What shipped & dropped across AI labs, today.
Today
Thu · Aug 13 · 7 posts
Securing the frontier: How JetBrains evaluates and deploys Claude Fable 5
How JetBrains uses Claude Fable 5 and why they view safeguards and data retention as central to working with frontier models.
Gemini 3.7 Flash is now available in GitHub Copilot
Gemini 3.7 Flash, Google’s latest Flash model, is now rolling out in GitHub Copilot. From our early testing, the model has made improvements in web and app development and agentic…
Self-service data analytics in Slack: how Anthropic deploys Claude Tag for ad-hoc questions
How Anthropic's data team uses Claude Tag for self-service data analytics with the same governed definitions analysts use.
HeyGen x Google Cloud: Bringing Avatar IV to TPUs
HeyGen ported their 18B+ parameter Avatar IV video generation model to Google Cloud's Trillium (v6e) TPUs via torchax and XLA, utilizing FSDP and Ulysses sequence parallelism across an eight-chip mesh. To achieve a 1.86x speedup for real-time streaming, the engineering team pipelined exposed all-to-all collectives, aligned sparse attention block sizes to eliminate mask padding, and bypassed softmax serial dependencies using a precomputed Cauchy-Schwarz upper bound. These custom Pallas kernel and compiler optimizations were deployed only after passing rigorous two-tier quality gates to guarantee byte-identical or mathematically equivalent pixel outputs.
Cloud Agents Start 3x Faster with Builds
Agents do their best work when they start in a ready environment: repos cloned, dependencies installed, and your install script already run. This release introduces builds: ready-to-use copies of your development environment that Cursor prepares in the background. Agents boot into a ready environment instead of setting up from scratch each session. Builds are included with Cloud Agents at no additional cost. #Faster starts Cursor runs a new build of your environment regularly. When a build succeeds, it becomes the environment future agents start from. Cursor keeps warm copies ready so the next agent does not wait. Internally, our environments now boot 10x faster, with 3x faster time to first token. Use your install command for anything that can be prepared ahead of time. The start command still runs when you first prompt an agent and should focus on services that need to be fresh in the session. #More resilient agent runs When a bad commit or dependency update breaks your environment, agents keep using the last successful build. The broken build never becomes active, you are notified of the issue, and your agents keep working while you debug in the background. #Build history and debugging Each environment has a Builds tab in the Cloud Agents dashboard. You can inspect build status, logs, commit SHAs, and which build each agent run used. Agents can also inspect and manage builds using built-in tools. #Getting started New environments use Builds automatically. For an existing environment, open it in the Cloud Agents dashboard, go to the Builds tab, and click Enable Builds. Or click Run setup agent first to test the migration and review any proposed config changes. You can also trigger a Build manually, debug a failing Build with an agent, and control how stale Builds refresh with a configurable threshold. Learn more in our announcement post and docs.
Introducing Credentio: Open Source C++ Library for C2PA Content Credentials from Google
Credentio is a newly released, open-source C++ library from Google that allows developers to integrate high-performance, local-first validation of C2PA Content Credentials into their client and server applications. By processing assets entirely locally with a highly optimized memory footprint, the library delivers instant validation verdicts for multi-gigabyte media files without incurring cloud latency, bandwidth costs, or data privacy risks. The library currently features deep manifest parsing alongside configurable trust list integration, and is available now on Google Source with future plans to support full credential generation and embedding.
Claude Tag now reads even more of the room
Claude has more context to decide when to proactively collaborate in Slack (and when not to)
Yesterday
Wed · Aug 12 · 3 postsThe Claude in Chrome side panel is now Claude Cowork
The Claude in Chrome side panel is now a Claude Cowork session. Your conversations, skills, and connectors carry between the browser and the Claude apps.
Agent Plugins 1.0 in VS Code, Copilot CLI, and the Copilot app
You can now build a plugin once and use it across all compatible agent clients. We published Agent Plugins 1.0 on August 6 with AWS, Anysphere, Microsoft, OpenAI, and Vercel.…
Introducing Grok 4.6
Grok 4.6 builds on Grok 4.5 with a particular focus on long-running agents and more ambitious interactive and visual work.
Tuesday
Tue · Aug 11 · 8 postsCopilot memory and Ollama in GitHub Copilot for JetBrains
This update brings persistent memory, local model access, and more enterprise controls to GitHub Copilot for JetBrains. It also improves everyday chat workflows and resolves reliability issues across MCP servers,…
Upcoming deprecation of MAI-Code-1-Flash
With the launch of MAI-Code-1.1-Flash, we will deprecate MAI-Code-1-Flash across all GitHub Copilot experiences on September 10, 2026: Model Deprecation date Suggested alternative MAI-Code-1-Flash 9-10-2026 MAI-Code-1.1-Flash Please update your workflows…
MAI-Code-1.1-Flash available in GitHub Copilot
MAI-Code-1.1-Flash, Microsoft’s latest small-tier coding model, is now rolling out in GitHub Copilot. Building on MAI-Code-1-Flash, it adds native vision support for image understanding and delivers improvements across coding quality,…
Why Go is an Ideal Language for AI-Assisted Software Engineering
As AI coding assistants shift the developer's primary role from writing boilerplate to reviewing and maintaining systems, language choice becomes critical for long-term architectural integrity. Go directly addresses this new paradigm by utilizing its strict compiler, integrated toolchain, and uncompromising readability to provide deterministic guardrails that help AI models self-correct and generate highly standardized code. By enforcing ecosystem-wide consistency and strict backward compatibility, the Go platform empowers engineering teams to efficiently verify, optimize, and maintain high-velocity, AI-generated output in production environments.
Compliance API coverage extends to Claude Cowork and Claude Code
Claude's Compliance API now covers Cowork across the desktop app, web, and mobile, as well as Claude Code in the CLI and desktop app. Coverage is in beta for Claude Enterprise customers.
Introducing Grok Bot
Grok Bot is your team of always-on agents. They have their own computer, work inside tools and apps like you do, and keep working 24/7.
Per-model token breakdown in the usage report
You can now see a per-model breakdown of the tokens behind your AI credits in the usage report. For each model, the AI usage report shows the input, output, cache…
Mastering Edge AI on Raspberry Pi with LiteRT and Gemma
Deploying secure, real-time Edge AI on Raspberry Pi is now simplified using LiteRT and lightweight Gemma open models. LiteRT optimizes CPU and GPU performance, delivering fast token speeds for models like Gemma4, enabling real-time local reasoning for robotics. Developers can quickly convert, quantize, and run these models using the lightweight LiteRT CLI tool. Support for Hailo AI accelerators is also coming very soon.