Learn more about caching in the Gemini API: https://
ai.google.dev/gemini-api/doc
s/caching
… and big shoutout to the folks across our infra, serving, API, and product teams for landing this!
LLMS
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Google Gemini API Launches Caching Feature for Developers
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Leaving out ‘solo female’ makes problem too hard for o3
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Yeah — I picked this as the most impressive of the variations I tried that it gets right If you leave out “solo female” the problem seems to be too hard for o3 — I think part of the trick here is there are fewer female artists on music charts than one would expect
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Challenge: o3 identifies street from Lorde’s ‘Hammer’ lyrics via SHA1 hashes
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o3 names street x mentioned in the lyrics of song y by solo female artist z, given the last four chars of the SHA1 hashes of x, y, and z. Note the answer for y — Lorde’s “Hammer” — was just released yesterday.
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Scale Maximalism: Why Bigger AI Models Drive Real Progress
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i've basically come full circle and now think that the scale maximalism is the right way to think about AI until we scale the parameter count of our models, we will only see incremental improvement everything else is just cope while we wait for better GPUs & bigger datacenters
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Brain on ChatGPT: Cognitive Debt from AI Assistants
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Your Brain on ChatGPT — Accumulation of Cognitive Debt when Using an AI Assistant: https://
media.mit.edu/publications/y
our-brain-on-chatgpt/
… by @MIT @medialab researchers -
Production-Ready AI Agents: A Practical Guide with LangGraph
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Agents Towards Production Nir Diamant just released a practical guide for building production-ready AI agents. This open-source playbook features tutorials using LangGraph for workflows and LangSmith for observability, plus essential production features. Check it out
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AutoAgent: Zero-Code LLM Agent Framework with Natural Language
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Build and deploy LLM agents just using natural language! AutoAgent is the Fully-Automated & Zero-Code LLM Agent Framework that let's you create and deploy LLM agents using just natural language. 100% Open Source
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Jensen Huang at VivaTech 2025: AI Now Begins to Reason
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🇫🇷 Jensen Huang Traduit au Viva tech Paris 2025
— VISION IA (@vision_ia) 21 juin 2025
L’intelligence artificielle a commencé par apprendre à voir. Puis à créer. Aujourd’hui, elle commence à raisonner. pic.twitter.com/Y1Cx1GnPEfJensen Huang Traduit au Viva tech Paris 2025 L’intelligence artificielle a commencé par apprendre à voir. Puis à créer. Aujourd’hui, elle commence à raisonner.
