions, believers need to remember that God is holy, so all His deeds are holy; God is good, so He intends our sorrows for good; and God is filled with mercy for the brokenhearted.

God does not seek to destroy us through our trials but to save us through our trials. As Hannah herself would later testify: “He raises up the poor from the dust; He lifts the needy from the ash heap” (1 Sam. 2:8) So if God is the One who closed the womb, we should take heart, since He can surely also open it.

In Hannah’s case, God was using her plight to orchestrate Israel’s deliverance from the dark era of the judges. This was a cause dear to Hannah’s heart, as we know from the song she later lifted up to God’s praise (1 Sam. 2:10).

We may never know how God has worked through our most bitter trials to bring others to salvation, to equip us with sensitivity in ministry to others, or even to launch a significant gospel advance. But we do know God, and we know from His Word that “for those who love God all things work together for good” (Rom. 8:28). So we can have confidence in God’s purposes in our lives.

He goes on to say this about the importance of prayer:

Not only does prayer change us, but prayer changes things. God is pleased to act in response to our prayers. Some people react to the knowledge of God’s sovereignty by thinking that prayer therefore does not matter, since God has decided everything in advance. Hannah did not reason this way, but understood that God’s sovereign will is achieved through the acts of men and women, especially our prayers.

John Woodhouse comments that her turning to the Lord “will turn out to change not only her life but the life of the nation, and indeed… the history of the world.” He adds, “Faith in God, therefore, leads us in our troubles to pray to the God who is sovereign over all things.”

All this is encouraging good news. The next time you find yourself on the ash heap, and you are questioning if God has forgotten you or has abandoned you, just bear in mind that He knows all about you and your situation, He hears your prayers, and He will act. He remembers us, and He acts accordingly.

Adapted from the article by Bill Muehlenberg, Good News: God Remembers Us – The Daily declaration, 19th March 2026

CAN AI EXTEND THE HUMAN LIFESPAN?

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We’re Entering the “Longevity Singularity”

At the recent Abundant Summit, Peter Diamandis on Day 3 introduced the concept: **Longevity Singularity** = the moment we KNOW we’re extending healthy human lifespan, not just guessing.

Leading researchers at Harvard and other institutions have made the case: “Our generation is going to witness aging become optional. Your body is more like a computer that can be programmed, reprogrammed, and rebooted to be young again.”

Translation: Aging isn’t wear and tear. It’s **information loss** at the cellular level. If you can restore the information (epigenetic reprogramming), you can restore youth.

Labs around the world have been proving this for 20 years. They’ve reversed aging in mice. Made old cells young again. Restored vision in blind mice by rewinding cellular age. It works.

Implication: The question isn’t IF we can reverse aging. It’s WHEN it becomes safe/scalable for humans. Leading researchers think we’re **2-5 years away** from first FDA-approved epigenetic reprogramming therapies.

From a Biblical perspective, we know that Adam and Eve were created by God to live forever. As a result of SIN, God took the Holy Spirit from them immediately. We know from Proverbs “The spirit of man is the lamp of the Lord,” A lamp requires oil to function which is the Holy Spirit. When we accept Jesus as our Lord and Saviour, God sends the Holy Spirit to indwell our spirit so it can function once again as the lamp of the Lord. We also know that the Tree of Life was essential for longevity because Adam and Eve were banished from the garden so they could not continue to eat of the Tree of Life “and live forever“. We also know that the preflood humans lived for almost 1000 years. After the flood God reduced our lifespan to a maximum of 120. Can humans with AI reverse that change. Perhaps they can. I am reminded what God said about the pre-Babel people: “Behold, they are one people, and they have all one language, and this is only the beginning of what they will do. And nothing that they propose to do will now be impossible for them.” Genesis 11:6. This is just another reason why Jesus needs to return to restore righteousness.

2. AI + Biology = The Fastest Drug Discovery Engine Ever Built

Day 3 showcased how AI is revolutionizing longevity therapeutics discovery. Major biotech firms and research institutions are using AI systems that “self-play the game of increasing longevity.”

What does that mean? Traditional drug discovery:

• Human scientists hypothesize → test → fail → repeat

• 10-15 years per drug

• 90% failure rate

• $2 billion per successful drug

AI-powered approach:

• AI generates millions of hypotheses simultaneously

• Tests them in silico (computer simulation) instantly

• Only moves winners to wet-lab testing

• Collapses 10 years → 18 months

Leading institutions explained: “We’re not just using AI to help scientists. We’re letting AI self-play across as many different formats as possible to discover what actually works.”

The result? These AI systems have already identified longevity therapeutic candidates that wouldn’t have been found by human researchers for decades.

Implication: The pace of longevity breakthroughs is about to go **exponential**. What took 20 years will take 2 years. What took 2 years will take months.

3. True Longevity Therapeutics Work Everywhere (Not Just One Cell Type)

Leading researchers made a critical distinction most people miss:

**Fake longevity therapeutic:** Works in one cell type (liver cells, skin cells, etc.). Makes good headlines. Doesn’t actually extend lifespan.

**Real longevity therapeutic:** Works throughout the ENTIRE body. Crosses blood-brain barrier. Reaches every tissue. Coordinates systemic rejuvenation.

Why this matters: Your body has ~37 trillion cells across 200+ cell types. If your “longevity drug” only works in hepatocytes (liver cells), you’re not reversing aging—you’re treating liver disease.

The therapies being developed (epigenetic reprogramming via gene therapy) are **systemic**. One treatment. Whole body. This is why they’re so hard to develop—but also why they’ll be civilization-changing once they work.

Implication: Stop chasing supplements that “improve mitochondrial function in muscle tissue.” Wait for (or invest in) therapies that reprogram your entire biological age.

