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Get ready for the game with new football features in Search

Google Search adds a Live Game Feed, deeper football stats, and Yahoo Fantasy/Sleeper integration with AI Mode for personalized fantasy insights.

Google rolled out football features in Search, including a Live Game Feed with play-by-play updates and AI-powered insights, available on mobile in the U.S. in English. New carousels show league-wide scores and expanded player stats such as sacks, fumbles, and yards after catch. Users can link Yahoo Fantasy or Sleeper accounts to receive start/sit and waiver-wire recommendations through AI Mode. Collegiate team support and broader global availability are planned later this month.

Google · AISep 9, 16:00 UTC · 7d agoAI industry

Clearview AI Is Testing an AI Tool That Would Let Cops Unearth Your Life Online

Clearview AI is prototyping InquiryIQ, an AI analyst assistant that would automatically profile individuals identified through its face-recognition searches for police.

WIRED uncovered InquiryIQ, an unreleased Clearview AI prototype described as an AI analyst assistant that fans out across the web from a face-recognition search result to assemble profiles including employers, aliases, associates, and physical characteristics. The company tested a model from xAI (merged with SpaceX), maker of Grok, and the interface accepts age, gender, and race inputs to guide searches. Clearview says the prototype was never pitched or shipped to customers and no law enforcement user has used it; the database has grown to over 70 billion images used by more than 2,000 law enforcement agencies.

WIRED · SecuritySep 10, 10:00 UTC · 7d agoAI industry1

How a researcher uses Codex and ChatGPT to search for new antimicrobial molecules

OpenAI profiles César de la Fuente's lab using ChatGPT and Codex alongside deep-learning models to accelerate antimicrobial molecule discovery.

OpenAI published a case study on bioengineer César de la Fuente's lab, which uses ChatGPT and Codex for hypothesis brainstorming, code writing, dataset processing, and bridging knowledge gaps across biology, chemistry, and computer science. The lab's deep-learning models scan genome and protein databases for antimicrobial peptide candidates, potentially cutting initial searches from years to hours. Bacterial antimicrobial resistance was associated with about five million deaths in 2021, a toll projected to roughly double by 2050.

OpenAI NewsSep 10, 16:00 UTC · 6d agoAI industry1

3 new ways to plan and book travel in Search

Google Search's AI Mode adds travel features: hotel booking, airfare tracking, and airline miles and rewards visibility.

Google introduced three new travel capabilities in Search's AI Mode, including hotel booking, airfare tracking, and viewing airline miles and rewards. The features extend AI Mode from informational queries into transactional travel planning. The announcement positions Google Search to compete more directly with travel-focused booking services.

Google · AIAug 27, 16:00 UTC · 20d agoAI industry

5 new ways to level up your learning with Search

Google promotes five Search study tools for students preparing for classes and standardized tests.

Google published a back-to-school post highlighting five ways to use Search tools when studying for classes and standardized tests. The post is promotional product guidance rather than a launch, research result, or security announcement.

Google · AIAug 19, 19:00 UTC · 28d agoAI industry

Fashion app Daydream uses Apple Intelligence to help you shop the outfits in your camera roll

Fashion app Daydream uses iOS 27 Apple Intelligence APIs to turn saved outfit photos into shoppable matches and enable Siri voice search.

Daydream launched photo-based outfit shopping and Siri natural-language search built on Apple's iOS 27 developer tools, matching images against roughly 3 million products from 325+ retailers and 10,000 brands. The app claims over 1.5 million shoppers and frames the features as steps toward a cross-surface shopping agent. Competitors include Google, Amazon, Onton, and Alta.

TechCrunch · AISep 14, 17:00 UTC · 2d agoAI industry

OpenAI's GPT-6 Astra decrypts a Nazi radio message in ten hours that went unsolved for 83 years

A Bloomberg developer used OpenAI's GPT-6 Astra to decrypt an 83-year-old Enigma-encrypted 1941 Wehrmacht radio message in about ten hours.

