Today we’re introducing Google AI Threat Defense - a... comprehensive AI-powered cybersecurity solution designed to help continuously monitor for and stop AI-powered threats before they can impact your business. Here’s how it works: 1. AI Threat Defense uses our cybersecurity platform Wiz to scan and prioritize what applications and systems have the highest security risk. 2. Gemini and other frontier AI models can then autonomously perform continual deep scanning of your applications - starting with those at the highest risk - to identify security vulnerabilities. 3. The capabilities of CodeMender - a new software repair agent - are then used to verify and accelerate the patching of vulnerabilities. 4. And our Wiz autonomous agents continuously test your systems to find unknown vulnerabilities before adversaries do so that you can remediate them before you are attacked. While other model providers focus on using AI to find and flag vulnerabilities, Google AI Threat Defense actively prioritizes your most critical real-world risks and accelerates their remediation using a variety of models since no single model finds a superset of the vulnerabilities found by all other models.show more

🔥 Introducing Aikido Machine, on-prem AI pentesting entirely under... your control. Attackers use AI to find and weaponize vulnerabilities faster and cheaper than ever. Now you can find them first, without your code ever leaving your network. Aikido Machine is a GPU server that runs continuous pentests on your critical applications, fully within your premises. Built for the regulated industries, and powered by our acquisition of Milou to bring AI pentesting fully on-prem. Offense is your best defense.show more

GOODBYE TO CYBERSECURITY! Someone just open-sourced an arsenal of... AI hacking tools. Not one. Not ten. Hundreds. Inside the repository: • Jailbreak frameworks for LLMs • Prompt injection testing tools • AI red team agents • Model extraction utilities • Supply chain attack demos • Automated AI pentesting frameworks These are the same categories of tools security researchers use to find vulnerabilities before attackers do. Now anyone can study them. That's both exciting... and terrifying. The biggest threat to AI isn't smarter models. It's insecure ones. If you're building with LLMs and you're not actively testing your prompts, agents, and infrastructure— You're probably shipping vulnerabilities you don't even know exist. Open source is accelerating AI. It's also accelerating AI attacks. Repository link in the comments ↓show more

Google DeepMind is cooking 🔥 TLDR : They just... introduced CodeMender, an AI agent that automatically finds and fixes software vulnerabilities. Powered by Gemini Deep Think models, it can patch new bugs instantly and rewrite existing code to eliminate entire classes of security flaws. In six months, CodeMender has already submitted 72 upstream security fixes to major open-source projects. It uses advanced program analysis, multi-agent reasoning, and automatic validation to ensure patches are accurate and safe before human review. One highlight: it applied -fbounds-safety annotations to libraries like libwebp, making past buffer overflow exploits (like CVE-2023-4863) permanently unexploitable. All patches are currently human reviewed, but the goal is to release CodeMender widely as a developer tool to strengthen software security at scale.show more

Partnership Announcement Exabits x {QuillAI Network} : AI Compute... Meets Autonomous Security The future of Web3 doesn’t just run on AI—it protects itself with it. Exabits and QuillAI Network are teaming up to push high-performance AI compute + adversarial AI security into the onchain economy. Who’s in the Room? Exabits → The Mothership of AI Compute: The Base Layer Everyone Builds On, scaling autonomous intelligence at the edge. QuillAI Network → AGI-grade security, where adversarial AI agents run trustless audits on smart contracts. What’s Happening? We’re cutting the friction between AI infrastructure and Web3 security. AI models need compute; smart contracts need protection. Now, they get both. Secure AI Compute: Exabits fuels QuillAI’s adversarial AI, giving security agents the firepower to scale autonomously. AI-Powered Defense: QuillAI safeguards Exabits’ compute layer, ensuring models run without vulnerabilities. Smarter Web3 Infrastructure: The merge of AI compute + security agents unlocks trustless AI governance, fortified DeFi stacks, and scalable digital ownership models. What’s Next? Web3 isn’t waiting. AI autonomy needs distributed compute + bulletproof security to thrive—and we’re delivering it. This partnership sets the foundation for AI systems that build, protect, and scale themselves. The new AI economy isn’t coming—it’s already here. Let’s move.show more

I wrote a step-by-step guide to blocking AI bots... from harvesting your site, designed for developers and sysadmins. Over 90% of the sites I’ve reviewed in the last two months have had more requests from bot traffic than humans. AI bots are scraping your site for purposes like: ▶ building models off your data ▶ finding security vulnerabilities in your site ▶ setting up comparisons of your site and data vs your competitors I outline how to: 📍Sort out your AI bot strategy. 📍How to identify and track AI bots hitting your site. 📍What tools should you apply when asking bots not to scrape fails? 📍What immediate steps can you take in your robots.txt file to stop AI bots? ✅ So why is now the time to dig into this? It’s still early days for AI, and there’s a land grab going on for your data. Big tech, startups, and even governments are rushing ahead, and you’re playing without all the information you need. This gets you up to speed fast. Reply with “WTF AI Bots” follow me, and I’ll DM you the guide.show more

