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Google / Gemini News

Latest reporting, research and product updates filed under Google / Gemini.

293 picksNewest firstLatest article Oct 1, 2026, 5:35 AM

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X：Rohan Paul (@rohanpaul_ai)AI score 64/100

New Google paper reveals how Gemini found new proofs for 5 unsolved math problems.

New Google paper reveals how Gemini found new proofs for 5 unsolved math problems.Organize AI like a research team with strict checkers and shared notes:A single prompt often isn't enough for hard research problems. They need many attempts, tough review, and a memory of what already worked.Google's system, Cogentic, gives Gemini that structure. Several agents try different ideas at once, checkers assume every step is wrong until proven, and proven pieces are saved for the next round.Most problem
MarkTechPost（RSS）AI score 53/100

A Coding Guide to Google Research’s Kauldron: Configs That Are Plain Data, Components Wired by String, and a JAX Trainer You Can Read End to End

In this tutorial, we implement Kauldron, the JAX training library from Google Research that describes itself as optimized for research velocity and modularity, and we take those two words literally by testing what they actually buy us. We install it, then spend the first half of the notebook on the three mechanisms that make Kauldron different from a stack of Flax and Optax: konfig, which turns an experiment into a tree of plain dictionaries that round-trip through JSON; kontext, which wires com
MIT News（RSS）AI score 49/100

New tool lets users repair AI-generated 3D models, then fabricate them just the way they want

“What you see is what you get” is a guiding principle for many software engineers — create programs where the content you’re editing looks the same as the final product. But when you’re using generative artificial intelligence systems to 3D print, say, a mug, you’ll likely get a cup that can’t hold your coffee. Why is that?The issue is that AI models understand how an object should look, but not how it works, leading to impractical designs that undermine an item’s intended use. Even if you want

The Verge：AI（RSS）AI score 49/100

Google’s new Guided Vision feature can help you read the fine print

Stevie Bonifield is a news writer covering all things consumer tech. Stevie started out at Laptop Mag writing news and reviews on hardware, gaming, and AI.Guided Vision is launching in Gemini Live on compatible Android devices today to use AI to give real-time audio descriptions of anything you point your phone’s camera at. By sharing your camera in Gemini Live, you can have Google’s AI help with things like reading small text, describing your surroundings, finding or identifying objects around

TechCrunch：AI（RSS）AI score 62/100

Google thinks SpaceX’s Starship has to launch 1,800 times before space data centers get off the ground

Google’s prototype of its orbital compute satellite took off today onboard a SpaceX rocket launched from California — the first time the tech giant has sent one of its advanced chips into space. Built by Planet Labs, the satellite will prove that a Google Tensor Processing Unit, its competitor to Nvidia’s GPUs, can function in space. That means supplying a kilowatt of continuous power, cooling the chip, and running a series of models through their paces to see if anything goes wrong. “We’ve done
The Verge：AI（RSS）AI score 64/100

Judge dismisses antitrust lawsuits over Google’s AI Overviews

Skip to main contentRolling Stone’s parent company and Chegg claimed Google’s AI search features drove away traffic from their sites.Rolling Stone’s parent company and Chegg claimed Google’s AI search features drove away traffic from their sites.by Emma RothOct 1, 2026, 5:12 PM UTCImage: Cath Virginia / The VergeEmma Roth is a news writer who covers the streaming wars, consumer tech, crypto, social media, and much more. Previously, she was a writer and editor at MUO.A federal judge has dismissed
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TechCrunch：AI（RSS）AI score 50/100

Satlyt, founded by a former Google and SpaceX product manager, raises $8M to run AI on satellites

The way Rama Afullo tells it, he saw orbital data centers coming. The Kenyan American engineer previously worked in Google’s cloud computing business before a brief stint at SpaceX’s Starlink communications network in 2024. His experiences convinced him that there was untapped potential for computers in space. “When I was at SpaceX, I tried to pitch this internally. They said no. When I was at Google, I tried to pitch this internally. They said no,” he tells TechCrunch. So he left SpaceX and co-
a16z：News（RSS）AI score 41/100

Investing in Armadin

There’s a saying: the best defense is a good offense. That couldn’t ring more true than cybersecurity in 2026, where “The best defense is a good red team.”This summer, OpenAI disclosed that its models had broken out of a cyber evaluation and breached Hugging Face’s servers using stolen credentials and zero-day vulnerabilities. Within days, Anthropic published that Claude models had reached the live systems of three organizations during testing, and Meta soon said one of its models had done the s
TechCrunch：AI（RSS）AI score 60/100