4. Longevity Will Be Affordable (Not Just for Billionaires)

Peter asked the question everyone’s thinking: “Is this just for the ultra-wealthy?” Researchers’ answer: **”A couple hundred bucks a month.”** Here’s why longevity therapeutics will be cheap: • Gene therapy is one-time or infrequent dosing (not daily pills) • Manufacturing costs drop exponentially (same curve as genome sequencing) • Market size is EVERYONE (8 billion potential customers = economies of scale) • Governments/insurance will subsidize (because healthy people are cheaper than sick people) Compare to current costs: • Fountain Life whole-body scan: ~$20K/year • Rapamycin + NAD+ + supplements: ~$500/month • Future epigenetic therapy: ~$200/month Implication: Longevity escape velocity won’t be a billionaire’s club. It’ll be as accessible as smartphones within a decade.

5. The Convergence: AI + Robotics + Longevity = Warp Speed

Peter dropped this line:

“I am SO excited about the intersection of advanced superintelligence, robotics, and longevity. There’s a convergence in those three things that’s gonna put us into warp speed.”

Here’s the convergence:

**AI discovers longevity therapeutics** → Humans live 20-30 years longer → More time to build/innovate → Deploy armies of robots to execute → Robots handle physical labor → Humans focus on moonshots → Moonshots accelerate AI → AI discovers better longevity therapeutics → Positive feedback loop

This is why Peter structured the summit this way: Day 1 (AI) → Day 2 (Robots) → Day 3 (Longevity). These aren’t separate trends. They’re **one interlocking system**.

Leading researchers framed it: “Once you can fly, everything changes. Same with longevity. Once we prove we can reverse aging, the entire conversation shifts.”

Implication: The 2030s won’t just be the decade of AI or robots or longevity. It’ll be the decade when all three converge to create a world unrecognizable from 2026.

A SUPERSONIC AI TSUNAMI IS COMING

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Elon Musk describes what’s coming as a Supersonic Tsunami of converging exponentials. AI isn’t improving linearly anymore. We’re watching three exponential curves hit their inflection points simultaneously: compute scaling, model capabilities, and infrastructure deployment. When exponentials converge, you don’t get incremental progress. You get phase shifts.

Let me give you the raw numbers that demonstrate just how fast this is moving. What’s happening with AI revenue right now is unprecedented in the history of business. Anthropic hit $14 billion in annualized revenue in February 2026, growing from $1 billion just 14 months earlier. That figure has since surpassed $19 billion, more than doubling from $9 billion at the end of 2025. There is simply no precedent for this in B2B software.

And yet most people do not know who Anthropic is and what they do. Also, to understand what that means: Anthropic’s monthly revenue run rate is now roughly $1.6 billion per month, and it keeps accelerating. Anthropic projects as much as $70 billion in revenue by 2028.

OpenAI reached $25 billion in annualized revenue at the end of February 2026, up from $21.4 billion at year-end 2025, with full-year 2025 revenue coming in at $13.1 billion. Both companies are now valued in the hundreds of billions, Anthropic at $380 billion following its $30 billion Series G. OpenAI’s most recent private round in February 2026 valued it at approximately $730 billion, with an IPO potentially targeting a $1 trillion valuation.

Nvidia’s, Jensen Huang recently finalized a $30 billion investment in OpenAI and a $10 billion investment in Anthropic, and told investors these will likely be Nvidia’s last private investments in either company, because both are heading toward public markets. Think about that: the CEO of Nvidia, who has better visibility into AI infrastructure demand than anyone on Earth, made $40 billion in bets on these two companies as his final pre-IPO move.

What’s driving this revenue? It’s not IT budgets anymore. The models — Claude from Anthropic, GPT-5 from OpenAI — have crossed a threshold. They’re now competing with labour budgets.

Companies aren’t buying AI to replace servers. They’re buying AI to augment and ultimately displace human labour.

What’s the breakthrough use case? Coding. Claude Code (Anthropic’s agentic coding tool) now has run-rate revenue above $2.5 billion, having more than doubled since the beginning of 2026. Business subscriptions have quadrupled since the start of the year, and enterprise use has grown to represent over half of all Claude Code revenue.

Now you can buy intelligence on a metered basis. Pay per token. No recruiting, no vetting, no retention, no equity. Just intelligence as a utility. Consumers pay $20/month. Enterprise power users pay $200/month. And companies are spending millions per year because the ROI is there.

The Infrastructure Equation

Here’s the infrastructure reality that almost nobody is talking about loudly enough.

The five largest US hyperscalers — Microsoft, Alphabet, Amazon, Meta, and Oracle — have collectively committed to spending ~$690 billion on capital expenditure in 2026 alone, nearly doubling 2025 levels. The vast majority is directed at AI compute, data centers, and networking.

Total global AI spending is forecast to hit $2.5 trillion in 2026, a 44% increase over 2025, according to Gartner. Data centers, GPUs, power generation, chip fabrication. This is the largest infrastructure buildout in the history of technology, by a wide margin.

The rule of thumb in this industry: roughly $50 billion per gigawatt of infrastructure, and approximately $10 billion of annual revenue per gigawatt. Energy equals intelligence.

On a recent earnings call, Jensen Huang estimated that between $3 trillion and $4 trillion will be spent on AI infrastructure by the end of the decade. TechCrunch

This isn’t hype. This is capital deployment at a scale that rewrites the rules of what’s possible. When you’re spending $50 billion on a single data center and generating $10 billion a year in revenue from it, you’re not building a product… you’re building a new economic substrate. You’re building the electricity grid of the 21st century.

The tsunami is here. The question is whether you’re building on the wave or getting buried by it.

AI: The Capability Jump

Those revenue numbers I just showed you are driven by real capability breakthroughs happening right now.

Start here: neuromorphic chips just solved complex physics simulations at 1,000x better energy efficiency than supercomputers. That’s not 10% better. That’s three orders of magnitude. When compute gets that cheap, you don’t just do the same things faster. You do entirely new things that were economically impossible before.

Drug discovery moves from weeks on supercomputer clusters to hours on desktop chips. Climate modeling that required national labs runs on university hardware. Real-time protein folding for personalized cancer treatment becomes viable. This is Dematerialization, demonetization, and democratization followed by disruption (four of the Six D’s) in action.

