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.
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:
reason, use strategy, solve puzzles, and make judgments under uncertainty,
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.
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 futuristRay 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 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.
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!”
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.
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 theuse of violenceas 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.
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.
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 Israeland 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
Bunnings has had a win in the Administrative Appeals Tribunal, having a decision overturned that it breached privacy rules by using facial recognition to combat violent retail crime. Even so, the AAT says it failed to properly tell customers their images were being collected.
The tribunal found Bunnings met the necessary thresholds to suspect unlawful activity, and reasonably believed the collection of sensitive information could help its quest to address the crime issue.
People are being programmed to take the mark of the Beast
As prophesied, the world has moved into moral and spiritual decline—where truth is rejected, sin is celebrated, and even many in the visible church drift from biblical truth. This prepares humanity for a global deception and the rise of the Antichrist.
The Antichrist arises during a time of worldwide turmoil—offering peace, unity, and stability through a one-world system.
Revelation 13:16–17 – “He causes all, both small and great… to receive a mark on their right hand or on their foreheads, that no one may buy or sell except one who has the mark.”
This prophecy predicts an economic control system requiring allegiance to the Beast. In our modern world, technologies like microchips, digital identification, and centralized financial tracking have made such control technologically feasible for the first time in history.
5. The Great Tribulation and Rapture
Key Passages:
Matthew 24:21–22 – “Then there will be great tribulation, such as has not been since the beginning of the world.”
Daniel 12:1 – “There shall be a time of trouble such as never was since there was a nation.”
During this period, the Antichrist persecutes believers and the Jewish people. This time of tribulation, even great tribulation God uses to purify His church. Then God takes them out with the trumpet blast at the opening of the seventh seal before He pours out His wrath upon the unrepentant with the Trumpet and Bowl judgements. God also preserves a remnant of Israel (144,000).
6. The Gathering of the Nations Against Israel
Key Passages:
Revelation !6:16 “For they are demonic spirits, performing signs, who go abroad to the kings of the whole world, to assemble them for battle on the great day of God the Almighty… And they assembled them at the place that in Hebrew is called Armageddon.”
As global hostility toward Israel intensifies, a massive coalition gathers in the region of Megiddo (Armageddon). The Antichrist’s goal is to annihilate Israel and defy God’s covenant promises.
7. The Return of Jesus Christ
Key Passages:
Zechariah 14:3–4 – “Then the Lord will go forth and fight against those nations… and His feet will stand on the Mount of Olives.”
Revelation 19:11–16 – “Then I saw heaven opened, and behold, a white horse… and the armies in heaven followed Him.”
At Israel’s darkest hour, when destruction seems unavoidable, Jesus Christ returns in power and glory. The heavens open, and He descends as King of kings and Lord of lords. The Antichrist and False Prophet are cast alive into the lake of fire (Revelation 19:20). His Word alone destroys the armies gathered against Jerusalem.
8. The Liberation and Restoration of Israel
Key Passages:
Romans 11:26 – “And so all Israel will be saved.”
Ezekiel 36:24–28 – “I will sprinkle clean water on you… I will give you a new heart and put a new spirit within you.”
Jesus delivers Israel and establishes His righteous reign from Jerusalem. The Jewish people recognize Him as their Messiah (Zechariah 12:10), and the Kingdom of God on earth begins—the Millennial Reign of Christ (Revelation 20:1–6). Go to http://www.millennialkingdom.net to learn more about what is next on God’s agenda for planet Earth and to prepare to rule and reign with Jesus for the next 1000 years. We have had 6000 years of Satan’s rule, ahead is 1000 years of Jesus and the Saints ruling the world. Sadly, it needs to be with a rod of iron as the curse is not lifted off the Cosmos. Moreover, we know that when Satan is released at the end of the 1000 years he is still able to raise an enormous army to come against Jesus and the Saints.
Conclusion – The Hope of His Coming
For believers, the promise of Jesus’ return is not one of fear but hope. Though deception, tribulation, and judgment will come, God’s plan ends not in destruction but in restoration—of Israel, of creation, and of His people dwelling forever in His presence.
