Laurence Devillers, you say everything and its opposite. For years, you have explained to us that LLMs were hollow, without personality, and incapable of reaching a level comparable to that of humans. Today, you are alarmed that Claude seems to develop https:// x.com/lau_devil/stat /lau_devil/status/2062767846397039062 …
AGENTS
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Gridworld with Deep Q-Network
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Gridworld with Deep Q-Network. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Building-Gridw
orld
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Nice workflow with Hermes Agent and Codex builder
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Nice. I love this workflow with Hermes Agent. ofc, Codex is the builder
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Stanford study: Two AI coding agents perform 50% worse than one alone
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A new Stanford study found that when two AI coding agents collaborate on a task, they perform nearly 50% worse than one agent working alone. The bottleneck isn't what you'd expect:
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Improving Codex Cli with multi-agent delegation and memory
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Let me make your Codex Cli experience better with – Multi-agent delegation
– Enhanced memory
– Better artifacts
– Children AGENTS.md contextualization
– Runtime metrics (optional) Run the command in the screenshot below to get them up and running Let me know how you like it -
Scobleizer built alignednews.com AI with Supabase and agent
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I built https://
alignednews.com/ai @blevlabs built me a database with Supabase then built me an agent. I took over from there -
Paper2Agent: AI Authors for Interactive Research Papers
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For 500 years, knowledge has existed in static papers. @StanfordHAI Faculty Affiliate @james_y_zou asked at the AI+Science conference: What if every paper had an AI author you could ask questions and apply methods directly? Here, he introduces Paper2Agent: pic.twitter.com/8ROL4gkMqU
— Stanford HAI (@StanfordHAI) 4 juin 2026For 500 years, knowledge has existed in static papers. @StanfordHAI Faculty Affiliate @james_y_zou asked at the AI+Science conference: What if every paper had an AI author you could ask questions and apply methods directly? Here, he introduces Paper2Agent:
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NVIDIA Cosmos 3 launch: download models on HuggingFace and GitHub
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Get started with Cosmos 3: Download Models on @huggingface → https://
huggingface.co/collections/nv
idia/cosmos3
… Customize Models on GitHub → https://
github.com/nvidia/Cosmos -
Cosmos 3: NVIDIA’s open world foundation model for physical AI
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Physical AI needs to understand the world before it can act in it.
— NVIDIA (@nvidia) 4 juin 2026
Introducing Cosmos 3, the open world foundation model and the first omni-model for physical AI.
It understands and generates across text, image, video, sound and action – thanks to a new breakthrough… https://t.co/K5RyHTY7gWPhysical AI needs to understand the world before it can act in it. Introducing Cosmos 3, the open world foundation model and the first omni-model for physical AI. It understands and generates across text, image, video, sound and action – thanks to a new breakthrough
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AI shaves 15% off dev docs build time via automated PR and checks
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/goal literally shaved off 15% from our dev docs build time – it created a PR and verified build times all whilst using chrome extensions to do spot checks on the rendered UI Worked for 5 hours in total and landed some great optimisations Not merged yet, but incredible to see