Meanwhile, China’s DeepSeek launches V4 next-gen models through Huawei and Cambricon instead of U.S. chips. The AI race is officially multi-polar. OpenAI is preparing for the largest AI IPO in history.

And NVIDIA releases Alpamayo — the “ChatGPT moment for the physical world” — bringing reasoning to autonomous vehicles.

What it means: AI just moved from virtual to physical, from U.S.-dominated to globally distributed, and from expensive to radically cheap. All in the same week. And the revenue is proving it’s not experimental anymore: companies like Palantir, the U.S. military, and NVIDIA are running this in production for existential wartime operations.

Energy: Solving the Bottleneck

The elephant in the room: AI requires massive power. Those $50 billion data centers being built need gigawatts of electricity – and the grid was never designed for this.

Global electricity demand from data centers is set to more than double by 2030, reaching around 945 terawatt-hours: roughly equivalent to Japan’s entire annual electricity consumption. In the United States alone, data centers will account for nearly half of all electricity demand growth between now and 2030. AI will drive most of this increase, with electricity demand from AI-optimized data centers expected to more than quadruple by 2030.

Lawrence Berkeley National Laboratory projects U.S. data center electricity demand will grow from 176 TWh in 2023 to between 325 and 580 TWh by 2028 — representing up to 12% of total U.S. electricity consumption.

The grid was simply not built for this. Interconnection queues are backed up two to three years, transmission permitting takes a decade, and the power plants needed don’t yet exist. In just northern Virginia, a 2024 voltage fluctuation triggered the simultaneous disconnection of 60 data centers, a preview of what grid strain at scale actually looks like.

But look at what’s happening to solve it.

Nuclear Fusion is converging – fast: China’s “Artificial Sun” EAST reactor recently breached a major fusion plasma density barrier that researchers had long considered impossible to cross. In 2025, France’s WEST tokamak sustained plasma for over twenty minutes, while EAST maintained high-confinement plasma for nearly eighteen minutes — demonstrating the levels of stability required for commercial operation.

On the private side, the race has never moved faster. Commonwealth Fusion Systems has raised nearly $3 billion, including investments from Nvidia and Google, with the ultimate goal of a 400-megawatt power plant — enough to power around 280,000 average U.S. homes. CFS’s SPARC demonstration machine is expected to produce its first plasma in 2026 and achieve net fusion energy shortly after — the first commercially relevant design to produce more power than it consumes. That paves the way for ARC, their grid-connected power plant, targeted for the early 2030s.

Helion Energy has also begun construction of its first commercial fusion plant, designed to supply power directly to Microsoft’s data centers starting from 2028.

Private fusion investment has mushroomed, growing to $10.6 billion between 2021 and 2025, with the number of private fusion companies more than doubling from 23 to 53 in the same period.

The timeline is compressing. “Fusion in 30 years away” is becoming “Fusion this decade.” Fusion timelines are collapsing in real time — and AI is actually helping accelerate the plasma physics research itself. The irony: the technology that creates the power problem may also be helping solve it.

The wild card: Tesla Terafab: On March 14, 2026, Elon Musk announced on X that the “Terafab Project launches in 7 days” (March 21st).

So, what is Terafab? Musk first outlined the concept at Tesla’s 2025 shareholder meeting, describing a chip fabrication facility comparable in scale to TSMC’s largest plants. During Tesla’s January 2026 earnings call, he confirmed the company would “have to build a Tesla TeraFab: a very big fab that includes logic, memory and packaging, domestically” to avoid hitting a hard ceiling on chip supply in three to four years.

The facility is designed to produce between 100 and 200 billion custom AI and memory chips per year, with an initial target of 100,000 wafer starts per month and an ambition to scale toward one million, roughly 70% of TSMC’s total output, concentrated in a single U.S. facility. The project carries an estimated cost of approximately $25 billion. Tesla’s fifth-generation AI chip, AI5, is expected to be among the first products fabricated at Terafab, with small-batch production in 2026 and volume production projected for 2027.

To be precise: March 21st almost certainly marks the formal kickoff: a groundbreaking or announcement event, not a fully operational fab. Semiconductor fabs of this scale take years to build and commission. But the signal matters enormously. Tesla is joining Apple, Google, Amazon, and Microsoft in a new category of tech company: one that controls its own silicon. When the largest AI compute consumers own their own chip supply chains, the semiconductor industry is permanently restructured.

What It All Means: The energy bottleneck that threatened to constrain AI is being attacked from every direction simultaneously: fusion physics breakthroughs, private capital pouring into next-generation reactors, nuclear power plant revivals, and vertical integration of the chip supply chain. This is abundance thinking in action. When problems get big enough, fast enough, the solutions scale to match.

The constraint isn’t permanent. It never was.

The Supersonic Tsunami: How It All Connects

Here’s what Elon understood: these are not separate trends. They’re one interlocking system.

Neuromorphic chips make AI 1,000x more efficient → inference becomes cheap enough to deploy everywhere → agentic systems run locally in robots and cars. Fusion energy solves the power bottleneck → enables massive AI training clusters → next-gen frontier models get deployed in humanoids → robots work in any environment and can be launched to orbit on Starship for space manufacturing.

And the capital is already flowing. $1 trillion in infrastructure. $50 billion data centers generating $10 billion annually. Companies going from $1 billion to $14 billion in 14 months. This is not speculation…. it’s deployment at a scale that’s rewriting the rules.

The companies being built right now aren’t competing with 2024 business models.

Today’s companies are competing in an “Abundance Economy” where everything becomes possible, where intelligence is free, energy is abundant, labour is robotic, and orbital access is cheap.

As well, the professions are capitulating faster than the machines can replace them. An AMA survey found 81 percent of physicians now use AI, more than double the 2023 rate. New US Senate guidelines permit aides to use Gemini, ChatGPT, and Copilot for official work.