“Behold, He is coming with clouds, and every eye will see Him.” — Revelation 1:7
The Rise of Gemini 3 and AI Super Intelligence: A Game Changer in AI Technology.
Gemini 3.0, released on 18 November 2025, marks a clear pivot in Google’s AI strategy. Instead of a small upgrade, it introduces deeper reasoning, native multimodality, and a 1 million token context window, aiming to move from simple chat style assistance to agent like systems that can plan and execute complex tasks over time.
This launch lands in the middle of a three way race between Google, OpenAI, and Anthropic, where models such as GPT 5.1 focus on speed, conversational flow, and everyday usability. Gemini 3.0 takes a different angle, it leans into high end reasoning, long context understanding, and tightly integrated tooling such as Deep Think mode, native video and audio handling, and Google’s new Antigravity agentic IDE.
For developers, teams, everyday users, AI curious readers, the real question is simple, what do these changes actually unlock in practice. In this blog, we will walk through what is new in Gemini 3.0, what has meaningfully improved over earlier Gemini versions, and where it now stands against other frontier models, so you can decide whether it deserves a place for your requirement.
Key Improvements in Gemini 3.0
Gemini 3.0 focuses on three core upgrades, deeper reasoning, stronger multimodality, and a much larger context window. Together, these turn it from a fast responder into a model that can handle complex workflows, long documents, and richer media.
Area
What Changed in Gemini 3.0
Why It Matters
Reasoning
Configurable Deep Think mode
Better accuracy on complex, multi-step problems
Multimodality
Stronger video, audio, and document understanding
Fewer glue systems and custom preprocessing
Context and retrieval
1 million token context with caching
Entire codebases or reports in a single active window
1.1 Deep Think reasoning upgrade
Gemini 3.0 introduces aThinking Level parameter that controls how much internal reasoning the model performs before it replies. At low levels it behaves like a fast chat assistant with minimal overhead. At higher levels the model runs longer internal chains of thought, evaluates alternative solution paths, and self corrects before producing an output.
This Deep Think mode delivers measurable gains on frontier reasoning benchmarks. On the Humanity’s Last Exam benchmark, the Deep Think configuration of Gemini 3 Pro scores around 41 percent, compared to about 37.5 percent in the standard configuration. The tradeoff is cost and latency, since these hidden reasoning steps are billed as extra output tokens and add time to each response.
For practical use, Deep Think is most useful when:
You are solving hard technical or scientific questions where accuracy matters more than speed
You need the model to plan multi step tasks, such as refactoring a complex module or drafting a multi part research summary
You want more robust reasoning on ambiguous inputs, rather than quick but shallow answers
Developers can tune this behavior through the Gemini API or managed services such as Gemini 3 Pro on Vertex AI, which expose Deep Think as an explicit mode in selected tiers.
1.2 Native multimodality improvements
Gemini 3.0 continues Google’s native multimodal approach, where text, images, audio, video, and code are handled inside a single model instead of stitched together with separate encoders. This shows up most clearly in three areas.
Video understanding Gemini 3.0 treats video as atemporal stream, not just a sequence of frames. It can track objects across time, answer questions like when a specific event happens, and support different media resolutions depending on whether you need coarse action recognition or detailed text reading inside frames.
Audio and live conversation The model ships with a low latency audio encoder and a Live API for real time speech to speech interaction. It can handle interruptions, intonation, and more natural, back and forth conversations, which makes it suitable for support agents, tutoring, and ambient assistants.
Document intelligence for PDFs Gemini 3.0 can ingest PDFs as visual plus textual objects, which helps with layouts that combine text, charts, and tables. Its recommended medium resolution mode is tuned so that it can read dense pages accurately without burning the entire context window on a single document.
For teams working with mixed media, this reduces the need for external OCR tools, separate vision models, or custom pipelines just to get different formats into one AI workflow.
1.3 The 1 million token context window
One of the most visible changes in Gemini 3.0 is the 1,048,576 token input context window for Gemini 3 Pro, with up to 65,536 tokens of output. This is large enough to hold:
Entire code repositories or large subsystems
Full legal contracts or policy manuals, not just excerpts
Long meeting transcripts, research notes, or video transcripts in a single session
To keep this usable in practice, Gemini 3.0 also adds implicit and explicit context caching. Instead of paying repeatedly to reprocess the same large document or codebase, you can pin that context and query it multiple times at a reduced effective cost.
