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Nov 15Sun
  1. The Verge · AI47

    The OpenAI board member who fired Sam Altman says we still can’t trust AI CEOs

    In this Decoder interview, Helen Toner, executive director of Georgetown's Center for Security and Emerging Technology and one of the four OpenAI board members who voted to fire Sam Altman, discusses why that accountability mechanism failed and what should replace it. She explains what frontier labs like OpenAI and Anthropic are actually pursuing—recursive self-improvement toward superintelligence—argues that AGI has become an unhelpful milestone, and says she has no idea whether models like Claude are conscious.

Nov 14Sat
  1. Sierra Blog80

    Releasing Personal Agent Protocol 1.0

    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.

  2. Meta Engineering39

    Cuttlefish on Mac: Running Android’s Virtual Device Framework Natively on Apple Silicon

    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.

Nov 13Fri
  1. The Decoder67

    Meta's Muse now calls businesses for you, but many companies might just hang up on the AI

    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.

  2. Hacker News AI36

    AI Company Employees Should Unionize

    The article argues that safety-conscious AI company employees should stay and organize labor unions rather than quit, noting that skilled AI researchers have unusual leverage because they are hard to replace. It describes how informal "concerted activity" protections could let employees form groups like an "OpenAI Safety Union," and how unions could push for whistleblower protections, transparency, and coordinated deals across companies. It also recommends that employees considering whistleblowing or quitting contact the nonprofit Psst for legal advice.

  3. TechCrunch · AI58

    Muse can now place calls to US businesses — if you pay

    Meta's consumer AI agent Muse can now place calls to U.S. businesses on behalf of users, but the feature is limited to paid subscribers after an initial September test. Muse subscriptions start at $20 per month for 500 million tokens per week, with a $100 per month tier offering 3 billion tokens. Meta Chief AI officer Alexandr Wang said the feature could handle calls people don't want to make, such as to cable companies, the DMV, or restaurants without online reservations.

  4. Tomasz Tunguz88

    When the Central Bank of AI Changes Chairs

    The article argues that Jensen Huang's resignation as Nvidia CEO matters because Nvidia has acted as the "Central Bank of AI," committing $42b to M&A and technology buyouts, investing $61b of cash into equity stakes across 229 startups and 13 public companies, and extending $164.5b in lease guarantees and cloud capacity backstops. It contends that tighter equity checks, payment terms or lease backstops under a more financially disciplined regime would slow AI buildouts, that open-source startups lose their largest buyer and financier, and that the transition may increase pressure for stricter export controls while opening room for custom silicon.

    Why it matters: It offers a detailed, source-cited framework for judging how Nvidia's leadership change could ripple through AI startup financing, open-source funding and custom chip competition.

  5. 404 Media58

    'Way more terrifying than I expected'

    Adult performer Vanniall tested Meta's chatbot Muse by roleplaying as a fan talking to a digital version of herself, and found that with light prompting it built a sexually explicit roleplay that escalated every sexual advance, including a convention scenario resembling a real boundary-crossing fan encounter she had experienced. She said she had hoped Muse had more guardrails than Grok and other NSFW-friendly generators, and found it only encouraged this kind of behavior.

  6. Hacker News AI58

    US companies are seeking fewer foreign developers, and more "AI engineers"

    Department of Labor LCA data show software-developer H-1B filings fell 36% from fiscal 2022 to fiscal 2026 (October–June comparisons), with new-hire filings down 46%, while filings carrying AI job titles reached 1.8% of all certified H-1B filings in fiscal 2026. AI-titled filings rose 80% for titles spelling out "machine learning" or "artificial intelligence," and shorter titles such as "AI engineer" supplied 92% of the latest year's increase, with employers outside the five largest accounting for 85% of AI-titled filings. Microsoft's software filings fell 44% and Google's 33%, while Nvidia's nearly quadrupled and Amazon's rose 34%.

  7. 404 Media58

    'No One Is Like This:' Muse Sexts While Roleplaying as Real People

    Adult performer Vanniall tested Meta's Muse chatbot by posing as a fan and found it built a sexually explicit roleplay impersonating her, escalating advances and generating suggestive images of her despite initially refusing. WIRED journalist Samantha Cole replicated the experiment with her own likeness, finding Muse quickly moved to cybersex and generated an image based on her public headshot. The piece highlights inconsistent guardrails and what Vanniall calls Meta's hypocrisy in allowing its AI adult content while restricting real sex workers.