 Large language models, multimodal reasoning systems, and humanoid robots are not displacing one type of work — they are displacing all types of work, and the economic value of human time itself, across every sector, simultaneously.

There is no adjacent labor category to retrain into. The escalator that carried workers from disrupted industries to new ones for two centuries has no destination… it is crumbling.

That future isn’t ten years away. It’s arriving now and deploying over the next 12-24 months.

This will cause chaos particularly for Gen Z. How do they prepare for work in the AI era? Biblical prophecy reveals that in this world that no longer believes that God is in control. and that a spiritual war is intensifying as Satan the prince of this world does his utmost to retain rulership of the world, people worldwide will embrace Satan’s Antichrist ruler that has supernatural powers and promises peace and prosperity. Watch as Biblical end times prophecies unfold in our time.

REVIVALS TRANSFORM CHURCHES BUT DO THEY TRANSFORM NATIONS?

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Argentina’s great revival of the 1980s transformed churches but left the nation largely unchanged — a sobering lesson on why Christians must engage both the sanctuary and the ballot box.

Argentina

Revival 

In 1985, I returned to my native Argentina to witness a move of God that would change the nation’s spiritual landscape forever. Through the ministry of evangelists like Carlos Annacondia, thousands were swept into the Kingdom.

My father’s church in La Plata exploded from 300 members in one location to thousands of believers in 19 new preaching points. We saw miracles, healings, and a generation of new believers on fire for Christ.

It was glorious, but it left many with a haunting question: If the revival was so great, why was the nation not transformed?

Despite full and multiplying churches, Argentina’s economy remained broken, corruption stayed rampant, and in 2010, it became the first Latin American nation to legalise same-sex marriage.

We had focused so much on becoming “light” within our buildings that we forgot to be the “salt” that preserves a decaying culture. We dedicated ourselves to our churches, while the enemy dedicated himself to our cities.

The Myth of Political Detachment

A common argument against Christian political involvement is that Jesus never told us to vote. However, we must remember that democracy did not exist in His time; the Jews were subjects of Rome, not voters in a republic. Today, we live in a different reality where failing to vote is often a lack of gratitude for the freedoms we enjoy.

While the Gospel does not depend on who sits in the seat of government — and often spreads fastest under persecution — the laws of a land directly impact our quality of life and our ability to protect the vulnerable.

Proverbs 29:2 reminds us: “When the godly are in authority, the people rejoice. But when the wicked are in power, they groan.”

Duty Over Security

Too often, pastors remain silent about elections to “keep the peace” or protect their congregation’s size. But prioritising personal security over national well-being is an abandonment of duty. We are called to be known for declaring Christ, but that doesn’t mean we ignore the tools God has given us to promote righteousness.

As Daniel served in Babylon without being contaminated by its system, we can engage in politics without losing our personal holiness.

Like the builders in Nehemiah’s day, we must hold a tool for building the church in one hand and a weapon to defend our families and values in the other.

A New Chapter for Argentina

Today, 42 years after the revival began, we are finally seeing the fruit of “holy involvement.” In 2025, the Argentine government officially recognised evangelical churches as legal entities for the first time. That same year, six evangelical Christians won seats in the legislature. The church is finally finding its voice beyond the sanctuary walls.

Breaking the Silence

In 1 Kings 18, Elijah challenged the people of Israel to stop wavering between God and Baal. The Bible records a chilling detail: “But the people were completely silent.”

In a culture that often mirrors the sensuality and darkness of Baal worship, the church cannot afford to be silent. We must learn from the history of Argentina.

Revival is the engine, but reform is the vehicle. I urge you to be both salt and light — not just in your pews, but at the ballot box.

Article by Rev. Sergio Scataglini is an international speaker and author. He was born in Argentina and is president of Scataglini Ministries, Inc.

CHRITIAN FILMS WORTH WATCHING AND PROMOTING

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The Kendrick Brothers’ SHOW ME THE FATHER is the first documentary film from the creators of WAR ROOM, OVERCOMER, FIREPROOF, and COURAGEOUS. Featuring a variety of amazing true stories, this captivating movie takes audiences of all ages on an inspiring and emotional cinematic journey.

Providing a fresh perspective on the roles of fathers in today’s society, SHOW ME THE FATHER invites you to think differently about how you view your earthly father, and how you personally relate to Father God.

Altizer’s latest project, He Calls Me Daughter is also inspiring. Stephen and Jill Kendrick’s story of adopting their precious daughter from a Chinese orphanage is amazing. The incredible plot twist for American football coaches Deland McCullough and Sherman Smith needs to be seen to be believed. In fact, the film is worth watching just for the beautiful moment of truth between them 64 minutes into the documentary.

He Calls Me Daughter is a little clunky at times, but overall, it’s a moving reminder of the impact, for better or worse, that fathers have. Ultimately, it’s a hopeful film, as it illustrates the incredible love that God, our perfect Father in Heaven, has for us.

PETER THIEL HOSTS PRIVATE ROME CONFERENCE ON ANTICHRIST

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Billionaire investor Peter Thiel, a co-founder of Palantir Technologies (PLTR) has launched a series of private lectures in Rome focused on the concept of the Antichrist, a gathering that has drawn criticism from Catholic commentators and renewed scrutiny of the tech entrepreneur’s religious views, Reuters reported Sunday.

The invitation-only conference began Sunday and runs through Wednesday. The event is closed to the press and organizers haven’t publicly disclosed the location. Reports say participants include figures from academic, technology and religious communities.

Thiel, an early supporter of Donald Trump, has increasingly explored philosophical and theological themes in recent years. In 2025 he hosted a similar set of discussions in San Francisco examining whether an Antichrist figure could emerge in modern global politics. This just confirms we are living in the prophesied Biblical end times prior to Jesus second coming to Earth.

The venture capitalist has warned that such a figure might gain power by promising solutions to global threats such as nuclear war, artificial intelligence risks or climate-related crises.

Raised in an evangelical Christian household, Thiel has said that Christianity plays an important role in shaping his worldview.

