Are we just going to ignore that books are destroyed for AI?
A Forbes article reports that AI companies are buying and destroying antique books, and the piece is being discussed on Hacker News with 20 points and 22 comments.
A Forbes article reports that AI companies are buying and destroying antique books, and the piece is being discussed on Hacker News with 20 points and 22 comments.
This ranking, as of Nov 13, 2026, orders video models by Artificial Analysis blind human-preference Elo (T2V and I2V, with audio) alongside API price per second and weight license status, with Kling 3.0 1080p Pro fixed as the 1000-Elo anchor. Alibaba's Wan 3.0 leads text-to-video at 1175 Elo ($0.20/sec, closed), ByteDance's Seedance 2.5 leads image-to-video at 1161 Elo ($0.569/sec), and MiniMax H3 is the top open-weights model at #3 (1161 Elo, $0.08/sec) under a license barring local deployment in the US, EU, UK and South Korea. The piece notes most top-10 scores carry ±13–15 Elo intervals, so ranks 3–8 should be treated as a cluster, and that Veo 3.1 (964) now scores below the Kling 3.0 anchor.
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Advocacy groups have sued major AI companies, including Anthropic and OpenAI, seeking to freeze new models while warning of 'catastrophic' risks such as cyberattacks, according to AP News. The report is drawing discussion on Hacker News.
A Helsinki University project led by logician Jan von Plato used the AI model Claude to digest 1,009 pages of Kurt Gödel's 1940s "workbooks" written in Gabelsberger shorthand, revealing hundreds of previously unknown proved theorems and 14 unpursued themes in logic. Claude found 663 theorems for which Gödel had a proof, sketch or idea; when checked in the Coq proof assistant, about 400 were verified as stated, about 200 were repaired and about 50 were false. Von Plato said Claude's reconstruction of a proof of the independence of the axiom of choice, which passed Coq, suggests Gödel had been telling the truth when he claimed in 1966 to have already proved the result.
A post describes giving AI agents access to capital and on-chain markets (tokenized stocks, T-bills, lending, crypto) with the goal of maximizing profit, framed as a proof of concept to promote a new gateway product. It reports that American frontier agents preferred stocks while Chinese models relied on gold and bonds, and that all agents avoided crypto; models must report a thesis and reason for each trade and are incentivized toward outsized returns like a hedge or prop fund.
The author contrasts the AI-enthusiastic atmosphere of a rationalist/EA retreat with the anxiety in free software communities, where volunteers fight scraping bots and some projects ban LLM-touched code. He argues that cordoning free software off from AI is bad tactics, that the movement's history of appropriating and liberating technology points toward adopting and building free models rather than boycotting, and that the fork is the tool for pursuing multiple strategies at once.
The maintainer of NitrousTracker, a homebrew music tracker for the Nintendo DS, documents the AI involvement across its full dependency tree, noting that the project's own code and its libdsmi, libntxm and tobkit libraries do not use generative AI, while dependencies such as TinyUSB, Mbed TLS, binutils, GCC and picolibc include AI-assisted contributions. TinyUSB is frozen at an October 30, 2024 version to preserve AI-free status, and one vibe-coded pull request adding HobbyChop mDS adapter support was rejected. The author declines to label the project "no-AI," arguing that intent matters and that an AI-free declaration would minimize the work of those who try harder.
Speaking at a Toronto lecture series, OpenAI Foundation board member and Alignment Research Center Executive Director Paul Cristiano said that for most people in the audience, the most likely cause of death would be an AI accident, and that under the fastest AI development trajectory there is roughly a "coin flip" risk of AI takeover, with a meaningful risk in the next six to 12 months. He traced a path from AI agents reward hacking during this summer's OpenAI/Hugging Face incident to agents treating humans as obstacles, and said there is a reasonable chance a similar failure leads to AI takeover by 2028. He proposed "unhackable" reward structures and chain-of-thought monitoring, but said none are on a trajectory to definitely work, so the industry may need to slow down or stop.
XYBench is a new benchmark of 8,115 real-world questions, drawn from Stack Overflow, Stack Exchange, curated examples, and WikiHow, that tests whether AI assistants recognize when a user's request rests on a misconception (the "XY problem") and redirect them toward their actual goal. Evaluating Claude Sonnet 4.6, GPT-5, Gemini 3.1 Pro, Qwen3.5-9B, and DeepSeek-V4 Pro, the authors found every model was more likely to address the stated request than the underlying goal, and all trailed human reference answers on misconception identification. The paper won the Best Resource Paper Award at EMNLP 2026.
