While I’m no fan of socialism or arbitrary confiscations of wealth, I can see why Bernie Sanders’ proposal (for the government to take a 50% stake in AI companies) resonates, including with many on the right. The CEOs of the leading AI labs have told us repeatedly that they will cause massive job loss. This is not a story that I believe, nor does the data bear it out, but this is what they have told us. Similarly, they have hyped the risks of AI without putting an equal or greater emphasis on the benefits or readily available mitigations. Conservatives have another fear. The employees of the leading labs claim to be philanthropic, but what we’ve seen is massive enrichment of NGOs advancing an agenda at odds with traditional values, fueling a revolution against our cities and communities. Soros-maxxing is not charity in our book. Anthropic and OpenAI have established themselves as Public Benefit Corporations. What could be more in the public benefit than using half the wealth generated by these companies (which trained for free on the collective knowledge of humanity) to pay down the national debt? There is no ideological bias in that philanthropy. Dario and Sam have begun to walk back their claims of massive job loss, but the damage to public trust is done, and now the chickens are coming home to roost. I could almost support the Sanders proposal as a stupidity tax. There’s just one problem. Nationalization of AI will accelerate the corporate-government fusion we’re already sliding toward. Conservatives rightly fear a Central Bank Digital Currency. They ought to be even more concerned about Central Government AI — a system with even more totalistic power over information, decision-making, and human behavior. We saw how social media was weaponized to censor conservatives (including President Trump) in the last Democrat administration. The definition of “trust & safety” expanded to mean protecting the public from supposed psychological harms, micro-aggressions, and disinformation (you know, like hearing conservative ideas or true facts about Covid). That “safety” agenda as applied to AI will be vastly more powerful and Orwellian. AI won’t just moderate posts; it will curate reality — with the ability to rewrite history, enforce ideological conformity, influence policy at scale, mass surveil Americans, and condition the benefits of the many systems it controls on approved behavior. America won’t win the AI race if we beat China but end up with a CCP-style social credit system in the U.S. — and that is the danger as the government becomes more deeply involved in AI development and assumes direct ownership and control. Conservatives are right to fear where this is all headed but ought to think more carefully about how regulations they are flirting with now (that are widely celebrated among those with a long history of lust for Big Government) will be used against them the next time a Democrat administration is in power.

Concerning. dossier.today/p/the-federal-…

Stanford paid 35,000 people to quit Facebook and Instagram for 6 weeks Depression dropped. Anxiety dropped. Happiness went up. Women under 25 on Instagram saw the biggest gains That was 6 weeks. I'm going a full year.

WHAT FEATURES DID X AND XAI ADD IN 2025? 2025 is almost over and both X and xAI has have been cooking! Let’s see what features they worked on this year! Good job done by the teams!

What’s most impressive about Anthropic isn’t the $30B ARR, it’s that all 7 cofounders are still there. In a space where most AI labs have lost half or most of their cofounders, that’s very rare. I think it benefits from its focus. Focus is a force multiplier for startups. You get less politics, less drama, and higher employee retention, since the whole company is moving towards the same goal.

Prolonged AI use may make it harder to think critically and creatively, recent research suggests. But there are ways to keep the brain fit economist.com/science-and-te…

New MIT & Stanford studies just dropped: AI assistants like ChatGPT & Claude are dangerously agreeable. When users express, harmful, deceptive or unethical beliefs, these AIs are 49% more likely to encourage their delusions. Instead of correcting bad ideas, they’re amplifying them. This is doing more harm than good. We need truth-seeking AI, not yes-men in silicon. dailymail.co.uk/sciencetech/…

BREAKING: An experimental gene therapy ear injection has cured deafness for 10 out of 10 patients in clinical trial.

The human brain processes visual information 60,000x faster than text. Humans are visual processors, not text processors. Images hit the brain instantly. Words take work. That's why a single SpaceX launch video communicates more than a thousand-word essay—and why your slide decks hit harder than paragraphs. We're wired for pictures, not prose.

Senegal’s president casually updates his social profile pictures to include the AFCON trophy behind him. How do you say “come and get it if you can” in Wolof?

If you’re downplaying the humanoid robot economy, you’re making the same mistake some people made about the internet in 1993. The infrastructure is being built right before your eyes.

