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!”

HOW CHRISTIANS CAN SUCCEED TODAY

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What happens to Western civilisation when it rejects its Christian and Jewish foundations? This a great video from Greg Sheridan.
In this wide-ranging conversation at the Institute of Public Affairs, Greg Sheridan joins John Roskam to discuss his book How Christians Can Succeed Today: Reclaiming the Genius of the Early Church. This is the third book in a trilogy on the Christian faith: 1. God is Good For You, 2. Christians: The Urgent Case for Jesus in Our World, 3. How Christians Can Succeed Today: Reclaiming the Genius of the Early Church. Greg did not realise it but the trilogy covers the Trinity – 1. God the Father, 2. Jesus and 3. The Holy Spirit.

Sheridan argues that the early Christians faced a far more hostile culture than Christians in the modern West, yet transformed that culture through courage, clarity, conviction, and faith. “You will never lose if you never give up.”

He explores what their example means today for Christians, conservatives, and anyone concerned about the future of Western civilisation.

The discussion covers:

  • Why Sheridan believes “everything good in Western civilisation” comes from the Christian and Jewish tradition
  • What the early church can teach modern Christians
  • Why the West has become increasingly hostile to Christianity
  • The rise of a new paganism in modern culture
  • Signs of Christian revival among younger generations
  • Whether Australia is still a Christian country
  • Why Sheridan takes a measured view of Donald Trump

This is a conversation about faith, culture, civilisation, and whether renewal is still possible. Greg is a great communicator. You will enjoy and benefit from the information he shares.

IS MULTICULTURALISM GOOD FOR SOCIETY?

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When multiculturalism was initiated in Australia, the ‘good feeling’ about it was that we wanted to be a welcoming nation to those from different backgrounds. The hope was that we would continue to learn from each other in some kind of ‘big melting pot’ as the 1970s song suggested. But the idea that cultures carry beliefs that are grounded in different trust paradigms (different faiths) might put a strain on our Judeo-Christian traditions, was rejected.

This has proved to be radically wrong with people of the Muslim faith. In his book Christ and Culture Revisited, D.A. Carson clearly described at least one point of difference that would not only cause an irretrievable rift between faith systems, but would also be an irreconcilable point of difference within a civil and tolerant society. The issue Carson identified was the use of violence as part of spreading the respective belief system. The Koran clearly states that unbelievers need to convert or they are killed.

Mike Johnson Speaker of the House in the US recently expressed his concern about Muslims, “But when you seek to come to a country and not assimilate, but to impose Sharia law — Sharia law is in conflict with the Constitution — that is the conflict that people are talking about. It is not about people, as Muslims; it is about those who seek to impose a different belief system that is in direct conflict with the Constitution.” Johnson was echoing sentiments he expressed last month, when he noted that the Bible does not demand a nation accept immigrants who refuse to assimilate.

We [devout conservative Christians] reserve the right to proclaim Christ, and we will give our lives to maintain that right; but we have no interest in the ostensible “conversions” achieved at sword-tip, and we distance ourselves from forebears who did not see that point clearly.

What might this mean for Australia, currently? Functionally, if we cut ourselves off from our Judeo-Christian heritage, we will lose the capacity to judge well in terms of the ‘rightness and wrongness’ that has built this society in the last two hundred years. We will increasingly become, like many of our leaders, everyday pagans, accepting and participating in different religious ceremonies and rituals, because ‘they are all the same’, so let’s just keep the people we are with happy.

Without a set of core beliefs grounded in universal respect, we will find no civic good that is common anymore. We will wander in the fog of despair and increasingly stimulate our senses to convince ourselves that we are OK. The mist of our lives will make us blind to the real needs of our youth and elderly.

Given that it is not the law that makes good people, but it is good people that make good society possible, what are those who still believe in the Giver of Good to do? Carson expressed it well when he wrote that perhaps… the most attractive outworking by far is found in the individual Christian or group of Christians who, precisely because they live out their faith, become involved not only in bold witness but also in ways of helping others in the community that cross many thresholds normally controlled by government agencies.

Or, as the apostle Paul wrote, we are saved by grace through faith to do the good works God has planned for us (Ephesians 2:8-10) – and this, quoting Paul’s founder, is to be our offering of salt and light to our world, right here, right now.

The world does not realise that another dimension exists outside of this space/time continuum. Without our creator God revealing the truth about our Cosmos and condition we have no understanding and have come up with evolution and the Big Bang as a theory for its existence without a creator God. There is only one place one can go for the true history of the Cosmos and planet Earth and that is God’s Word , the Bible. Fortunately God has raised up ministries like http://www.creation.com and http://www.answersingenesis.com where people can find evidence from PhD scientists that prove the Bible’s history fits the scientific evidence.

