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Anthropic is offering free, fully model-generated security scans to eligible open source projects through a new program called OSS Scanner, with reports delivered without human triage. Early testers say the findings were mostly valid, though the company admits some reports will be wrong.
- Anthropic's models found over 29,000 candidate vulnerabilities in six months, but only about 6,000 have been manually reviewed, so human review is the bottleneck.
- OSS Scanner reports go out unverified, but in a pilot, 85 of 97 critical and high-severity findings (88%) met the bar for Anthropic's disclosure process, and only one was a false positive.
- Eligible projects get reports with a reproducer, an explanation, and often a candidate patch; several maintainers said the reports were high quality, and some chained bugs into unauthenticated remote code execution.
This is a news digest from The Register covering major developments across AI, infrastructure, security, and open source — including TSMC's US expansion, Microsoft's AI agent plans, Russian phishing campaigns, and various software releases.
- TSMC is partnering with GlobalFoundries on a $2B deal to boost US production of silicon interposers needed for AI datacenter chips
- Microsoft is integrating Copilot agents into Windows file systems and replacing Intel processors with Nvidia SoCs in Surface Laptop Ultra, starting at $2,599
- Russian attackers are impersonating Signal support to run phishing campaigns, and Microsoft's SharePoint on-premises servers are under active zero-day attack with unpatched vulnerabilities
- Ubuntu's new beta adds Rust components and LLM-based speech-to-text; Firefox 157 gets a significant visual redesign; KDE turns 30 with an AI-native desktop proposal
Meta released open-source code so anyone can build their own Muse AI gadgets using ESP32 boards or Raspberry Pis, and is also giving away 5,000 of its own Muse Home Link device to control smart home devices. The company is essentially letting hobbyists turn the AI agent into whatever form factor they want.
- Meta open sourced SDKs for Muse so developers can load it onto off-the-shelf hardware like E Ink displays, HDMI sticks, or touchscreens
- The company manufactured 5,000 Muse Home Link gadgets and opened a waitlist for free units shipping this month
- Muse Home Link can control lights, TVs, printers, and other devices through community-built skills
The Looking Glass is a browser-based tool that uses AI to generate images and short films of any spot on Earth at any selected year (from the Great Dying to 3050) and hour. It offers a dial of 284 time stations, a movable sundial for light conditions, and a WebGL “wormhole” animation between eras. All processing runs client-side with local storage, no backend or account required.
- It generates AI images/video of any location on Earth at any time from 66 million years ago to the year 3050, controlled via a 284-station dial.
- Everything runs client-side with no backend or account—you supply your own OpenRouter key and data is stored locally in IndexedDB.
- It uses a WebGL wormhole shader for transitions between eras and lets you compare two time periods via swipe or blink-compare.
- It's open-source (AGPL-3.0-or-later) and includes curated presets like Pliny sailing toward Vesuvius or Apollo 11 liftoff.
Paperclip is an open-source platform that turns separate AI agents into a structured organization with roles, budgets, mission context, and audit logs. It solves coordination issues like task overlap, hidden API costs, and lost state through scheduled “heartbeats,” human approval gates, and a mission-driven context chain—all via a self-hosted CLI tool.
- Paperclip wraps AI agents in an org structure (roles, budgets, mission context, audit logs) to stop duplicated work, cost overruns, and lost state across restarts.
- It hit 43,000 GitHub stars since its March 2026 launch, signaling strong demand for agent coordination tools, not just smarter individual agents.
- Its "heartbeat" system addresses agents' lack of persistent memory by having them recheck a mission-to-task context chain each cycle rather than relying on retraining.
- Unlike LangChain or CrewAI, which build individual agents or pipelines, Paperclip manages agents collectively as a company, self-hosted under MIT license with no platform fee beyond LLM costs.
A new open-source OCR model outperformed all major commercial tools on standard text and handwriting tests. It accurately transcribed a 1913 handwritten letter by Ramanujan, preserving layout, math notation, and faint ink details.
- New open-source OCR model (Vision Transformers + glyph-aware training) beat commercial tools like ABBYY and Google Cloud Vision on IFOCR, MLT, and ICDAR benchmarks, with word-error-rates below 1.5%—30-50% better than competitors
- Successfully transcribed a faded 1913 handwritten Ramanujan letter, correctly capturing layout, math notation, and faint ink strokes
- Trained on millions of scanned pages including medieval manuscripts and dense handwritten notes
- Released under Apache license with CPU/GPU deployment scripts, enabling free text extraction from receipts, legal documents, and historical archives without per-page fees
Boltz is launching a transformative approach to drug design and biological research by combining AI and open science, enabling over 100,000 scientists to innovate faster. With a newly raised $28 million seed round and a partnership with Pfizer, Boltz aims to break down barriers in drug development through open-source models and accessible computational tools.
- Boltz raised a $28 million seed round and partnered with Pfizer to advance open-source drug design models.
- Over 100,000 scientists are already using Boltz's tools, positioning it as a widely-adopted open-science alternative to closed AI drug discovery platforms.
- The core bet is that open-source, freely accessible AI models can accelerate biological research and drug development faster than proprietary approaches.
User feedback is highly valued and taken seriously by the team. For a comprehensive list of available qualifiers, users are directed to the documentation. An error occurred while loading the page, prompting a reload.
- The page failed to load properly, so the actual leaked Anthropic system prompt content isn't accessible in this summary
- The repository (x1xhlol/system-prompts-and-models-of-ai-tools) compiles system prompts from AI tools, positioning it as a reference resource rather than original commentary