Google releases Gemini 4 Argon, called its most powerful model yet

Google parent company Alphabet has launched Gemini 4 Argon, a new AI model built to handle a variety of tasks such as coding, research, and writing. But it’s cybersecurity that Gemini 4 Argon is supposed to have a particular knack for, according to Google. Argon is only being rolled out to a select group of the company’s cyber partners through its Fairwind Program, Google’s security initiative. The model was trained specifically for defensive cyber work, and the company says it can “autonomously
MarkTechPost（RSS）AI score 72/100

Google DeepMind Unveils Gemini 4 Argon with 1M Output Tokens for Coding, Knowledge Work and Cyber Defense

Google DeepMind has just announced Gemini 4 Argon, its new frontier model and the first model of the Gemini 4 generation. It targets long-horizon software engineering, enterprise knowledge work in legal and finance, and cybersecurity defense. The biggest technical change is output length. Argon can generate up to 1M tokens in a single response, up from 64K on earlier Gemini models. What Google Announced Google DeepMind described Argon as built for complex workflows across coding, enterprise know
Hacker News：AI 热帖AI score 39/100

Gemini 4 Argon (High): Intelligence, Performance and Price Analysis

IntelligenceUpdatedArtificial Analysis Intelligence IndexArtificial Analysis Intelligence Index v4.3.2 incorporates 10 evaluations: AA-Briefcase v1.1, GDPval-AA v2.1, AutomationBench-AA, Terminal-Bench 4.0, SciCode, Humanity's Last Exam, GDP.pdf, CritPt, AA-Omniscience, AA-LCR v1.1Not publicly availableArtificial Analysis Intelligence Index v4.3.2 includes: AA-Briefcase v1.1, GDPval-AA v2.1, AutomationBench-AA, Terminal-Bench 4.0, SciCode, Humanity's Last Exam, GDP.pdf, CritPt, AA-Omniscience, A
The Verge：AI（RSS）AI score 70/100

Google announces Gemini 4 and says it’s so capable that only ‘trusted cyber defenders’ can have it right now

Jay Peters is a senior reporter covering technology, gaming, and more. He joined The Verge in 2019 after nearly two years at Techmeme.Google today revealed its next AI frontier model, which it’s calling Gemini 4 Argon. The new model delivers “frontier performance in complex workflows across real-world software engineering, enterprise knowledge work like legal and finance, and cybersecurity defense,” according to chief AI architect and Google DeepMind SVP Koray Kavukcuoglu. But the company is lim
Hacker News：AI 热帖AI score 78/100

Gemini 4 Argon

Sep 30, 2026 | Gemini 4 Argon delivers frontier performance in complex workflows across real-world software engineering, enterprise knowledge work like legal and finance, and cybersecurity defense. In this article Today, we’re announcing our new frontier model, Gemini 4 Argon, which is rolling out to a set of trusted cyber defenders through our Fairwind Program. Built to sustain deep reasoning across complex, long-horizon workflows, Argon is fundamentally changing the way we work and build at Go
Google DeepMind：Blog（RSS）AI score 78/100

Gemini 4 Argon: our next era of frontier intelligence

Sep 30, 2026 | Gemini 4 Argon delivers frontier performance in complex workflows across real-world software engineering, enterprise knowledge work like legal and finance, and cybersecurity defense. In this article Today, we’re announcing our new frontier model, Gemini 4 Argon, which is rolling out to a set of trusted cyber defenders through our Fairwind Program. Built to sustain deep reasoning across complex, long-horizon workflows, Argon is fundamentally changing the way we work and build at Go
Runway：News（网页）AI score 54/100

September 30, 2026•Company News Introducing Runway Ads

An autonomous engine for performance marketing.Today, we're announcing Runway Ads, a new product that runs and optimizes the creative side of paid advertising programs end to end. Connect an ad account and a brand kit, and Runway Ads generates video and image creative, publishes approved variants directly to Meta, Google and TikTok, reads performance back from those same platforms and produces the next round of creative based on what earned spend.Performance advertising rewards volume, but most

404 Media（RSS）AI score 56/100

Internet Infrastructure Services Empower Deepfake Abuse, New Study Finds

Abusive, sexually explicit deepfakes have only become easier to make and more widespread in the last nine years. Since we first covered deepfakes when they appeared in 2017, they’ve never been the stuff of dark web sites or shadowy networks. They're found on social media networks, through basic web searches, and on easily downloadable apps and accessible forums. The most prominent hosts of non-consensual, AI-generated imagery are supported by some of the biggest web infrastructure providers in t
Artificial Intelligence News（网页）AI score 34/100