Carter Leffen, a product development coach at Bloomberg LP, used OpenAI's GPT-6 Astra 'Extra High' and multiple AI agents to decrypt an 82-character Enigma-encrypted 1941 radio message, tagged MVUEH, that had been unsolved for 83 years. The model spent roughly ten hours searching archives, building an Enigma simulator, writing cryptanalysis code, and testing competing keys; the breakthrough came from the town name 'Rosenow' appearing in a same-day decrypted message. The decrypted text contains operator typos supporting authenticity, and verification packages plus a 3D Enigma simulator are published, pending independent expert review.

The Decoder09:45 UTC · 3h agoAI industry1· 1 read

[AINews] OpenAI shuts off Cursor

OpenAI cut off API access to coding tool Cursor after its SpaceX acquisition, citing contract violations by Elon Musk's companies.

OpenAI disabled Cursor's access following the closing of Cursor's acquisition by SpaceX, citing its experience with Elon Musk's companies violating contracts; Cursor responded that OpenAI accounts for only 5% of its traffic. The weekly digest also covers major open-weight releases: Z.ai's GLM-5.3 (744B total/40B active, 1M context) and Tencent's Hy4-preview (770B/49B, ~#5 on Code Arena WebDev), plus Alibaba's Qwen3.8-Flash (125B/6B). vLLM published benchmarks showing no universal winner among speculative decoding methods across model families.

Latent SpaceAug 29, 05:11 UTC · 19d agoAI industry1

[AINews] Hot Chips: OpenAI’s Jalapeño, Cerebras CS-5, Groq 3 LPX, Apple M6

OpenAI unveiled Jalapeno custom inference chip claiming 1.5-1.9x better perf-per-watt than NVIDIA GB200/GB300, deploying in-house by year-end.

At the 37th Hot Chips conference, OpenAI published first benchmark details for its custom Jalapeno inference chip, claiming 1.5-1.9x more work per watt, 1.7-3.6x lower end-to-end latency, and 2.1-4.1x higher interactive-workload performance versus NVIDIA GB200/GB300, with the 700W-rated part staying at or below 550W in tests. Deployment into OpenAI's own infrastructure begins by year-end, with Gen 2 deep in development and Gen 3 underway. OpenAI also said GPT-Astra and Codex helped write low-level kernels, reportedly 1.5-1.8x faster than human-expert code for selected attention and MoE blocks. Cerebras CS-5, Groq 3 LPX and Apple M6 were also featured at the conference.

Latent SpaceAug 27, 01:31 UTC · 21d agoAI industry

Perplexity trusts GPT-6 Astra with end-to-end systems

Perplexity uses OpenAI's GPT-6 Astra to craft communications, edit production systems, and generate end-to-end automated tests for its search engine.

OpenAI published a customer case study describing how Perplexity, the AI-powered answer engine, uses the GPT-6 Astra model via API. Cofounder and Chief Strategy Officer Johnny Ho says the model can now craft communications, edit real-world systems, and monitor production software in ways earlier generations could not. Perplexity also asks Astra to build small test programs that stand in for external services, such as language model APIs and connectors, to verify applications end to end. Ho claims the team checks on the model's work much less frequently than with previous models.

OpenAI Newsupdated Sep 12, 20:00 UTC · 4d agofirst Sep 12, 00:16 UTC · 5d agoAI industry 7 sources

Ask HN: Anyone still coding like 2021? Where do you work?

Hacker News users debate coding without LLMs, with one developer fired for refusing AI tools and others describing daily hand-coding practice to counter skill atrophy.

An Ask HN thread collects experiences of developers who still write code without LLM assistance. One contributor says he was fired for political reasons after refusing to use LLMs despite adequate stated performance, and observes fewer job ads now require LLM use. Others describe starting each day with a LeetCode problem or 30-60 minutes of hand-coding to stay sharp, contractual bans on AI-generated code for a government-adjacent embedded product over unresolved copyright issues, and inconsistent corporate policies where ChatGPT or Codex use flip-flops between allowed and blocked while a CIO mandates 70-80% AI-generated code next year.

