Flux
Integrating Community Feedback into Foundation Strategy Part 2
Programmation Web

Integrating Community Feedback into Foundation Strategy Part 2

In April 2026, during the first weeks of my tenure as Executive Director, I conducted a listening tour with around 60 people from 18 countries spanning every part of the PHP ecosystem (see Integrating Community Feedback into Foundation Strategy: Part 1). Since then, I have continued to listen and connect with those of you in the community who have something to share. The themes that have surfaced are clear, consistent, and actionable. This document outlines how the PHP Foundation will respond…

The PHP Foundation
datasette-agent 0.2a0
IA Programmation

datasette-agent 0.2a0

Release: datasette-agent 0.2a0 Highlights from the release notes: Tools can now ask the user questions mid-execution. Tools that declare a context parameter receive a ToolContext object, and await context.ask_user(...) can ask a yes/no, multiple-choice (options=[...]) or free-text (free_text=True) question. While a question is unanswered the agent turn suspends: the question renders as a form in the chat UI and persists to the internal database, so suspended conversations survive a server…

Simon Willison's Weblog
DiffusionGemma
IA Programmation

DiffusionGemma

DiffusionGemma Last May Google briefly released an experimental Gemini Diffusion model. I tried the preview at the time and recorded it running at 857 tokens/second. It was an exciting model, but Google made no further announcements about it. That research has returned in the best possible way: as a new open weight (Apache 2 licensed) Gemma model, google/diffusiongemma-26B-A4B-it. NVIDIA are currently hosting the model for free on their NIM cloud API. I used that API to generate this pelican,…

Simon Willison's Weblog
Socket Partners with Replit to Block Malicious Packages in AI-Powered Development
Cybersécurité Programmation

Socket Partners with Replit to Block Malicious Packages in AI-Powered Development

The way software gets built is changing fast. Developers are no longer the only ones choosing dependencies. AI agents can now recommend, install, and wire open source packages into applications as part of the build process. Replit is at the center of that shift, giving millions of builders a faster path from idea to working software. As more of that work happens inside AI-powered workflows, dependency security has to move closer to the moment packages are selected and installed. Socket Firewall…

Socket
Quoting Jeremy Howard
IA Programmation

Quoting Jeremy Howard

Easy solution to slow down recursive AI self improvement: The lab with the top-ranked model must agree THEY must not use it for working on frontier AI But everyone else should have access to it. By definition, this means the frontier doesn't advance. It also has the critical benefit of avoiding a dangerous power imbalance. Anthropic has chosen the opposite of the safe path: they are allowing themselves, the current top lab, to use their top model for frontier AI research. They've said they'll…

Simon Willison's Weblog
How to use git rebase without breaking your team’s history
Programmation Web

How to use git rebase without breaking your team’s history

Video version: https://youtu.be/5n2VZS_YPv0 Let’s say you’re working on a feature branch called add-discount-codes. You’ve been at it for a couple of days, and you’ve got five commits with all of your work done. A team member mentions that git rebase can make sure you have the most recent changes from the “main” branch. So you […] The post How to use git rebase without breaking your team’s history appeared first on PHP Architect.

PHP Architect
The PM’s Playbook for Shipping AI Features That Actually Work in Production
IA

The PM’s Playbook for Shipping AI Features That Actually Work in Production

The demo to production Death Valley If you’ve worked on an AI feature, you know the feeling. You start building something that you are excited about, set launch timelines. The model spits out a perfect response, the prototype works magically, and everybody in the room is mentally calculating how big this product will be when […]

O'Reilly Radar — AI/ML
If Claude Fable stops helping you, you'll never know
IA Programmation

If Claude Fable stops helping you, you'll never know

If Claude Fable stops helping you, you'll never know Jonathon Ready highlights one of the more eyebrow-raising details from the 319 page system card for Fable 5 and Mythos 5. Here's a longer excerpt, highlights mine: In light of the ability of recent models to accelerate their own development, we’ve implemented new interventions that limit Claude’s effectiveness for requests targeting frontier LLM development (for example, on building pretraining pipelines, distributed training…

Simon Willison's Weblog