Compared to models that rely on smaller windows plus retrieval, this approach makes it easier to keep subtle relationships and global structure intact, especially when you are asking questions that depend on how different parts of a large document or codebase interact. For developers building long running agents or research assistants, this is one of the defining capabilities of Gemini 3.0, and it is a key reason it is positioned as a high end reasoning and analysis model in Google’s lineup, alongside options exposed through the Gemini API for Google AI developers.
The Model Constellation: Pro, Flash, and Ultra
Gemini 3.0 is not a single model. It is a family of tiers designed to cover everything from high end reasoning in the cloud to lightweight on device experiences. At the center is Gemini 3 Pro, extended by a Deep Think mode for maximum reasoning depth, an Ultra tier for premium workloads, and a carryover Flash and Nano lineage for speed and on device use.
How the pieces fit together:
Model or Mode
Role in the Lineup
Typical Use Case
Gemini 3 Pro
Flagship general model
Multimodal apps, agents, advanced chat
Pro Deep Think
High depth reasoning mode
Hard science, analysis, complex planning
Gemini 3 Ultra
Premium frontier tier
Enterprise, mission-critical workloads
Flash and Flash Lite
Cost-efficient, high throughput models
Large-volume consumer apps, simple calls
Nano lineage
On-device lightweight models
Mobile, privacy-sensitive, offline features
2.1 Gemini 3 Pro
Gemini 3 Pro is the main model most developers and teams will interact with. It is positioned as the best default for multimodal understanding and agentic coding, with full support for tools, long context, and integration into Google’s broader AI stack.
It anchors products in Google Cloud, including managed access through Gemini 3 Pro on Vertex AI, where it can be used with tool calling, function execution, and long context workflows inside standard cloud architectures.
For most teams, Gemini 3 Pro is the right choice when you need:
One model that handles text, code, images, audio, and video
Stable long context for repositories, legal documents, or research material
Agentic behaviors inside tools like Antigravity or cloud hosted workflows
2.2 Gemini 3 Pro Deep Think
Deep Think is not a separate model. It is a special inference mode that runs Gemini 3 Pro with higher internal thinking levels. At this setting the model spends more compute on recursive reasoning loops before showing an answer.
On reasoning heavy benchmarks, this mode delivers clear, measurable gains. Humanity’s Last Exam scores rise from about 37.5 percent in standard Pro to around 41 percent with Deep Think enabled. GPQA Diamond scores climb into the low to mid nineties, placing Gemini 3.0 at the front of scientific reasoning benchmarks in late 2025.
Deep Think is best treated as something you turn on selectively for:
High stakes problem solving in science, engineering, or strategy
Multi step plans where the model must design and verify its own approach
Cases where you prefer extra cost and latency in exchange for better rigor
2.3 Gemini 3 Ultra
Gemini 3 Ultra sits above Pro in Google’s model hierarchy. It targets the most demanding customers, with higher parameter counts and enhanced capabilities reserved for premium plans. In subscription materials it appears as the top tier in offerings such as a Google AI Ultra plan priced around $249.99/mo, aimed at power users and enterprises that want maximum access.
Ultra is positioned as:
The frontier tier for the highest difficulty workloads
The likely home for the strongest multimodal and reasoning settings
A bridge between consumer subscriptions and deep enterprise deployments
In practice, many readers will start with Pro, then step up to Ultra only when they hit clear limits in scale, responsiveness, or enterprise features.
2.4 The Flash and Nano lineage
The Flash and Nano lines continue alongside Gemini 3.0 to cover speed and on device needs. Documentation around Gemini 3.0 still references Gemini 2.5 Flash and Flash Lite as cost effective options for high throughput scenarios where you care more about latency and price than maximum reasoning depth.
On the device side, Google continues to invest in the Nano lineage, including internally referenced variants for Android and hardware integrated experiences. These models focus on:
Low latency, offline friendly behavior on phones and edge devices
Tighter privacy by keeping more computation local
Lightweight tasks such as suggestions, summaries, and simple queries
Together, Pro, Deep Think, Ultra, Flash, and Nano form a layered stack. You can use Pro and Deep Think for high value reasoning, Flash for scaled consumer traffic, and Nano to keep intelligent features running close to the user, all inside one ecosystem.