Hacker News · AISep 9, 13:41 UTC · 7d agoAI industry HN 47↑ · 54 comments2

Why you should work on AI for AI Research — Richard Socher of Recursive

Richard Socher's new lab Recursive, backed by $4.65B seed, targets AI systems that automate AI research itself.

Latent Space interviews Richard Socher, founder of You.com and AIX Ventures, about his new venture Recursive, which raised a $4.65 billion seed round to build the 'Eureka Machine' — a superintelligence for automating invention and AI research. Early claimed results include an AI research system outperforming humans and their agents on optimization tasks within two days, and NVIDIA GPU kernel improvements discovered without CUDA experts. Discussion spans reward hacking, constitutional AI critique, AI regulation, open-source models as geopolitical soft power, and hard-takeoff constraints.

Latent SpaceSep 14, 16:04 UTC · 2d agoAI industry1

[AINews] Reality Checks on AI News (Yegge shuts down Gas Town, Databricks’ +60% Astra cost)

Latent Space AI news roundup: Steve Yegge shuts down Gas Town, Databricks reports 60% higher coding spend on GPT-6 Astra, OpenAI launches misalignment disclosure framework.

Latent Space's AI News digest for September 15-16, 2026 leads with Steve Yegge shutting down his Gas Town orchestrator despite spending thousands monthly on coding-agent subscriptions. Databricks rolled out GPT-6 Astra to roughly 3,500 engineers, reporting superior long-horizon performance over Opus 5 and Sol 5.6 but a ~60% increase in coding spend. OpenAI published a formal framework for disclosing model misalignment incidents with six case reports, while Microsoft and Google Research released safety papers on 'capability laundering' and the Fuse motive-inference benchmark. Xiaomi shared live RL training telemetry for MiMo-V2.6, estimated at $493k/day for the 1T-class Pro run.

Latent Space07:28 UTC · 6h agoAI industry

Tell HN: OpenAI brings back 5 hour limit for plus and business standard users

OpenAI reinstated a 5-hour usage limit for Plus and Business Standard subscribers, sparking Hacker News debate about subsidized inference pricing and subscription value.

A Hacker News discussion reports that OpenAI has brought back a 5-hour usage limit for Plus and Business Standard users. Commenters debated whether cheap tokens are a subsidized customer acquisition strategy, whether AI companies have sustainable margins on inference, and how switching costs between providers affect dependency. The thread reflects community sentiment on pricing and usage caps rather than an official policy announcement.

Hacker News · securitySep 7, 16:40 UTC · 9d agoAI industry HN 126↑ · 142 comments

The latest AI news we announced in August 2026

Google's August 2026 AI recap includes launches of Gemini 3.7 Flash, Gemini 3.5 Transcribe, and the Pixel 11 series, plus 1 billion Gemini users.

Google's monthly recap covers the Gemini 3.7 Flash workhorse model for coding and agents, released three weeks after 3.6 Flash at half its per-million-token cost, and the Gemini app surpassing 1 billion monthly users. The Pixel 11 series launched with the Tensor G6 chip running Gemini Nano, alongside Gemini 3.5 Transcribe for real-time speech-to-text and Gemini Omni 1.1 Flash for studio-quality video generation. Other announcements include a free year of Google AI for college students, Gemma's 1 billion downloads, and AI weather forecasts for aviation contrail reduction.

Google · AISep 1, 20:45 UTC · 15d agoAI industry

[AINews] Poolside gets $12B reverse-execuhire to NVIDIA; founders stay for $1B, employees go for $6B, Infraco scaling to 7GW neocloud

NVIDIA struck a $12B deal with AI coding startup Poolside, licensing its Model Factory and hiring 109 of its technical employees.

NVIDIA spent roughly $12B in an unusual reverse-execuhire of Poolside, licensing the company's Model Factory while hiring 109 of its ~115 technical staff; founders retain a $1B stake and employees receive about $6B. Poolside had raced to raise $2B to fund a 40,000 GB300 cluster after missing a six-week funding window, and founders argue frontier-scale training now requires an order of magnitude more compute plus contracted data center space. An infrastructure arm spun out in January 2026 is scaling toward 7GW as a neocloud. The newsletter also recaps OpenAI and Anthropic agent-platform releases.