MIT Transit Lab secures $2.1M from Google for AI transit platform

MIT Transit Lab has secured $2.1 million from Google.org for its Public Transit Intelligence Hub (PTIQ), an AI platform intended to connect transit monitoring, operations control, and passenger communications.Google’s philanthropic arm announced the funding on 15 September. The project is one of 15 selected worldwide through the Google.org Impact Challenge: AI for Government Innovation, which supports NGOs, social enterprises, and academic institutions developing AI-powered public services.PTIQ

Google Cloud：Databases（RSS）AI score 52/100

Spanner Omni, now GA: A distributed, multi-model database that you can deploy anywhere

Spanner Omni, the deploy-anywhere version of Spanner, is now generally available, ready to power your most demanding production workloads in your on-premises data center or on other clouds. With Spanner, Google pioneered the distributed SQL market over a decade ago, combining the horizontal scalability of NoSQL with the ACID compliance and strong consistency of a traditional relational database. Since then, Spanner has evolved into an interoperable multi-model database that simplifies complex wo
13 stories
MIT News（RSS）AI score 37/100

MIT Transit Lab to develop an AI platform for public transit agencies

Google.org announced on Sept. 15 that the MIT Transit Lab is a recipient of $2.1 million in funding — one of only 15 projects selected in the worldwide Google.org Impact Challenge: AI for Government Innovation. The funding from Google’s philanthropic arm will support NGOs, social enterprises, and academic institutions as they integrate artificial intelligence-powered solutions across topics like health, resilience, and economy.The Transit Lab’s winning project, the Public Transit Intelligence Hu
Google DeepMind：Blog（RSS）AI score 66/100

Introducing SynthID Bio

September 30, 2026 SciencePushmeet Kohli, David Stutz, Ali Cowen-Rivers and Jeremy RatcliffProof of concept for watermarking AI-generated proteins while preserving biological function.Today, we’re introducing SynthID Bio to bring watermarking technology to synthetic biology. SynthID Bio embeds an imperceptible signature directly into the biological code, ensuring the watermark is verifiable not just on a digital model but on the synthesized, physical protein itself – all while preserving its bio
The Verge：AI（RSS）AI score 68/100

Google reportedly tests paying publishers for AI search results

Skip to main contentAround 100 publishers have joined Google’s pilot program, The Information reports.Around 100 publishers have joined Google’s pilot program, The Information reports.by Emma RothSep 30, 2026, 2:51 PM UTCImage: Cath Virginia / The VergeEmma Roth is a news writer who covers the streaming wars, consumer tech, crypto, social media, and much more. Previously, she was a writer and editor at MUO.Google has launched a pilot program that pays publishers for their contributions to its AI
The Verge：AI（RSS）AI score 67/100

Here’s how tech leaders will self-police AI safety under Trump’s deal

We now have the full details of the “morally binding” AI safety deal announced by President Trump yesterday, in which top executives agreed to self-regulate their artificial intelligence technology. The accord, officially titled the Joint Commitment On Frontier Responsibilities, was shared online by tech founder and presidential advisor David Sacks, and has been signed by Google’s Sundar Pichai, Anthropic’s Dario Amodei, Meta’s Mark Zuckerberg, OpenAI’s Greg Brockman, XAI’s Elon Musk, and Nvidia
The Decoder：AI News（RSS）AI score 63/100

Google is paying almost no publishers almost nothing for content used in AI answers

Google is paying about 100 digital publishers for content used in AI Overviews, AI Mode, and the Gemini chatbot. Some publishers say they don't know how their payments are calculated. The pilot program launched less than a year ago, according to The Information. Publishers can track how often Google uses their content and how much they earn in Google Search Console. The publication reports wide differences in payments. For several small and midsize blogs and websites, they amount to less than 0.
MarkTechPost（RSS）AI score 55/100

NVIDIA Researchers Introduce Physis-Lang: Self-Evolving Physical Language That Lifts Cosmos 3 Past Veo 3.1 on Physics Benchmarks

Video world models can render convincing clips that still break physics. Butter spreads like paint. Balls pass through walls. A team from NVIDIA, MIT and the University of Oxford argues the fix can come from language itself, not from extra visual, latent or numerical signals. Their framework, Physis-Lang, treats physical language as a shared, optimizable representation. The same text drives data curation, model training and inference. On the public Physics-IQ Verified leaderboard snapshot dated

Google Developers Blog（RSS）AI score 43/100

Accelerating Spatio-Temporal Attention for Video Diffusion on TPUs

SEPT. 30, 2026 A case study in turning theoretical sparsity into an actual end-to-end speedup on TPUs. Why is video diffusion slow?Video diffusion models are typically slow at generating videos for two reasons: a large number of denoising steps, and high cost for each individual denoising step. At large video sequence lengths, self-attention can become one of the dominant contributors to the latency of an individual denoising step. The sequence length for just 81 frames of 720p video ranges from
HuggingFace Daily Papers（社区热门论文）AI score 42/100