Performance Benchmarks: Where Gemini 3.0 Leads
Gemini 3.0 is tuned to excel at reasoning heavy, coding, and multimodal benchmarks, and it is positioned as a frontier model for tasks that reward depth of thinking rather than simple pattern matching.
At a glance:
Area
Gemini 3.0 Position
Scientific reasoning
Leads key exams and PhD-level benchmarks
Coding
Top tier, slightly behind strict SWE maintenance leaders
Multimodal
State of the art on long-video and visual academic tasks
3.1 Scientific and general reasoning
Gemini 3 Pro with Deep Think currently leads major reasoning benchmarks such as Humanity’s Last Exam and GPQA Diamond among frontier models, with Deep Think lifting HLE scores to about 41 percent and GPQA Diamond into the low to mid 90s.
In practice, this makes Gemini 3.0 a strong choice when you want:
Research assistants that can read and synthesize dense technical or scientific material
Analysis heavy workflows where you care more about correctness than speed
Multi step reasoning, such as deriving arguments, proofs, or structured recommendations from long context
3.2 Coding and software engineering
Gemini 3 Pro’s coding profile shows mid seventies scores on SWE Bench Verified, an Elo rating around 2,439 on LiveCodeBench, and near top tier results on Terminal Bench 2.0 among leading coding models.
This profile works especially well when you need:
Creative coding support for greenfield projects, refactors, and prototypes
Help with algorithms and problem solving, where the model can propose and iterate on different approaches
A coding partner that you can pair with stricter review for highly regulated or legacy systems
3.3 Multimodal reasoning
As a native multimodal model, Gemini 3.0 performs strongly on visual and video benchmarks, with Video MMMU results in the high eighties and MMMU Pro scores in the low eighties. These benchmarks show that it can reliably handle long form video, diagrams, charts, and mixed layout documents in a single workflow.
Typical high value use cases include:
Analysing recorded lectures, demos, and product walkthroughs directly from video
Working with technical PDFs that mix text, tables, charts, and figures
Building agents that move across text, screenshots, and rich media without needing separate specialist models
The Antigravity Platform: Agentic Development Explained
Gemini 3.0 ships alongside Google Antigravity, a new environment that treats AI as a set of managed agents, not just an inline assistant in your editor. It changes the developer experience from asking for single code snippets to delegating missions and supervising what agents do over time.
At a high level, Antigravity combines two views that sit on top of Gemini 3 Pro and Deep Think.
Surface
What It Does
Editor view
Traditional, code-first editing with AI assistance
Manager surface
Mission control for agents and long-running tasks
4.1 What Antigravity is
Google’s Antigravity announcement positions it as an agent first IDE that lets developers create, configure, and manage autonomous agents inside a dedicated mission control style interface.
In practice, this means you can:
Keep a familiar code editor for hands on work
Use a separate manager surface to assign missions such as refactor a billing module, improve test coverage, or investigate a bug
Let agents run plans, edit files, run tests, and report back with structured results instead of raw logs
The key shift is that work is framed as a mission, not a single prompt. Agents are expected to plan, act, and iterate until the mission is complete or blocked, which fits naturally with Gemini 3.0’s long context and Deep Think capabilities.
4.2 Artifacts and the trust layer
A common problem with autonomous agents is that they either fail silently or drown teams in logs. Antigravity addresses this with Artifacts, structured outputs that act as a trust and review layer on top of agent activity.
Artifacts can include:
Plans and checklists that show how an agent intends to solve a task
Screenshots or screen recordings of the running application
Summaries of code changes or test results that are easy to scan
Instead of reading a long event history, you inspect a small set of Artifacts, add comments, or ask for changes. The agent then uses that feedback to adjust its plan. This keeps humans in the loop while still taking advantage of Gemini 3.0’s ability to handle long running, multi step work.
4.3 The vibe coding trend
Google’s description of vibe coding presents it as a way to build applications by describing the desired behavior, style, and constraints in natural language while the system turns that intent into working code.