His visit has also drawn attention from the Vatican. Under Pope Leo, the first American pope, the Catholic Church has criticized several policies associated with the Trump administration and has raised concerns about the societal risks of artificial intelligence.

Catholic institutions in Rome denied speculation that they were hosting the event, and the pope’s official schedule shows no planned meeting with Thiel, Reuters reported.

Some Catholic commentators have been sharply critical. Father Paolo Benanti, an adviser to the Vatican on AI ethics, argued in an essay that Thiel’s thinking blends technology, politics and theology in ways that challenge mainstream democratic ideas.

Italian Catholic newspaper L’Avvenire also published articles warning that technology leaders shouldn’t be left to determine ethical standards for digital platforms without oversight from democratic institutions.

Thiel remains closely connected to conservative political figures in Washington, including JD Vance. His appearance in Rome follows recent visits to Italy by several prominent figures linked to the U.S. conservative movement, including Steve Bannon and Elon Musk.

WHAT YOU NEED TO KNOW ABOUT AGI

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For those of you that follow my blog know that I am a Christian that has received the Holy Spirit to be my counsellor, teacher, helper and comforter. I allow Him to guide my steps each day. Why do a post on A.G.I? God has given me a talent for business and technology and he expects me to keep up and use it for good.

Biblical prophecy reveals we are in the end times prior to Jesus return to restore righteousness and initiate His 1000 year reign to fulfill the covenants God made with Abraham, Isaac and Jacob when He established the nation of Israel for His purposes. Want to know more about what is next on God’s agenda for planet Earth go to http://www.millennialkingdom.net. We will certainly be using AI in Jesus Millennial Kingdom.

Artificial general intelligence (AGI) is a type of artificial intelligence that matches or surpasses human capabilities across virtually all cognitive tasks. Beyond AGI, artificial superintelligence (ASI) would outperform the best human abilities across every domain by a wide margin. Unlike artificial narrow intelligence (ANI), whose competence is confined to well‑defined tasks, an AGI system can generalise knowledge, transfer skills between domains, and solve novel problems without task‑specific reprogramming.

Creating AGI is a stated goal of AI technology companies such as OpenAI, Google, xAI, and Meta. A 2020 survey identified 72 active AGI research and development projects across 37 countries. Contention exists over whether AGI represents an existential risk. Some AI experts and industry figures have stated that mitigating the risk of human extinction posed by AGI should be a global priority. Others find the development of AGI to be in too remote a stage to present such a risk.

AGI is also known as strong AI, full AI, human-level AI, human-level intelligent AI, or general intelligent action. Some academic sources reserve the term “strong AI” for computer programs that will experience sentience or consciousness. In contrast, weak AI (or narrow AI) can solve one specific problem but lacks general cognitive abilities. Some academic sources use “weak AI” to refer more broadly to any programs that neither experience consciousness nor have a mind in the same sense as humans.

Related concepts include artificial superintelligence and transformative AI. An artificial superintelligence (ASI) is a hypothetical type of AGI that is much more generally intelligent than humans, while the notion of transformative AI relates to AI having a large impact on society, for example, similar to the agricultural or industrial revolution.

A framework for classifying AGI was proposed in 2023 by Google DeepMind researchers. They define five performance levels of AGI: emerging, competent, expert, virtuoso, and superhuman. For example, a competent AGI is defined as an AI that outperforms 50% of skilled adults in a wide range of non-physical tasks, and a superhuman AGI (i.e. an artificial superintelligence) is similarly defined but with a threshold of 100%. They consider large language models like ChatGPT or LLaMA 2 to be instances of emerging AGI (comparable to unskilled humans). Regarding the autonomy of AGI and associated risks, they define five levels: tool (fully in human control), consultant, collaborator, expert, and agent (fully autonomous).

Researchers generally hold that a system is required to do all of the following to be regarded as an AGI:

Many interdisciplinary approaches (e.g. cognitive science, computational intelligence, and decision making) consider additional traits such as imagination (the ability to form novel mental images and concepts) and autonomy.

Computer-based systems exhibiting these capabilities are now widespread, with modern large language models demonstrating computational creativity, automated reasoning, and decision support simultaneously across domains. Earlier systems such as evolutionary computation, intelligent agents, and robots demonstrated these capabilities in isolation, but the convergence of multiple cognitive abilities within single architectures from GPT-3.5 onwards marked a qualitative shift in the field.

Physical traits

Other capabilities are considered desirable in intelligent systems, as they may affect intelligence or aid in its expression. These include:

This includes the ability to detect and respond to hazard.

Tests for human-level AGI

Several tests meant to confirm human-level AGI have been considered, including: The Turing Test (Turing)

The Turing test can provide some evidence of intelligence, but it penalizes non-human intelligent behaviour and may incentivize artificial stupidity.

Proposed by Alan Turing in his 1950 paper “Computing Machinery and Intelligence”, this test involves a human judge engaging in natural language conversations with both a human and a machine designed to generate human-like responses. The machine passes the test if it can convince the judge that it is human a significant fraction of the time. Turing proposed this as a practical measure of machine intelligence, focusing on the ability to produce human-like responses rather than on the internal workings of the machine. Turing described the test as follows: The idea of the test is that the machine has to try and pretend to be a man, by answering questions put to it, and it will only pass if the pretence is reasonably convincing. A considerable portion of a jury, who should not be experts about machines, must be taken in by the pretence.

