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Nov 1Sun
  1. Hacker News AI58

    Is AI Cheap Enough to Replace Developers?

    The article contrasts high public benchmark scores (e.g., Claude Opus 4.8 at 88.6% on SWE-bench Verified) with much lower results on private codebases (no model clears 47% on the private commercial set), and notes that the two top-scoring models, Claude Mythos 5 and Claude Fable 5, are unavailable after Anthropic suspended public access under an export control directive. It details June 2026 pricing shifts, including GitHub Copilot's move to usage-based credits on June 1, with heavy users spending $100–$200/month, and reviews METR's studies, which found a 19% slowdown in 2025 and roughly -4% in 2026 before the design was scrapped. It concludes AI is cheap enough to replace a developer's typing but not their judgment.

  2. Hacker News AI18

    Ghost in the machine: how AI is haunting the search for the supernatural

    Ghost hunters Amy Waine and Jarrad Cutting describe their app GhostTube Seer, which assigns phone sensor signals to words and runs them through an image generator, as "the world's first AI Ghost Hunting tool"; it requires a paid monthly subscription and has more than 1m downloads according to its Google Play listing. Paranormal researcher Alex Matsuo questions what data such tools are trained on to determine what a ghost is and raises ethical concerns about copyrighted art and "paranormal echo chambers," while other enthusiasts embrace AI, including Sean Austin's Spirit Phone Innovations app for analyzing audio signals to detect EVP. The article also notes that r/Nosleep has implemented a strict policy against AI-generated material and that a former Pennsylvania asylum turned haunted house was sold to a datacenter developer in late 2025 before local residents successfully blocked the teardown in May.

  3. Hacker News AI18

    How to Live with AI

    The article examines AI's downsides—influencing how we think, disrupting entry-level career paths, and inviting use for all cognitive tasks—alongside risks such as security, privacy, financial, and environmental harms. It argues for seeing technology as a double-edged sword, consciously deciding what we want, and deliberately spending time on slower, more human ways of living.

  4. Hacker News AI58

    Chinese markets lose trillions as race for AI supremacy with US takes its toll

    China's stock markets have lost about $2.4tn since May, with the STAR 50 Index down 40% since June, as AI stocks make up over 40% of stock market value in China and Hong Kong, according to Bloomberg and Goldman Sachs. Weak consumer demand, thin profit margins, US rate rises and Western restrictions on Chinese technology are driving the sell-off, while a 60bn yuan state-backed AI fund began investing this month. Unitree's shares have halved since trading began in August, and no major Chinese AI IPOs are on the horizon as Anthropic prepares a planned listing.

  5. Hacker News AI62

    When AI writes almost all code, what happens to software engineering?

    The Pragmatic Engineer surveys experienced engineers, including Google's Jaana Dogan, Vercel's Malte Ubl, DHH and Andrej Karpathy, who report that late-2025 model releases such as Opus 4.5, GPT-5.2 and Gemini 3 crossed a capability threshold, with some now committing almost entirely AI-generated code. The article argues software engineering remains alive but shifts: prototyping, language polyglotism and stack specialization lose value, while tech-lead traits, testing and test infrastructure, architecture decisions, product-mindedness and reliability, performance and security skills gain importance. It also warns of more code, more tech debt, weak practices hurting sooner and a tougher work-life balance, and predicts product management and engineering will overlap more.

  6. Hacker News AI60

    Computer Science Programs Lose Students as AI Replaces Jobs

    Computer and information science departments at US colleges saw an exodus of students this fall, with enrollment declining more than 12% for undergraduate programs and more than 10% for graduate programs. The losses build on last year's drop, which reversed years of growth for computer science programs, according to preliminary fall enrollment data from the National Student Clearinghouse released Thursday.

  7. Hacker News AI38

    Will AI take your job? You have more agency than you think

    In an interview about his book Co-Existence: The Next Phase of AI, Wharton professor Ethan Mollick argues that AI agents can now handle hours or weeks of work and that people should use AI to understand it rather than pretend it will go away. He says the defining question for workers is which skills to offload and which to keep, warning that de-skilling is a real problem as intellectual craft faces industrialization. Mollick describes "anxious optimism" as a reasonable stance, urging people to face the transition and think about rebuilding a better world rather than sitting it out.