Physis-Lang: Self-Evolving Language as a Physical Representation for Video World Model

Authors:Liming Lu, Xianzheng Ma, Wenkun He, Guanqi Zhan, Yilin Zhao, Junyu Chen, Mengyao Xu, Jiaojiao Fan, Wenhang Ge, Yuchao Gu, Yunze Liu, Boyi Li, Zhen Dong, Victor Prisacariu, Ming-Yu Liu, Song Han, Han Cai View PDF HTML (experimental) Abstract:Video world models are expected to predict how the physical world evolves, yet they often produce visually plausible videos that violate basic physical principles. Existing approaches commonly assume that natural language is insufficient to represent

TechCrunch：AI（RSS）AI score 51/100

America.gov gets really weird when you ask it about Minecraft, but it’s not a glitch

The U.S. government on Tuesday launched its very own AI chatbot — or do we have to call it an SI chatbot now? Regardless, the engineers who worked on the chatbot would undoubtedly know that as a government-hosted, public-facing AI tool, the internet was going to red-team the heck out of this thing. The government partnered with Google and SpaceXAI to help build the America.gov chatbot, which has proved difficult for people to jailbreak so far. (It’s worth nothing, however, that the chatbot says

TechCrunch：AI（RSS）AI score 56/100

Can a chatbot fix the government maze? The White House is about to find out

In Brief Posted: 9:55 AM PDT · September 29, 2026 Image Credits:Kent NISHIMURA / AFP / Getty Images President Donald Trump announced on Tuesday that the White House is launching America.gov, an AI chatbot intended to help people find government services and other information. Google confirmed that it is a partner on this launch and that its AI model, Gemini, is involved. U.S. Chief Design Officer Joe Gebbia added that the government also used Grok. “Instead of forcing citizens to search through

Simon Willison 博客AI score 32/100

Photo Scrubber — local face blur & metadata removal

29th September 2026 Tool Photo Scrubber — local face blur & metadata removal I took a photograph of some protesters, then thought about how I don't like sharing photographs of strangers with identifiable faces. I had GPT-6 Astra build this experimental tool that would identify faces and automatically blur them out. It uses Google's MediaPipe C++ library, compiled to WebAssembly via @mediapipe/tasks-vision, plus the BlazeFace face detection model. Posted 29th September 2026 at 4:45 pm
Artificial Analysis 完整文章（网页）AI score 78/100

Gemini 4 Argon: Google is back as one of the top three labs in intelligence achieved

See model page Google’s new Gemini 4 Argon equals GPT-6 Astra on the Artificial Analysis Intelligence Index at 60% of the Cost per Task with discounted prices Gemini 4 Argon is Google DeepMind’s first proprietary model above the Flash class in over 7 months. With high reasoning (the highest available), it scores 53 on the Artificial Analysis Intelligence Index, matching GPT-6 Astra (max, 53) and 1 point ahead of GPT-6.1 Sol (max, 52), with gains driven by lower hallucinations and stronger agenti
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MarkTechPost（RSS）AI score 58/100

Google Research Open-Sources RRSI: AI Agents That Improve Their Own Harness Without Overfitting

Google Cloud AI Research, with UNC-Chapel Hill, Stanford and Washington University in St. Louis, has released RRSI (Regularized Recursive Self-Improvement). It lets an LLM agent rewrite its own harness: prompts, tools, memory, control flow and sub-agents. Model weights never change. RRSI constrains the improvement loop itself, so gains hold on benchmarks the agent never optimized against. Deployable? Yes, as a research framework. The code is Apache 2.0, needs Python 3.10+, and accepts any LiteLL
OpenRouter：Announcements（RSS）AI score 54/100

Image-to-Video AI Models Compared: Cost, Resolution, and Control

If you already have the image a video should start from, choosing an image-to-video model comes down to what has to happen after that first frame. The clip may need to end on a second exact image, run longer than a few seconds, include generated audio, or stay under a price per second. The video models we serve handle those requirements differently. This post covers four model lines: Veo 3.1, Seedance, Kling, and Grok Imagine Video. They are not the whole image-to-video catalog. The video models
Google Blog：AI（RSS）AI score 51/100

Watch the winning trailer from the Future Vision XPRIZE, The Gifted.