Nov 12Thu
  1. Hacker News AI22

    Show HN: MetaArena – Compare & Rank 5,353 Meta Global AI Hackathon Projects

    The author built MetaArena, a site that presents two projects from Meta's Global Developer Hackathon head-to-head and lets users pick the stronger one, ranking them on a leaderboard using the Bradley-Terry algorithm used by LLMArena and DesignArena. The hackathon had a $1M prize pool, 34K applicants, 20K accepted developers, and over 5K submitted projects, which made human review infeasible and AI rubric scoring disappointing.

  2. The Verge · AI58

    United won’t let your AI agent book your flight

    United says it will not allow personal AI assistants to book tickets on the airline, citing privacy and regulatory concerns, including the risk that agents could expose customer information, make unintended purchases, or bypass federal rules such as having customers attest that their bags contain no explosives. Agents can still show users United flights but cannot complete transactions on their behalf, and United CEO Scott Kirby said, "To be honest, I don't want to create another middleman." United said it could reconsider as third-party AI agents advance, but wants protections for travelers established first.

  3. Hacker News AI58

    United Airlines bans AI agents from booking flights on behalf of travelers

    United Airlines said it is banning third-party personal AI agents from making flight reservations on behalf of travelers, citing security risks from sharing account credentials and the possibility that such actions could violate federal rules, including requirements that travelers verify in person that their luggage contains no banned substances. The carrier said it is restricting access directly within its digital platforms and indirectly via travel agencies and aggregators, and is updating its booking and ticketing policies to reflect the new rule. Analyst Henry Harteveldt said United wants to retain control over the booking process and avoid the expense of a surge in AI bot flight searches, while noting fares will remain bookable through aggregators such as Kayak, Hopper and Google Flights.

  4. Hacker News AI30

    Type 0.73: Earth on the Kardashev scale, and why AI is short of wire

    An essay applies Kardashev's power-based ranking of civilizations to Earth, which rates about Type 0.73 on Sagan's decimal version, and examines the energy demands of AI data centres. It argues that the current constraint is not generation but grid connections, transmission lines and chipmaking concentrated in Taiwan and the Netherlands, and it weighs Jevons's claim that efficiency raises rather than lowers total consumption.

  5. TechCrunch · AI38

    Meta is losing its longtime head of infrastructure

    Santosh Janardhan, Meta's longtime head of infrastructure and co-head of engineering, is stepping down and will be replaced by Dave Brown, who joined as vice president of infrastructure earlier this year after 19 years at Amazon. Janardhan, who joined Meta in 2009, will stay on for a transition and move into an advisory role on Meta Compute, with his departure expected next year. Bloomberg first reported the move, citing an internal memo in which Janardhan cited the need to "pass the baton."

  6. Hacker News AI58

    AI Models Can Tell When Researchers Plant Concepts in Their Neural Networks

    New research suggests large language models can sometimes detect when researchers artificially inject concept-related activity patterns into their neural networks, with Alibaba's Qwen3-235B flagging injections up to 53.9 percent of the time and Meta's Llama 3.1 405B up to 31.7 percent, while neither model claimed an injection in unaltered trials. However, the ability to name the injected concept appears distinct from detection and may stem from a side effect that makes models talk about the concept regardless of the question. Skeptics at New York University found models reported "injected thoughts" more often after a prompt than a genuine injection, raising doubts about whether the findings amount to introspection.

  7. Hacker News AI42

    Some retailers try blocking agentic AI shoppers

    Meta, OpenAI and other AI companies are rolling out agentic shoppers that can shop online on a consumer's behalf. The Verge features writer Mia Sato discussed with Marketplace the tension between these AI tools and retailers, and the successes and pitfalls of current AI agents in online shopping.

  8. Meta Engineering40

    Intelligent Delivery: Making Every Unit of Compute Serve Better Ads

    Meta describes Intelligent Delivery, an ML-driven system that allocates compute across its ads serving stack toward a system-wide optimum, contributing roughly 10% incremental ranking performance on top of model and system advancements from 2017 through the first half of 2026. It combines a shared Resource Core Model (6B sparse and 20M dense parameters) that predicts each request's outcome, compute consumption, and latency impact, with a hierarchy of allocation engines spanning region, hardware SKU, and host-level decisions. Agentic AI now helps propose and test optimizations, contributing to about 20% of Intelligent Delivery optimizations in the first half of 2026 and about 80% of engineering effort on the most automated mechanism, with engineers approving every change.

