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Oct 31Sat
  1. TechCrunch · AI38

    Theranos whistleblower Tyler Shultz warns that the AI boom is ‘a great opportunity to go deceive people’

    Theranos whistleblower Tyler Shultz told The San Francisco Standard that AI is hard to do due diligence on, since it is difficult to tell something truly new from a ChatGPT wrapper, and that "if you want to deceive people, I think this is a great opportunity to go deceive people." The article ties his warning to the documentary "You Can See Everything," about Elizabeth Holmes' final weeks before prison, and notes Holmes is working on a diagnostics company called Haemanthus. Shultz also said the days of a thirty-minute coffee leading to a $100,000 check should be over, arguing Holmes scaled that model to $100 million.

Oct 30Fri
  1. Hacker News AI35

    AI being great at math makes human mathematicians more valuable, not less

    The author argues that even if AI can solve extremely hard math problems, human mathematicians remain valuable because proofs must be understood and verified by humans, and expertise becomes scarcer and more valuable when AI makes it hard to distinguish correct from merely expert-looking content. Drawing on a field experiment with Süddeutsche Zeitung readers, the piece shows that exposure to AI-generated images lowered trust in news overall but increased demand for a trusted source, and applies the same logic to mathematics.

  2. Hacker News AI50

    There are several ways your AI chat conversations can be made public

    A DuckDuckGo-commissioned survey of 1,944 American adults found that 53% did not know whether their chatbot conversations were used to train the bots, and only a quarter knew such conversations can be subpoenaed. The article cites Character.AI's bankruptcy and court-supervised asset sale as an example of how user data and trained models may be transferred, noting the Bankruptcy Code has no provision specifically addressing trained models. It also describes three ways chatbot data can be exposed: bugs, sharing features, and absorption into training data, and warns that deleting chat records may not undo their influence on trained models.

  4. Hacker News AI34

    AI isn't replacing SREs, it's deskilling them

    Drawing on Lisanne Bainbridge's 1983 "Ironies of Automation" paper and emerging research on AI-induced deskilling in medicine and aviation, SigNoz argues that as AI handles routine incident response, SREs lose the practice that builds the intuition needed for novel outages, and junior SREs risk "never-skilling." The post proposes deliberate inefficiency (designating some incidents as human-practice opportunities) and human-in-the-loop rather than human-on-the-side designs, and describes SigNoz's plan to build an AI assistant that keeps humans in control.

  7. Hacker News AI38

    AI Can Breach Crypto Apps, Not Bitcoin – That's Where the Real Risk Lives

    Michael Saylor argues that AI threats target crypto applications and custody systems rather than Bitcoin's ledger, comparing it to AI threatening English through apps rather than the language itself. Binance's CZ Zhao and Coinbase breach reporting point to wallets, exchanges and personal data as the exposed surface, shifting the investor question from whether to hold Bitcoin to how to store and access it. The piece notes Saylor's Strategy holds 848,517 bitcoin worth close to $70 billion but recently bought back $205 million of its own preferred stock instead of adding bitcoin.

  8. Hacker News AI40

    AI Bubble Burst

    The author argues that Alphabet and Microsoft missing Q3 AI capex expectations, Caterpillar's 22% inventory increase, and ServiceNow's strong AI ACV but weak revenue guidance together confirm the AI bubble burst thesis. The three stocks fell 10-27% after reporting.

  9. The Verge · AI58

    Sam Altman sympathizes with mathematicians, but says OpenAI’s math onslaught won’t stop

    OpenAI CEO Sam Altman said on the Cheeky Pint podcast that he has empathy for mathematicians disrupted by the company's AI-generated results, but argued the public's right to new scientific knowledge outweighs that disruption and that OpenAI should not sit on major discoveries. He acknowledged OpenAI needs to improve how it communicates findings, and said the company holds many more mathematical discoveries than the hundreds it has released. Altman also estimated OpenAI has spent hundreds of millions of dollars on math problems, including around $10 million or more on its Navier-Stokes solution.

  10. Hacker News AI15

    What I'm teaching my children in the age of AI

    A father and founder argues that as AI takes over verifiable knowledge work, technical skills and grades matter less, so he focuses on teaching his children practical wisdom: being a good person, handling life's hardships, connecting with others, learning how to learn, and living a good and useful life. He draws on his parents' example, Stoic notebook practices, the SPIKES framework for breaking bad news, and a friend's Tai Chi habit story. He cites Montaigne that education should prioritize practical wisdom and character because they have direct use in daily life.

  11. 404 Media18

    Apple Is Entering Its Slop Era

    A first-person opinion piece argues Apple, now led by new CEO John Ternus, is in a "slop era" of copying competitors and shipping rejected ideas, citing cracking foldable iPhone Duos, a touch-screen laptop Steve Jobs and Tim Cook had dismissed, and a $300 Apple HomeView. The author recounts a petty grudge from 2010, when coworkers at a Dallas Banana Republic pressured him to trade his Motorola Razr for an iPhone, pushing him to Android instead.