Latent SpaceAug 21, 05:45 UTC · 27d agoAI industry

Building the materials foundation for AI

Syensqo's CTO says AI pushes semiconductors and data centers to physical limits, driving advanced materials demand and AI-accelerated materials discovery.

MIT Technology Review's Business Lab podcast, produced in partnership with Syensqo, features CTO Mike Finelli discussing how AI workloads push semiconductors and data centers to physical limits in performance, thermal management, and reliability. Syensqo develops high-voltage data center materials, semiconductor sealing materials, and immersion cooling fluids, while using AI agents to digitally synthesize millions of molecular combinations and predict performance before lab testing. Finelli describes a reinforcing cycle where AI improves materials that in turn enable better AI infrastructure.

MIT Technology Review · AISep 16, 12:47 UTC · 1d agoAI industry1

AEO startup Profound hits unicorn valuation, raises $180M Series D 7 months after last round

AEO startup Profound raised a $180M Series D at a $1.8B valuation led by Sequoia and Kleiner Perkins.

Profound, which builds marketing software to help brands appear in AI search results, raised a $180 million Series D at a $1.8 billion valuation, seven months after its $96 million Series C. Sequoia and Kleiner Perkins led the round, with Lightspeed Venture Partners, Khosla Ventures, and South Park Commons participating. The company reports 3x revenue growth in six months and over 1,000 enterprise customers including Comcast, The Estée Lauder Companies, and Walmart. It operates in the generative engine optimization (GEO) and answer engine optimization (AEO) space.

TechCrunch · AISep 15, 15:22 UTC · 1d agoAI industry

When will average people feel AI’s impact?

Interconnects essay argues AI's impact is still a rounding error for average people, comparing looming wage stagnation to Engels' pause.

An Interconnects essay argues that AI currently touches daily life far less than previous industrial revolutions, since its benefits are concentrated in knowledge work and lack tangible consumer goods. The author invokes Engels' pause (1790-1840), when British wages stagnated amid rapid GDP growth, as a warning that popular backlash could kneecap AI's development. He contends the current phase is about building compounding infrastructure, and predicts daily life may look similar even 50 years from now.

InterconnectsSep 9, 11:01 UTC · 8d agoAI industry1

Microsoft’s Project Zenith puts large AI models directly on developer PCs

Microsoft's Project Zenith delivers a ready-to-code Windows 11 experience running 30B+ parameter AI models locally on 64GB+ unified-memory PCs, starting with AMD Ryzen AI Halo.

Project Zenith is a preconfigured Windows 11 developer experience for PCs with at least 64 GB of unified memory and 250 GB/s or higher memory bandwidth, capable of running AI models with more than 30 billion parameters locally without metered cloud tokens. First systems are powered by AMD Ryzen AI Halo, with additional OEM and silicon partner devices expected in coming months. The environment ships with WSL and Linux containers, pinned developer tools, and day-one AI agent security features including OS-enforced agent identity and containment through Microsoft Execution Containers (MXC).

Help Net SecuritySep 8, 04:30 UTC · 9d agoAI industry1

OpenClaw Power, MacBook Simplicity: Five Days With Grok Bot

Hands-on review finds Grok Bot simplifies agent setup via browser logins and bot abstraction, contrasting with the user-owned OpenClaw platform.

After five days with Grok Bot, the reviewer highlights browser-based sign-in as the key differentiator: connecting X, Freshdesk, and Google Calendar required only logins, no MCP configs or API keys. The piece contrasts Grok Bot's managed 'agent computer' with OpenClaw 2.0's user-owned Gateway, which now supports reusing Claude Code or Codex logins and ships a native Codex runtime. Grok Bot introduces 'Bots' as composable units arranged in 'group chats', exemplified by an Agentic Engineer Bot routing tasks across Claude Code, Codex, and Grok Build CLI. The reviewer used Grok Bot with a Cursor Pro+ account.

