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  3. Jev Is Not a Language Model, but It Breaks Like One(checkpoint.com)
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  4. The same bug fix costs 0.4¢ or $2, depending on which coding agent you ask(ariwilson.com)
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  5. Microsoft's Terrifying New Patent (ACR Adjacent)(youtube.com)
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  6. AI Pays the People(dpdns.org)
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  8. Can your AI model survive its own mistakes?(github.com/dmigwi)
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  9. OpenAI Agent Attack on Austral. Gov't Website: First Publicly Disclosed Instance(wsj.com)
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  10. Machine god metaphors eat your brain(programmablemutter.com)
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  11. Cloudflare Python Workers are now generally available(simonwillison.net)
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  12. Goodbye Grok bot? Claude just released a competitor(claude.com)
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  13. AI, Make the Website Good(zachleat.com)
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  14. Accelerating delivery of CVE fixes with a new Kernel release strategy(canonical.com)
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  15. Julius Evola(wikipedia.org)
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  16. Google Takes the A.I. Data Center Race to Outer Space(nytimes.com)
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  17. Google Is Sending an A.I. Data Center to Outer Space(nytimes.com)
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  18. Oracle Cites 'Force Majeure' to Shield Itself on Controversial Data Center(bloomberg.com)
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  19. I want my mesh networks to be signed, not encrypted(andanti.no)
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  20. Type-safe documents with conflict resolution. Faster than any CRDT(github.com/docukit)
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  21. When Computers Were Magic – By John Ward – Goto 10(goto10retro.com)
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  22. Show HN: A novel about an AI that starts asking questions, a chapter a day(thought-is-free.com)
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  23. Delta Can Sue CrowdStrike,Stranded Passengers Can't–They're Asking Supreme Court(viewfromthewing.com)
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  24. Show HN: Clue Me – Describe the word you're given, Jev tries to guess it(yorohan.com)
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  25. Show HN: Jev Approach Control(jev-approach-control.vercel.app)
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  26. There's a new way to break RSA that's faster than anything we've seen before(arstechnica.com)
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  27. Simplified Technical English in My Writing(jakeworth.com)
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  28. ASUS Launches ExpertCenter Pro ET900N G3 (GB300, 748GB, Up to 20 PFLOPS)(asus.com)
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  29. The iPhone 4 'Antennagate' Press Conference Q&A(daringfireball.net)
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  30. From PHP to Xan to Rust: speeding up large CSV imports in Symfony(vindle.nl)
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Hackers influence ChatGPT and Gemini to direct users to scam centers

20 pointsby 1h agomedium.com
7 comments
1h agoHN ↗

ChatGPT, Gemini, and Google AI Overview are being poisoned by a massive AI disinformation attack. When users look up everyday info of hundreds of major companies, AI is delivering phishing traps disguised as trusted answers.

Attackers are flooding the web with carefully optimized posts, PDFs, reviews, and fake support pages, to trick AI into presenting fraudulent phone numbers, email addresses, and login pages.

The targets included Delta, Lufthansa, Qatar Airways, Chase, Bank of America, Airbnb, TripAdvisor, and hundreds more.

26m agoHN ↗

What’s the specific example and how does it work

53m agoHN ↗

That's happening across the board when it comes to models that feed off online information. Create a website with a false claim, have AI slurp it up and spit it back out when a user asks a question.

Happy elections.

40m agoHN ↗

That's very troubling. The scariest part is how easy it is, one Instagram post and you may change the customer phone number of Airbnb, or who is leading the election poles.

42m agoHN ↗

It’s not just hackers - since legitimate sites block AI crawlers, the AI are just grabbing whatever will let them read anything - killing legit sites and feeding slop farms and feeding misinformation! The future is so bright!

20m agoHN ↗

Did takedowns for a brand's fake support numbers and the hard part was never finding them, it was that killing one PDF just moved it to a new Medium post by morning.

17m agoHN ↗

There's an age-old SEO / spamming thing happening here, but it's made worse by the LLMs just being unbelievably credulous. They'll wrap anything up in a veneer of authenticity, and Google's search AI box only adds to that.

I run into this all the time when I'm doing product work. I'll dump a call transcript from a feedback call into Claude, and it'll believe every word. "The user said they'd use this feature, you should build it!" No they won't! The whole point of doing this analysis is trying to separate the genuine information from the conversational niceties, and god the LLMs are terrible at that.