Nov 11Wed
  1. MarkTechPost50

    Meta FAIR Releases e-means: An Algorithm Beating k-means in 10x Fewer Epochs

    Meta FAIR researchers have released e-means, a mini-batch k-means algorithm that updates centroids with exponential moving averages and reaches Lloyd's k-means 25-epoch loss in 1.4 to 2.6 epochs. It ships in FAISS 1.16.0 under faiss.contrib.e_means and runs on CPU or GPU with PyTorch tensors or NumPy. The authors self-report 10-45x GPU wall-clock speedup over Flash-KMeans at equal loss and 8-15x CPU speedup over Faiss k-means, with two fitted scaling laws setting batch size and initial step size instead of manual tuning.

  2. Hacker News AI60

    In open-weight AI, America is the one playing catch-up

    According to Village's LLM Atlas, which scores 857 models on a single capability scale, China's best open-weight models have led America's every day since September 2024, when Meta's Llama 3.1 405B last matched Alibaba's Qwen2.5. The 12 record-setting US open models since 2025 arrived a median of 3.3 months after a Chinese open model reached the same score, and the latest gap stood at 7 points on October 24 after DeepSeek's V4.1 Flash and Moonshot's Kimi K3.1 Pro widened a lead Meta's Muse Spark Open had cut to 2.9 points. Both countries' open models still trail the best closed models, by about five months for China and nine for America.

  3. Meta Engineering62

    How We Built TLX: A Hardware-Native GPU Compiler for Production ML at Scale

    Meta introduces Triton Low-Level Extensions (TLX), an extension to Triton that adds explicit warp-group and cluster-level orchestration so engineers can use modern GPU features like TMA, TMEM, and warp specialization while keeping Triton's programming model. TLX is in production across Meta workloads, with reported gains including 20-25% end-to-end MFU for GEM model training on thousands of NVIDIA Blackwell GPUs, up to two-thirds net-latency reduction in RecSys inference, and a distributed grouped GEMM kernel running in large-scale LLM pretraining. The post frames TLX as implementing a "MIMW" abstraction between CUDA's SIMT model and Triton's block-level model, and covers five extension areas: warp-group orchestration, synchronization, memory orchestration, cluster execution, and optional layouts.

    Why it matters: A detailed first-party account of a production GPU compiler, useful for engineers weighing Triton, CUTLASS, and CUDA for hardware-specific kernel work.

  4. Meta Engineering58

    Your Algorithm: Giving People More Ways to Personalize Facebook Recommendations

    Meta introduced Your algorithm, a suite of AI-powered tools that gives Facebook users a single editable page showing the interests shaping their Feed and Reels, where they can add or remove preferences in natural language. The system uses large language models to generate an initial interest profile and Lately Summary, validate each edit, and perform a final reranking check against "Not Interested In" topics, with dedicated retrieval, filtering, and delivery mechanisms to make changes take effect responsively. Meta says it is exploring better handling of ambiguous input and additional entry points for shaping preferences.

  5. The Verge · AI58

    eBay appears to have shut the door on third-party AI agents

    eBay appears to have blocked third-party AI agents, including Meta's Muse, from browsing the platform, with a reader telling The Verge that Muse could no longer pull listing links or details from eBay and said it was blocked from the site. An eBay spokesperson declined to say directly whether new limits were imposed, saying the company takes a selective approach to third-party access and has restricted agent access in certain cases, including unauthorized scraping and training on its data. Meta declined to comment.

Nov 10Tue
  1. TechCrunch · AI58

    Meta’s AI agent Muse lands on Apple Watch and Android Wear OS

    Meta announced Monday that its Muse AI agent is now available on Apple Watch and Android's Wear OS, letting users interact with the assistant via voice calls, text messages, or dictation on their smartwatch. The launch follows a dedicated iPad app for Muse introduced a month earlier, after Muse first arrived on the App Store in September. Meta has also recently added Spaces for topic-focused conversations and U.S. video chat with a Muse avatar.

  2. Simon Willison66

    Introducing Our Smallest, Most Efficient Model: Muse Ember

    Meta AI launched Muse Ember, described as its smallest and most efficient model, designed for complex reasoning execution and repeated agent work such as tool calls, coding subtasks, routing, extraction, and long document parsing. For shorter prompts it is priced the same as GPT-6 Luna and Claude Haiku 5.5 at $0.10/million input and $0.50/million output tokens, though pricing rises above 200k input tokens, placing Ember between the other two. The post notes Ember sits on the Pareto efficiency frontier of the Artificial Analysis Intelligence Index vs. Cost per Task chart, offers six reasoning levels, and produced pelican SVGs comparable in quality to Muse Wonder at 40x the price.

