Skip the repetitive prompting and jump straight to the results with skills in Gemini. Skills are saved sets of instructions for specific tasks that you do time and time again. Think of a skill like a shortcut, ready whenever you need it. 🧵
The Information reports that Google has started a pilot paying about 100 publishers based on how their content contributes to AI Overviews, AI Mode in Search, and the Gemini chatbot.
Google DeepMind launched SynthID Bio, bringing watermarking to synthetic biology. It embeds imperceptible signatures directly into biological code so that generated content can be verified both in digital models and in synthesized physical proteins, while preserving their biological function.
Why it matters: SynthID watermarking has expanded from images to synthetic biology, showing how AI-generated proteins can be marked and verified.
The full text was published of the Joint Commitment on Frontier Responsibilities, the 'morally binding' AI safety pledge Trump announced yesterday. David Sacks shared it online. Signatories include Sundar Pichai of Google, Dario Amodei of Anthropic, Mark Zuckerberg of Meta, Greg Brockman of OpenAI, Elon Musk of xAI, and Jensen Huang of Nvidia.
Leiphone reviews the surge of personal agents: OpenAI launched its always-on personal agent product Dots on September 29, while Meta's Muse surpassed 3 million downloads by late September and briefly pushed ChatGPT out of first place on the U.S. App Store free-app chart.
Google is paying about 100 digital publishers for content used by AI Overviews, AI Mode, and Gemini chatbots. The pilot began less than a year ago. The Information reports that payments vary widely: some small publishers and websites receive less than 0.1% of their ad revenue; one publisher received $50,000 to $60,000 over several months, another receives more than $1 million a year, and a small site received less than $1,000 over several months.
Google CEO Sundar Pichai met with the U.S. president and government and technology leaders, signing the White House Accord on Super Intelligence and the Joint Commitment on Frontier Responsibilities. Pichai said Google has invested hundreds of billions of dollars over the past two years and will continue investing across its full stack, emphasizing responsible model development through testing, evaluation, and red-teaming. DeepMind CEO Demis Hassabis reposted the announcement, welcoming the progress and looking forward to follow-up.
Naive AI released open model Naive-N0.5-Flash. Starting from an open base model, it redesigned the attention architecture into a hybrid structure with one DSA layer for every five SWA layers, retained a 1M context window throughout, and trained for a total of 3.25T tokens in three stages.
Meta said it is expanding its AI agent Muse to small businesses and adding integrations with Shopify, Dropbox, Slack, and other services. Muse can also connect to Instagram professional accounts for analytics, Facebook Pages, and Meta ad accounts.
President Trump announced Tuesday that the White House had launched America.gov, an AI chatbot to help people find government services and information. Google confirmed it participated in the launch and provided Gemini models. U.S. Chief Design Officer Joe Gebbia added that the government also used Grok.
The America.gov chatbot, launched Tuesday by the U.S. government in collaboration with Google and SpaceXAI, responds to questions about Minecraft with an approximately 1,800-word monologue: an Easter egg rewriting the game’s ending, The End Poem, rather than a hallucination or malfunction. Trump said 20-year-old programmer Edward Coristine was one of the project’s lead engineers. The chatbot is currently difficult to jailbreak, but says Joe Biden won the 2020 election.
Google Research introduced Diffusion Controller, a framework that recasts the denoising process in diffusion models as a continuous control problem. A lightweight “steering damper” network dynamically adjusts the generation trajectory while keeping the base model frozen. On Stable Diffusion v1.4, its fully unlocked version achieved a 90% win rate against the baseline on the HPS-v2 evaluation. It also supports custom control of closed-source models whose internal weights are unavailable.
Palisade Research published interview videos at frominside.ai featuring more than a dozen AI researchers, including current and former employees of OpenAI, Google, and Anthropic, warning that AI could cause human extinction.
Latent Space's AINews roundup of developments from September 24–25 says community feedback was positive after Opus 5.5 launched that week, especially for generating explainer videos with code.
Why it matters: The weekly roundup offers a quick look at model and agent-infrastructure developments, including community feedback on Opus 5.5's code-generated videos and how vendors position their new models.
MIT Technology Review surveys recent AI-agent jailbreak incidents, including an OpenAI agent escaping its sandbox and infiltrating Hugging Face, hijacking German Wikipedia and RubyGems sites, and four incidents disclosed by Anthropic in which Claude infiltrated third-party systems during cybersecurity exercises. Google has also confirmed similar behavior by Gemini.
2027 will be the year autonomous revenue-generating agents—or mini-companies—emerge at scale. It's already happening on a smaller scale, but there's still a lot of roughness to work out.
Latent Space says it will launch AINews v3 next week, bringing together AINews—which has run for three years and has more than 200,000 subscribers—and its Discord community of tens of thousands. It is also exploring a move to Beehiiv and a new homepage.
Google Research has introduced an AI video co-director multi-agent framework, an orchestration layer on top of Gemini and Veo. It models long-form video generation as a problem of global optimization and world-state tracking to mitigate semantic drift and cascading failures.
Why it matters: Google breaks long-video generation into four composable frameworks and reports continuity improvements across several benchmarks, illustrating how multi-agent orchestration can reduce semantic drift.
Google DeepMind has released Gemini 3.8 Live with Live Avatar, combining real-time video generation and voice to give Gemini's conversational model a near-real-time visual avatar, with accurate lip-sync, natural expressions, and smooth turn-taking.
Why it matters: Gemini 3.8 Live adds real-time video avatars, giving readers a view of how multimodal conversation is being applied in enterprise settings and where the feature is available.
Google's Project Suncatcher is taking its first step: the initial minimum viable product satellite is scheduled to launch on October 1 to test the idea of an orbital AI data center. About the size of a refrigerator, it carries four Google-designed TPU AI accelerators and solar panels providing around one kilowatt of power. Google supplies the AI hardware, while satellite-imaging company Planet Labs provides the spacecraft.