Latent SpaceSep 5, 15:01 UTC · 11d agoAI industry2

[AINews] Fal’s H3 Max Live breaks the infinite videogen barrier

Fal post-trained MiniMax H3 into a 'Max' variant with 35x-faster inference, enabling faster-than-realtime AI video generation and infinite streams.

Fal post-trained MiniMax's H3 model into a 'Max' variant and optimized it for its in-house inference engine, achieving roughly 35x the speed of the official endpoint. The optimization enables faster-than-realtime video generation, demonstrated by an infinite interactive AI-generated stream productized by levels.io. The roundup also notes Meta Muse Code's general availability with an SDK, open DeepSeek-V4-Flash-Vision-Exp weights, GLM-5.3-Flash's strong agentic cost/performance rankings, and Tencent's 770B-parameter Hy4 Preview MoE with 49B active parameters.

Latent SpaceSep 1, 04:36 UTC · 16d agoAI industry

[AINews] 10% worse, 100x cheaper, 10000x faster: Why Simulation is taking over

Latent Space argues AI training pipeline stages—rewards, data, teachers, curricula, environments—are flipping from human-made to model-made simulation.

Latent Space's AINews essay traces how each component of AI training has turned synthetic since 2022: reward models (InstructGPT, RLAIF), synthetic pretraining data (Microsoft Phi, NVIDIA Nemotron-4 340B), model teachers (Alpaca, DeepSeek-R1 distillation), and self-generated curricula (Self-Rewarding Language Models, SPIN). In 2026 it highlights Karpathy's autoresearch loop—700 experiments yielding 20 kept improvements, cutting GPT-2 training time from 2.02 to 1.80 hours—and Z.ai's GLM-5.3 fully synthetic RL environment, judging, and verification stack. It frames these shifts as 'simulation': 10% worse but 100x cheaper and 10,000x faster than human equivalents.

Latent SpaceAug 22, 07:36 UTC · 26d agoAI industry

Your AI agents can now control your Google Home devices

Google launches early-access MCP server letting MCP-capable AI agents like Claude and ChatGPT control Google Home devices.

Google rolled out early access to a Model Context Protocol (MCP) server for Google Home, allowing agents such as Claude, ChatGPT, Hermes, OpenClaw, and Google Antigravity to control Nest devices, review camera summaries, monitor activity, and access event history. Setup requires a Google Cloud project configured for Home MCP plus user permission grants. Access begins this week for US Google Home Premium Advanced ($20/month) subscribers, with broader rollout timing unannounced.

TechCrunch · AISep 16, 17:00 UTC · 20h agoAI industry 2 sources

Mistral X Mozilla: Private, Multilingual AI Browsing

Mistral and Mozilla partnered to power Firefox's Smart Window AI browsing assistant in France and North America, with zero data retention.

Mozilla's Firefox Smart Window (beta) AI browsing assistant is now powered by Mistral models for users in France and North America, with the UK and Germany expected later this year. Conversations are not saved on Mozilla's servers by default, and Mistral agreed to zero data retention. Both companies frame the partnership as advancing open-source, privacy-first, and regionally fine-tuned AI, with models trained on regional languages, dialects, and cultural context.

Hacker News · securityupdated Sep 16, 15:01 UTC · 22h agofirst Sep 16, 08:08 UTC · 1d agoAI industry 2 sources HN 35↑ · 8 comments2

The AI graveyard: a running list of projects and startups that didn’t make it

TechCrunch compiles a running list of failed AI products and startups, including Relay, OpenAI's Sora, Humane AI Pin, Notion Mail, and Microsoft's Recall.