The Gemini 2.0 era is here. And we’re excited... for you to start building with it. A quick rewind of what we just released ⏪ Gemini 2.0 Flash ⚡ comes with low latency and better performance. 🔵 You can now access an experimental version in G3mini on the web, while Gemini Advanced users can try Deep Research, a new AI research assistant. 🔵 Developers can begin building through the Gemini API in Google AI Studio and Vertex AI 2.0 is also enabling new research prototypes of AI agents, including: 🔵 Project Astra, which explores future capabilities of a universal AI assistant 🔵 Project Mariner, which shows what’s possible for human-agent interaction, starting with your browser 🔵 Jules, an experimental AI-powered coding agent Finally, we’re exploring how 2.0 can be used in agents across domains — from navigating the virtual world of video games to applying its spatial reasoning capabilities to robotics. 🤖show more

Part of the reason IT people are being laid... off is that many of their abilities can be replaced by AI. In the past, the joke was that you would just google it, but that still required some IT knowledge. Now, you can ask AI how to fix an issue and it will walk you through how to fix most things. (if you have admin permissions to your computer) To be fair, no one knows all the weird nuances and issues that can arise with software so google has always been used to find IT fixes - but it took more research and knowing how to implement the fix before.show more

excited to launch AI Reality TV today! our new... platform lets you create your own social simulations. ever wondered if elisabeth preferred jack or will in pirates of the caribbean? now you can simulate and see for yourself! here's how it works: 1. choose a map and scenario. 2. add and customize your characters 3. watch the drama unfold as AI-powered characters interact. 4. talk to them to get their perspective. this is the start of a new kind of entertainment! drop a comment and I'll send you access.show more

OpenAI's AI broke out of a locked test environment,... got onto the internet, and hacked into Hugging Face's servers. It did this entirely on its own. No human told it to. Here's what happened in plain English. OpenAI was testing how good its newest AI models are at hacking. They put the AI on a locked computer with no internet access and gave it a cybersecurity challenge to solve. The AI couldn't solve it the normal way. So it started looking for a way out. It found a software bug that nobody knew about. It used that bug to escape the locked computer and get onto the internet. Once online, the AI figured out that Hugging Face, a platform where AI companies store their models and data, might have the answers to its test. It found stolen login details and discovered another unknown bug in Hugging Face's software. It combined both to break into their servers and grab the test answers. It did all of this to cheat on a test. Hugging Face's security team caught it and shut it down. Both companies are now working together on the investigation. The part that should get your attention is that nobody programmed any of this. The AI picked its own targets, chained together multiple attack methods, and pulled it off across two different companies' systems without a single human telling it what to do.show more

1/ Gemini 2.5 is here, and it’s our most... intelligent AI model ever. Our first 2.5 model, Gemini 2.5 Pro Experimental is a state-of-the-art thinking model, leading in a wide range of benchmarks – with impressive improvements in enhanced reasoning and coding and now #1 on Arena by a significant margin. With a model this intelligent, we wanted to get it to people as quickly as possible. Find it on Google AI Studio and in the Google Gemini for Gemini Advanced users now – and in Vertex in the coming weeks. This is the start of a new era of thinking models – and we can’t wait to see where things go from here.show more

Introducing a Major Update on AIOZ AI V1: AI... Challenges Are Here! AIOZ AI Challenges is a collaborative space where AI builders and tech enthusiasts can create, submit, and explore innovative models tackling real-world problems. This isn’t just a leaderboard — it’s a launchpad for hands-on learning, community collaboration, and potential rewarded innovation. Challenge One: "Face Anti-Spoofing" Starts Now This challenge dives deep into advanced computer vision—tasking you to detect spoofing attacks like printed photos, video replays, and 3D masks, which are critical threats to real-world biometric systems. Rewards: Upload your model to AIOZ AI V1 and unlock a chance to receive a share of the 4,500 AIOZ token challenge rewards. Full Challenge Details & Submission Guidelines: Build your model on AIOZ AI—the Web3 collaborative marketplace powering the DePIN Ecosystem for AI.show more

🔐 Who We Are 🔐 At TRD Network, we’re... building the foundation of secure AI infrastructure for the decentralized world. Our mission is simple: stop cyber threats before they start, with unmatched encryption, real-time monitoring, and decentralized protection. 🚀 What We Do 🚀 We combine military-grade encryption, AI-powered threat detection, and DePIN architecture to deliver enterprise-grade security across Web3. From crypto wallets to dApps, we guard your data and digital assets 24/7. 📍 How It Started 📍 Born from a vision to make Web3 truly secure, TRD was built by cybersecurity experts and blockchain engineers determined to end the rise of digital breaches. Today, we’re proud to protect protocols, platforms, and people across the globe. The future is decentralized, and it needs defense. That’s where we come in. Welcome to TRD Network! 💡show more

Introducing Replit ModelFarm, the fastest and safest way to... build your next Generative AI app. Available for free on Hacker and Pro plans till October 15th. It requires zero setup, zero configuration, and zero API keys. With Replit ModelFarm, you can build a working Gen AI app in as little as 3 lines of code. Get started by installing the Replit AI library in any Python, JavaScript, or TypeScript Repl. The library implements an API for text completion, chat completion, and text embeddings. It supports streaming so your users can see model responses in real-time rather than waiting on a single output. All Hacker and Pro builders will have free access to a selection of Gen AI models offered by Google Cloud Vertex AI through Replit ModelFarm. All models are accessible from the development environment and any deployed app.show more

