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DuckDuckGo installs are up 30% as users reject being β€˜force-fed’ Google’s AI Search

27 May 2026 at 06:32
Google overhauled Search at I/O 2026, replacing blue links with AI agents. The backlash has been swift. DuckDuckGo app installs spiked 30% as users seek a way out.

Google Expands SynthID Adoption for AI Watermarking, Previews Content Detection API

26 May 2026 at 17:00

Google's SynthID, designed to embed imperceptible signals into AI-generated content, is adding a new Content Detection API on Google Cloud's Gemini Enterprise Agent Platform, after gaining adoption by several industry players including Nvidia and OpenAI.

By Sergio De Simone

Gemma 4 Multi-Token Prediction Delivers up to ~3x Faster Token Generation

25 May 2026 at 17:00

Gemma 4 can be paired with multi-token prediction (MTP) drafters that use speculative decoding to generate multiple tokens in parallel, allowing the model to verify them in a single pass and achieve up to ~3Γƒβ€” faster inference without quality loss.

By Sergio De Simone
  • βœ‡InfoQ
  • Google Introduces Middleware Architecture for Genkit Applications Robert KrzaczyΕ„ski
    Google has introduced Middleware for Genkit, its open-source framework for building AI-powered and agentic applications. The update adds a programmable interception layer around model calls, tool execution, and generation loops, giving developers more control over reliability, safety, and orchestration inside production AI systems. By Robert KrzaczyΕ„ski
     

Google Introduces Middleware Architecture for Genkit Applications

25 May 2026 at 01:55

Google has introduced Middleware for Genkit, its open-source framework for building AI-powered and agentic applications. The update adds a programmable interception layer around model calls, tool execution, and generation loops, giving developers more control over reliability, safety, and orchestration inside production AI systems.

By Robert KrzaczyΕ„ski
  • βœ‡AI News
  • Anthropic keeps new AI model private after it finds thousands of external vulnerabilities Dashveenjit Kaur
    Anthropic’s most capable AI model has already found thousands of AI cybersecurity vulnerabilities across every major operating system and web browser. The company’s response was not to release it, but to quietly hand it to the organisations responsible for keeping the internet running. That model is Claude Mythos Preview, and the initiative is calledΒ Project Glasswing. The launch partners include Amazon Web Services, Apple, Broadcom, Cisco, CrowdStrike, Google, JPMorganChase, the Linux Fou
     

Anthropic keeps new AI model private after it finds thousands of external vulnerabilities

9 April 2026 at 20:00

Anthropic’s most capable AI model has already found thousands of AI cybersecurity vulnerabilities across every major operating system and web browser. The company’s response was not to release it, but to quietly hand it to the organisations responsible for keeping the internet running.

That model is Claude Mythos Preview, and the initiative is calledΒ Project Glasswing.

The launch partners include Amazon Web Services, Apple, Broadcom, Cisco, CrowdStrike, Google, JPMorganChase, the Linux Foundation, Microsoft, Nvidia, and Palo Alto Networks.Β 

Beyond that core group, Anthropic has extended access to over 40 additional organisations that build or maintain critical software infrastructure. Anthropic is committing up to US$100 million in usage credits for Mythos Preview across the effort, along with US$4 million in direct donations to open-source security organisations.Β 

A model that outgrew its own benchmarks

Mythos Preview was not specifically trained for cybersecurity work. Anthropic said the capabilities β€œemerged as a downstream consequence of general improvements in code, reasoning, and autonomy”, and that the same improvements making the model better at patching vulnerabilities also make it better at exploiting them.Β 

That last part matters. Mythos Preview hasΒ improvedΒ to the extent that it mostly saturates existing security benchmarks, forcing Anthropic to shift its focus to novel real-world tasks–specifically, zero-day vulnerabilities. These flaws were previously unknown to the software’s developers.Β 

Among the findings: a 27-year-old bug in OpenBSD, an operating system known for its strong security posture. In another case, the model fully autonomously identified and exploited a 17-year-old remote code execution vulnerability in FreeBSD–CVE-2026-4747–that allows an unauthenticated user anywhere on the internet to obtain complete control of a server running NFS. No human was involved in the discovery or exploitation after the initial prompt to find the bug.Β 

Nicholas Carlini from Anthropic’s research team described the model’s ability to chain together vulnerabilities: β€œThis model can create exploits out of three, four, or sometimes five vulnerabilities that in sequence give you some kind of very sophisticated end outcome. I’ve found more bugs in the last couple of weeks than I found in the rest of my life combined.” 

