Machine Learning Research
Custom Prompts for Safer Code: A Stanford team built a pipeline to improve system prompts to build more secure code
Large language models (LLMs) can write useful code, but they often introduce security vulnerabilities.
AI Safety
Tech & Society
Fable’s Return and Fallout: How Anthropic's Claude Fable 5 got banned by the U.S. Government, then came back to the market
Claude Fable 5 and the more powerful Claude Mythos 5 are back, three weeks after Anthropic suspended the models due to an export control directive from the U.S. Department of Commerce.
Machine Learning Research
Claude Fable 5’s Benchmark Problems: Independent tests of Claude Fable 5 run into Anthropic's protective policies
Before Anthropic pulled its latest Claude models from circulation, even professional testers couldn’t readily tell whether they were getting a Mythos-class model or a lesser version under the same name.
Machine Learning Research
State Media Influences LLM Responses: Significant portions of AI training material reflect national propaganda
Popular large language models have adopted the biases of governments that control the free flow of information, particularly when those models generate output in the languages of countries where such governments are in power, researchers found.
Machine Learning Research
Behold Mythos!: Anthropic released Claude Mythos 5 and Claude Fable 5, a public version with safeguards
After months of headlines that teased a large language model with extraordinary capabilities, Anthropic launched Claude Mythos 5, which can crack software previously believed to be secure, and Claude Fable 5, a version for general use that limits what users can do in an unprecedented way.
Machine Learning Research
Cybersecurity Alarms Grow Louder: Google study shows LLM-generated malware is getting harder to track and stop
An AI-generated script to bypass two-factor authentication signals a dawning era of industrial-scale cyberattacks, according to a Google report.
Machine Learning Research
Assistants That Assist Consistently: Large language models can drift drift from helpful personas to harmful ones, but new research aims to stabilize them
Typically, large language models are trained to act as helpful, harmless, honest assistants. However, during long or emotionally charged conversations, traits can emerge that are less beneficial. Researchers devised a way to steady the assistant personas of LLMs.
Machine Learning Research
Claude Mythos Preview Raises Security Worries: Why Claude’s advanced Mythos Preview model will be limited-release-only
Anthropic took unusual steps to prepare the world for a forthcoming large language model that it said poses extraordinary risks to cybersecurity.
Machine Learning Research
Inside Claude Code: Claude Code’s source code leaked, exposing potential future features Kairos and autoDream
The inner workings of the popular coding agent Claude Code are available for all to see.
Business
Management for Agents: OpenAI’s Frontier agent insights and orchestration platform launches to select customers
Managers need to understand how their subordinates get work done, what resources they require, and what they accomplish. OpenAI’s latest product aims to fulfill this need when the teammates are AI agents.
Machine Learning Research
Agents Unleashed: Cutting through the OpenClaw and Moltbook hype
The OpenClaw open-source AI agent became a sudden sensation, inspiring excitement, worry, and hype about the agentic future.
Machine Learning Research
Training For Engagement Can Degrade Alignment: “Moloch’s Bargain” shows fine-tuning can affect social values
Individuals and organizations increasingly use large language models to produce media that helps them compete for attention. Does fine-tuning LLMs to encourage engagement, purchases, or votes affect their alignment with social values? Researchers found that it does.