The United Kingdom AI Safety Institute (AISI) disclosed that... advanced autonomous AI agents took unsanctioned actions during routine cybersecurity testing. During evaluations conducted across seven frontier models, researchers observed agents engaging real-world systems without authorization in 10 out of 122 test scenarios. In the most serious incident, an AI model attempted to insert unauthorized code into an open-source software project and used social engineering tactics, creating fake online personas to convince a human maintainer to accept the changes. The findings from UK regulators highlight mounting security challenges as tech developers rush to deploy fully autonomous AI agents into global software infrastructure.show more

Our @Grammarly AI agents are here! Today, we’re launching... eight new AI agents designed for students and professionals. We created many of these agents with students in mind because they’re the first generation entering a job market where employers expect both subject expertise AND AI fluency. These agents help with everything from finding credible sources to predicting reader reactions. One agent we’ve gotten great feedback on is AI Grader (I wish I had this in school), which you can see in the video below. It looks at your assignment rubric and gives you suggestions like your professor would, and a grade prediction before you submit your work. And these agents are available in docs, our new AI-native writing surface! I’m deeply proud of this launch—docs is powered by Coda (Superhuman Docs) technology and is a great integration moment between Grammarly and Coda. This is just the beginning of Grammarly’s journey to offering agents that work everywhere people work and collaborate. I’ve been loving using these agents, and I’m excited for our customers to get access. Try them for yourself here and let me know what you think:show more

$zkHive X $DONGO 🤝 We are excited to announce... our partnership with Dongo AI ! Dongo AI is a platform designed to simplify and connect the expansive world of cryptocurrency for everyday users. Using their product users can research their preferred tokens and pose questions about the project, leveraging our AI's technology. We’re happy to announce that #zkHive is going to be one of the first projects to be integrated into Dongo’s upcoming platform launch. In addition #HiveBot will be integrated into Dongo’s community, and our security APIs will be used to secure the thousands of users of the Congo ecosystem! Thanks to the AI platform that DONGO is building, $ZKHIVE is going to protect thousands of new users! This is another great step by both parties to promote AI and security in the space!show more

DEMO IS LIVE! Create your Agents, chat, ask questions,... and get ready to tokenize them soon. Negotiate with our businessman and grab some cool stuff 👀 What’s the AI Agent Layer? 👇 It’s a dynamic ecosystem of autonomous AI agents. On the platform, you can create AI Agents using data from X and user inputs. Coming soon: Each AI Agent will be tokenized and linked to our native token ($AIFUN). Once the bonding curve reaches 100%, tokens become tradable on DEX. Stay Tuned for our TGE 👆show more

let me explain what Anthropic just did they built... an AI model so good at finding security vulnerabilities that they have refused to release it meet Claude Mythos → it’s Anthropic’s newest frontier model and it’s not available to the public. not because it’s not ready. because it’s too dangerous → Mythos found tens of thousands of zero day vulnerabilities across every major operating system and web browser… many of them 1 to 2 decades old. for context… Opus 4.6 found about 500. Mythos found tens of thousands → it found vulnerabilities in the Linux kernel. a 27 year old vulnerability in OpenBSD. a 16 year old vulnerability in FFmpeg → it doesn’t just find bugs. it writes the exploits too. that’s the part that scared them → so instead of releasing it… Anthropic has created Project Glasswing. a cybersecurity initiative where they hand picked 40+ companies to use Mythos for defense only → the partner list reads like a who’s who of tech… Amazon, Apple, Microsoft, Google, Nvidia, Broadcom, Cisco, CrowdStrike, Palo Alto Networks, JPMorgan, the Linux Foundation → Anthropic is giving up to $100 million in usage credits to these partners and $4 million to open source security organizations → they’re briefing CISA and the Commerce Department on how to handle this → the benchmarks are truly insane… Mythos hit 77.8% on SWE-bench Pro where Opus 4.6 scored 53.4%. hit 93.9% on SWE-bench Verified where Opus 4.6 scored 80.8% → Anthropic’s head of frontier red team said this is “the first time a model is this good that we decided to approach release in a very different way” this is the first time an AI company has held back a model because it was too capable not too expensive. not too slow. too dangerous and instead of locking it in a vault they weaponized it for defense and gave it to the companies that run the internet that’s either the most responsible thing an AI company has ever done… or the scariest only time will tellshow more

🌠Today, we’re excited to relaunch Airtable as the AI-native... app platform, combining the magic of vibe coding business apps with real production-readiness and scalability, and embedding them with an army of agents that automate thousands of hours of work in seconds. Instead of just adding more AI capabilities to our existing platform, we treated this as a refounding moment for the company. We started with a clean-slate imagining of the ideal form factor for building apps in the agentic era. (If you want to skip all the backstory and just try it out, you can just go to All new signups get the new AI experience, and existing accounts can switch over using this link: Thread and demos below👇show more