  12. Hacker News AI22

    AI Layoffs – The Greatest Lie of the Decade

    The author argues that companies announcing large layoffs are blaming AI efficiency gains that don't yet exist, when the real drivers are pandemic over-hiring and cost cutting. He contends that while a small number of AI-proficient workers can outwork many others, most leadership and staff still don't know how to use AI effectively, and that traditional coding skills are losing value while agentic development and domain experts building software open new opportunities.

  13. Hacker News AI18

    Lets Stop Harassing People Online for Using AI

    A writer describes how their brother was accused of faking his art with AI and faced threats of disengagement after openly saying he "vibecoded" his website, https://mvndy.cl/, which promotes his solo-made comic and indie web work. The author argues AI is an effective work multiplier when the user cares about the output, citing a debugging example and claiming roughly 10x tracked productivity, and defends AI training as fair use. They conclude by asking people to stop bullying others online, especially artists, for using AI.

  15. ChinaTalk40

    Is Half of China’s AI Making Slop?

    The article examines the viral claim that 55% of China's AI tokens go to short dramas and video generation, tracing it to a June 2026 COL Group investor call and noting ByteDance's public challenge that video generation is only about 10% of its own computing capacity. It argues the controversy reflects a Chinese social obsession with usefulness, in which AI slop offers escape from constant productivity pressure while the shame attached to enjoying it reproduces that same pressure.

  16. Hacker News AI22

    Ask HN: Are you tired too in this AI era?

    A Hacker News poster says that although AI lets people do much more, they feel considerably more tired than before, citing the need to track many parallel tasks, read enormous amounts of generated text, and handle constant guardrailing, decision making and context switching. They ask whether others have found ways to use AI without increasing mental overload while staying relevant so their boss does not fire them.

  17. Hacker News AI22

    How (not) to use AI for pull requests and code reviews

    This article argues that the developer creating a pull request remains responsible for understanding its changes, impact and risks, and for testing and verification, regardless of how coding agents were used. It suggests using agents to catch bugs before opening a PR, reserving human review for decisions that matter, and having PR descriptions state in a sentence what changed and why and what feedback is requested. Tools and agents can flag risky changes such as public API modifications so humans can focus on the interesting parts.

  18. Hacker News AI22

    AI will bring in universal income and everyone will get wealthier

    Oracle executive chairman and CTO Larry Ellison said at the Oracle AI World event in Las Vegas that widespread AI and robots will make people more productive, eventually lead to universal income, and require shifting from taxing human labour to taxing value-added tax returns. He predicted most cancers will be gone in five to ten years, with AI speeding drug discovery and distribution to lower prices, and said AI-enabled metagenomic tests can catch sepsis early. The International Labour Organisation disputed in a May report that government-funded universal basic income is the answer to AI's labour-market impact.

  19. Hacker News AI18

    Plan R: AI Safety by ASICs

    A LessWrong post titled "Plan R: AI Safety by ASICs" proposes an approach to AI safety centered on application-specific integrated circuits. The submission links to the LessWrong article and its Hacker News discussion thread, which at the time had 2 points and no comments.

  21. Hacker News AI22

    Ambition in the Age of AI

    Reflecting on Greg Brockman's GPT-4 sketch-to-website demo at OpenAI's March 2023 livestream, the author argues AI is foundational technology like electricity that has upended expectations for software engineers. Rather than using AI to do the same work with fewer engineers, organizations should do more with more—pursuing ambitious products, super-apps, and self-improving software—while still needing engineers with judgment, taste, and experience to direct agents.

  22. Hacker News AI30

    The hard problem of AI therapy

    Clinical psychologist Josh Lipson argues that the core structural flaw of LLM-based therapy is not quality but unlimited availability: because chatbots are cheap and on-demand, users can outsource reassurance-seeking and introspection instead of practicing skills between sessions, reinforcing anxiety rather than treating it. He contends that a therapist's scarcity and finiteness are features of the therapeutic frame, and that companies have no incentive to offer less when more costs the same.

  23. Hacker News AI22

    Google eng is sure AI will destroy humanity he's stopped saving for retirement

    Nate Soares, a former Google and Microsoft engineer and critic of current AI safety standards through the Machine Intelligence Research Institute, said on the "The Most Interesting Thing in AI" podcast that he no longer contributes to retirement savings, citing a 401(k) from his Google years he hasn't added to in a decade. He put the odds of no humans remaining in ten years, assuming minimal preventative action, at over 50%, and argued nation states should treat potential rogue superintelligent AI as at least on par with nuclear weapons, which he called less dangerous.

  25. Hacker News AI30

    Rich Hickey: "AI" is not a tool

    Rich Hickey argues that LLMs are not tools because a tool is something you wield with control, sensory feedback, intention and continuous direction, which builds expertise, whereas LLMs are automation that acts on its own without your energy or direction. He contends that using an LLM to read and summarize papers means it reads them, not you, so you miss learning to write, formulate arguments, notice things and think. He warns that automation has intrinsic properties distinct from tools that you ignore at your peril.