  8. Hacker News AI18

    Software is Eating AI (2017)

    The post argues that before AI can "eat software" as Jensen Huang predicted, software must first "eat AI," and that this is already happening as industry-developed frameworks like TensorFlow, Keras, and PyTorch spread computation-graph abstractions and conventions through the AI community. It contends that academic incentives historically favored hasty benchmark-beating code over good software engineering, while industry has perfected scalable APIs that commoditize complex tasks. The author predicts that future "application layers" will obviate most of today's AI development tasks, with natural language becoming the best way for end users to interact with the stack.

  9. Hacker News AI15

    Ask HN: Is AI destroying public online community as a protective moat?

    An Ask HN post asks whether social platforms like Reddit let AI-generated content and bots proliferate because meaningfully blocking bot traffic could reduce perceived shareholder value. The author extends the question to all social media, citing X/Twitter as a counterargument where users stay despite changes. The post has 2 points and 0 comments.

  11. Hacker News AI20

    Jonathan Swift vs. AI

    A professor of Canadian politics who studies Jonathan Swift's Gulliver's Travels argues that Swift's satire of the Academy of Lagado anticipated generative AI, comparing its word-assembling machine to large language models and their hidden human labor. He describes banning phones and laptops in his classroom and moving to in-class assignments to counter AI use and chronic distraction.

Oct 31Sat
  3. Hacker News AI15

    Ask HN: Is anyone else struggling with AI wealth FOMO?

    An Ask HN poster describes struggling to enjoy a good life while constantly reminded that others are achieving extraordinary financial success, and says that success feels strange, as if the monetary values are untethered from delivering value. The post links to its Hacker News comment thread and had 3 points and 5 comments at the time.

  4. Latent Space65

    [AINews] Google admits AI Mode hurts Search revenue; -15% $500B drop worst since 2004 IPO. AI Bear Market coming?

    Google's Chief Business Officer Philipp Schindler said strong growth in AI Mode queries had an impact because of lower monetization in AI Mode, and the disclosure, alongside other weak earnings, set off steep declines across tech. The newsletter frames this around the tension between AI overview pages and the source pages they summarize, noting Google does not break out AI Mode in enough detail for rigorous analysis. It also cites souring public-market AI sentiment, including OpenAI raising at a $1.25T rather than $1.4T valuation.

  5. OpenRouter Announcements50

    Open-Weight vs Closed-Weight Models: What's the Difference?

    Open-weight models publish their trained weights so anyone can download, run, fine-tune or serve them, while closed-weight models are only available through their maker or licensed clouds. On OpenRouter, open-weight models grew from 26.8% of top-50 model tokens in October 2025 to 71.7% in late September 2026, and cost about a quarter as much per token, though the best closed-weight models still score about 11 points higher on the Artificial Analysis Intelligence Index.

  6. Hacker News AI22

    Now what? After the AI crash

    The author says the predicted AI crash is underway, with Nasdaq peaking a month after his forecast, and expects roughly 11 months of recession before large debt bankruptcies hit. He argues that after "Neoclouds" like CoreWeave fail, cheap hardware and in-house AI will spread, while model makers and datacenters will not realize the profits they were expected to deliver.

  8. Hacker News AI40

    How much of an environmental menace is AI?

    CNN examines the environmental impacts of AI data centers, whose electricity consumption surged 50% last year and could reach up to 12% of US electricity use by 2028, with effects on climate, water, noise, heat and minerals depending on location, power source and technology. Nearly 90% of Americans say they are more concerned than excited about AI data centers, per a September CNN/SSRS poll, while transparent data remains scarce and estimates vary widely. Experts say the harms are not locked in and will depend on choices about siting, power, regulation and transparency.

  9. Hacker News AI40

    Generative AI's Environmental Impact

    MIT News examines why generative AI is so resource-intensive, citing estimates that North American data center power requirements rose from 2,688 megawatts at the end of 2022 to 5,341 megawatts at the end of 2023, and that a ChatGPT query consumes about five times more electricity than a simple web search. The article also covers water used for cooling, hardware manufacturing impacts, and the MIT researchers' call for a comprehensive assessment of generative AI's environmental and societal costs.

