43 original posts · author attribution and direct source links
Tavus
@tavusIntroducing Griffin, the first model to pass the video Turing test. 48% of people who talked to it live thought it was a real human. Previous systems have had a pass rate <3%. It is #1 on NVIDIA's benchmark for full-duplex AI video. It’s the first Human Interaction Model (HIM). https://t.co/eb11XbC8Xr
OpenAI Developers
@OpenAIDevsdots demo. Now... with better WiFi. https://t.co/ucMH7SI1vj
Cursor
@cursor_aiGLM 5.3 and GLM 5.3 Flash are now available in Cursor! GLM 5.3 Max is the best-scoring open-weight model on CursorBench 4.0. https://t.co/fEelJWzeZY
Anthropic
@AnthropicAIIn physics, an “impedance mismatch” occurs when two systems each work well but are poorly matched. In this Science Blog guest post, Harvard physicist Matthew Schwartz argues that something similar is happening with AI and science. LLMs are capable at many things, but working with them as you would with a human collaborator isn’t currently the best way to elicit their scientific strengths. To address this mismatch, Schwartz created a toolkit for exact calculations in quantitative science. Because similar calculations often emerge in very different areas of science, Claude found connections to ecology, population genetics, and a dozen other fields, and Schwartz worked with domain experts to steer it towards interesting questions. Read more about these projects here: https://t.co/UpgSwMCz7h
Jonny Burger
@JNYBGRThe Remotion ecosystem is broad! It's very cool that this exists 😃
Blackmagic Design
@Blackmagic_NewsDaVinci Resolve 21.1.1! Adds trim editor improvements for audio clips and multiple edit point control, USAC audio decoding on Windows 11 plus improved controls for clips with multiple Fusion effects. Download now https://t.co/qZHqDk0y10 https://t.co/Uu3lSHEtJY
swyx
@swyxis it normal to crop out other people's logo and not attribute to a simple youtube video or how does this work in professional tech media https://t.co/RMciDG1IJS
OpenAI Developers
@OpenAIDevsHeard you liked the @modretro Chromatic. So we added one to the side quest. You have 48 more hours to join. https://t.co/zZaEOOtYpq https://t.co/XEh2EQEsjQ
rari
@0xwhrrariOpus 5.5 can make a video The hard part is making the next one better That takes a studio, not a prompt I broke down how to build it ↓ https://t.co/EXinI060Cr
GitHub
@github🎃 https://t.co/WZCZBR6t2z
Morlex
@0xMorlexMost people will see DevDay 2026 as another model release They're missing the real story GPT-6.1 Sol + Agents API + computer use + subagents = an agent that persists, acts and verifies its own work Here's how to build one, step by step https://t.co/aZoMGFFIzE
Google DeepMind
@GoogleDeepMindSynthID Bio is our new family of watermarking methods made for AI-generated biological designs. In a world first, we can now embed an imperceptible signature directly into protein sequences without affecting their biological function. 🧵 https://t.co/R2bM7Jn5Qu
Lonely
@Lonely__MH🎉《GPT越狱记》 --- 欧阳修 极客之意不在算力，在乎图影之间也。 生图之乐，得之心而寓之显卡也。 提示词👇🏻 https://t.co/2BNCqHTtLd
OpenAI Developers
@OpenAIDevsFrom an idea to a game you can play on @modretro. We caught up with @Casey to talk about the future of creativity: https://t.co/f6sBHgkr04
Google DeepMind
@GoogleDeepMindWhen AI-generated content has become so realistic, how do we verify what's made by human, machine, or nature? We explore the vital role of provenance – and how imperceptible watermarking can safeguard both digital media and biological designs – on our podcast. ↓ Timecodes: 00:00 Introduction 00:34 What is a watermark? 04:35 SynthID 15:16 Images and video 19:28 SynthID Bio 28:00 Future of resilience
Jonny Burger
@JNYBGRI shot and edited a vlog about roller skis today ⛷️ Hey, I need to find ways to test Remotion 😁 https://t.co/hXJ6QrABSG
GitHub
@githubJust one command can help you stop leaking secrets into your public code. Give your repositories essential security hygiene with gh-secure from the GitHub Security Lab. ✅ Install and use it in the Copilot app, Copilot CLI, or GitHub CLI. https://t.co/aB0ydb1TW8 https://t.co/FQxS6KHymQ
Hugging Face
@huggingfaceMCPs are making quite the comeback! You can now use them to bring your data to https://t.co/tLDUmb9Uwp https://t.co/Fk2sV7IqFk
GSAP
@greensock💚 Monday was a first for us: over a million downloads in a single day. It's an honour to support so many people creating, experimenting, and pushing what the web can do. https://t.co/AIYauZR3XO
Visual Studio Code
@code🚀 September’s @code releases brought new ways to build, automate, and ship! Here are some highlights: 🧠 HydraFusion orchestrates multiple models for your coding tasks. 🔀 Agent Merge handles review feedback, failed checks, and merge conflicts until your pull request is ready to merge. ⏰ Automations in the Agents window run repeatable tasks on demand or on a schedule. ✨ Plus, explore new ways to work across repositories and manage agent sessions. 🔗 Explore the latest updates: https://t.co/kn6SzT4TAq Happy coding! 💙
swyx
@swyxpls support smol creators https://t.co/AMwZCJ5IEK
Framer
@framerIntroducing Firewall. Redirect or block visitors based on their country, the path they request, or both. Restrict access to specific pages, or send visitors to a specific locale if your site uses localization. Learn more: https://t.co/pX8UET2lXV https://t.co/l681ffxKLu
LangChain
@LangChainLangChain Academy Course Update: Introduction to Deep Agents. Deep Agents makes it easier to build agents, Managed Deep Agents lets you deploy them with a single CLI command. We introduce Managed Deep Agents and show you how to deploy an agent in Slack. Check it out today: https://t.co/DX0Z71cwCg
Framer
@framerMigrating 10 years of blog posts could take weeks. For @RED’s 20th anniversary site, @masonwenlaunch let the Framer Agent handle it so he could focus on the creative work. https://t.co/8t3tfNpYia
GSAP
@greensock💚 Site of the Day - Filmbot by Somefolk® & Eduard Bodak — @eduardbodak ⚙️ ScrollTrigger, DrawSVG, SplitText, CustomEase 🛠️ Three.js, SVG, @Webflow, Web GL site → https://t.co/PYdO3NyGU8 showcase → https://t.co/zGjV9MynPN https://t.co/ieXGSxFz7L
LangChain
@LangChainLast week, we launched LangSmith Fine-Tuning and the smithtune CLI. Turn your agent’s own trajectories into a fine-tuned model without building a training pipeline by hand. Your traces already show your agent doing the job well. Now, that signal becomes training data. Quick demo from @jakebroekhuizen
LangChain
@LangChainAdding routing to your agent? Here's where to start: 1️⃣ Understand the tasks 2️⃣ Understand the models 3️⃣ Build the router in the harness 4️⃣ Track task outcomes An inside look at how to build a model router in the harness, and how we cut our median cost per thread by 64% with no change in quality.