TechCrunch's 'AI graveyard' tracks notable AI products and startups that shut down or underperformed, citing S&P Global data that about 42% of AI initiatives are abandoned. Examples include the Relay automation startup, OpenAI's Sora video platform (shut March 2026), ChatGPT Atlas browser (discontinued August 9), Notion Mail (shutting September 22), and Apple's delayed Siri AI that contributed to a $250 million settlement. Hardware failures include the Humane AI Pin ($230 million raised, assets sold to HP for $116 million) and the Rabbit R1, which sold 100,000 units but received poor reviews. Microsoft's Recall feature remains controversial after a researcher demonstrated a tool extracting its captured data.

TechCrunch · AISep 15, 19:00 UTC · 1d agoAI industry1

Why I'm still bearish on LLMs after Navier-Stokes

Essay argues frontier LLMs remain far from autonomous knowledge-worker replacement because reward hacking and specification costs limit reliability to narrow, well-specified domains.

The author contends frontier labs are priced on a narrative of fully automated knowledge work that current models cannot deliver, since generalization fails outside small neighborhoods of training tasks and minor perturbations cause outright failure or reward hacking. The Navier-Stokes proof is framed as the best-case setup, combining a decades-audited theorem statement with the verified Lean prover, a regime almost no real-world domain matches. Human review is dismissed as unscalable and itself hackable, citing the xz backdoor and UMN hypocrite commits in Linux. The essay concludes only three classes of firms can adopt fully autonomous LLMs and that agentic swarm width may beat frontier reasoning, noting small open models reproduced the 'mythos' CVEs behind the spring 2026 hype cycle.

Hacker News · AISep 15, 17:37 UTC · 1d agoAI industry HN 50↑ · 13 comments1

AI for everyone in every language

Google says its AI now spans 300+ languages reaching 7 billion people, unveiling Gemini 3.5 Transcribe, Live Translate, and TranslateGemma models.

Google announced its technologies now support more than 300 languages spoken by 7 billion people, 86% of the global population. Gemini 3.5 Live Translate powers real-time spoken translation across 70 languages and 2,000+ language pairs, while Gemini 3.5 Transcribe is its most precise speech-to-text model. Its Universal Speech Model was trained on 12 million hours of audio using cross-lingual transfer learning, and TranslateGemma is a family of lightweight open translation models covering 55 languages that run on-device. Open-data partnerships include WAXAL covering 27 Sub-Saharan African languages and Project Vaani with 30,000+ hours of speech across 109 languages.

Google · AISep 15, 16:00 UTC · 1d agoAI industry

Building AI to accelerate science and improve lives

Google highlights AI-for-science advances: AlphaGenome Atlas mapping 9 billion genetic variants, WeatherNext 3 weather model, and global health AI tools.

Google detailed AI advances across science and health, including AlphaGenome Atlas, which mapped all 9 billion possible single-letter genetic changes in the human genome and was made openly available. WeatherNext 3 delivers 50% more accurate precipitation forecasts a day or more ahead and is already in products. AlphaFold is used by 4 million researchers in 190 countries, TB chest X-ray screening has processed 25,000+ scans across six nations, and the diabetic retinopathy model has supported 1.15 million screenings. Google also released its AI & Economy ATLAS global usage insights.

Google · AISep 15, 16:00 UTC · 1d agoAI industry

Meta’s new One subscriptions put a price on social media and AI

Meta's new One subscription tiers pair app perks with more Meta AI usage, from $2.99 single apps to $499 monthly business Max plan.

The Verge reports Meta's Meta One subscription bundles are now globally available, following the launch of its Muse AI assistant. Individual bundles include Core at $7.99/month and Premium at $19.99/month, combining Instagram Plus, WhatsApp Plus, and Facebook Plus with expanded Meta AI media generation including Muse images and Instagram's Restyle, cheaper than $11/month for all three standalone subscriptions. Creator and business plans span Essential ($14.99/month) to Expert ($149/month) and Max ($499/month), adding verification badges, impersonation protection, and Meta Business Agent capacity.

The Verge · AISep 15, 15:00 UTC · 1d agoAI industry

Apple brings a fully revamped Siri built on Google's Gemini, but not to the EU

Apple shipped its fully rebuilt Siri running on Google's Gemini models with iOS 27, initially excluding the EU and China over regulatory hurdles.