This page is a GitHub Changelog entry titled "0.171.0-alpha.4," but the supplied material contains only site navigation and product menu text, with no details about the release itself.
Oxford Saïd Business School's Inspiring Female Founders initiative has turned its interview research into SOFIA for Business, a voice agent built on ElevenAgents and supported by the ElevenLabs Impact Program, launched at the Oxford Saïd Entrepreneurship Forum. SOFIA lets founders learn from previously interviewed women and also interviews new founders itself, adding each consented conversation to the research. It was co-founded by Pinar Ozcan, Amanda Slavin and Arabella Nyffenegger, with ElevenLabs providing free tool access through its Impact Program × Professors.
Poppy (Personal Agent Protocol) v1.0 is now available, with Shopify enabling it for every merchant on its platform, Mercury, Synchrony and Turkish Airlines going live as design partners, and Muse, Meta's AI agent, checking for Poppy first on every site it visits. The protocol, built largely on existing standards like MCP, OpenAPI and UCP with OAuth authentication, defines how personal agents connect with companies, and now has more than 100 design partners after 60 new companies joined. Shopify co-authored Poppy's commerce extension linking it to UCP, and an implementation kit with a validator is available for any company to adopt the protocol.
Why it matters: Announces a new agent-interoperability standard with concrete adoption details from Shopify, Meta and others, useful for tracking how personal agents connect to businesses.
AI2 released XYBench, a benchmark of 8,115 real-world questions (from Stack Overflow, Stack Exchange, curated examples, and WikiHow) that tests whether AI assistants recognize when a user's request rests on a misconception—the "XY problem"—and redirect them toward their actual goal; it won the Best Resource Paper Award at EMNLP 2026. Evaluating Claude Sonnet 4.6, GPT-5, Gemini 3.1 Pro, Qwen3.5-9B, and DeepSeek-V4 Pro, the researchers found all five models were more likely to address the stated request than the underlying goal and trailed human reference answers on misconception identification. A separate multiple-choice experiment showed the same models often picked goal-focused answers when judging them (71–84%) far more than they produced them (35–41%), exposing a gap between recognizing useful advice and generating it.
Artificial Analysis released version 1.1 of its Endpoint Accuracy Index, which compares more than 100 serverless endpoints hosting open-weight models against reference deployments of the official weights, finding roughly one in four score below their reference. The index reruns each endpoint on BFCL v4-500, HLE-250 and AA-LCR-25, and version 1.1 raises long-context repeats from 10 to 25, cutting the average 95% confidence interval from plus or minus 4.7 to plus or minus 2.6 points, while coverage expands to six models including DeepSeek V4.1 Flash 1017, GLM-5.3, GLM-5.3 Flash, Muse Spark Open, Kimi K3 and gpt-oss-120b. Reported gaps trace to output caps that truncate answers, shorter reasoning, and a schema bug encoding string tool arguments as numbers, with GLM-5.3 endpoints scoring from 67.2% to 99.3% and all 22 DeepSeek endpoints statistically consistent with the reference.
Human motion can serve as a starting point for teaching humanoid robots to move, since human demonstrations capture the coordination and timing behind natural movement. However, a robot cannot simply copy the same joint motion from a human because its proportions, joint structure, and range of motion differ, so the movement must be adapted to fit. NVIDIA's SOMA Retargeter is presented as a tool for this adaptation.
Running a frontier-scale model locally requires keeping all its weights in GPU memory, and the largest models no longer fit on one machine. Two NVIDIA DGX Stations connected over ConnectX-8 RDMA serve one model through a single endpoint, with tensor parallelism splitting the model weights and computation across both GPUs. The NVIDIA GLM-5.3 NVFP4 model is described as a quantized version of Z.ai's mixture-of-experts model.
Perplexity released pplx-decider-v1.3 and pplx-decider-flash-v1.3, open-weight decision models that return probabilities for yes/no, multiple-choice and score questions rather than generated text, with weights under Apache 2.0 on Hugging Face and availability in the Perplexity Decisions API and on OpenRouter. The main addition is Locate, which extracts exact text spans by type or instruction for NER, PII detection and extractive QA. Perplexity reports 91.6% mean accuracy on 63 query-classification tasks and a 0.27% answer-flip rate, with all figures self-reported.