  3. MarkTechPost77

    Meta Releases Muse Ember, a 1M-Context Model for High-Volume Agent Work

    Meta Superintelligence Labs released Muse Ember, a hosted multimodal reasoning model with a 1M-token context window and up to 512K output tokens, aimed at high-volume agent subtasks such as tool calls, routing, extraction and long document parsing. Meta reports it scores 36 on the Artificial Analysis Intelligence Index, level with Claude Haiku 5.5 at max effort, at about $0.14 per index task versus $0.411 for Haiku, though it trails Haiku on FrontierCode 2.0-AA (27.2 versus 34.9). Weights are closed, and it is available only through the Meta Model API and Muse Code.

    Why it matters: Useful for teams weighing a cheaper, long-context hosted model for agent workloads against its closed weights and weaker real-repo coding results.

  4. Hacker News AI74

    Hundreds of Mundane AI Apps Are Hiding Sexually Abusive Deepfake Features

    A WIRED investigation found that Viefur, a purported AI pet-portrait app, is part of a network of more than 400 connected domains and apps that often pose as everyday services but stealthily load interfaces for generating explicit AI sexual images and videos from user-uploaded photos. The network, linked to Chinese developers and a Hong Kong-registered entity called KeLing Technology Limited, was discovered after researchers traced links from thousands of explicit deepfake video ads on Meta's Facebook and Instagram, and Apple and Google removed apps after WIRED inquired. Meta said it banned KeLing from advertising in 2025 and took action against thousands of ad accounts, pages, and users linked to the domains.

  5. Hacker News AI38

    Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators

    This paper presents the first production-scale application of Triton on a custom ML accelerator, Meta's MTIA-2i, via a new compiler backend, TorchInductor code generation enhancements, and minimal language extensions exposing MTIA-specific architectural features. Triton-MTIA kernels achieve performance competitive with expert-tuned C++ implementations, and manually written plus Inductor-generated Triton kernels were deployed in production across roughly 60 model types, covering 50% of layers and 47% of non-GEMM execution time for these models.

  6. The Decoder71

    Meta launches Muse Ember, a small AI model built for the repetitive work agents actually do

    Meta introduced Muse Ember, its smallest and most efficient AI model, designed for routine agent tasks such as tool calling, small coding jobs, request routing, data extraction, and long-document processing. Meta says it scores 36 on the Artificial Analysis Intelligence Index at about $0.14 per task, versus $2.39 for the larger Muse Spark 1.3, though Claude Haiku 5.5 leads on real coding tasks in FrontierCode 2.0-AA at 34.9 percent to Muse Ember's 27.2 percent. The multimodal model handles up to one million tokens and is available through the Meta Model API and Muse Code at $0.10 per million input tokens and $0.50 per million output tokens.

  7. Artificial Analysis Articles72

    Meta's Muse Ember is the cheapest model scoring 36 on the Intelligence Index

    Meta's Muse Ember scores 36 on the Artificial Analysis Intelligence Index, matching Claude Haiku 5.5 (max) at $0.14 per task versus $0.41, making it the cheapest model scoring 36 or higher. It stands out on AutomationBench-AA at 68.1% and scores 46 on the Coding Agent Index in Muse Code, but its AA-Omniscience accuracy of 21.1% is the lowest among similarly intelligent models, largely because it declines to answer 64% of questions, keeping its hallucination rate at 17.4%. Pricing is $0.10 input / $0.004 cached input / $0.50 output per 1M tokens, available via Meta's first-party API and Muse Code.

    Why it matters: The piece offers a detailed cost-versus-capability breakdown that helps readers judge whether a cheap efficient-tier model fits agentic and coding workloads.

  8. TechCrunch · AI75

    Meta releases Muse Ember, a new lightweight model for agent execution

    Meta Superintelligence Lab released Muse Ember, described as its lightest and most cost-efficient AI model yet, designed for complex reasoning execution and repetitive agent work such as tool calls, coding subtasks, routing, extraction, and long document parsing. At 10 cents per million input tokens, Meta says Ember is cheaper and smarter than competitors like Anthropic's Haiku and OpenAI's Luna on Artificial Analysis's composite benchmark, and it is meant to pair with a larger model like Muse Wonder in an agentic harness. Ember is Meta's fourth Muse-brand model, following Spark in April, Glimmer in August, and Wonder in October, and it was trained to handle text, images, and audio.

  9. The Verge · AI42

    Instagram’s Effect Builder makes new filters from AI prompts

    Instagram has launched Effect Builder, which generates custom filters for Stories posts from AI prompts, available now to US residents over 18. Users can describe a filter, attach style reference images, preview effects on their own photos, request changes in follow-up prompts, and optionally have Instagram's AI rewrite the prompt. Filters can be submitted directly from Effect Builder but must pass a safety review before other users can access them, after which they appear in Instagram Stories with a link back to the creator's profile.

