We desperately need standardized benchmarks for agentic capabilities, instead of panicking over prompt engineering tricks. As long as we cannot measure objectively and transparently what these systems do
AI
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Arbitrary regulatory strikes harm the entire AI industry
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Even if you are in favor of AI regulation, you should recognize that opaque and arbitrary regulatory strikes are counterproductive for the entire industry.
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Max Agency podcast on building the best agents
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Listen to the full conversation on Max Agency, a podcast about how the best agents are being built. YouTube: https://
youtube.com/watch?v=RjpTrf
fSMjE
… Apple Podcasts: https://
podcasts.apple.com/us/podcast/the
-tool-design-tricks-behind-benchlings-ai-agents/id1891551672?i=1000771169985
… Spotify: https://
open.spotify.com/episode/2bFEj2
W290bk2JW1zC6wyp
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The biggest obstacles in building scientific agents according to nlarusstone
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In the latest Max Agency, @hwchase17 asked @benchling Head of AI @nlarusstone about the biggest blockers in building agents for scientific work. pic.twitter.com/XKS6Nnj5mv
— LangChain (@LangChain) 15 juin 2026In the latest Max Agency, @hwchase17 asked @benchling's Head of AI @nlarusstone what were the biggest obstacles in building agents for scientific work.
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Train LLM from scratch and AI Engineering book resources
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Train LLM from scratch: https://
github.com/FareedKhan-dev
/train-llm-from-scratch
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AI Engineering book: https://
dailydoseofds.github.io/ai-engg-book/ -
Build a GPT-style transformer from scratch without high-level libraries
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Train your own LLM from scratch. This repo builds a GPT-style transformer from the ground up, without using any high-level libraries. You see exactly how attention, multi-head attention, the feed-forward block, embeddings, residuals, and layer norm fit together. And it doesn't
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Google to add controls for personal AI
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Google is working on new controls for personal intelligence, allowing users to manage what Gemini learns about them. Managed intelligence
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LangChain uses LLM gateway to control coding agent expenses
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A developer using coding agents can accumulate thousands of dollars in weekly expenses before anyone notices. It happened at LangChain, so we built a solution. How we use the LLM gateway internally
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AI solves 7/10 hard math problems but still criticized
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Weird headline – I am not sure solving 7 out of 10 novel very hard problems meant AI "did not live up to the task," when 15 months ago LLMs couldn't do math. But the actual study is interesting and illuminates flaws & successes of AIs in math. https://
1stproof.org/assets/docs/re
port.pdf
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New video: analysis of political conflict and Fable 5 blockade
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NEW VIDEO in the LAB! Today, analyzing the political conflict that led to the first government blockade of a frontier model, in this case, Fable 5. Reasons, consequences, and my opinion. All in the video. Link below