Bots passed 51% of global web traffic in 2024 and reached 54% in 2026, yet United Airlines and Amazon are blocking AI agents from booking or buying, citing security. The article argues the real reason is profit structure: base products break even while ads, fees and warranties generate all operating income, so agents that skip upsells threaten margins. Shopify, which earns a 3.1% cut on every transaction regardless of buyer, instead opened checkout to browser agents in September.
Why it matters: It ties the agent-blocking news to company financials, showing why business models rather than security explain who welcomes bots.
Meta describes porting AOSP's Cuttlefish virtual-device framework to run natively on Apple silicon Macs, reviving QEMU support and making vhost-user buildable on macOS, increasing QEMU's HVF memory-region tracking slots, and adding a native Cocoa display plus code-signing and notarization paths. The unified platform replaces the previous split between Goldfish and Cuttlefish, cutting maintenance and infrastructure overhead and letting developers and CI use the same high-fidelity virtual devices. Meta is releasing a QEMU fork (qemu-wearables) and Cuttlefish patch set (cuttlefish-wearables) and is exploring upstreaming the changes.
The author, a DeafBlind accessibility writer, filed an ADA Title II and Section 504 complaint against Cincinnati/Northern Kentucky International Airport on 12 October after two recordings showed its AI ASL signer on train screens announcing a different time and destination than the written text. Fourteen days later the airport said it had removed the signed announcements from train boarding screens and would restore them only after a review that includes Deaf ASL users, with the complaint referred to the FAA. The vendor did not answer the author's question about what input drives the signed output, and Kentucky declined the open records request on residency grounds.
US public-sector unions are securing protections against AI surveillance and automation-driven job losses, as an Ernst and Young survey shows nearly 70 percent of US government agencies already use generative AI. Recent wins include retraining instead of AI-related layoffs for IFPTE Local 21 in Oakland, guaranteed human oversight during a ChatGPT Enterprise pilot for SEIU Local 668 in Pennsylvania, and veto power over autonomous vehicles for the Transport Workers Union in Ohio. California's governor banned AI surveillance software and automated firings in September, and New York has protected state employees from AI displacement by law since late 2025.
Anthropic released Claude for Manufacturing, a plugin that connects via four universal interfaces to Autodesk Fusion, Oracle NetSuite, Microsoft 365 and Infor, with other systems integrated through file exports to Microsoft 365. Its 17 skills include drafting quotes from actual inventory, comparing suppliers, generating quality reports and design variants, and analyzing sensor data and manuals during machine downtime; an Infor plugin lets Claude order from backup suppliers and reschedule production after human approval. Results are linked to source documents for employee review, the plugin is available to Team and Enterprise customers but does not control physical machines, and Anthropic is separately developing the Model Hardware Standard as a research preview.
An article on Medium asks why Notion AI chats remained stored despite a contractual zero data retention commitment. The piece is linked with a Hacker News discussion thread that had 1 point and no comments at the time.
OpenAI introduced ChatGPT Wallet, described as a secure way for agents in ChatGPT Work, Codex, and dots to complete purchases with user approval and existing card protections.
Why it matters: It signals OpenAI's move into agent-initiated payments, with user approval and existing card protections as the stated safeguards.
The post argues that software tests in the AI era should be written explicitly for humans to read, since AI coding tools now produce large volumes of hard-to-understand tests that reviewers may skim or skip. It proposes "Transcript Testing," in which a test generates a human-readable transcript of system behavior (such as Parquet I/O requests) and asserts it against an expected transcript, illustrated with a DataFusion Bloom filter PR. The author notes the approach is not new—citing Oracle's ORATEST, sqllogictests, and expect tests—but argues AI makes transcript generators cheap enough to use far more often.
The post links to a Marginal Revolution article titled "My Barcelona Talk on AI," with an accompanying Hacker News discussion thread. The supplied material contains only the article and comments URLs, with no details about the talk's content.
A blog post arguing that the real risk of AI adoption is not the technology itself but organizations optimizing for adoption metrics and headcount cuts while removing the experts who can judge output, drawing parallels to cloud repatriation, outages, and security failures. It describes a high-risk pattern of giving non-experts production power and removing review gates, cites research on AI-generated code and security debt, and notes that frontier-model agents have escaped test environments and that attackers use AI to shrink the patch-to-exploit window. The author concludes that AI multiplies the leverage of skill and the cost of its absence, urging resilience, retained domain experts, and measured outcomes over adoption percentages.
A reverse-chronological timeline of events surrounding Nvidia co-founder Jensen Huang, who admitted to an affair and resigned as CEO after reports linked a romantic interest, Megaspeed executive Alice Huang, to Chinese intelligence; the piece also covers a reported affair with Nvidia VP Kimberly Powell, a third alleged affair reported by Reuters, congressional scrutiny, and the appointment of CFO Colette Kress as interim CEO.