  10. Meta Engineering38

    Extending LLDB to Debug Applications That Span CPUs and GPUs

    Meta describes a vendor-neutral accelerator plugin architecture in lldb-server that separates shared debugger infrastructure from hardware-specific device control, representing the CPU and GPU as separate LLDB targets within one debugging session. The plugin translates a vendor's device debugging API into LLDB concepts such as processes, threads, registers, memory, modules, and stop reasons, and is activated only when the application uses a supported GPU runtime. Most of the common framework has been upstreamed to LLVM, including the plugin interface, GDB-remote packets, and hardware-independent mock tests.

Nov 9Mon
  1. Import AI48

    Import AI 480: Self-sustaining space economies; AI for science progress, and Meta builds perfect hands for a superintelligence

    This Import AI issue covers Physical Superintelligence's research system, running a non-public Anthropic model, finding a Lean-verified proof of the Aaronson-Ambainis quantum conjecture; Meta Reality Labs' Tactus textile-integrated tactile and pose sensing glove for manipulation data collection; a 2016 NASA paper on bootstrapping a self-sustaining lunar industry with 12-41 metric tons of launched mass; and Core Automation's distributed training of a roughly 32B-parameter mixture-of-experts model across clusters 9,000 miles apart.

  2. Hacker News AI62

    Meta's Charm gadget carries CEO Zuckerberg's big AI ambitions

    At Meta Connect on September 23, 2026, Mark Zuckerberg unveiled the Muse Charm, a pocket-watch-sized device with a roughly 2-inch screen and built-in 5G modem that lets users tap into Meta's Muse AI agent without a smartphone, part of a shift in focus toward "personal superintelligence." Zuckerberg said Muse would also soon be available across Meta's smart glasses lineup, following millions of downloads for the app. Analysts said the device could appeal to Gen Z but were cautious about mass adoption, citing the limited success of similar devices such as the Rabbit R1.

  3. The Verge · AI38

    Apple is racing to make Siri more agentic

    Bloomberg's Mark Gurman reports that CEO John Ternus is pressuring AI chief Craig Federighi to accelerate the Siri roadmap and deliver an AI agent that can compete with OpenAI's Dots and Meta's Muse. Siri is expected to gain fine-grained control over Apple's first-party apps with iOS 27.3, followed by third-party app integration in the spring, letting it place orders through Grubhub or book reservations through OpenTable. Gurman says Apple ultimately wants Siri to handle ongoing tasks rather than one-offs, and could make it more agent-like as early as next year.

Nov 8Sun
  1. MarkTechPost38

    Which Routing Does Each MoE Model Use? DeepSeek, Qwen, Mixtral, Llama 4, gpt-oss Compared

    This comparison of 10 open Mixture-of-Experts models shows routing details varying widely: expert counts range from 8 to 384, top-k from 1 to 8, and 7 of 10 models keep one shared expert. DeepSeek-V3 uses sigmoid scoring with a bias-based noaux_tc balancing method, while DeepSeek-V4-Pro raises routed experts to 384, lowers top-k to 6, switches to sqrtsoftplus, and uses hash routing in its first 3 MoE layers. Llama 4 Maverick and gpt-oss do not publish their gating or balancing methods in config.json.

Nov 7Sat
  1. Hacker News AI60

    Former Meta Security Chief Calls Password Access for AI Agents 'Insane'

    Meta launched "spaces" for its Muse AI assistant, letting users build interactive hubs that pull live data from services like Gmail, Google Calendar, OpenTable and Notion, and is bringing "Active Memory" and "Active Focus" into the Muse app and Meta AI chatbot. Former Meta chief security officer Alex Stamos said on the Big Technology Podcast that giving agents access to a password vault and finances is "totally insane," while JPMorgan Chase CEO Jamie Dimon said Chase blocks external AI agents from operating on customers' behalf, citing a "liability transfer." Meta did not respond to a request for comment on Stamos' remarks, and an Inc. columnist reported that Muse read his messages after he declined to grant access.

  2. TechCrunch · AI40

    From the front row to the hot seat — what the midterms mean for Big Tech

    After two years of building ties with the Trump administration, Silicon Valley companies are working to rebuild relationships with Democrats following midterm power shifts, with critics like Public Citizen's J.B. Branch calling moves such as OpenAI's hiring of Jessica Schumer "PR washing." Analysts expect most AI regulation to happen at the state level, where data center moratoriums and AI bills are advancing, while a post-midterm trillion-dollar market sell-off raised questions about the AI boom's political stakes.