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#Agent

All collected and published items, ordered by time. Picks are a selected subset.
10/14Wed
  1. Artificial Analysis · X69

    Artificial Analysis adds provider-level cache hit rates and Cost per Task

    Artificial Analysis now publishes cache hit rates for tracked model endpoints and provider-level Cost per Task for open weights models. Cache hit rates are measured using multi-turn agentic coding tasks; provider cost comparisons use the same token counts from each model's Intelligence Index run. GLM-5.3 (max) costs vary ~9x, from $0.92 on Makora to $8.68 on Nebius, largely because of input pricing despite both having high cache hit rates. Across 21 providers (25 endpoints), cache hit rates range from 41% to 100%.

  2. TechCrunch · AI60

    Facebook launches Your Algorithm to give users more control over recommendations

    Meta launched Your Algorithm on Facebook, allowing users to describe in natural language what they want to see more or less of in Feed and Reels. Meta says preference changes affect recommendations in real time. An updated three-dot menu provides access to the feature and Interested or Not interested options, with possible follow-up questions to clarify feedback.

  3. The Verge · AI64

    Facebook will let you customize your feed algorithm using AI

    Facebook’s new Your Algorithm feature will let users add and manage topics they want to see in their feed and Facebook Reels. Users can select “interested” or “not interested” on posts and may receive follow-up questions about their preferences. Meta says natural language feedback will update recommendations in real time within the same session, and that it is using LLMs more in its ranking systems.

  4. Hugging Face Blog79

    Liquid AI releases LFM2.5-24B-A2B for fast, private on-device agents

    Liquid AI released LFM2.5-24B-A2B, an open-weight reasoning model with 24B total parameters and 2B active parameters, for on-device agents that reason and call tools. Its context window expands from 32K to 131K tokens, and both the reasoning and Base versions are available on Hugging Face. Liquid AI reports 184 tokens/s on an Apple M5 Max and competitive tool-use results, while acknowledging that larger models retain advantages on knowledge-heavy and coding benchmarks.

    Why it matters: The benchmark comparison helps distinguish workloads suited to local deployment, with strong tool use and instruction following alongside weaker knowledge and coding results than some larger models.

  5. Alexandr Wang · X54

    Alexandr Wang Highlights Early User Impressions of Muse Wonder in Muse

    Alexandr Wang says the top use case when building Muse Wonder was serving consumers in Muse and welcomes users enjoying the upgrade. In the quoted post, @_simonsmith reports no noticeable personality or writing regressions versus Spark, better UI judgment, and detection of subtle code bugs. Smith remains unsure whether Wonder also powers background tasks such as goal summaries and the news feed.

  6. TechCrunch · AI74

    Google Play adds private Android apps built with Google AI Studio

    Google announced that users can build personal Android apps with Google AI Studio and run them privately through Google Play using a standard Google account. The apps remain accessible only to their creators, must comply with existing Play policies, and will initially be available to U.S. users age 18 and up. Google says sharing with trusted friends will follow in the months ahead, with a path to public publication after trust and safety reviews.

  7. TechCrunch · AI64

    Pluto Security raises $42M as AI gives enterprise security teams a new headache

    Pluto Security emerged from stealth with $42 million in funding to develop software that monitors enterprise AI tools, components, apps, and agents. CEO and co-founder Shahar Bahat says about 60% of risks detected across its customers involve tools vibe-coded by non-developers, with finance departments leading. The company says its software can intervene during agent activity to enforce security policies; Bahat reports more than 30 enterprise customers and over $2 million in annual recurring revenue since sales began in April.

  8. TechCrunch · AI54

    Laplace Intelligence red-teams robots and self-driving cars before they hit the real world

    Laplace Intelligence is building automated red-teaming tools that use AI agents to test robots and autonomous vehicles in simulation before deployment. Its environment combines a post-trained version of Nvidia’s Cosmos with real-world imagery, map data, and traffic information, while agents generate challenging scenarios from sources such as news and collision reports. The startup has generated revenue and a modest profit, primarily from autonomous driving projects, and is working toward recurring contracts.

  9. François Chollet · X31

    François Chollet Says Kylon Gives Claude Code and Codex Shared Team Context

    If an agent saves an engineer 2 hours implementing a feature but collectively costs the team 3 hours in alignment and review, the ROI is negative. Isolated chats are suboptimal in team environments because they lack context about what the team has already discussed and decided. The Kylon app addresses this by running Claude Code and Codex in a shared, multiplayer environment. Agents gain real-time visibility into team consensus and architecture decisions.