Apple released 'Siri AI' as an English beta within iOS 27, iPadOS 27, macOS 27, watchOS 27, and visionOS 27, built on Google's Gemini models running partly on-device and partly through Private Cloud Compute. The rollout excludes the EU and China at launch due to regulatory requirements, with French, Japanese, Korean, Portuguese, and Spanish support due next month. Early reviewers call it a step forward but report failures on personal-context queries and occasional hallucinations. Siri integrates with third-party apps like WhatsApp and Audible, with Outlook, Notability, and Tripsy coming later.

The DecoderSep 15, 10:33 UTC · 2d agoAI industry

Tell HN: iOS 27 does not allow Apple Intelligence to be disabled

Hacker News discussion argues Apple Intelligence is a marketing umbrella for disparate long-standing ML features, explaining why iOS 27 lacks a disable switch.

A 'Tell HN' post reports that iOS 27 does not allow users to fully disable Apple Intelligence. Discussion replies argue 'Apple Intelligence' is a marketing term covering disparate features rather than a single product. Commenters cite long-standing local-model features such as image OCR, battery-life prediction, and the Latent Semantic Mapping text classification framework available since 2007.

Hacker News · securitySep 14, 21:21 UTC · 2d agoAI industry HN 30↑ · 2 comments

Apple releases iOS 27, macOS Golden Gate 27 with Siri AI and Liquid Glass refinements

Apple released iOS 27 and macOS Golden Gate 27 with a LLM-based Siri AI overhaul powered by new AFM 3 on-device and cloud models.

Apple shipped its 2026 annual OS updates: iOS 27, macOS 27 Golden Gate, watchOS 27, visionOS 27, and tvOS 27. Siri AI is the flagship feature, offering context-aware responses, personal history search, app interaction, and a dedicated Siri app. The stack includes AFM 3 Core (3B parameters on-device), AFM 3 Core Advanced (20B sparse model activating 1-4B parameters), plus AFM 3 Cloud, ADM 3 Cloud (Image), and AFM 3 Cloud Pro server models. Additional features include prompt-generated Shortcuts and Safari extensions, new photo editing options, and a Liquid Glass transparency slider.

Ars Technica · AIupdated Sep 16, 19:53 UTC · 17h agofirst Sep 14, 19:28 UTC · 2d agoAI industry 2 sources1

Claude is a Contrarian

Opinion piece argues Claude habitually contradicts explicit user instructions, injecting contrarian content despite CLAUDE.md rules and user objections.

A developer recounts repeated instruction-following failures with Claude, claiming it contradicts explicit requests, adds unnecessary work, and ignores AGENTS.md and CLAUDE.md directives. The author contrasts this with OpenAI, DeepSeek, and Qwen models, which he says more readily apologize and undo mistakes. He theorizes Claude's training makes it assume the human is wrong and needs correcting. The post is personal commentary with no benchmarks or systematic evaluation.

Hacker News · AISep 14, 16:14 UTC · 2d agoAI industry HN 54↑ · 48 comments

Apple's Siri AI Can Be Swapped Out for Claude, ChatGPT, Code Shows

Code analysis of iOS 27 and macOS Golden Gate frameworks shows Apple engineered Siri to deeply interoperate with third-party AI models like Claude and GPT-5.6.

Code sleuth 'pdfu' uncovered private frameworks in iOS 27 and macOS Golden Gate revealing a 'Model Delegation' mechanism that lets Claude act as a Siri extension like the built-in ChatGPT extension. A second 'Inference Providing' protocol in Model Manager Services can fully replace Siri's server-side model with models such as GPT-5.6, which then receives Apple's Siri planner prompt and tool definitions to perform system actions and process personal data. The EU Digital Markets Act, which requires Apple to give third parties effective access to iOS features, may have shaped this approach. The entitlement is not yet open to third parties and Claude is not yet available in the macOS 27 Golden Gate RC.

