OpenAI Launches Codex for (Almost) Everything

#1 📝 OpenAI News

Codex for (almost) everything - OpenAI announces Codex for a wide range of uses, positioning Codex as a versatile product for many tasks. The post highlights product-focused capabilities and availability.

#2 𝕏

Mike Krieger directs PMs to Anthropic’s follow-up blog on Claude Opus 4.7, outlining performance boosts, enhanced safety guardrails, and expanded multimodal capabilities. Let us know what you think!

Also covered by: @Simon Willison, @LlamaIndex 🦙, @Cursor, @v0, @Mike Krieger, @Dharmesh Shah

#3 𝕏

Qwen launched the open-source Qwen3.6-35B-A3B, an Apache 2.0–licensed sparse MoE model with 35B total (3B active) parameters. It matches coding performance of models 10× its active size and offers strong multimodal perception, reasoning, and dual thinking modes.

#4 𝕏

Demis Hassabis unveiled Gemini 3.1 Flash TTS, Google’s most expressive and steerable text-to-speech model offering granular control over AI-generated voice; it’s available in preview today via the Gemini API and Google AI Studio, with enterprise access on Vertex AI.

#5 📝 OpenAI News

Introducing GPT-Rosalind for life sciences research - OpenAI introduces GPT-Rosalind, a model tailored for life sciences research to support domain-specific scientific workflows. The announcement emphasizes research applications and potential benefits for scientific discovery.

Also covered by: @Kevin Weil

#6 in

Guillermo Rauch launched Workflow SDK, a framework that brings SQS/Kafka-style durability to AI agent backends—automatically handling LLM downtime, rate limits and database hiccups without the ops complexity and with self-hosting plus multi-environment support.

#7 𝕏

Google Research launched YouTube AI Search (YouTube Ask on TV), enabling users to ask complex questions and hold iterative conversations to refine video results; catch the live demo at the Google booth at 10:30 AM #CHI2026.

#8 𝕏

Google DeepMind built a bridge between Gemini Robotics ER and Spot’s system, letting the AI use plain English to move the robot, take photos, and grab objects for more complex tasks.

#9 𝕏

Teresa Torres highlights Doist’s new Ramble feature in Todoist: a pure-AI voice-to-task pipeline built on Gemini live audio, dynamic tool calls and automated evals, validated through user research in five languages and primed for future multimodal support.

#10 in

Hannah Stulberg walked through how her team at DoorDash uses a shared GitHub repo called Team OS to centralize customer call summaries, metric definitions, PRDs and research so any coding agent can assist across product, design, analytics and engineering.

#11 𝕏

Philipp Schmid built a voice-enabled Telegram bot in ~400 lines of Python using the Gemini Interactions API—leveraging Gemini 3.

#12 𝕏

LlamaIndex 🦙 added LiteParse—4.3K+ GitHub stars, zero-cloud parsing at 500 pages/2 s across 50+ formats—to its ecosystem, now powering agents like Claude Code and Cursor.

#13 📝 Claude Code Blog

Best practices for using Claude Opus 4.7 with Claude Code - Practical guidance for using the Claude Opus 4.7 model inside Claude Code, covering recommended patterns, configuration tips, and usage best practices to optimize developer workflows when coding with Claude.

Also covered by: @Simon Willison, @LlamaIndex 🦙, @Cursor, @v0, @Mike Krieger, @Dharmesh Shah

#14 ▶️

New course! Spec-Driven Development

Deeplearning.ai

#15 𝕏

Google Research unveiled Simula, a framework that reframes synthetic data generation as dataset-level mechanism design, using reasoning from first principles to offer fine-grained control over coverage, complexity, and quality.

#16 𝕏

Sam Altman announced major Codex improvements, including a macOS computer-use feature that lets the AI leverage all your Mac apps in parallel without disrupting your work. He also highlighted new plugin integrations to broaden its functionality.

#17 📝 Simon Willison

Qwen3.6-35B-A3B on my laptop drew me a better pelican than Claude Opus 4.7 - A comparison of pelican drawings produced by Qwen3.6-35B-A3B (Alibaba) and Claude Opus 4.7, with Qwen producing a markedly better pelican on the author's local machine.

#18 𝕏

OpenAI launched GPT-Rosalind, its Life Sciences model series, as a research preview via ChatGPT, Codex, and the API for qualified partners including Amgen, Moderna, the Allen Institute, and Thermo Fisher Scientific.

Also covered by: @Kevin Weil

#19 𝕏

Kevin Weil clarifies that the Rosalind bio/drug discovery model’s enterprise and education partnerships strictly exclude their data from any training processes to ensure customer data protection.

#20 𝕏

DeepLearning.AI previews AI Dev 26, where Andrew Ng outlines how AI is transforming software engineering workflows, skill sets, and future job roles.

#21 𝕏

OpenAI notes that the US drug discovery-to-approval process takes 10–15 years on average. Advanced AI systems can accelerate this by boosting research efficiency, uncovering hidden connections, and helping scientists form stronger hypotheses faster.

#22 𝕏

Cursor finds that as AI code generation improves, developers’ roles shift to managing that output—documentation (+62%), architecture (+52%), code review (+51%) and learning (+50%) are booming versus just 15% growth in UI/styling.

#23 𝕏

Philipp Schmid breaks down bot audio costs, showing that at ~25 tokens/sec, 60 seconds of speech runs about $0.03.

#24 𝕏

Google DeepMind partnered with @BostonDynamics to power Spot with Gemini Robotics embodied reasoning models. This enables the robot to better understand its surroundings, identify objects and carry out simple commands like tidying up a room.

#25 𝕏

Demis Hassabis shares a dev.to prompt guide for Google AI’s new Gemini 3.1 text-to-speech model, walking through step-by-step techniques to craft prompts that maximize voice output quality.