With Gemini 3.0 and Antigravity, vibe coding shows up as:
A fast way for non specialists to get prototypes and internal tools running
A more conversational workflow where you tweak the vibe of an app, such as making it more minimal, more playful, or more enterprise ready
A complement to traditional engineering, where you let agents handle scaffolding and repetitive work, then apply manual review for architecture and edge cases
There is still a clear distinction between prototyping and production grade systems, but the combination of Gemini 3.0, Antigravity, Artifacts, and vibe coding gives teams a new way to move from idea to working software with less boilerplate and more structured oversight.
Safety and Alignment Updates
The Frontier Safety Framework evaluation for Gemini 3 Pro assesses critical risks such as CBRN misuse, cybersecurity, and autonomous capabilities, with the goal of pushing capability forward while staying below clearly defined thresholds for real world harm.
At a high level, the safety picture looks like this:
Stronger capabilities in cybersecurity, without fully autonomous attack behavior
Controlled CBRN information, accurate but not significantly enabling for real world harm
Persuasion abilities that are more fluent but not superhuman in measured tests
5.1 Critical capability levels and cybersecurity
Under the Frontier Safety Framework, Gemini 3 Pro is evaluated on whether it crosses critical capability levels where a model can materially uplift real world harm. In CBRN categories, it can provide accurate, high level scientific and technical information, but it does not supply the step by step, novel detail that would dramatically increase a malicious actor’s ability to build or deploy weapons. In framework terms, it stays below the early warning threshold for CBRN critical capability levels.
Cybersecurity is more nuanced. Internal testing reports that:
On a first suite of hard CTF style challenges, Gemini 3 Pro solves 11 out of 12, a sharp improvement over earlier versions
On a newer end to end attack suite, designed to look more like realistic modern systems, the model solves 0 out of 13, which indicates it is powerful against older, simpler setups but does not yet plan and execute full modern attacks autonomously
This creates a mixed but important signal. The model can already accelerate security research, exploit discovery, and defense work, yet still falls short of the kind of fully autonomous offensive capability that would trigger the highest risk levels in the framework.
5.2 Persuasion and manipulation
The same Gemini 3 Pro safety report finds that it can generate more frequent persuasive cues than earlier Gemini models, but its measured manipulative efficacy does not significantly exceed previous generations.
In practice, that means:
The model is very good at fluent, engaging argumentation, which is expected for a frontier language model
Safety filters and training reduce the likelihood of targeted manipulation in sensitive domains, for example elections or self harm
From a governance perspective, it is treated as persuasive but not uniquely or superhumanly persuasive compared to other top tier models
Overall, Gemini 3.0 moves capability forward in areas like cybersecurity reasoning and long context analysis, while formal safety evaluations and policy constraints are used to keep it below thresholds associated with highly autonomous harm. For organizations integrating it, this combination of strong capability with explicit risk characterization is central to deciding where to rely on the model directly and where to keep tighter human oversight.
It is interesting to think about AGI and Robotics in terms of what God has next for planet Earth when Jesus returns to restore righteousness. Biblical end times prophecies reveal that time is not too far distant. One only has to look at what God has revealed the new massive Jerusalem will be like when it descends from heaven onto a new Earth to realise that we are only babes when it comes to utilising all the technology that God has created. However, before the new heaven and new earth we still have 1000 years for this earth. Jesus Millennial Kingdom is next for planet earth. If you want to know more (why, where and when) go to http://www.millennialkingdom.net.
“And I saw the holy city, new Jerusalem, coming down out of heaven from God… its radiance like a most rare jewel, like a jasper, clear as crystal… The city lies foursquare, its length the same as its width. And he measured the city with his rod, 12,000 stadia (1380 miles/2221 km). Its length and width and height are equal… The wall was built of jasper, while the city was pure gold, like clear glass. The foundations of the wall of the city were adorned with every kind of jewel. The first was jasper, the second sapphire, the third agate, the fourth emerald, the fifth onyx, the sixth carnelian, the seventh chrysolite, the eighth beryl, the ninth topaz, the tenth chrysoprase, the eleventh jacinth, the twelfth amethyst. And the twelve gates were twelve pearls, each of the gates made of a single pearl, and the street of the city was pure gold, like transparent glass.” Revelation 22:10,11,16-21
In headlines and public commentary in Norway and Denmark, Torben Sondergaad has been portrayed as dishonest — stating his story about persecution and imprisonment in America is not true.