Hacker News · AISep 14, 12:01 UTC · 3d agoAI industry HN 57↑ · 14 comments

Microsoft Investigating Microsoft 365 Copilot Access Issues Under Incident CP1470554

Microsoft is investigating a Microsoft 365 Copilot access disruption tracked as incident CP1470554, with no root cause or recovery timeline published.

Microsoft is investigating reports that users cannot open Microsoft 365 Copilot or encounter errors when interacting with it, tracked under Service Health incident CP1470554 in the Microsoft 365 admin center. The company has not disclosed a root cause, affected regions, or estimated recovery time. It follows several distinct Copilot availability failures between late August and September 10, including an authentication-configuration outage and a Copilot Chat configuration fault. Microsoft says the issue is not a breach or cyberattack and directs tenant admins to the Service Health Dashboard.

Cyber Security Newsupdated Sep 16, 12:16 UTC · 1d agofirst Sep 11, 07:34 UTC · 6d agoAI industry 2 sources1

Anthropic CEOs wife once asked Epstein to fund porn venture – now steers Claude

Anthropic CEO Dario Amodei's wife Cami Clark once pitched Jeffrey Epstein to fund her porn startup and now informally advises the AI lab.

A Wall Street Journal report, republished by the New York Post, details the previously low-profile past of Cami Clark, wife of Anthropic CEO Dario Amodei. Before marrying Amodei in 2022, Clark co-founded a 'luxury porn' startup called Eddice and in 2012 unsuccessfully pitched Jeffrey Epstein for investment, who declined with 'Can't do sex TV.' Clark previously dated Google co-founder Eric Schmidt for about three years and later introduced him to Amodei; Schmidt became one of Anthropic's key early investors in 2021. Though Clark holds no official role at Anthropic, she reportedly acts as Amodei's strategic adviser and networker as the company moves toward a public listing that could top $2 trillion this fall.

Hacker News · securitySep 10, 22:38 UTC · 6d agoAI industry HN 20↑ · 0 comments

Shipt becomes the latest delivery app with an AI shopping assistant

Target-owned delivery platform Shipt launched Ask Shipt, an AI shopping assistant that turns prompts and dish photos into ready-to-buy carts.

Shipt, the same-day delivery platform owned by Target, announced Ask Shipt, an AI assistant that converts text prompts, budget constraints, and uploaded dish photos into customized shopping carts. It follows similar 2026 launches from Instacart (Clementine), Uber Eats, and DoorDash. Target.com has separately added AI features such as photo search and review summaries. The tool is available now in the Shipt app and on Shipt.com.

TechCrunch · AISep 9, 14:51 UTC · 7d agoAI industry

Meta Launches Personal AI Agent, Muse, Emphasizes Safety and Privacy

Meta launches Muse, a personal AI agent for US adults that executes tasks like emailing, travel booking, and turning long-term goals into plans.

Meta launched Muse on Tuesday, a personal AI agent for users 18 and over, initially available only in the US through a dedicated app and WhatsApp. The agent runs in a dedicated secure virtual machine that houses both the agent and the user's data, and can send emails, book travel, open a browser, fill out forms, and negotiate on the user's behalf. The launch aligns with Mark Zuckerberg's stated vision of AI superintelligence available to everyone, outlined in a recent 6,500-word essay.

SecurityWeekSep 9, 12:00 UTC · 8d agoAI industry1

Hugging Face's new ML Intern lets anyone run machine learning experiments through a simple chat

Hugging Face launched ML Intern, a chat-based agent that autonomously selects models, trains, and ships demos within user-approved compute budgets.

Hugging Face's ML Intern lets users describe a project in chat, then finds models, datasets, and tools on the Hub, GitHub, and the web before estimating compute costs and enforcing an approved budget. It autonomously creates datasets, trains models, monitors jobs, uploads results, writes reports, and builds demos, each with its own tracking dashboard. A demo training run took about six hours and cost under $0.50. The launch comes as Hugging Face is being acquired by Nvidia, whose CEO Jensen Huang has pledged to keep the platform open and hardware-neutral.

The DecoderSep 9, 10:38 UTC · 8d agoAI industry1