  26. Hacker News AI38

    Are we in an AI Bubble? Lessons from 1873 and 2000

    The author compares today's AI buildout to the 1873 railroad boom and the 2000 dotcom bubble, noting that AI infrastructure spending is roughly three times larger than the dotcom buildout and double the 19th-century railroads. He argues AI companies have much larger operating cash flows than dotcom-era firms, but worries about who will ultimately pay for AI, citing concentrated spending, slowing growth among the largest customers, and a 41% decline in effective price per million tokens between March and August. He concludes he does not think we are in a mania bubble but is unsure the enormous AI investments will pay off.

  29. Hacker News AI34

    Why Is AI Bad at Writing?

    The author argues that AI-generated writing feels "off" because it lacks the rhythm and flow of human prose, comparing it to music that needs human imperfection rather than perfect quantization. He notes that common "AI tells" like em dashes are unreliable indicators, and that detectors such as Pangram must continuously retrain as models change, citing a music-detector study where lowering sample rates defeated detection entirely. He concludes that authorship rests on human taste and judgment, so AI use is acceptable if the human remains the arbiter of quality and stamps the work with their own identity.

  30. Hacker News AI20

    The AI bubble is about to pop [video]

    A Hacker News submission links to a YouTube video titled "The AI bubble is about to pop," which at the time of the submission had 10 points and 2 comments. The supplied material contains only the link and comment metadata, with no video content or argument details.

  31. Big Technology47

    Why AI Hackers Still Fall for Simple Traps

    Horizon3 CEO Snehal Antani tells Big Technology that frontier models perform well in lab environments but struggle on networks that actively defend themselves, citing company research showing AI attackers clicked on defender-planted decoys 92% of the time versus 37% for expert human hackers, even when the models suspected a trap. He argues the legitimate AI step-up is faster reverse engineering of patches to weaponize flaws, while agents should be treated as insider threats given excessive permissions and susceptibility to prompt injection.

  33. Hacker News AI16

    AI Is Not an Important Technology

    The author reflects on how AI-assisted coding has advanced since December, letting people in HR, marketing and other non-engineering roles build their own applications with tools like ChatGPT for $20–$200, and notes that he now handles video editing and design tasks himself, cutting two-hour jobs to five minutes. He argues this removes a major time and cost barrier but raises the question of how people will differentiate themselves once everyone has the same capability, and observes that developers face pressure from employers expecting "two-prompt" work while communication and empathy skills gain importance. He notes the post was produced from his voice recording and edited with AI, with the ideas entirely his own.

  34. Simon Willison58

    Building a multiplayer game world with autonomous Fable-class models

    This piece by Jacob Sansbury describes Spawn, a massively multiplayer gaming environment where players prompt an in-game agent, Savi, to modify the game world, and which is now developed autonomously by a swarm of Fable-powered agents costing over $3 million in tokens per month. Agents change live code directly and ship to production hourly, with about 60% of work starting from production errors, Savi bug reports, log anomalies or feature requests, and an hour without a ship treated as a SEV-0 incident. Sansbury says Fable 5 (and then 5.1) made this level of autonomy possible, while a GPT-6 Astra attempt to apply security-review fixes disabled every feature instead.

  35. Hacker News AI12

    Ask HN: How are you using AI in your personal life?

    A Hacker News user, prompted by Ben Thompson's mention of building apps to manage his house and sports viewing, asks how others use AI for personal time-saving and efficiency. They share using AI to navigate local zoning laws during a rezoning process (with the city council approving 15 of their requests) and to turn lesson outlines into polished slides for a youth group.

  37. Hacker News AI22

    AI is overwhelming and I'm doing it wrong

    Ben Tossell reflects on feeling stuck and overwhelmed by AI, describing how he cut his newsletter from five days a week to two and unsubscribed 60k+ inactive readers, and argues that agents should serve him rather than the reverse. He outlines a 30-day plan including morning pages, using agents only for things he finds fun, and no new tools unless they solve a clear pain. The post also quotes reactions from others, including Ivana's view that people getting the most out of AI could do the work without it and Matt Wensing's concern that agent activity outside coding may be busywork rather than value creation.

  38. ChinaTalk27

    The Manhattan Project, Take Two

    In this podcast interview, Barnett Koven, Managing Director of AI and Data at Accenture Federal Services, discusses how AI and data analytics can support U.S. government missions, including entity resolution and predictive modeling for BIS export-control enforcement and unwrapping PLA-linked shell companies. He also covers the DOE's Genesis Mission, risk aversion in government adoption of AI, and the "gun-armor race" in classified AI environments.

  39. Hacker News AI42

    Anthropomorphize Your AI Agent for Fun and Profit

    The author argues that Muse's mainstream appeal comes not from new capabilities but from a user experience that feels like employing a virtual assistant, and recommends treating AI agents as very smart humans who never sleep. Granting agents read-only access to email, bank and other systems, plus accumulated context and feedback, makes them exponentially more useful, as shown by a self-built proactive monitor that caught a misfiled LLC fee and a missed Chewy email.