  10. Big Technology36

    Why Are We All Just Waiting For The Inevitable AI-Driven Catastrophe To Happen?

    Cybersecurity professionals are exhausted after a "Black October" of AI-detected vulnerabilities emerging faster than they could be patched, and many in the field see a major AI-driven catastrophe as a matter of when, not if. The article argues the likelier danger is humans using AI to cause chaos—catastrophic hacks, novel pathogens, or wars triggered by AI-manipulated signals—rather than a rogue AI, citing alleged bank hacks in South Korea using a Chinese open-source AI tool and Claude Code, and a report that armed U.S. troops nearly boarded a Chinese ship after acting on a chatbot's inaccurate output. Despite pledges to "pace the frontier," the industry is racing ahead without coordinated action, and the author suggests the world may need to experience a catastrophe to wake up to the risks.

  11. Hacker News AI22

    Blog: AI is in its Homelab era

    The author argues AI is popular but far from saturated, comparing today's expensive, maintenance-heavy AI usage to the homelab era that cheap cloud services later commoditized. He predicts AI will follow the same curve toward cheap, forgettable infrastructure, with a credible personal agent common on phones by around 2031, and warns that a hostile launch environment and infrastructure costs will shape which products win.

  12. Ars Technica · AI38

    Basically no one is using AI agents for their DoorDash orders

    DoorDash's Xu said third-party AI agent orders remain negligible, separate from internal tools like Ask DoorDash, which the company says builds baskets five times faster and yields orders with nearly 50% higher basket value and about 60% more unique items. He compared the current stage to Pizza Hut's tentative 1994 online ordering experiments, noting that more than half of Pizza Hut orders are now placed online. Xu said of AI agents, "you never want to fight gravity," but "you don't want to be delusional."

  13. Hacker News AI58

    Tracking 11,709 AI launches on Hacker News

    An analysis of every Show HN post about an AI product from 2022 through 2025 (11,709 products) found that about half are now dead, with launches rising from roughly 2 a day in 2022 to nearly 60 a day in 2026 while newer cohorts die faster: 2025 launches were 4.2x more likely to be dead within 18 months than 2022 launches (42% vs. 10%). The same trend appeared among 1,280 Y Combinator AI companies, though they die far less often, and launches with 100+ Hacker News points were about half as likely to be dead as those under 10.

  14. The Decoder72

    Google's AI Mode doesn't drive traffic "for anybody," Reddit CEO Huffman warns the entire web

    Reddit shares fell over 25 percent despite strong earnings after CEO Steve Huffman said the platform lost more than one million Google search referrals per week in October, blaming AI Overviews and AI Mode. Huffman said "AI Mode does not drive traffic. Not for us, and not to anybody as far as I know," and Reddit is testing login walls outside the U.S. to curb scraping and reduce dependence on the open web.

  15. Hacker News AI12

    Ask HN: Are you putting off hardware upgrades because of AI coding tools?

    An Ask HN post asks whether AI coding tools have led developers to delay or instead encourage hardware upgrades. The author says they still use an 8th-gen i7 with Linux for most development work, now running about 10 terminal tabs instead of IDEs, with concurrent Rust and Java builds usually not a big issue, and notes they could tell Claude to do all builds on and iterate via CI. They cite immediate feedback on interface slowness for things like FastComments as a benefit, while apps like Stripe are seriously slow in Firefox on this machine despite it running a 3D game like RDD 2 at 60fps.

  16. Hacker News AI65

    Postgres 19 is late, and it's AI's fault

    PostgreSQL 19 will likely ship in November rather than the usual mid-September to mid-October window, after several large features (UPDATE/DELETE FOR PORTION OF, SQL/PGQ, and ALTER TABLE … MERGE/SPLIT PARTITION) were reverted between August 27 and September 15. The author attributes this to LLMs making it far easier to find bugs: back-patched commits rose more than 60% year over year (724 to 1169 on the stable branch) and more than 74% for the prior release (248 to 433), diverting committer time into fixes and leaving less for release review. He calls the delay a quality-driven, not alarming, outcome, but questions how the project will ever catch up on decades of latent bugs and continue to innovate.