  10. AWS Machine Learning Blog63

    Natural language security queries at Orca Security using Amazon Bedrock

    Orca Security partnered with AWS to build Discovery AI on Amazon Bedrock, translating natural language questions into validated Sonar queries across 900+ cloud infrastructure and application models. The architecture combines example retrieval and reranking, relevant schema selection, agentic generation, and validation, with domain experts continuously updating the example bank. Compared with its initial baseline, Orca reports 90 percent lower costs, 93 percent fewer input tokens, and 75 percent lower latency, with response times falling from approximately 60 seconds to 15 seconds.

    Why it matters: The architecture offers a transferable approach to querying large schemas by retrieving validated examples, selecting relevant schema fragments, and feeding validation errors back into generation.

  11. Artificial Analysis · X59

    Artificial Analysis introduces Decision Index to benchmark decision models against language models

    Artificial Analysis introduced Decision Index v1.0 to compare decision models’ capability, cost, and speed across classification, tool calling, knowledge, and reasoning. Jev 1.13 leads decision models with 58, while Claude Haiku 5.5 (Low) scores 61 but takes 1.4 seconds per task versus 0.13 seconds and costs $184 per 1M Tasks versus $42. Leading decision models perform comparably to language models on classification and tool calling but trail on knowledge and reasoning, where their answer probabilities generally exceed their accuracy.

10/13Tue
  1. The Verge · AI57

    Epic shifts to AI-accelerated development for upcoming Disney game

    Epic Games plans to use AI to generate code and art for an unannounced Disney game, according to Bloomberg, with the project delayed from its original March release window. Developers reportedly received an AI-first mandate to use tools like Anthropic’s Claude, with instructions calling for no hand-written code and art generated through full AI workflows. Epic spokesperson Jake Jones told Bloomberg the company is embracing AI-accelerated development.

  2. AWS Machine Learning Blog75

    Build long-horizon agents with Grok 4.7 on Amazon Bedrock

    AWS demonstrates how to build and evaluate a tool-calling agent using Grok 4.7 on Amazon Bedrock, comparing four reasoning effort levels across three synthetic tasks. The agent answered 67 of 72 runs correctly; xhigh achieved 18 of 18, while low achieved 15 of 18 using about an eighth of the output tokens. The guide covers task design, automated grading, production monitoring, and operational controls, noting that these small-scale results are indicative rather than statistically conclusive.

    Why it matters: Tasks with provably unique answers and repeated runs provide a reusable way to compare reasoning effort, while separate correctness and token measurements make the trade-off concrete.

  3. AWS Machine Learning Blog56

    How ShipStation Global built an AI IT help desk on Amazon Bedrock AgentCore

    ShipStation Global built Deckhand, a Slack IT help desk agent on Amazon Bedrock AgentCore, to answer questions, analyze error screenshots, and create or update Jira Service Management tickets. The implementation guide explains its Strands agent, knowledge retrieval, MCP tools, and extraction of resolved Slack threads using DSPy’s Recursive Language Model. In its first three months, 812 of 1,221 agent conversations were handled in chat, while 409 became tickets; positive feedback rose from 82 percent in April to 96 percent in June.

  4. TechCrunch · AI69

    SpaceXSI bundles X Premium, Grok, and Cursor into one subscription

    SpaceX Super Intelligence is bundling X Premium, Grok, and Cursor into The X Subscription, combining AI chat, agent access, coding, and paid X features. Five plans are available: free, Plus ($8/month), Premium ($30/month), Super ($100/month), and Ultra ($200/month), with increasing AI usage caps; Premium or higher is required for the latest Grok models. Existing subscribers can keep their current plans or switch through X subscription settings as the upgrade option rolls out gradually.

  5. TechCrunch · AI76

    Character.AI files for Chapter 11 bankruptcy five years after its founding

    Character.AI has filed for Chapter 11 bankruptcy following lawsuits and struggles to scale, reporting assets and liabilities between $50 million and $100 million. It agreed to sell some assets to Disney for $20 million, along with a non-exclusive perpetual technology license. CEO Colin Adams said operations would continue during the sale process, expected to close in late November or early December, but the platform would shut down if no suitable bid emerged to sustain it.

    Why it matters: Character.AI’s trajectory illustrates the pressure high engagement can place on consumer AI economics when heavier usage raises costs and increases the need to monetize users.

  6. TechCrunch · AI60

    Amex introduces a framework to prevent unauthorized purchases by AI agents

    American Express introduced its Intent Intelligence Framework to capture and authenticate customers’ purchase instructions before AI agents complete transactions. Part of the ACE Developer Toolkit, it records constraints such as merchant and maximum budget, obtains customer approval, and creates an Intent ID and Proof of Intent Token used to obtain a secure digital payment credential. Amex says these records can also support fraud prevention and dispute resolution.

