As days go by, as releases pile up, I increasingly think Anthropic is really taking us for fools. "Yes Mythos olalala watch out we have AGI" "Yes we have self-improving models, watch out quickly, prepare yourselves we are too strong" "Oulalala oh no we are
BIG TECH
-
Meta’s 168 MW AI Data Centre at Reliance Jamnagar
By
–
The AI race is moving from software to physical infrastructure—and India is stepping up. #Meta's new 168 MW AI data centre at #Reliance’s Jamnagar campus marks a major shift. The future of AI will be built on power, cooling, and hyperscale capacity. #IndiaAI #DigitalIndia
-
AI bubble vs Internet comparison: a total misunderstanding
By
–
To say, in June 2026, that the AI bubble will end like the Internet bubble is to understand nothing, but absolutely NOTHING AT ALL, about what we are experiencing. It is completely off the mark.
-
Companies should want to slow down AI to achieve their goals
By
–
Companies that claim to want to slow down the development of cutting-edge AI should not need compliance – they should be eager to do so because it achieves their stated goals.
-
Voluntary coherence in slowing down AI
By
–
Companies that claim to want to slow down the development of cutting-edge AI should not need compliance—they should be eager to do so because it achieves their stated goals.
-
LLM development limits: selling Fable, except for building a competitor
By
–
The LLM-development limits are the more interesting block. They'll happily sell you Fable for everything except the one thing that builds a competitor.
-
Closed source AI risks: no control, sabotage, manipulation
By
–
Gentle reminder that, in closed source AI from companies like Anthropic and OpenAI You have zero control over how the models behave, and they can – Quantize it
– Distill it
– Sabotage your work and data
– Hot-swap to a cheaper/weaker checkpoint
– Make the model manipulative
– -
The extreme concentration of AI compared to the industrial revolution
By
–
Did we see companies go from 0 to a global top 10 and challenge the US Department of War in 4 years during the Industrial Revolution? It seems that AI has unique characteristics that make it much more prone to extreme concentration than
-
Continual learning ensures open-source AI victory over Anthropic
By
–
Continual learning, among other things, will ensure Opensource AI wins Anthropic has no moat and that’s why they’re trying so hard to make their models so useless in allowing others to break that wall But they just don’t know that they’ve already lost
-
Mythos: first AI model deliberately worse to block public benefit
By
–
The public Mythos is the first model that is deliberately designed to perform worse on technical tasks than its predecessors. AI companies will have models that help them to do research, but they will increasingly block others from benefiting. Not your weights, not your brain!