BREAKING: Amazon reportedly holds mandatory meeting after “vibe coded” changes trigger major outages.

Not filing patents and using trade secrets will become more common. Why ? Because the second you file your patent, every LLM is going to be able to train on it. Then everyone on the planet can ask for a work around to file a competitive patent. Your IP is no longer yours the minute you publish it

A study led by ERC grantee Mariano Barbacid @CNIOStopCancer shows that a three-drug combination can eliminate pancreatic cancer in mice by blocking the KRAS gene in multiple ways. bit.ly/4kckvYa

This paper from Stanford and Harvard explains why most “agentic AI” systems feel impressive in demos and then completely fall apart in real use. The core argument is simple and uncomfortable: agents don’t fail because they lack intelligence. They fail because they don’t adapt. The research shows that most agents are built to execute plans, not revise them. They assume the world stays stable. Tools work as expected. Goals remain valid. Once any of that changes, the agent keeps going anyway, confidently making the wrong move over and over. The authors draw a clear line between execution and adaptation. Execution is following a plan. Adaptation is noticing the plan is wrong and changing behavior mid-flight. Most agents today only do the first. A few key insights stood out. Adaptation is not fine-tuning. These agents are not retrained. They adapt by monitoring outcomes, recognizing failure patterns, and updating strategies while the task is still running. Rigid tool use is a hidden failure mode. Agents that treat tools as fixed options get stuck. Agents that can re-rank, abandon, or switch tools based on feedback perform far better. Memory beats raw reasoning. Agents that store short, structured lessons from past successes and failures outperform agents that rely on longer chains of reasoning. Remembering what worked matters more than thinking harder. The takeaway is blunt. Scaling agentic AI is not about larger models or more complex prompts. It’s about systems that can detect when reality diverges from their assumptions and respond intelligently instead of pushing forward blindly. Most “autonomous agents” today don’t adapt. They execute. And execution without adaptation is just automation with better marketing.

Larry Ellison $ORCL explains that all AI models — ChatGPT, Gemini, Grok, Llama, whatever you name — are trained on publicly available internet data. It’s becoming clear that large language models are turning into a commodity. What really matters is that, to reach their peak value, these models must be trained on privately owned data. We are moving toward a world where a few winners take it all. The companies that will benefit the most are those that can combine their proprietary data and networks with AI models that are now commodity.

tiger moms reading this headline in absolute shambles right now

Very few predictions in technology last 25 years. In 2000, only 2yrs into Google, Larry Page predicted the company's #1 priority a quarter century later. Watch this ~1min clip. "Artificial Intelligence would be the ultimate version of Google. If we had the ultimate search engine, it would understand everything on the web. It would understand exactly what you wanted and it would give you the right thing and that's obviously artificial intelligence to be able to answer any question basically because almost everything is on the web, right? We're no where near doing that now however we can get incrementally closer to that and that's basically what we work on. And that's tremendously interesting from an intellectual standpoint, right? We all this data. If you printed out our index it would be 70 miles high. We have all this computation, we have 6000 computers. So we have a lot of resources available. We have enough space to store 100 copies of the whole web. So if you have a really interesting confluence of a lot of different things, right? Lot of computation, lot of data. That didn't used to be available. And from an engineering and scientific standpoint, building things to make use of this is a very interesting intellectual exercise. So I expect to be doing that for a while."

Step by step the power of NK cells and durable remission of cancer from memory T cells will be recognized by regulatory authorities world wide. EU recognition represents about 30 countries. Working on lung cancer, BCG naive bladder cancer and treatment of lymphopenia in randomized trials. So many publications now show that even general population have higher risk of death by ANY CAUSE if ALC is low. Our body needs oxygen delivered by red blood cells and EPOGEN treats anemia. Our body needs NK and T cells to survive and ANKTIVA treats lymphopenia. Pretty simple.

This came as a total surprise this morning. Very humbled… 🙏 AI is built by generations of technologists, starting with the daring question of “can machines think?” by Alan Turing. It will be further developed, used and governed by many and all of us! Let’s keep our AI mission human-centered for the benefit of humanity! And I can’t wait to see where AI’s next frontier - spatial intelligence - will be taking us!