We're used to thinking of open-source models as an unadulterated good. But in the case of AI, they can actually pose additional dangers, as @ReidHoffman and I got into at #CGI2026. I appreciated this nuanced discussion.

What jobs are safe from AI? blog.andrewyang.com/p/what-j…

If somebody whacks you in the face with a crowbar, are you going to put the crowbar in jail, or sue the crowbar? If an "AI agent" breaks into your computer, who are you going to charge or sue? The "AI agent" or the person running it? This is the gap in the current discourse. OpenAI in particular is in egregious violation and they should face consequences.

We’ve just released the preview version of our latest paper: Infinite-Parameter LLMs — Generating and Adapting Weights from Live Data. In it, we demonstrate that large language models can learn up to 1,000x faster through Bayesian Self-learning transformers (BAST) than SOTA training algorithms engineered by human researchers. This breakthrough marks a critical shift in AI research, from cost-intensive, static-weight AI to energy-efficient, dynamic-weight AI. For a decade, building more advanced models has been achieved by training bigger ones on more data. This approach is now hitting a ceiling with the supply of pretraining text projected to run out in the next two to five years. Meanwhile, the fast adoption of AI agents is producing an unprecedented amount of continuously-growing data that models can learn from. None of it is captured, locked in individual sessions and lost as soon as the agent completes the task. Bringing self-learning AI agents to users captures the value of that data. We validated that BAST LLMs overcome the fundamental limitations of memory-based learning, such as Retrieval-Augmented Generation (RAG), in both cost and performance, across long-context conversations. Without underlying architectural innovation like BAST, RAG, larger context windows, and agent scaffolding suffer a drop in performance and escalating input token cost due to the static weight of LLMs. This research underscores a fundamental premise of our work at Boltzbit to achieve General Learning Intelligence and democratise model ownership. Scaling up static-weight model size or layering on more workarounds cannot address the spiraling cost of training AI systems. The viable path is a new AI architecture that adapts its own weights. Preview version of the paper: arxiv.org/pdf/2609.18842

Former Anthropic researcher Jacob Coxon became a media superstar after going public with his AI fears. He insisted that he wasn’t working with any third party organizations. Familiar sources told us a different story: DEY., a PR firm representing many of the most prominent AI safetyists, was booking his interviews. One source, who had direct knowledge, even said DEY. preemptively booked Nate Soares, a prominent AI safety figure, for interviews that directly overlapped with Jacob going public. Jacob working with DEY. is notable for two reasons: first, as mentioned, he previously said he wasn’t working with third parties. Second, we are in the middle of a national conversation about the future of AI that is actively determining how we regulate the most powerful technology in the world, largely thanks to the panic stirred up by Jacob — and it’s in the public’s interest to know who, exactly, is behind it. Scoop from @huntryerson 👇

A year ago, Obama was pining for a social media Ministry of Truth: "We want diversity of opinion. We don't want diversity of facts...it will require some government regulatory constraints." ""There is a difference between these platforms letting all voices be heard, versus a business model that elevates the most hateful voices." “And I that I think is going to be a big challenge for all of us that we're going to have to undertake." They want their political opposition censored with government power. But they now cry for their political allies in legacy media.

EXCLUSIVE: Anthropic Caught Staging Cyber False Flags To Create An AI Monopoly! PLUS, Mike Adams Makes The Case For AI Corporations To Be Held Accountable For The Actions Of AI Models They Create & Prompt!

*First* place Germany literally arrests people for social media posts. What a joke. cbsnews.com/news/germany-onl…