Not betting on one model but orchestrating many. This is how AI coding actually scales.

A great read for the day

Used WanAI from @alibaba_cloud to create a New Year video. Easy to use and surprisingly fun! #WanAVideo Kick off 2026 with your first AI-generated video. try now👉 https://t.co/vBeWNIYFB3

claude for sure

This paper from Harvard and MIT quietly answers the most important AI question nobody benchmarks properly: Can LLMs actually discover science, or are they just good at talking about it? The paper is called “Evaluating Large Language Models in Scientific Discovery”, and instead

This is literally my new workflow now: Real-time search → Grok 4.1 Fast Planning → Grok 4.1 Thinking Frontend Coding → Gemini 3 Pro Backend Coding → Claude Code (Opus/Sonnet 4.5) Write Tests → Gemini 3 Pro Run Tests → GPT-5.1 Codex Debug → Claude Opus 4.5 Bookmark this.

Amusing: Google does not allow its devs to use its newly launched IDE, Antigravity, for development. They can only use an internal version called Jetski: also built by the Antigravity team, with Google-speicfic features (eg monorepo support, docs search etc) Using Antigravity

Benedict Evans' new presentation just dropped: "AI eats the world" 90 slides on macro and strategic trends in tech. His biannual overview is always worth the time: https://t.co/GV4ga5Wo1S

in the age of ai, the question everyone's asking is "will i be replaced?" the real question is: do you know yourself well enough to become irreplaceable? everyone's getting access to the same models. same tools. with growing capabilities. the playing field is leveling fast.

My AI investment thesis is that every AI application startup is likely to be crushed by rapid expansion of the foundational model providers. App functionality will be added to the foundational models' offerings, because the big players aren't slow incumbents (it is wrong to

AI’s next frontier is Spatial Intelligence, a technology that will turn seeing into reasoning, perception into action, and imagination into creation. But what is it? Why does it matter? How do we build it? And how can we use it? Today, I want to share with you my thoughts on

🚨 RIP “Prompt Engineering.” The GAIR team just dropped Context Engineering 2.0 — and it completely reframes how we think about human–AI interaction. Forget prompts. Forget “few-shot.” Context is the real interface. Here’s the core idea: “A person is the sum of their

Turing Award laureate and Alphabet Chairman JohnHennessy warns that AI hardware is hitting a wall: “Even with massive parallelism, actual performance will depend on both TFLOPS and bandwidth.” As FP16 compute and HBM bandwidth rise sharply, energy efficiency gains are slowing —

OpenAI estimates that among its 800 million active ChatGPT users, approximately 0.07% (about 560,000 people) show possible signs of mental health emergencies related to psychosis or mania, and about 0.15% (roughly 1.2 million people) have conversations containing explicit

That’s crazy. Meta need to hire him back with $100m package

Several of my team members + myself are impacted by this layoff today. Welcome to connect :)

hunyuan is on 🔥

This tool lets you scrape any documentation page and converts it into a Claude skill you can add to web, app, and Claude Code (Somebody should make a hosted version of this!) Lets see how links in the main post go on the new X… https://t.co/zaT2g5j5qE