Briefings:
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Nobody Asked for a Crab Chair- Hacker News
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The Test- Hacker News
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I'm Tired of Being on the Network- Hacker News
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Platform-Independent SIMD in Go- Hacker News
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Show HN: Agentic CUDA Kernel Optimizer
- Hacker News
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The Life of Data: From Creation to Deletion- ByteByteGo
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How to Customize a Model to Learn New Tricks- ByteByteGo
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How OpenAI Built GPT-Live- ByteByteGo
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How to Run a Big Model on Cheap Hardware?- ByteByteGo
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How LLMs Can Find a Needle in a Haystack- ByteByteGo
Briefings:
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Automating coherent long-form video generation- Google AI Blog
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GlucoFM: Foundation model for continuous glucose monitoring- Google AI Blog
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Two years of OpenAI Academy- OpenAI Blog
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Introducing MentalHealthBench- OpenAI Blog
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ChatGPT Ads expands to Southeast Asia and Taiwan- OpenAI Blog
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Introducing Gemini 3.8 Live with Live Avatar- Google DeepMind Blog
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Advancing Private AI Compute with secure, server-side memory
- Google DeepMind Blog
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Gemini 3.8 text-to-speech says hello- Google DeepMind Blog
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Introducing WeatherNext 3, our most advanced and accurate global weather AI model- Google DeepMind Blog
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Proactive cyber defense for governments and enterprises- Google DeepMind Blog
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Introducing Gemini 3.8 Flash and 3.8 Flash Cyber- Google DeepMind Blog
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Introducing agentic video understanding with Gemini- Google DeepMind Blog
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Gemini Omni 1.1 Flash lets you build with more control- Google DeepMind Blog
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Piloting the world's first double-blind AI evaluations
- Google DeepMind Blog
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Intelligent transcription with Gemini 3.5 Transcribe- Google DeepMind Blog
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RAG Isn't an Agent — I Built the Layer Between Retrieval and Action- Towards Data Science
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Jev vs. LLMs: When AI moves from Generation to Decision-making- Towards Data Science
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How to Maximize Your Coding Agent Subscriptions- Towards Data Science
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Beyond RAGs: Building Actually Truthful AI Harnesses- Towards Data Science
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Towards Spec-Driven Test Automation: Part 1- Towards Data Science
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When the Correct Answer Is Nothing, What Does Your Pipeline Return?- Towards Data Science
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I Trained a Tiny Network to Compress Data. It Drew a Pentagon.- Towards Data Science
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From Words to Vectors: What Happens in Between?- Towards Data Science
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How GRPO Trains Small Language Models with Verifiable Rewards- Towards Data Science
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How to Make Your First World Model from Scratch- Towards Data Science
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The Pentagon wants $30 million to build an AI-powered lie detector- MIT Technology Review AI
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Don’t be fooled by this summer of AI hype- MIT Technology Review AI
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The US spent billions on border surveillance. Why can’t it catch people before they die?- MIT Technology Review AI
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4 ways to address the failures we found along the US border’s “virtual wall”- MIT Technology Review AI
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How we made the first comprehensive map of deaths along the US border’s “virtual wall”- MIT Technology Review AI
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She died at the San Diego border. A surveillance camera was in plain sight- MIT Technology Review AI
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Could AI really kill us all? Your questions, answered.- MIT Technology Review AI
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Building the materials foundation for AI- MIT Technology Review AI
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Roundtables: Could AI really kill us all?- MIT Technology Review AI
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What’s at stake in AI’s trillion-dollar gamble- MIT Technology Review AI