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Hacker News Ask

Is it just me or does OpenAI keeps enabling memory in a clandestine way

So I always keep memory disabled. Today I logged in - and it gave me a notification for 'some customization' which I quickly dismissed. Smelling something fishy - I opened the Settings tab - and the Memory flag was enabled. Is anyone else seeing this ? Comments URL: https://news.ycombinator.com/item?id=48658824 Points: 1 # Comments: 0

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The Robot ReportRobotics

Mantis Robotics launches dual-arm, fenceless robot

Mantis said the robot allows for new flexibility in how to configure automation in complex, real-world environments. The post Mantis Robotics launches dual-arm, fenceless robot appeared first on The Robot Report .

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Mantis Robotics launches dual-arm, fenceless robot
Product Hunt — The best new products, every day

Pulse

<p> Your company's permission-aware, proactive and agentic brain </p> <p> <a href="https://www.producthunt.com/products/pulse-47?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/1179984?app_id=339">Link</a> </p>

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Hubspot

8 top Profound alternatives your marketing team can actually use

<div class="hs-featured-image-wrapper"> <a href="https://blog.hubspot.com/marketing/profound-alternatives" title="" class="hs-featured-image-link"> <img src="https://53.fs1.hubspotusercontent-na1.net/hubfs/53/profound-alternatives-1-20260616-4460903.webp" alt="profound alternatives" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"> </a> </div> <p>As AI search reshapes how customers discover and evaluate brands, tools like Profound are gain

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Towards Data Science - Medium

Anchor Detection for RAG: Parallel Detectors, Then One LLM Call at the End

Enterprise Document Intelligence [Vol.1 #7B] - Retrieval is filtering on structured tables: keywords first, TOC second, embeddings last The post Anchor Detection for RAG: Parallel Detectors, Then One LLM Call at the End appeared first on Towards Data Science .

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MIT Tech ReviewResearch

Stripe, Anthropic, and OpenAI are backing an effort to stop respiratory infections

The common cold comes for us all—often more than once a year. And there is no way to prevent it. The best you can do is take vitamin C and stay away from people with the sniffles. Now the payment company Stripe, founded by brothers Patrick and John Collison, says it will fund a new…

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MIT Tech ReviewResearch

The emergence of the web data infrastructure layer for AI

AI is booming. New use cases are emerging each day. To capitalize on the technology’s potential, enterprises require data at scale. In many cases, though, the relevant information is blocked or unstructured, which limits its use by AI models. To understand this challenge, consider the foundation of the web itself. The web was not designed…

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The emergence of the web data infrastructure layer for AI
The Guardian AIBusiness

Meta pauses employee tracker for AI training amid privacy concerns

<p>About 1,600 workers signed petition against tool that tracked staff keystrokes, mouse clicks and computer screen content</p><p>Mark Zuckerberg’s Meta has paused a program that tracked employees’ computer activity amid data privacy concerns and a staff backlash.</p><p>The owner of Facebook, Instagram and WhatsApp had introduced a tool that tracked staff keystrokes, mouse clicks and content displayed on computer screens in order to collect data for training its AI models.</p> <a href="https://w

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Meta pauses employee tracker for AI training amid privacy concerns
The Hacker NewsSecurity

Dawn of the Apex Agentic Adversary

We are standing at the end of an era we never thought to mourn: the era of human-speed threats. For years, cybersecurity moved to a rhythm organizations could follow. A researcher found a bug, a CVE was cataloged, a vendor navigated a patch cycle, and weeks or even months later, a fix was deployed. In this era, dwell time was measured in days, sometimes weeks. We are now approaching an

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Dawn of the Apex Agentic Adversary
r/MachineLearningResearch

I compiled LLM inference pricing across 7 providers — the caching numbers are surprising(spreadsheet included) [R]

<table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1ueavxn/i_compiled_llm_inference_pricing_across_7/"> <img src="https://preview.redd.it/4vj50mvhu79h1.png?width=140&height=63&auto=webp&s=f53b566e7aa9a25215aa77fcf3ed0b16e426e2a1" alt="I compiled LLM inference pricing across 7 providers — the caching numbers are surprising(spreadsheet included) [R]" title="I compiled LLM inference pricing across 7 providers — the caching numbers are surprising(spreadsheet included) [R]" /

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I compiled LLM inference pricing across 7 providers — the caching numbers are surprising(spreadsheet included) [R]
Product Hunt — The best new products, every day

Grass 2.0

<p> The always-on computer for your coding agents </p> <p> <a href="https://www.producthunt.com/products/grass-claude-code-from-your-phone?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/1179935?app_id=339">Link</a> </p>

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Schneier on Security

Embedding Forbidden Text in Spyware to Discourage AI Analysis

At least one malware developer is adding text about nuclear and biological weapons to their spyware, in an effort to stop automatic AI analysis. Details : The _index.js payload begins with a large JavaScript block comment containing fake system instructions and policy-triggering content. Because it is inside a comment, it does not affect JavaScript execution. The runtime skips it. The real malware begins after the comment with a try{eval(…)} wrapper around a large character-code array and a ROT-

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The DecoderBusiness

Pangram CEO says language models give themselves away by making the same arguments

Language models may write cleaner prose than most humans, but ask one for 100 arguments on a topic and they'll all cluster together. Human reasoning is far more diverse, says Pangram CEO Max Spero, and that's what might give AI away. The article Pangram CEO says language models give themselves away by making the same arguments appeared first on The Decoder .

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Pangram CEO says language models give themselves away by making the same arguments
Hacker News Ask

Ask HN: How to avoid LLMs struggling with Lisp parens?

LLMs seem to love certain languages (Python, Bash, etc.), but they all seem to struggle with Lisp (e.g. Racket or Emacs Lisp). I've tried various iterations of Claude, as well as cheaper models like DeepSeekV4, etc. and the pattern is the same: they'll make a few successful edits, but eventually they'll get some parentheses slightly wrong, then spiral into madness as they attempt to fix the syntax errors by counting and matching-up parentheses "manually" in a never-ending loop. This is frustrati

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Hacker News AILLMs

What Is an AI Agent Management Platform (AMP)?

Article URL: https://www.execlave.com/blog/what-is-an-ai-agent-management-platform Comments URL: https://news.ycombinator.com/item?id=48657599 Points: 1 # Comments: 0

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The Guardian AIBusiness

If an AI chatbot misleads you, who is to blame? | Bruce Schneier and Nathan E Sanders

<p>A court in Germany found that Google was responsible for what its chatbots say in search summaries. This is the accountability we need</p><p>Earlier this month, a German court <a href="https://the-decoder.com/landmark-german-ruling-declares-googles-ai-overviews-are-googles-own-words-and-makes-it-liable-for-false-answers/">ruled</a> that Google is liable for its AI search summaries. Rejecting defenses like “users can check for themselves”, and that they generally know “that information generat

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If an AI chatbot misleads you, who is to blame? | Bruce Schneier and Nathan E Sanders