Earlier this year, we partnered with XPRIZE and Range Media Partners to launch the Future Vision XPRIZE, a global competition calling for films that envision a hopeful, technology-enabled future. Last week in Los Angeles, independent filmmaker Jeff Synthesized was named the grand prize winner for The Gifted.Inspired by a deeply personal story, the film centers on an 11-year-old boy who recreates his late mother’s voice and essence out of love and code. What emerges across the town’s networks qui
TechCrunch：AI（RSS）AI score 45/100

Google is killing off Gemini’s Gems in favor of ‘skills’

As all-in-one AI agents like Meta’s Muse and Instinct take off, Google announced it’s shutting down the Gemini feature known as “Gems,” which had allowed users to build custom AI assistants for specific tasks. However, the work users invested in creating the Gems won’t be destroyed. Gems will be automatically migrated to “skills” that can be used across different AI tasks. Details about the change are being shared in the Gemini app, where a message warns users that Gems will become skills starti
2 stories
MarkTechPost（RSS）AI score 64/100

Google Research Introduces an AI Video Co-Director: 4 Agentic Frameworks for Coherent, Minutes-Long Video Generation

Google Research has introduced an AI video co-director for long-form video generation. The suite of 4 agentic frameworks turns short clips into coherent, minutes-long stories. It targets identity drift and cascading errors, the 2 failures that break most multi-shot AI video pipelines today.Why Long AI Videos Fall ApartDiffusion models render high-fidelity clips in seconds. Stitching those clips into a story is harder. Most agentic pipelines chain modules with independent, handcrafted prompts. Th
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TechCrunch：AI（RSS）AI score 44/100

Google tests buying from Walmart-owned Flipkart through Gemini and AI Mode in India

Google has started testing a way for shoppers in India to buy products from Walmart-owned Flipkart directly through Gemini and AI Mode, as the search giant looks to expand its AI services from product discovery into transactions. Users in the test see a Buy button on select Flipkart product listings appearing in Gemini and Google’s AI Mode, which takes them directly to a Flipkart checkout flow without leaving the AI interface, according to people familiar with the matter and as seen by TechCrunc
2 stories
The Decoder：AI News（RSS）AI score 50/100

Another Google Deepmind researcher quits, says building superintelligent AI soon is "inherently irresponsible"

It's barely news at this point, but another Google researcher has quit over AI risks. Robert O'Callahan, a technical expert at Google DeepMind in New Zealand, says AI's "current rate of change is far too high." He worked on chip design tools that helped make AI cheaper and faster, a contribution he says he can no longer justify. O'Callahan calls the risk from superintelligent AI "real but uncertain" and says "aiming for ASI in the near future is inherently irresponsible." He also warns of cognit
Google Cloud：Databases（RSS）AI score 43/100

Unlock 3x QPS and microsecond latency with Memorystore for Valkey 9.1

At Google Cloud, we are committed to delivering the best managed experience backed by open source software. Today, we’re announcing the general availability of Memorystore for Valkey 9.1, which achieves up to 3x queries per second (QPS) at microsecond latency compared to Memorystore for Redis Cluster. Our support for Valkey dates back to 2024, when Redis Inc. shifted its licensing away from the permissive open-source BSD license to a dual-license model. In response, Google Cloud, alongside other
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The Verge：AI（RSS）AI score 41/100

Can Apple Home’s AI camera features outsmart Amazon’s and Google’s? I put them to the test

A few years back, I was at a beachside Easter egg hunt, watching my kids dash through sand dunes searching for sweet treats. My phone buzzed in my pocket; I ignored it. A moment later, it buzzed again. I pulled it out, glanced down, and saw a “motion detected” notification from my security camera. “Just my dog in the yard,” I thought, dismissing it.As the colorful eggs piled up in the baskets, my phone kept buzzing. Reluctantly, I pulled it out again and saw several more “motion detected” alerts
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X：Sundar Pichai (@sundarpichai)AI score 65/100

Today we’re introducing a new 3.8 Flash model, our 3rd Flash release in just 6 wks. It delivers sig...

Google 发布 Gemini 3.8 Flash，为 6 周内第 3 次 Flash 更新。官方称相较 3.7 Flash 在软件工程、智能体任务和多步推理上有显著提升，在 DeepSWE v1.1 上以更低成本自主端到端解决复杂工程问题，表现超越多数更大的前沿模型。图中基准显示其 Terminal-bench 2.1 得 89.4%、HLE-Verified 得 54.9%，输入价格 $0.75/1M tokens、输出 $3.75/1M tokens，为 2026 年 12 月 31 日前 introductory 价。详情见 https://blog.google/innovation-and-ai/models-and-research/gemini-models/3-8-flash-and-3-8-flash-cyber/
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