And if you want even more AlphaGo + AI for Science content, there’s a recent episode of the @GoogleDeepMind Podcast with the awesome @FryRsquared and I discussing the Alpha series + AGI amongst many other things!
GENERATIVE AI
-
Author plans to update AI recommendations list
By
–
btw it took ~5 min to set up this demo, most of which was waiting for Gemini to generate a few Ghibli image of me, while having ChatGPT write a prompt based on what it knows about me (I’ve fed a lot of my granola transcriptions into it) https://t.co/7n2KHtZCYC
— Yohei (@yoheinakajima) 10 mars 2026btw it took ~5 min to set up this demo, most of which was waiting for Gemini to generate a few Ghibli image of me, while having ChatGPT write a prompt based on what it knows about me (I’ve fed a lot of my granola transcriptions into it)
-

Karpathy’s AutoResearch Enables AI Self-Improvement Loop
By
–
You can now give an AI a GPU and let it improve its own model overnight. This repo turns LLM research into an automated search loop. @karpathy just open-sourced a system that lets AI iterate on its own training code. Karpathy’s AutoResearch turns LLM improvement into an
-
Prompting evolves from questioning into product design discipline
By
–
Prompting is also changing. It’s no longer just “asking AI questions.” It’s becoming product design. You describe what you want.
The UI appears.
The visuals appear.
The workflow appears. -
Portfolio Strategy: Specialized Models Beat One-Size-Fits-All
By
–
The winning strategy is not one model to rule them all. It’s a portfolio: • reasoning models
• fast models
• research models
• coding agents
• multimodal systems
A model for every job. -
Ecosystems matter more than individual AI models
By
–
Most people are still thinking in terms of “which model is best?” That’s yesterday’s question. The new question is: Which ecosystem helps people move from idea → execution fastest?
-
AI Competitive Advantage: Workflow, Interface, Infrastructure Matter Most
By
–
Not just the model. The workflow.
The interface.
The infrastructure.
That’s where the real moat is being bui -

The Real AI War: Who Controls the Entire Stack
By
–
Everyone is arguing about ChatGPT vs Claude.
— Dr. Debashis Dutta (@debashis_dutta) 10 mars 2026
That’s not the real battle.
The real AI war is about who owns the entire stack. pic.twitter.com/Ngt3rscobsEveryone is arguing about ChatGPT vs Claude. That’s not the real battle. The real AI war is about who owns the entire stack.
-
Pentagon pressures Anthropic to remove AI safety guardrails
By
–
The standoff between the Pentagon and Anthropic shows where AI is heading.
— Nina Schick (@NinaDSchick) 10 mars 2026
The U.S. government is reportedly pressuring the lab to remove safety guardrails for military use and may even invoke the Defense Production Act to force access to frontier AI systems.
This is what it… pic.twitter.com/6snf5h3wW3The standoff between the Pentagon and Anthropic shows where AI is heading. The U.S. government is reportedly pressuring the lab to remove safety guardrails for military use and may even invoke the Defense Production Act to force access to frontier AI systems. This is what it
-

Meta partners with NVIDIA for 1GW compute infrastructure and AI systems
By
–
Excited to partner with NVIDIA. bringing up 1GW or more of compute starting with Vera Rubin, co-designing systems and architectures together, and more. NVIDIA has also made a significant investment in @thinkymachines Thinking Machines (@thinkymachines) We are partnering with @nvidia to power our frontier model training and platforms delivering customizable AI. thinkingmachines.ai/news/nvi… — https://nitter.net/thinkymachines/status/2031356627916603876#m
→ View original post on X — @soumithchintala, 2026-03-10 13:51 UTC