Why is it not being released?

β€œWe do not plan to make Claude Mythos Preview generally available due to its cybersecurity capabilities,” Newton Cheng, Frontier Red Team Cyber Lead at Anthropic, said. β€œGiven the rate of AI progress, it will not be long before such capabilities proliferate, potentially beyond actors who are committed to deploying them safely. The fallout–for economies, public safety, and national security–could be severe.” 

This is not hypothetical. Anthropic had previously disclosed what it described as the first documented case of a cyberattack largely executed by AI–a Chinese state-sponsored group that used AI agents to autonomously infiltrate roughly 30 global targets, with AI handling the majority of tactical operations independently.Β 

The company has also privately briefed senior US government officials on Mythos Preview’s full capabilities. The intelligence community is nowΒ activelyΒ weighing how the model could reshape both offensive and defensive hacking operations.Β 

The open-source problem

One dimension of Project Glasswing that goes beyond the headline coalition: open-source software. Jim Zemlin, CEO of the Linux Foundation, put it plainly: β€œIn the past, security expertise has been a luxury reserved for organisations with large security teams. Open-source maintainers, whose software underpins much of the world’s critical infrastructure, have historically been left to figure out security on their own.”

Anthropic hasΒ donatedΒ US$2.5 million to Alpha-Omega and OpenSSF through the Linux Foundation, and US$1.5 million to the Apache Software Foundation–giving maintainers of critical open-source codebases access to AI cybersecurity vulnerability scanning at a scale that was previously out of reach.

What comes next

Anthropic says its eventual goal is to deploy Mythos-class models at scale, but only when new safeguards are in place. The company plans to launch new safeguards with an upcoming Claude Opus model first, allowing it to refine them with a model that does not pose the same level of risk as Mythos Preview.Β 

The competitive picture is already shifting around it. When OpenAI released GPT-5.3-Codex in February, the company called it the first model it had classified as high-capability for cybersecurity tasks under its Preparedness Framework. Anthropic’s move with Glasswing signals that the frontier labs see controlled deployment–not open release–as the emerging standard for models at this capability level.

Whether that standard holds as these capabilities spread further is, at this point, an open question that no single initiative can answer.

See Also: Anthropic’s refusal to arm AI is exactly why the UK wants it

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The post Anthropic keeps new AI model private after it finds thousands of external vulnerabilities appeared first on AI News.

Google Brings MCP Support to Colab, Enabling Cloud Execution for AI Agents

9 April 2026 at 16:30

Google has released the open-source Colab MCP Server, enabling AI agents to directly interact with Google Colab through the Model Context Protocol (MCP). The project is designed to bridge local agent workflows with cloud-based execution, allowing developers to offload compute-intensive or potentially unsafe tasks from their own machines.

By Robert KrzaczyΕ„ski

Google Open Sources Experimental Multi-Agent Orchestration Testbed Scion

7 April 2026 at 16:00

Designed to manage concurrent agents running in containers across local and remote compute, Scion is an experimental orchestration testbed that enables developers to run groups of specialized agents with isolated identities, credentials, and shared workspaces.

By Sergio De Simone

AI companies are building huge natural gas plants to power data centers. What could go wrong?

4 April 2026 at 03:48
Meta, Microsoft, and Google are all betting big on new natural gas power plants to run their AI data centers. They may regret it.

Google unveils TurboQuant, a new AI memory compression algorithm β€”Β and yes, the internet is calling it β€˜Pied Piper’

26 March 2026 at 04:38
Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises to shrink AI’s β€œworking memory” by up to 6x, but it’s still just a lab experiment for now.

Lawyer behind AI psychosis cases warns of mass casualty risks

14 March 2026 at 08:01
AI chatbots have been linked to suicides for years. Now one lawyer says they are showing up in mass casualty cases too, and the technology is moving faster than the safeguards.

YouTube expands AI deepfake detection to politicians, government officials, and journalists

10 March 2026 at 22:00
YouTube's AI deepfake detection tool is becoming available to politicians, journalists, and officials, letting them flag unauthorized likenesses for removal.

Google rolls out new Gemini capabilities to Docs, Sheets, Slides, and Drive

10 March 2026 at 21:00
The idea behind the new features is to make the apps more personal and capable to help users get things done faster, right within the platforms themselves.
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