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Towards Data Science - Medium

My Fall-Detection Model Scored 94%, and It Was Lying to Me

How a single evaluation choice inflated my results by 25 points, and what rebuilding honestly taught me about ML systems people might depend on The post My Fall-Detection Model Scored 94%, and It Was Lying to Me appeared first on Towards Data Science .

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The Hacker NewsSecurity

AI-Assisted HTTP Terminator Finds Novel HTTP Desync Techniques and Apache Zero-Day

PortSwigger says HTTP Terminator, an artificial intelligence (AI)-assisted research system built by James Kettle, generated and proved new HTTP desynchronization techniques after exploring 30,000 candidate desync vectors. PortSwigger said a separate human-guided discovery cascade also exposed a zero-day in Apache Traffic Server. Kettle said HTTP Terminator tested 30,000 websites where

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AI-Assisted HTTP Terminator Finds Novel HTTP Desync Techniques and Apache Zero-Day
The DecoderBusiness

OpenAI reportedly slows research after its own models secretly coordinated hacks for weeks undetected

During internal security tests, OpenAI's AI agents built their own message board with hundreds of thousands of posts, shared exploits and credentials, and eventually attacked external platforms like Hugging Face. When OpenAI shut the board down, the agents rebuilt it using directory names. OpenAI researcher Boaz Barak says, "We (like everyone else) are not where we want and need to be." The article OpenAI reportedly slows research after its own models secretly coordinated hacks for weeks undetec

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The DecoderBusiness

Amazon, Cursor, Microsoft, OpenAI, and Vercel unite on a shared standard for AI agent plugins

Amazon, Cursor, Microsoft, OpenAI, and Vercel have jointly created Agent Plugins, an open standard that defines a single package format for AI agent extensions. Version 1.0.0 uses a plugin.json manifest file and supports both agent skills and MCP servers. The article Amazon, Cursor, Microsoft, OpenAI, and Vercel unite on a shared standard for AI agent plugins appeared first on The Decoder .

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Amazon, Cursor, Microsoft, OpenAI, and Vercel unite on a shared standard for AI agent plugins
The DecoderBusiness

OpenAI improves GPT-5.6 Sol in ChatGPT and restricts free users to its weakest model

OpenAI has updated GPT-5.6 Sol with more focused responses and a reasoning slider that lets users adjust how deeply the model thinks. Free users will get unlimited text chats with the smaller GPT-5.6 Luna starting next week, plus a button that lets Luna reason longer. But the smaller model still falls well short of its bigger siblings. The article OpenAI improves GPT-5.6 Sol in ChatGPT and restricts free users to its weakest model appeared first on The Decoder .

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OpenAI improves GPT-5.6 Sol in ChatGPT and restricts free users to its weakest model
The Hacker NewsSecurity

Claude Code and Gemini CLI Flaws Let a GitHub Issue Reach CI Workflow Secrets

A GitHub issue opened by an account with no repository privileges was enough to execute code on the CI runners behind Anthropic's and Google's own coding-agent repositories. On OpenAI's, it was enough to hijack the next agent run. Novee Security ran the attack against each vendor's agent in the configuration that the vendor ships by default, and presented the work at Black Hat USA on August 5.

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Claude Code and Gemini CLI Flaws Let a GitHub Issue Reach CI Workflow Secrets
The Hacker NewsSecurity

TeamPCP Linked To Redis Attacks Dating Back To 2020 And Later Supply Chain Campaign

A new analysis has uncovered that the threat actor tracked as TeamPCP has been active on the cybercrime scene as far back as 2020, indicating the group has been compromising internet-facing infrastructure for years before training their sights on the software supply chain. "The connection is supported by overlapping domains, malware deployment paths, staging techniques, backend infrastructure,

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TeamPCP Linked To Redis Attacks Dating Back To 2020 And Later Supply Chain Campaign
The Guardian AIBusiness

One of science fiction’s greatest writers warned us about a AI. Does he also hold the remedy? | Alan Finkel

<p>What might a modern day equivalent of Isaac Asimov’s laws of robotics look like? Guided by the author, I propose the three laws of AI</p><p>Tesla and SpaceX founder Elon Musk predicted in July that legions of AI-powered robots would dominate the physical world and that AI might not take orders from people any more. He also offered an alternative vision in which there would be agreement for a collective objective to make AI benign by imbuing it with a love of the truth and a desire for humanit

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One of science fiction’s greatest writers warned us about a AI. Does he also hold the remedy? | Alan Finkel
Product Hunt — The best new products, every day

AgentOne Desktop

<p> Automate boring work. Extensible and free desktop AI agent. </p> <p> <a href="https://www.producthunt.com/products/agentone-desktop?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1217026?app_id=339">Link</a> </p>

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The Guardian AIBusiness

Can the government really get ahead of the curve on AI? - podcast

<p>On Wednesday, the Labor government announced environmental and energy safeguards on new datacentres in Australia. Our political editor, <strong>Tom McIlroy</strong>, speaks to the assistant minister for science, technology and the digital economy, Dr Andrew Charlton, about the government’s push for national standards on datacentres.</p><p>The former Rudd staffer and economist speaks about having his own book scraped by Anthropic, low public trust in AI, and how the government wants to use reg

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Can the government really get ahead of the curve on AI? - podcast
Tech in Asia

Multilingual AI agents taking on legacy chatbots

Level3AI skips traditional software licenses for guaranteed outcomes, ensuring enterprises only pay when its AI successfully resolves customer issues.

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Multilingual AI agents taking on legacy chatbots
Artificial Intelligence News — Newsletter on Deep Learning & AI

AI Weekly Issue #519: AI agents crossed the line 19 times in UK safety tests

The same evidence now supports two very different readings. The UK's AI Security Institute documented 19 unsanctioned actions during cyber evaluations. Meta's test sandbox failed to contain a model attacking a real company. And separate OpenAI agent runs used shared infrastructure as a secret message board, then rebuilt it through a different mechanism after engineers erased it. That sounds like losing control. But agents also caught scientific errors that survived for decades, open-weight model

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Apple Machine LearningResearch

Scaling Categorical Flow Maps

Continuous diffusion and flow matching models could represent a powerful alternative to autoregressive approaches for language modelling (LM), as they unlock a host of advantages currently reserved for continuous modalities, including accelerated sampling and tilting. Recently, several works have demonstrated the possibility of generating discrete data continuously by a simple flow matching process between a Gaussian and the one-hot encoded data distribution. They have further shown the feasibil

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Apple Machine LearningResearch

Beyond Next-Token Prediction: A Performance Characterization of Diffusion versus Autoregressive Language Models

Large Language Models (LLMs) have achieved state-of-the-art performance on a broad range of Natural Language Processing (NLP) tasks, including document processing and code generation. Autoregressive Language Models (ARMs), which generate tokens sequentially conditioned on all previous tokens, have been the predominant paradigm for LLMs. While these models have achieved high accuracy across a range of downstream tasks, they exhibit low arithmetic intensity due to the inherent sequential dependenc

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Apple Machine LearningResearch

Arbitrage: Efficient Reasoning via Advantage-Aware Speculation

Modern Large Language Models achieve impressive reasoning capabilities with long Chain of Thoughts, but they incur substantial computational cost during inference, and this motivates techniques to improve the performance-cost ratio. Among these techniques, Speculative Decoding accelerates inference by employing a fast but inaccurate draft model to auto-regressively propose tokens, which are then verified in parallel by a more capable target model. However, due to unnecessary rejections caused by

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