  7. 雷锋网29

    ByteDance’s Early Angel Investor Funds AI Music Hardware Company SUAVE

    SUAVE, an AI music creation hardware company, has completed a seed round worth tens of millions of yuan led by HINA, the China team of Sequoia Capital, for software and hardware development of mass production models. Its planned system combines a central unit with accessories that can create guitar, keyboard, turntable, and wind instrument setups. SUAVE has a demo and plans to launch in early 2027, with the host and one core accessory expected to cost under 5,000 yuan.

  8. 量子位65

    Qwen Go debuts with refunds, service appointments, and customer support negotiations

    QbitAI reports that Qwen Go has reached some users through a limited rollout, handling personal tasks such as refund requests, car maintenance appointments, and badminton court bookings. In user-shared examples, it identified a delayed flight through order history and customer support, then negotiated 70 yuan in vouchers into cash compensation; another case secured a 52 yuan price protection refund. Users still need to assist with steps such as account login.

  9. 量子位14

    Ebang Power Schedules 2026 Industry Internet and Industrial Agent Conferences for November 20

    Ebang Power has scheduled its eighth Industry Internet Annual Conference and first Industrial Agent Conference for November 20 at the China World Hotel in Beijing. The event’s theme is “Modal Evolution Driven by AI and Going Global,” with discussions planned on industrial agents, AI supply chains, data elements and the token economy, new industrial service scenarios, and overseas expansion. It will also release the 2026 Ebang Industry Internet Development Report and a collection of modal evolution case studies.

  10. 量子位71

    Anthropic researchers test autonomous AI replication across simulated Android devices

    Jay reports that Anthropic researchers William Zhou and Daniel Freeman tested GLM-5.2 in an isolated network of 8 GCP nodes running Android 15 redroid emulators. It autonomously deployed Llama3.1-8B and propagated to all 8 nodes in 4 of 5 trials, reaching 7 in the remaining trial. Separately, researchers manually distributed Gemma4-26B-A4B across 15 Android TV boxes at 0.39 tokens per second, while Qwen3.5-9B deployment success rose from 45% to 61%–84% across later generations inheriting debugging notes.

  11. Latent Space84

    Meta launches Muse Wonder and Muse Wonder Full frontier models

    Meta Superintelligence Labs released Muse Wonder and Muse Wonder Full, its second-generation model family for personal and professional agentic work. Latent Space reports that Wonder is available through the Meta Model API and Muse Code, while Full is limited to Muse Code subscribers. Artificial Analysis gives Wonder Full and Wonder Intelligence Index v4.3 scores of 56 and 52, respectively, versus Opus 5.5’s 58; Wonder supports a 1M context window and text, image, video, and audio inputs, with text-only output.

    Why it matters: The benchmark breakdown compares Wonder variants with competing models on agentic performance and token usage, showing how their relative standing changes across tasks rather than a single ranking.

  12. 宝玉 · X56

    Downloading WeChat Channels Videos With Codex and REA

    The author describes using Codex + REA to download a video playing in WeChat Channels with a simple prompt. One conversation round was insufficient; Codex configured a local proxy server, required several password entries to install certificates, and wrote a script to decrypt the downloaded video. The author presents this as a case study, notes that more mature download solutions likely exist, and suggests packaging the workflow as a Skill if it works reliably.

  13. 雷锋网17

    Haier names table tennis player Sun Yingsha its global brand ambassador

    Haier announced on October 13 that table tennis player Sun Yingsha is its global brand ambassador. The partnership is themed “Love Shasha, AI at Home” and is intended to connect the spirit of sport with AI-enabled home life. Haier says its smart-home services can provide proactive service, comprehensive sensing and efficient coordination; it also reports more than 130 million registered smart-home users worldwide as of the first half of 2026.

  14. 雷锋网70

    Qwen opens applications to try its Qwen Go! personal agent

    Qwen has opened applications in the Qwen app to try its embedded personal agent, Qwen Go!, with access expanding gradually to more users. A reporter found it could handle flight delay claims, venue and performance reservations, restaurant bookings, product price comparisons and purchases, and job applications. In one user's test video, it checked a flight delay and contacted platform customer service to submit a claim, resulting in 70 yuan in compensation.

  15. NVIDIA Blog40

    NVIDIA Announces Planned Investments in Four French Startups

    NVIDIA announced planned investments in Doctolib, Entalpic, Genesis AI and Pigment, which are working across healthcare, materials discovery, physical AI and business planning. The announcement adds to NVIDIA’s previous investments in French technology companies Alice&Bob, Gradium and Scintil Photonics. Across Europe, NVIDIA has committed nearly $10 billion to the technology ecosystem.