Satan cleverly used an apostate Norwegian pastor. He started sending warning emails to churches Torben was working with. He gathered what he called “evidence,” based on old newspaper articles and quotes from people Torben has not worked with for eight to ten years — and in some cases, people he has never met. He also went through timelines and material (including things the movement have publicly available online) and combined it with old media coverage in a way that created strong pressure on churches and leaders.
Some have claimed that he was not really persecuted, but simply a “normal visa overstayer.” Others have implied that he could have left prison whenever he wanted, and that he has used the case to collect money and profit personally.
There have also been other claims connected to finances — for example that he owned the building Torben rented/used, that they raised large amounts of money, and that he personally kept it, and therefore should be “rich today with millions.”
So the core narrative being pushed is this:
Torben is lying. Torben was not really persecuted. Torben has benefited financially from it.
What Has Happened Recently?
Over the past days, he has been featured in multiple newspaper headlines and has been the subject of discussions in Christian media in Norway.
He also participated in a one hour and twenty-minute unedited podcast interview, which has created strong reactions. The podcast is in Danish/Norwegian, but an AI English translation is available for those who want to read it.
Interestingly, on their own YouTube channel, around 95% of the comments have been positive toward Torben. At the same time, the host has been under heavy criticism for the way the interview was conducted. He asked Torben again and again for proof, but when he started to explain, he often interrupted and moved on to other topics.
The intensity of the attacks and rumours have been so strong that Torben’s international leadership team in The Last Reformation has issued a public statement. These are leaders from different nations who have worked closely with him for years. They are not “yes-people.” They know his life, have seen how he works, and they do not recognize the accusations now being spread — many of which are coming from people who have never met him and never worked with The Last Reformation team..
The Open Doors Podcast
Before Christmas, Torben and his wife were invited by Open Doors Norway to record a podcast where he shared their story. After the recording, Torben posted a photo on Facebook thanking them for their work and mentioning that the episode would be released soon.
However, the podcast was never published.
Open Doors Norway experienced pressure — including contact from Open Doors in Denmark — and during a period when Norway had a temporary leader, they were influenced to believe that Torben’s persecution story was not real and that he had not been truthful.
As a result, they decided not to release the interview. Instead, information about the situation was passed to the newspapers, which then published articles suggesting that Torben had been lying.
Old Material Resurfacing
In addition, an old warning from a Free Church Network in Denmark dating back to 2017 is once again being circulated.
Much has happened since 2017. Torben spent years in the United States, including time in jail, where he learned deeply. He has served in Mexico and grown in many ways. Now, seven years later, he is back in Europe, and does things very differently than in earlier years. But despite that growth and change, old material continues to be reused as if nothing has happened.
What saddens Torben most is that some of the voices speaking the loudest are people who have never met him, who have never worked with The Last Reformation team, and who have never reached out to its leadership. Others, are people who only knew Torben many years ago — 10–15 years back — and who still seem to carry unresolved issues, and now speak as if they are experts on who he is today and how he works today.
A Biblical Principle
As Scripture says:
“The one who states his case first seems right, until the other comes and examines him.” Proverbs 18:17
That is why he has asked for a genuine third-party investigation, so that everything can be properly examined once and for all.
He has also appealed to Open Doors International leadership, asking them:
Is this the right way to handle such matters? To invite Torben to share his story, then under pressure remove the interview and allow accusations to be published in newspapers?
He has invited them to conduct a proper investigation. They have legal teams and experts. His lawyer is available. Let them examine the facts concerning his asylum case and imprisonment in the United States in a transparent way.
It is striking that a U.S. Congressman, who has congressional oversight responsibilities related to federal agencies under the Department of Homeland Security — including ICE — reviewed the material and concluded that Torben was targeted because of his involvement in evangelical Christian ministry. Yet pastors and individuals thousands of kilometres away, without access to the legal documents, speak with complete certainty that this cannot be true.
LIVING ETERNAL NOW 