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How to graph-max with Codex and 5.6 Sol: 1. Draw a graph (literally in any tool, even on paper) 2. Send it to Codex and say "write a code mode script that implements this workflow, run it with <your inputs>" There's no step 3, it just works. Seriously it's that simple. pic.twitter.com/TBHmsTOFEI — Alex Kotliarskyi 🇺🇦
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter. AI will transform every industry, power every company, and be built by every country. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.… pic.twitter.com/t02bi51N4C — Jensen Huang
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redditAt this point as a software engineer I'm basically a condom for Claude — Ariel
From a friend who joined a fast-growth, later-stage startup: "I was wondering why no one is doing PRDs here. Then I realized that the Head of Product and most PMs are 25-year-olds who don't have the attention span to *read* even a 1-page doc. You lose them after 3 bullet… — Gergely Orosz
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googleAndrew Ng just dropped 8-page PDF on 4 agentic steps "from Loops to Graphs from scartch" The twist: agent has amnesia without both: Loops let agents think - Graphs let agents remember here's 4 workflows, step by step: step 1 → reflection - agent writes, second prompt… pic.twitter.com/3VsskjWKLi — codila
new AI research dropped and it should worry everyone currently using AI agents... Google Deepmind researchers built 180 different agent team setups, gave every single one the same budget, and let them compete on the same tasks let me break down what they found, because it… pic.twitter.com/XtXNKOX1u9 — Machina
GitHub - petergyang/no-ai-slop: Removes 20+ patterns of AI slop from any piece of writing. Removes 20+ patterns of AI slop from any piece of writing. - petergyang/no-ai-slop
githubGigatoken, a groundbreaking tokenizer, boasts speeds of 8.27 GB/s, positioning it as an industry frontrunner. Its design leverages multithreading in Rust, enabling it to outperform competitors like Hugging Face's offerings by an astounding factor. The evolution of tokenizers has been pivotal in natural language processing, impacting everything from machine translation to AI chatbots. Their roles e…