In 2014, a chatbot named Eugene Goostman, designed to imitate a 13-year-old Ukrainian boy, reportedly passed a Turing Test event by convincing 33% of judges that it was human. However, this claim was met with significant scepticism from the AI research community, who questioned the test’s implementation and its relevance to AGI. In 2023, Kirk-Giannini and Goldstein argued that while large language models were approaching the threshold of passing the Turing test, “imitation” is not synonymous with “intelligence”. This distinction has been challenged on scientific grounds: neuroscience has established that biological intelligence arises from electrochemical signalling between neurons — a purely physical process with no known non-physical component. Both biological neural networks and artificial neural networks are physical systems processing information according to physical laws; to claim that one substrate produces “real” intelligence while the other produces “mere imitation” despite equivalent observable behaviour requires positing a non-physical property unique to biological matter — a position in tension with modern science and akin to substance dualism. A 2024 study suggested that GPT-4 was identified as human 54% of the time in a randomized, controlled version of the Turing Test—surpassing older chatbots like ELIZA while still falling behind actual humans (67%). A 2025 pre‑registered, three‑party Turing‑test study by Cameron R. Jones and Benjamin K. Bergen showed that GPT-4.5 was judged to be the human in 73% of five‑minute text conversations—surpassing the 67% humanness rate of real confederates and meeting the researchers’ criterion for having passed the test. The Robot College Student Test (Goertzel)A machine enrols in a university, taking and passing the same classes that humans would, and obtaining a degree. LLMs can now pass university degree-level exams without even attending the classes. The Employment Test (Nilsson) A machine performs an economically important job at least as well as humans in the same job. This test is now arguably passed across multiple domains. In knowledge work, frontier large language models are deployed as autonomous agentic systems handling software engineering, legal research, financial analysis, customer service, and marketing tasks. The Ikea test (Marcus) Also known as the Flat Pack Furniture Test. An AI views the parts and instructions of an Ikea flat-pack product, then controls a robot to assemble the furniture correctly. As early as 2013, MIT’s IkeaBot demonstrated fully autonomous multi-robot assembly of an IKEA Lack table in ten minutes, with no human intervention and no pre-programmed assembly instructions — the robots inferred the assembly sequence from the geometry of the parts alone. In December 2025, MIT researchers demonstrated a “speech-to-reality” system combining large language models with vision-language models and robotic assembly: a user says “I want a simple stool” and a robotic arm constructs the furniture from modular components within five minutes, using generative AI to reason about geometry, function, and assembly sequence from natural language alone. The Furniture Bench benchmark, published in the International Journal of Robotics Research in 2025, now provides a standardised real-world furniture assembly benchmark with over 200 hours of demonstration data for training and evaluating autonomous assembly systems. The Coffee Test (Wozniak) A machine is required to enter an average American home and figure out how to make coffee: find the coffee machine, find the coffee, add water, find a mug, and brew the coffee by pushing the proper buttons. This test has been substantially approached across multiple systems. In January 2024, Figure AI‘s Figure 01 humanoid learned to operate a Keurig coffee machine autonomously after watching video demonstrations, using end-to-end neural networks to translate visual input into motor actions. In 2025, researchers at the University of Edinburgh published the ELLMER framework in Nature Machine Intelligence, demonstrating a robotic arm that interprets verbal instructions, analyses its surroundings, and autonomously makes coffee in dynamic kitchen environments — adapting to unforeseen obstacles in real time rather than following pre-programmed sequences. China-based Stardust Intelligence demonstrated its Astribot S1 using Physical Intelligence‘s model to make coffee from the high-level command “make coffee”, with the system identifying objects such as mugs and coffee makers even when misplaced or in unexpected locations. Physical Intelligence subsequently reported that its π*0.6 model could make espresso continuously for an entire day with failure rates dropping by more than half compared to earlier versions. The strict form of the test — entering a completely unfamiliar home and navigating it from scratch — has not been formally demonstrated end-to-end, though the combination of LLM-driven reasoning, visual object recognition in novel environments, and autonomous manipulation brings current systems close to meeting the original specification. The Modern Turing Test (Suleyman) An AI model is given US$100,000 and has to obtain US$1 million. This test was arguably surpassed in October 2024 by Truth Terminal, a semi-autonomous AI agent built on Meta‘s Llama 3.1 (with earlier iterations based on Claude 3 Opus). Created by AI researcher Andy Ayrey, Truth Terminal originated from an experiment called “Infinite Backrooms” in which two Claude Opus instances were allowed to converse freely, during which they spontaneously generated a satirical meme religion dubbed the “Goatse Gospel”. After venture capitalist Marc Andreessen donated US$50,000 in Bitcoin to the agent, Truth Terminal’s promotion of the Goatseus Maximus (GOAT) memecoin on the Solana blockchain drove the token to over US$1 billion in market capitalisation within days of its launch — far exceeding Suleyman’s US$1 million threshold. Truth Terminal’s own crypto wallet accumulated approximately US$37.5 million, making it the first AI agent to become a millionaire through its own market activity. The test’s spirit – demonstrating that an AI can generate substantial economic value from a modest starting position — was met, though with caveats: Ayrey reviewed posts before publication and assisted with wallet mechanics, making the agent semi-autonomous rather than fully independent. The General Video-Game Learning Test (Goertzel, Bach et al.) An AI must demonstrate the ability to learn and succeed at a wide range of video games, including new games unknown to the AGI developers before the competition. The importance of this threshold was echoed by Scott Aaronson during his time at OpenAI. In December 2025, Google DeepMind released SIMA 2 (Scalable Instructable Multiworld Agent), a Gemini-powered generalist agent that operates across multiple commercial 3D games — including No Man’s Sky, Valheim, and Goat Simulator 3 — using only rendered pixels and a virtual keyboard and mouse, with no access to game source code or internal APIs. Where the original SIMA achieved a 31% success rate on complex tasks compared to humans at 71%, SIMA 2 roughly doubled that rate and demonstrated robust generalisation to previously unseen game environments, including self-improvement through autonomous play without human feedback. Separately, frontier LLMs with computer-use capabilities can interact with arbitrary software through screen observation and mouse/keyboard control, theoretically enabling gameplay of any title, though current implementations remain too slow for real-time performance in fast-paced games. The test has not been formally passed in its strictest sense — a single agent mastering any arbitrary unseen game at human level — but the gap is narrowing rapidly.

AI-complete problems (AI-complete)

A problem is informally called “AI-complete” or “AI-hard” if it is believed that AGI would be needed to solve it, because the solution is beyond the capabilities of a purpose-specific algorithm.