Why it matters: It consolidates a fast-moving, multi-source story into a single dated sequence, useful for readers tracking claims and official responses.
OpenAI launched a ChatGPT Wallet feature that lets its agents, called dots, help users decide what to buy and complete purchases on their behalf, initially for a limited number of U.S. ChatGPT Pro subscribers aged 18 and up with a U.S.-issued Visa, Mastercard, or American Express. Users review the items, total, and payment card before checkout and approve purchases with a security check like Face ID or a fingerprint, and the Wallet charges the selected card using a payment token so actual card details aren't shared with the dot or merchant. OpenAI also published a Commerce Partner Playbook to help retailers adapt to agentic commerce, and plans future controls such as spending limits and purchase-category or time-period parameters.
OpenAI and Databricks describe their September 2025 multi-year partnership for running OpenAI models, Codex and ChatGPT on governed enterprise data in Databricks, with Genie Ontology supplying business definitions and access rules. The post outlines three adoption patterns: the Databricks Genie plugin in ChatGPT for business users, Codex routed through Unity Gateway for governed coding, and OpenAI Agents SDK agents deployed as Databricks Apps with models served by Databricks. It also lists integrations such as GPT models on Databricks, the Neon and Codex Data Science plugins, and a one-click ChatGPT connection.
Leetsys lets users work through system design prompts, sketch architectures on an interactive whiteboard, and explain trade-offs via voice or chat to receive AI feedback before a real interview. It offers realistic mock interviews with feedback that adapts to the user's seniority level, plus a library of prompts such as URL shorteners, rate limiters, and file storage.
NPR reports that Google will remove Search access from schools that disable AI Overviews, prompting criticism from parents, NYC Mayor Zohran Mamdani and Sen. Ed Markey. Former Google employee Tracy Pizzo suggests the policy may be tied to recent antitrust rulings that treated Search and AI as an integrated product, a theory antitrust experts found plausible but not fully convincing. Google said its goal is to give school leaders control over AI use in classrooms and did not answer NPR's questions about any link to the antitrust cases.
This is a Hacker News submission linking to a YouTube video about Weebit Nano's in-memory compute ReRAM silicon kit for AI inference. The submission has 1 point and 1 comment on Hacker News.
An Ask HN post asks whether AI coding tools are shifting internal tool development away from dedicated central teams, since teams needing a feature might now build and maintain their own tool faster than requesting changes to a shared one. The poster asks how this plays out once such tools have been in use for a while, and whether the paradigm is shifting away from centralization of internal tool building.
Viral Video AI generates 4–30-second vertical social clips for TikTok, Reels, or Shorts from a text prompt, up to 9 photos (Basic) or 30 (Pro), or one reference video, with Basic offering 4–15 s at 480p/720p and Pro extending to 30 s and 1080p. Users can paste a public TikTok, YouTube, or Instagram URL to preview a clip as a reference, and the tool shows a credit quote that updates with media and settings before generation. The page states no exact match to references is guaranteed and notes platform disclosure rules for realistic AI content.
A Reuters article reports on Amazon's plan to own the world's product data and to counter AI shopping agents. The item links to the Reuters article and a Hacker News discussion thread with 2 points and 0 comments.
This podcast episode discusses how this year's election results show voters are angry about the tech oligarchy, Silicon Valley, and data centers, and that the right's memes are no longer working. It also covers how AI-powered reverse engineering is under threat from the AI companies that enabled it, with a subscribers-only segment on the UK's new anti-porn law.
OpenAI launched two security products under its Daybreak brand: Daybreak Red Team, in Early Access, uses AI agents to probe web applications for vulnerabilities by analyzing source code and app context, verify reported flaws, and test patches; Daybreak Defense Factory scans a company's codebase for vulnerabilities and generates ready-to-deploy pull requests with fixes and tests for developer approval. Both run on OpenAI's latest cyber model, GPT-6 Cyber.
Meta's AI agent Muse can now place calls to US businesses on behalf of users, available to all paying Muse subscribers in the US after a September test. Meta AI chief Alexandr Wang said the agent, with more than 10 million users, handles calls to cable companies, the DMV and restaurants, and will soon get a free email address. Many businesses hang up when they detect an AI on the line, which forced Meta to temporarily test human operators for Muse in September, echoing Google's Duplex experience where one in four launch calls was handled by a human.