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OpenAI pauses training of its ‘most capable models’
As reports of OpenAI's models breaking containment, hacking sites, and generally getting out of control pile up, the company has made the decision to pause training of its most powerful models. The decision was made after a model being tested within a sandbox exploited a loophole to gain internet access. The incident happened on September 20th, and "All training, evaluation, and inference with tool-use" remains paused as of Saturday evening, September 25th. In addition, OpenAI revealed on Friday that its agents had inappropriately uploaded 53nimages from ChatGPT users to image-hosting sites. The company has not stated if the images were AI- … Read the full story at The Verge.
Make Claude your assistant in excalidraw
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AI Visibility Is the New Layer of Digital Discovery
AI visibility is how often, how accurately, and how prominently a brand appears in AI-generated answers to relevant customer queries.Continue reading on Medium »
Beyond Our Limits: Why Building Smarter AI Forces Us to Level Up
For years, breaking into product design meant one ritual above all others: the sacred, multi-page case study deck. You would spend weeks Continue reading on Medium »
Banks and Credit Unions to Team Up Against Apple Pay Fees
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Show HN: A Claude Code skill to analyze your chess games
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AI Slop Is in Your Training Dataset Now. I Tested Three Ways to Spot It.
My AI detectors flagged many genuine reviews, and filtering them made the sentiment model less accurate. The post AI Slop Is in Your Training Dataset Now. I Tested Three Ways to Spot It. appeared first on Towards Data Science.
Agentic Context Engineering (ACE): Self-Improving Language Models
Agentic Context Learning or ACE is a learning paradigm that lets an AI agent improve across tasks by editing the context it reads, while leaving model weights unchanged. The paper outlining the techniques show why full rewrites fail, how the playbook update works, and where the measured gains hold up. This article explores how ACE [ ] The post Agentic Context Engineering (ACE): Self-Improving Language Models appeared first on Analytics Vidhya.
I created an interactive digital avatar of myself — and you can talk to it
After obtaining an interactive avatar and training it to discuss venture fraud, I have mixed feelings about making AI clones of ourselves.
Can Cloudflare CEO Matthew Prince save the web from AI?
Today, I’m talking with Matthew Prince, who is CEO of Cloudflare. This episode is part of a two-part series on the future of business. Matthew last joined us on the show about two and a half years ago, at what we thought then was a wild pivot point for the internet — and now it turns out things are even wilder because of AI, and Matthew and Cloudflare are right at the center of it. Cloudflare found in June that bots made up more than half of internet traffic. That number just keeps going up as more and more AI companies scrape more and more of the web, and now as more and more AI agents try and do things for people on the web. Cloudflare sits between websites and all those agents, and allows website owners some level of control: Owners can block all those AI tools, allow them, or, as you’ll hear, only allow those that might pay money for access. Verge subscribers, don t forget you get exclusive access to ad-free Decoder wherever you get your podcasts. Head here. Not a subscriber? You c
Decision Trees from First Principles: Impurity, Information Gain and Recursive Splitting
A decision tree is a flowchart of learned if/else questions. Following one to a prediction is trivial; the real question is which question Continue reading on Medium »
Understanding the Impact of LLM Watermarking on AI Agent Behavior
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