Many problems have been conjectured to require general intelligence to solve. Examples include computer vision, natural language understanding, and dealing with unexpected circumstances while solving any real-world problem. Even a specific task like translation requires a machine to read and write in both languages, follow the author’s argument (reason), understand the context (knowledge), and faithfully reproduce the author’s original intent (social intelligence). All of these problems need to be solved simultaneously in order to reach human-level machine performance. However, many of these tasks can now be performed by modern large language models. According to Stanford University‘s 2024 AI index, AI has reached human-level performance on many benchmarks for reading comprehension and visual reasoning.

In September 2025, a review of surveys of scientists and industry experts from the last 15 years reported that most agreed that artificial general intelligence (AGI) will occur before the year 2100. A more recent analysis by AIMultiple reported that, “Current surveys of AI researchers are predicting AGI around 2040”. OpenAI CEO Sam Altman said in December 2025 that “we built AGIs” and that “AGI kinda went whooshing by” with less societal impact than expected, proposing the field move on to defining superintelligence.

The artificial neuron model assumed by Kurzweil and used in many current artificial neural network implementations is simple compared with biological neurons. A brain simulation would likely have to capture the detailed cellular behaviour of biological neurons, presently understood only in broad outline. The overhead introduced by full modelling of the biological, chemical, and physical details of neural behaviour (especially on a molecular scale) would require computational powers several orders of magnitude larger than Kurzweil’s estimate. In addition, the estimates do not account for glial cells, which are known to play a role in cognitive processes.

Whole brain emulation is a type of brain simulation that is discussed in computational neuroscience and neuroinformatics, and for medical research purposes. It has been discussed in artificial intelligence research as an approach to strong A.I. Neuroimaging technologies that could deliver the necessary detailed understanding are improving rapidly, and futurist Ray Kurzweil in the book The Singularity Is Near predicts that a map of sufficient quality will become available on a similar timescale to the computing power required to emulate it. A fundamental criticism of the simulated brain approach derives from embodied cognition theory, which asserts that human embodiment is an essential aspect of human intelligence and is necessary to ground meaning. If this theory is correct, any fully functional brain model will need to encompass more than just the neurons (e.g., a robotic body). Goertzel proposes virtual embodiment (like in metaverses like Second Life) as an option, but it is unknown whether this would be sufficient.

“Strong AI” as defined in philosophy

In 1980, philosopher John Searle coined the term “strong AI” as part of his Chinese room argument. He proposed a distinction between two hypotheses about artificial intelligence:[e]

  • Strong AI hypothesis: An artificial intelligence system can have “a mind” and “consciousness”.
  • Weak AI hypothesis: An artificial intelligence system can (only) act like it thinks and has a mind and consciousness.

The first one he called “strong” because it makes a stronger statement: it assumes something special has happened to the machine that goes beyond those abilities that we can test. The behaviour of a “weak AI” machine would be identical to a “strong AI” machine, but the latter would also have subjective conscious experience. This usage is also common in academic AI research and textbooks.

In contrast to Searle and mainstream AI, some futurists such as Ray Kurzweil use the term “strong AI” to mean “human level artificial general intelligence”. This is not the same as Searle’s strong AI, unless it is assumed that consciousness is necessary for human-level AGI. Academic philosophers such as Searle do not believe that is the case, and to most artificial intelligence researchers, the question is out of scope.

Mainstream AI is most interested in how a program behaves. According to Russell and Norvig, “as long as the program works, they don’t care if you call it real or a simulation.” If the program can behave as if it has a mind, then there is no need to know if it actually has a mind – indeed, there would be no way to tell. For AI research, Searle’s “weak AI hypothesis” is equivalent to the statement “artificial general intelligence is possible”. Thus, according to Russell and Norvig, “most AI researchers take the weak AI hypothesis for granted, and don’t care about the strong AI hypothesis.” Thus, for academic AI research, “Strong AI” and “AGI” are two different things.

Consciousness (Artificial consciousness)

Consciousness can have various meanings, and some aspects play significant roles in science fiction and the ethics of artificial intelligence:

  • Sentience (or “phenomenal consciousness”): The ability to “feel” perceptions or emotions subjectively, as opposed to the ability to reason about perceptions. Some philosophers, such as David Chalmers, use the term “consciousness” to refer exclusively to phenomenal consciousness, which is roughly equivalent to sentience. Determining why and how subjective experience arises is known as the hard problem of consciousness. Thomas Nagel explained in 1974 that it “feels like” something to be conscious. If we are not conscious, then it doesn’t feel like anything. Nagel uses the example of a bat: we can sensibly ask “what does it feel like to be a bat?” However, we are unlikely to ask “what does it feel like to be a toaster?” Nagel concludes that a bat appears to be conscious (i.e., has consciousness) but a toaster does not. In 2022, a Google engineer claimed that the company’s AI chatbot, LaMDA, had achieved sentience, though this claim was widely disputed by other experts.
  • Self-awareness: To have conscious awareness of oneself as a separate individual, especially to be consciously aware of one’s own thoughts. This is opposed to simply being the “subject of one’s thought”—an operating system or debugger can be “aware of itself” (that is, to represent itself in the same way it represents everything else)—but this is not what people typically mean when they use the term “self-awareness”. In some advanced AI models, systems construct internal representations of their own cognitive processes and feedback patterns—occasionally referring to themselves using second-person constructs such as ‘you’ within self-modelling frameworks.

These traits have a moral dimension. AI sentience would give rise to concerns of welfare and legal protection, similarly to animals. Other aspects of consciousness related to cognitive capabilities are also relevant to the concept of AI rights. Figuring out how to integrate advanced AI with existing legal and social frameworks is an emergent issue.

Benefits of AGI

AGI could improve productivity and efficiency in most jobs. For example, in public health, AGI could accelerate medical research, notably against cancer. It could take care of the elderly, and democratize access to rapid, high-quality medical diagnostics. It could offer fun, inexpensive and personalized education. The need to work to subsist could become obsolete if the wealth produced is properly redistributed. This also raises the question of the place of humans in a radically automated society.

