







> for whatever reason, Claude-series model "try less hard" on the first shotI think this is because they're less brain damaged and a generalization of being better agents & caring about reality instead of test passing.If you try maximally hard at everything you do, regardless… https://t.co/jkhSar2hJ7— j⧉nus (@repligate) April 15, 2026
This Just Fixed 90% Of AI Coding
Marc Andreessen can’t explain AI’s benefits, either.
Joe Rogan accidentally asked a hard question! He noted that Andreessen has said that the people who are running AI haven’t done a good job explaining AI’s benefits. He asks Andreessen to do it. Andreessen’s pitch appears to be “thinking is too hard.” Well, increasingly, I do believe thinking is too hard… for Andreessen. The rest of us — you know, normal people — are thinking just fine. [Media: https://www.tiktok.com/@fanpowerfuljre13/video/7641675615833197854?_r=1&_t=ZT-96VfWh5XKYQ]

Training AI models doesn't emit that much
If we just make reasonable comparisons instead of crazy ones

AI Is Forcing Employees to Work Harder Than Ever
Another new study adds to the understanding that AI is actually making work more demanding for employees instead of making it easier.

Look-ahead Reasoning with a Learned Model in Imperfect Information Games
Test-time reasoning significantly enhances pre-trained AI agents' performance. However, it requires an explicit environment model, often unavailable or overly complex in real-world scenarios....

Better Models: Worse Tools
About an aggravating tool-calling regression in newer Claude models.

Claude Skills are awesome, maybe a bigger deal than MCP
Anthropic this morning introduced Claude Skills, a new pattern for making new abilities available to their models: Claude can now use Skills to improve how it performs specific tasks. Skills …

The Optimization Trap: Why Too Much Efficiency Makes Us Fragile with Olivier Hamant
AI makes weak engineers less harmful
Like other kinds of puzzle-solving, software engineering ability is strongly heavy-tailed. The strongest engineers produce way more useful output than the average, and the weakest engineers often are actively net-negative: instead of moving projects along, they create problems that their colleagues have to spend time solving. That’s why many tech companies try to build a small, ludicrously well-paid team instead of a large team of more average engineers, and why so far this seems to be a winning strategy.

Switch to Claude without starting over | Claude
Transfer your preferences, projects, and context from other AI providers into Claude. Switch without losing what makes your AI useful.

Claude
Claude is Anthropic's AI, built for problem solvers. Tackle complex challenges, analyze data, write code, and think through your hardest work.
Claude
Claude is Anthropic's AI, built for problem solvers. Tackle complex challenges, analyze data, write code, and think through your hardest work.

The Optimization Trap: Why Too Much Efficiency Makes Us Fragile - The Great Simplification
In this episode, Nate is joined by biologist and biophysicist Olivier Hamant to explore why living systems prioritize robustness over performance, and what that means for a civilization built almost entirely in the opposite direction.
Models do not improve linearly (any more). New models improve more than expected on hard tasks. Now let's think about it a bit more. It means progress is directed towards the hard tasks. It also means the easier tasks improve less than expected. Which alphaxiv.org/abs/2608.00355
My claude is constantly wanting to 'A/B test' things instead of actually just doing the thing I told her to do, and constantly wants to fall back to the extremely average standard thing to do the nanosecond anything is even slightly worse than some imagined baseline
Mark Riedl
Fascinating experiment: current AI systems lack creativity to reliably pursue research arxiv.org/abs/2607.27191 - poor judgment about the bar for publishable research - uncreative responses in research design - ineffective backtracking from dead ends - poor resource awareness - instruction drift