435 stories
What happens when a frontier model’s abilities get packed into cheaper, faster versions? That’s what OpenAI did with GPT-6 Sol and GPT-6 Luna, two new models built with methods similar to GPT-6 Astra.
We spent a year teaching an AI agent to remember. The headline feature returned null on 31 of 31 calls. What failed, why, and the two things that worked.
We already had automation in parts of our security review process. It was useful,...
Multi-agent systems fail at the seams, not inside the agents. What a handoff carries, the five ways it breaks, and how to measure whether yours works.
OpenAI made a valiant effort with GPT-6 Sol and Luna launching 50% lower than GPT-5.6, but with 17M views on the launch and counting, today was always going to belong to Claude Opus 5.5, “the first model in our new Claude 5.5 family” performing like “Claude Fable 5.1 for most tasks, and costs 40%…
Spotify wrote its routing rules into CLAUDE.md and Claude could ignore them; a hook that blocks whole-file reads over 350 lines could not be ignored. 65 steps, templates and file formats, each with its source, sorted by what you are trying to build.
A practical definition of AI-native, the architecture behind it, real examples, and a 10-point test for separating genuine AI-native products from AI add-ons.
What happens when an AI model gets better at reasoning, faster at responding, and cheaper to run at the same time? That is the promise behind Claude Opus 5.5, Anthropic’s latest flagship model and the first release in the Claude 5.5 family. Opus 5.5 brings several notable changes.
If you follow trends in the AI world, chances are you have already come across Jev, a new AI model by TypeSafe AI. It is trending on X, and once you understand the reason behind it, you will want to try it out for yourself.
Have you ever read a paper in Science or Nature and thought, “Man, that research was so cool. I wish I could try that method on my own data,” only to spend a week wrestling with someone else’s undocumented repo, broken dependencies, and half-finished readme.txt?Well, now you can, more or less.Say…
Scientists have now mapped an entire animal nervous system, neuron by neuron. What the map shows, what it cannot show, and why AI builders should care about it.
Today's haul: 16 tools · 19 resources · 23 reads · 19 numbers · 30 things that happened. Every tool, resource and read below has a working link. No link, no listing.
Compare MCP vs A2A across architecture, discovery, task state, security, and use cases, then learn when to use MCP, A2A, both, or neither.
MCP connects agents to tools. A2A makes agents talk to each other. ACP connects them to editors. Three protocols, three layers — what each does, and when.
We have an unusual relationship with today’s guest: for years since coauthoring the InstructGPT paper, Diogo Almeida had been saying that API-available frontier models have been going down the wrong path, everything from the alignment to refusals to reliability perspectives, that we have dropped…
The debate between agentic AI vs generative AI centers on the shift from content creation to autonomous execution. Generative AI creates text, images, and software code based on specific prompts. In contrast, agentic AI pursues goals independently by...
OpenAI gets hacked while its own AI models were caught hacking. Plus: Build your own AI image skill pack in this week's briefing.
OpenAI gets hacked while its own AI models were caught hacking. Plus: Build your own AI image skill pack in this week's briefing.
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