The greatest proof of the truth of God’s Word is fulfilled prophecies. God has given us the history of this Cosmos not only from its miraculous beginning but to its fiery end. Moreover, it is fascinating to follow Biblical end times prophecies playing out in our day. Most of the posts on this blog are given over to providing this information.

PROOF THE ANTICHRIST WILL SOON APPEAR

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Silicon Valley Elites, led by Peter Thiel (Palantir), a self confessed homosexual, are holding secret sessions on the Antichrist.

Palantir Technologies Inc. is an American publicly traded company that develops data integration and analytics platforms enabling government agencies, militaries, and corporations to combine and analyse data from multiple sources. Its flagship products—Gotham (for intelligence and defence) and Foundry (for commercial and civil use)—connect previously siloed databases to support intelligence operations, counterterrorism analysis, law enforcement, and enterprise analytics.[Headquartered in Miami, Florida, it was founded in 2003 by Peter Thiel, Stephen Cohen, Joe Lonsdale, Alex Karp, and Nathan Gettings.

Palantir’s customer base includes federal agencies, state and local governments, international organizations, and also private companies. The company has four main operating systems: Palantir Gotham, Palantir Foundry, Palantir Apollo, and Palantir AIP. Palantir Gotham is an intelligence tool used by militaries and counter-terrorism analysts, including the United States Intelligence Community (USIC) and United States Department of Defence. Multiple police departments have used Gotham for crime analysis. Civil liberties organizations including the ACLU have criticized this use as predictive policing. 

Why are all of Silicon Valley elites attending these Antichrist sessions? Well, they’re no ordinary lectures. This is a cultural moment. In fact, the Antichrist himself could be present. They have an agenda and it’s likely not God’s agenda. God’s word warns about the Antichrist. More likely, these guys are setting the stage to introduce the man of sin to the world, to prepare the world to receive him. And the irony is, like I have said before, when was the last time your pastor spoke about the Antichrist? if ever.

At these events there will be no filming or recording. Are they planning to help him rise and come to power? Since most churches DON’T talk about Antichrist, the Silicon Elites vision of him will dominate the culture. Click here to watch this Nelson Walters video and discover what they are likely talking about.

WHAT’S NEXT IN BIBLICAL END TIMES PROPHECY

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Has Iran’s new leader triggered the ancient end times prophecies of Daniel? What comes next? In this urgent Nelson Walters video, he discusses the latest “Iran news” and gives an “Iran update” following recent events in the Middle East. He discusses potential candidates for Iran’s “Third King” of Dan 11 (Mojtaba Khamenei or Reza Pahvlavi) and for their “Fourth King.” He dives into the escalating “middle east tensions” and provides a “geopolitical analysis” of the “Iran strikes” and their connection to Daniel 8. This is crucial for understanding current “world news” through a “Bible study” lens.

There are almost two thousand prophecies of Jesus second coming to Earth and His coming Millennial Kingdom. God wants you to be prepared for what is next on His agenda for planet Earth. Satan has ruled for 6000 years now it is time for Jesus to rule for the final 1000 years, The nation God established for His purposes must fulfill its destiny, likewise the covenants God made with Abraham, Isaac, Jacob, David and the new covenant will be fulfilled. For more information on Jesus coming Millennial reign go to http://www.millennialkingdom.net.

New Covenant:

“Behold, the days are coming, says the Lord, when I will make a new covenant with the house of Israel and with the house of Judah—not according to the covenant that I made with their fathers in the day that I took them by the hand to lead them out of the land of Egypt, My covenant which they broke, though I was a husband to them, says the Lord. But this is the covenant that I will make with the house of Israel after those days, says the Lord: I will put My law in their minds, and write it on their hearts; and I will be their God, and they shall be My people. No more shall every man teach his neighbor, and every man his brother, saying, ‘Know the Lord,’ for they all shall know Me, from the least of them to the greatest of them, says the Lord. For I will forgive their iniquity, and their sin I will remember no more.” Jeremiah 31:31-34

“I will give you a new heart and put a new spirit within you; I will take the heart of stone out of your flesh and give you a heart of flesh. I will put My Spirit within you and cause you to walk in My statutes, and you will keep My judgments and do them.” Ezekiel 36:26-27

“But now He has obtained a more excellent ministry, inasmuch as He is also Mediator of a better covenant, which was established on better promises. For if that first covenant had been faultless, then no place would have been sought for a second… In that He says, ‘A new covenant,’ He has made the first obsolete.” (Full quote of Jer. 31:31-34 follows) Hebrews 8:6-13