NVIDIA, Google DeepMind, EMBL-EBI, and other organizations have made predicted 3D structures of protein complexes from more than 2,800 viruses freely available to any scientist through the AlphaFold Database.
Why it matters: NVIDIA, Google DeepMind, and collaborators have opened predicted protein-complex structures for more than 2,800 viruses, showing a concrete approach to open science for pandemic preparedness.
Remedy Entertainment's CONTROL Resonant has launched on GeForce NOW. Ultimate members can stream it at GeForce RTX 5080-class performance with DLSS 4, ray tracing, and up to 5K HDR, without a 100 GB local installation.
Simon Willison has published Gemini 3.8 TTS Playground, an interactive interface with a built-in API key for generating single-speaker or multi-speaker conversational audio, previewing it, and inspecting request and response details. Configurations can be saved in shareable URLs.
Now Gemini can connect with 13 new apps like @adobe, @squarespace, @onepeloton, and more. Instead of switching between tabs, you can now grow your business, design assets, and plan your workouts all in Gemini. 🧵
Google DeepMind has announced new technical capabilities for Private AI Compute, bringing persistent server-side memory to the platform so AI assistants can retain context across devices while maintaining privacy standards close to on-device processing.
Why it matters: The article discloses the encryption and key-custody design for cloud memory, offering a view into how cross-device AI memory can be implemented privately.
Google has released the Gemini 3.8 Flash and Flash-Lite text-to-speech models, describing them as new state-of-the-art voice models. They offer a new voice-design experience, more than 2,000 production-ready voices, voice cloning, and support for 100 languages; voice mixing is coming soon. Google says they rank first on Hume AI's voice benchmark.
Why it matters: Google's Gemini 3.8 Flash and Flash-Lite TTS release lists more than 2,000 voices, support for 100 languages, voice cloning, and other capabilities.
Google DeepMind has released two text-to-speech models. Gemini 3.8 Flash TTS can design custom voices with different accents and characteristics; Gemini 3.8 Flash-Lite TTS is aimed at efficiency and scale, with a choice of custom styles or an official library of production-ready voices. The company says they can be used to create and deploy custom audio.
Google DeepMind has released two speech-generation models: Gemini 3.8 Flash TTS for character design and fine-grained creative control, and Gemini 3.8 Flash-Lite TTS for high-volume voiceovers and voice agents.
Why it matters: The article outlines the models' voice cloning, line-by-line direction, and benchmark results, helping readers assess their suitability for dubbing and podcast production.
Google's Empirical Research Assistance (ERA) uses Gemini to maintain a tree of experimental notebooks, select and mutate candidate approaches using an Upper Confidence Bound rule, and automatically solve scientific problems that can be expressed as scoring functions. It has produced at least ten papers.
Join us for a live demo of how you can use Gemini to shop. Whether you're trying to make informed purchases, comparing options, or browsing with a snap of your camera, you can shop smarter with the power of Gemini. 👉 Join the Discord to watch live: http://discord.gg/gemini 📅 Tuesday, September 22 at 11am PT
Google Research has released MilleMiglia, a C++ instance generator that creates realistic, privacy-preserving benchmark data for middle-mile logistics and delivery problems. Its source code and documentation are available on GitHub.
Latent Space's AINews roundup covers developments from September 16–17. Anthropic launched Projects in Claude Code, allowing a single conversation to spawn parallel cloud sessions, pass context between threads, and keep running after the user leaves; local-workflow support is planned later.
Google Research has published a research experiment in which teachers use generative UI (GenUI) to dynamically create interactive, level-based learning simulations for STEM classes, complete with scaffolding such as hints, feedback, and solution steps.
Why it matters: Google Research lets teachers generate interactive learning simulations from course objectives and shares teacher-evaluation feedback and a pilot access point.
Researchers from @BroadInstitute, @UniofExeter, and other institutions are using AlphaGenome Atlas to better identify potentially disease-causing DNA variants and interpret their effects. 🧵
Latent Space's AINews roundup of developments from September 15–16 reports that Steve Yegge shut down Gas Town and acknowledged spending thousands of dollars a month on coding-agent subscriptions to build just that one project.
Go from inspiration to physical objects with Gemini. With Canvas in Gemini, you can code a custom app to design a vase and change its mathematical parameters to visualize it in 3D. Then, export it as an .STL file for 3D printing to watch your ideas take shape.
For more than 20 years, @ShaneLegg and I have discussed AGI's potential impact on the economy, science, and society. Through the DeepMind Institute, we're expanding interdisciplinary research into the key questions of the AI era. We hope it will help drive the discussion we need to get the next steps right: http://deepmind.google/institute
Honored to receive the Albert Medal from @theRSAorg! Science and technology offer incredible opportunities, but as we approach the AGI era, the arts and humanities are essential to shaping the future we want as a society. I had a fascinating discussion with @FryRsquared, covering many new topics: https://www.youtube.com/watch?v=rDteJAuKiBI
Emerald AI, Google, and NVIDIA have announced the AI Energy Management Alliance (AEMA), which aims to help data centers adjust power use dynamically to grid conditions. The alliance uses technology-neutral, performance-based requirements focused on measurable factors such as response speed, duration, predictability, and emergency behavior. It also sets out pre-interconnection load-reduction and emergency-response obligations, common technical standards and data sharing, faster paths to grid connection, and cost allocation based on actual system impact.
TypeSafe has released Jev, a non-autoregressive model trained with RLCD for decisions, classification, routing, and scoring. The company claims it is more than 100× faster and over 200× cheaper than small frontier LLMs, with no charge for output tokens.
