LLMS

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14 February 2026 8h17

OpenClaw creator on Opus vs Codex:

“Opus is like the coworker that is a little silly sometimes, but it's really funny and you keep him around.

Codex is like the weirdo in the corner that you don't want to talk to, but he's reliable and gets shit done.”

LMAO. Accurate. pic.twitter.com/ECtZFrDNeI
— Bilawal Sidhu (@bilawalsidhu) 14 février 2026

OpenClaw creator on Opus vs Codex: “Opus is like the coworker that is a little silly sometimes, but it's really funny and you keep him around. Codex is like the weirdo in the corner that you don't want to talk to, but he's reliable and gets shit done.” LMAO. Accurate.

14 February 2026

Predicting the evolution of world models

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13 February 2026 23h50

Feels like we’re at the gpt-2 stage for world models. vNext is gonna hit different.

Architecting AI Systems: Model Federation and Pixel-to-Policy Approaches

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13 February 2026 23h14

it continues to be the most compelling analogy for me — federation of task specific models and classical systems to just pixels in policy out

World Models vs Game Engines: Industry Disruption

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13 February 2026 23h04

World Models vs Game Engines — Who Wins?

Gaming stocks had a bloodbath after Google's Genie 3. Unity down. Roblox down. Nintendo down. Unity down 35%.

Unity's CEO posted a whole thread. Tim Sweeney weighed in. They're both saying the same thing — world models won't replace… pic.twitter.com/yNAGGO6Rel
— Bilawal Sidhu (@bilawalsidhu) 13 février 2026

World Models vs Game Engines — Who Wins? Gaming stocks had a bloodbath after Google's Genie 3. Unity down. Roblox down. Nintendo down. Unity down 35%. Unity's CEO posted a whole thread. Tim Sweeney weighed in. They're both saying the same thing — world models won't replace

→ View original post on X — @aibreakfast

Run OpenClaw Instantly with MyClaw.ai – No Mac Mini Needed

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@aibreakfast

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13 February 2026 21h29

Don't want to buy a Mac Mini just for OpenClaw? http://
MyClaw.ai lets you run OpenClaw with zero setup. -No dedicated machine.
-No hardware to buy.
-No configs to wrestle with. You spin up a fully optimized instance and start using it immediately.

→ View original post on X — @maximelabonne

Chinese LLMs Performance on SWE-bench: M2.5 Underperforms Opus

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@maximelabonne

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13 February 2026 21h03

Oof, SWE-rebench is brutal for recent Chinese releases M2.5 reported 80.2% on SWE-bench verified against 80.8% for Opus 4.6, but it seriously underperforms here Qwen3-Coder-Next looks good with 40% and only 80B A3B parameters