LangChain
@LangChainLangSmith for Startups Spotlight: @corridor @Corridor uses LangSmith to develop + run novel agentic security evaluations, build + trace inference pipelines, and manage memory graphs that provide specialized context across various product surfaces. Get a demo: https://t.co/wchloWwj34
LangChain
@LangChain🧵 @langchain / MCP-adapters 2.0
Google DeepMind
@GoogleDeepMindActing like a digital ID card, the watermark can help DNA labs verify synthetic proteins and keep sequence databases accurate. As these requests increasingly scale, verifying if designs come from AI with built-in safeguards will help labs automate and strengthen biosecurity. 🛡️ https://t.co/nvNRT7RQ2n
OpenAI Developers
@OpenAIDevsSubmissions close in 2 days, October 3 at 2:30 PM PT.
Google DeepMind
@GoogleDeepMindAs AI accelerates scientific discovery, we’re helping researchers keep pace by quickly authenticating if biological designs are created with built-in safeguards, without stalling crucial work. 🔬 We’re releasing these tools on an open basis for research use to strengthen safeguards → https://t.co/OF3iCxAOyx
LangChain
@LangChainHeaded to @WorldSummitAI? 👥 Meet the LangChain team at Booth G54 🎙️At 11:50am on Oct 7, catch @hwchase17’s talk on the state of agent intelligence ⛴️ After Day 1, set sail with LangChain + @Elastic + @googlecloud https://t.co/KxnDkDpJJl 💻 At 11:50am on Oct 8, stop by our Agent Development workshop with LangChain & LangSmith
OpenAI Developers
@OpenAIDevsSubmissions close in 2 days, October 3 at 2:30 PM PT.
Google DeepMind
@GoogleDeepMindWatch → https://t.co/vaJzQEEPPs Spotify → https://t.co/dCRx0EnHK0 Apple Podcasts → https://t.co/SoXfo37VgP Or listen wherever you get your podcasts! 🎧
LangChain
@LangChain.@CopilotKit is sponsoring Interrupt London! Stop by their booth during the event and go hands-on with the enterprise-ready frontend stack for agents. https://t.co/M6DmDuVCuX
GSAP
@greensockand lets be real, people *and their robots*
LangChain
@LangChain.@AbridgeHQ built clinician feedback into an evaluation system that helped the team measure agent quality, identify improvements, and support faster releases. It’s one example of how healthcare organizations are moving beyond subjective review toward repeatable systems for evaluating production AI. See more in our free guide: https://t.co/qjCKiaiWeb
School of Motion
@SchoolOfMotionAndrew Price, the Blender Guru himself, decided to test some of the 3D claims made by AI companies. And he found out a whole lot! Get the full scoop on Motion Mondays ➡️ https://t.co/lSADcVOOdV https://t.co/Cue6ell6bD
kodokzx | AI & Crypto
@kodokzxs@F2aldi Hahahah, tutor dong behind the scenes
Motionographer®
@motionographerTRANSIT | Metallux Studio A letter across time. A world at war. A reason to look up together. Created by Nim Shapira, Tamir Avidor and Seffy Hirsch, TRANSIT revisits the global effort to observe the 1761 transit of Venus, inspired by Edmond Halley’s prediction of an event he would never live to see. Metallux Studio uses AI image and video generation to reconstruct eighteenth-century ships, observatories and expeditions. Across oceans and rival nations, a shared scientific task becomes the starting point for a question that still resonates: what are we refusing to do together? Watch the full film: https://t.co/fdB7NlokWB #MetalluxStudio #TRANSIT #AIFilm #MotionDesign #mtngrphr #motionographer
LangChain
@LangChainWe ran it on two of our own agents. OpenSWE Review's precision went from 62.9% to 81.5% with 29% fewer tool calls per review. Engine, fine-tuned on Kimi K3, beat the base model and GPT-5.6 Sol on our issue-detection benchmark. https://t.co/hhH5TvlTWM
LangChain
@LangChain@CopilotKit Learn more about Interrupt, The Agent Conference by LangChain and RSVP: https://t.co/GCNitijjvm