  17. Tomasz Tunguz62

    Crossing the Trillion Dollar Chasm

    The piece tracks Andy Jassy's and Elon Musk's $1t revenue targets, projecting that Google Cloud and SpaceX each cross $250b in quarterly revenue ($1t annualized) in 2030 and AWS follows in 2032, assuming power, silicon and balance sheets hold. It argues Google and Amazon must refocus capital on hardware, gigawatts and agentic compute while legacy cash cows absorb AI's shock, citing Search ad growth slowing to 12% ($63.3b) as AI Mode monetizes at a lower rate. Microsoft is described as the only hyperscaler expanding legacy ARPU through AI faster than seat growth slows, while ServiceNow fell 29% on AI erosion fears.

  18. 404 Media12

    Behind the Blog: Tech Support

    In this Behind the Blog post, Jason says that since writing about ChatGPT turning him into tech support for people's random problems, he has received many more AI-generated emails asking him to solve tech support issues. He believes the phenomenon affects many journalists, not just those at 404 Media, and notes that many ChatGPT chats he saw told people to contact multiple journalists, providing contact info and instructions, with some also suggesting lawyers or academic researchers.

Oct 30Fri
  2. Newcomer22

    Big Tech Defied Tradition With a Risky Bet on Trump. It’s Not Looking Like a Winner.

    Tech leaders including Elon Musk, Marc Andreessen and Ben Horowitz have poured hundreds of millions into Republican campaigns, but with Trump's dismal approval ratings and AI opposition emerging as a campaign issue, those bets look far less promising. Musk alone has spent almost half a billion dollars, nearly $200 million of it backing Texas Attorney General Ken Paxton, who is in danger of becoming the first Republican to lose a statewide race there in decades. The piece also notes Rest of World's likely shutdown, Anthropic S-1 reactions, five midterm races with high stakes for tech, and notable deals including Kalshi's $40 billion valuation.

  3. TechCrunch · AI40

    DoorDash said it’s only received ‘several hundred’ orders from AI agents

    On its third-quarter earnings call, DoorDash said it has received only "several hundred" orders from third-party AI agents such as Muse, Instinct and Fo, compared with an average of 3 million deliveries daily cited in its 2025 report. CEO Tony Xu said ordering through DoorDash's own app still dominates, while the company wants to learn about agentic use cases and build relationships with third-party agent makers, and sees a possible future opportunity to advertise within those agents. DoorDash has launched its own text-to-order agent, a CLI agent, the Ask DoorDash chatbot and an MCP for corporate ordering.

  5. 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.

  6. Sierra Blog58

    Our customers’ ambition is accelerating our growth

    Sierra announced it has surpassed $400M in ARR, adding over $150M in Q3 alone, and says growth is accelerating, taking five months to double from $200M to $400M after six months to double from $100M to $200M. The company attributes this to customers' growing ambition, agents handling longer interactions that drive revenue, and faster agent building with Ghostwriter, citing a large US retailer that went from first meeting to live agent in 27 days. Sierra says it now works with almost 50% of the Fortune 50 and is developing an open standard called Poppy with over 50 enterprises including Meta, Shopify, Stripe, and Walmart.

  7. 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.

  8. 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.

  9. 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.

  10. Hacker News AI38

    Musk, Zuckerberg push to rebrand AI as 'super intelligence' on earnings calls

    After President Trump ordered the term "super intelligence" to replace artificial intelligence in executive branch departments and agencies, Elon Musk and Mark Zuckerberg used the term on their earnings calls, with Musk saying Tesla's robots aren't using "any kind of advanced AI or SI" and Zuckerberg citing Meta's "goal of delivering personal superintelligence to everyone." Other tech CEOs largely kept using "AI," including Amazon's Andy Jassy, Microsoft's Satya Nadella and Alphabet's Sundar Pichai, though Microsoft's annual report and IBM's Arvind Krishna also used "super intelligence."