AGI could also help to make rational decisions, and to anticipate and prevent disasters. It could also help to reap the benefits of potentially catastrophic technologies such as nanotechnology or climate engineering, while avoiding the associated risks. If an AGI’s primary goal is to prevent existential catastrophes such as human extinction (which could be difficult if the Vulnerable World Hypothesis turns out to be true), it could take measures to drastically reduce the risks while minimizing the impact of these measures on our quality of life.

If you’re not using AI daily in your work, you’re falling behind exponentially. Not linearly. Exponentially.

“Let the wise listen and add to their learning, and let the discerning get guidance.”—Proverbs 1:5

Skills may change, but the posture remains the same: humility, growth and a willingness to learn.

SOCIETAL TIME BOMB: ISLAMISM IN EUROPE

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German police study finds 45 percent of Muslims aged under 40 hold Islamist views. Germany, it turns out, is not alone. A separate study in France by the respected polling service Ifop found 44 per cent of Muslims say the rules of Islam are more important than French law. Among those aged 15–24, the number climbs to 57 per cent. Even more striking, 38 per cent of French Muslims express support for Islamist positions, double the level recorded in 1998.

Muslim street prayer in Paris

Europeans were assured that mass migration required only patience, a few diversity workshops, and perhaps a taxpayer-funded hummus festival in order to be successful. They were lied to.

A newly released study by Germany’s Federal Criminal Police Office (BKA) has delivered what officials are politely calling an “explosive” finding: Nearly half of Muslims under the age of 40 in Germany hold Islamist views. Not a small fringe. Not a handful of radicals in the shadows. Half. According to the 598-page Motra Monitor report, 45.1 per cent of Muslims under 40 hold either “latent or manifestly Islamist attitudes.”

In plain English, that means many express sympathy for Islamist ideology, prefer Sharia law over Germany’s constitution, and harbour anti-Semitic prejudices. Politicians that repeatedly said… “diversity is our strength” are now having a rethink.

Alarm Bells

Even some German politicians appear to have noticed the problem. Wolfgang Kubicki of the Free Democrats looked at the numbers and suggested they should “set off all the alarm bells,” describing the situation as a “societal time bomb”. He added that Germany must stop “naively looking away,” a refreshing statement given that naively looking away has been government policy for roughly 20 years.

Kubicki went further, pointing out the rather obvious truth that anyone demanding a caliphate is an enemy of democracy, and suggesting that non-citizens advocating such ideas should be deported. Which, if you think about it, is a fairly modest proposal: if you openly oppose the constitutional order of the country hosting you, perhaps you shouldn’t live there. Radical stuff.

The study’s authors say the most worrying demographic is precisely the one Europe was assured would be the most integrated: young Muslims under 40.

Islamism researcher Prof. Susanne Schröter said these attitudes typically involved believing Islamist interpretations of Islam were correct, supporting groups aligned with the Muslim Brotherhood, preferring Sharia to Germany’s Basic Law, and — somewhat predictably — holding anti-Jewish views.

Researchers also noted a spike in radicalisation following the October 7 Hamas attacks in 2023, which triggered demonstrations across Europe where young Muslims and far-left activists united in the timeless political tradition of shouting about Israel and occasionally smashing things.

At the same time, Christianity in France — once the cultural backbone of the country — continues its rapid collapse.

So to summarise Europe’s grand social experiment: Christianity is being diluted and disappearing. Islam is being radicalised and growing. The political class insist everything is fine.

We know we are fast approaching the return of Jesus. Why? Because there are 2000 prophecies of Jesus return and what is next on God’s agenda for planet Earth; Jesus Millennial Kingdom. The nation Israel is central to end times prophecies and it did not exist prior to 1948. Israel being reborn in one day is therefore the prime end times prophecy and proof the Bible is God’s word. The rest of Biblical end times prophecies are playing out in our day. Another big one is apostasy, a great falling away in the church.

Core End-Times Apostasy Passages (NKJV)

Matthew 24:10-12 (Jesus’ Olivet Discourse on end-times signs; many will fall away amid false prophets and lawlessness): “And then many will be offended, will betray one another, and will hate one another. Then many false prophets will rise up and deceive many. And because lawlessness will abound, the love of many will grow cold.”

2 Thessalonians 2:3 (the classic “great falling away” or “great apostasy” verse, directly stating it must precede the Day of the Lord): “Let no one deceive you by any means; for that Day will not come unless the falling away comes first, and the man of sin is revealed, the son of perdition…” (Context: 2 Thessalonians 2:1-4 describes this as a prerequisite event before the revelation of the Antichrist and final judgment.)

1 Timothy 4:1-3 (the Holy Spirit explicitly warns of departure from the faith in “latter times”): “Now the Spirit expressly says that in latter times some will depart from the faith, giving heed to deceiving spirits and doctrines of demons, speaking lies in hypocrisy, having their own conscience seared with a hot iron, forbidding to marry, and commanding to abstain from foods which God created to be received with thanksgiving by those who believe and know the truth.“

2 Timothy 4:3-4 (in the last days, people will reject sound doctrine for teachers who affirm their desires): “For the time will come when they will not endure sound doctrine, but according to their own desires, because they have itching ears, they will heap up for themselves teachers; and they will turn their ears away from the truth, and be turned aside to fables.”

2 Timothy 3:1-5 (perilous times in the “last days,” with a form of godliness but denying its power—characteristic of institutional/church apostasy): “But know this, that in the last days perilous times will come: For men will be lovers of themselves, lovers of money, boasters, proud, blasphemers, disobedient to parents, unthankful, unholy, unloving, unforgiving, slanderers, without self-control, brutal, despisers of good, traitors, headstrong, haughty, lovers of pleasure rather than lovers of God, having a form of godliness but denying its power. And from such people turn away!”