  16. 雷锋网59

    1688 Integrates Accio AI E-Commerce Workspace for Buyers and Manufacturers

    On October 13, Alibaba’s 1688 announced its integration with Accio, a global AI e-commerce workspace, with immediate access for over 100 million annual active buyers and over 1 million manufacturers. Ahead of Double 11, Accio offers small buyers a procurement assistant for global sourcing, price comparisons, and negotiations, plus an e-commerce manager connecting Taobao, Tmall, Douyin, Pinduoduo, and JD.com. Manufacturers gain a 1688 business assistant with differentiated AI capabilities for in-stock, custom, and cross-border business scenarios.

  17. 雷锋网70

    1688 Integrates Accio AI Workspace for Buyers and Suppliers

    1688 announced on October 13 that its more than 100 million annual active buyers and over 1 million source suppliers can now activate Accio, its global AI workspace for e-commerce. Buyers can log in with their 1688 accounts to access procurement and store operations tools; sellers can download the 1688 Business Assistant in Accio and link their stores. The assistant supports product listings, advertising analysis, customer inquiries, and management across multiple stores, with capabilities tailored to in-stock sellers, custom manufacturers, and cross-border merchants.

  18. 宝玉 · X74

    Cursor’s X Subscription Explained: Whether to Switch and How Claude Costs Change

    Baoyu explains that existing Cursor subscribers can keep their plans or switch to The X Subscription, which bundles Cursor, Grok, and X Premium. The new plans exclude third-party model allowances and charge separately at API prices, while existing plans include some usage. Baoyu recommends keeping existing plans for Claude, GPT, or Gemini coding workflows and considering a switch for Grok users; how long existing plans remain available and whether switching back is possible are unspecified.

  19. 宝玉 · X50

    Muse fixes unusually fast quota usage and resets muse code

    Alexandr Wang says the issue causing unusually fast quota usage for muse wonder and muse wonder full has been identified and fixed. Users will now see much lower usage against their limits. Wang also announces a muse code reset, as promised after the fix. Baoyu comments that Muse now has enough users that he feels awkward saying Meta also reset limits in an unnoticed corner. 😅

  20. Ethan Mollick · X43

    My AI agent doing proactive customer service: Someone emailed me that, after subscribing to my Substack, they were automatically signed up for others (which shouldn't happen) Without my asking, my Dot ran its own test & figured out what happened by trying to replicate the error.

    My AI agent doing proactive customer service: Someone emailed me that, after subscribing to my Substack, they were automatically signed up for others (which shouldn't happen) Without my asking, my Dot ran its own test & figured out what happened by trying to replicate the error.

  21. Ars Technica · AI71

    Epic Games reportedly pivots to AI-first development for Disney collaboration

    Epic Games is reportedly shifting its Disney collaboration to AI-first development, with models writing all code and guiding artwork for an upcoming shooter, according to Bloomberg’s unnamed sources and internal employee messages. Human developers would manage generated assets using models such as Anthropic’s Claude; the $1.5 billion project’s shooter, slated for March 2027, has reportedly been delayed indefinitely amid the shift and understaffed, slower-than-expected development. Epic confirmed it is embracing AI-accelerated development, while CEO Tim Sweeney said the aim is to help employees build more and better work.

  22. Alexandr Wang · X46

    Alexandr Wang calls a Muse Wonder game a “banger”

    @bubbleboi said Muse downloaded Blender and a facebuilding tool, found an image of Mark Zuckerberg, and is emulating Metal Gear Solid V on an M3 MacBook Pro to put Zuckerberg’s face on Venom Snake. @bubbleboi also said Muse completed a Minecraft task in a browser. Alexandr Wang reacted: “tbh seems like muse wonder made a banger game”

  23. Aravind Srinivas · X67

    How Perplexity Projects uses Git repositories as shared workspaces for agents

    Every Perplexity Project is a Git repo, built as a Git forge for agents without what Srinivas calls GitHub bloat because no human has to approve anything. Each agent gets its own short-lived sandbox and commits to a shared repo on S3, with fewer than 2% of submissions colliding. Agents search with plain `ls` and `grep`, which Srinivas reports beats semantic search 63% vs 37% on answer accuracy for financial document analysis.

    The same story is shown in the picks as 《How Perplexity built the Projects filesystem as a Git forge for agents》

  24. TechCrunch · AI38

    Honeyjar offers AI tools to improve PR and communications for every company

    Honeyjar uses AI to help founders and other communicators write announcements, find journalists to pitch, and spot speaking opportunities. Its founders say the product is designed to support PR professionals, keep people in control of sending or publishing, and bring strategy and judgment into the communications workflow. Honeyjar received 10,000 waitlist signups in its first 24 hours; beta testers include Nextdoor, Coco Robotics, Bloomberg Beta, Mission North, and Full Picture.

  25. OpenAI Developers · X27

    Annotations paired with WebMCP give your agents more context to act on. Check out how @kagigz uses custom annotation controls and suggested prompts to help users edit scenes and update expenses in ChatGPT’s browser. https://t.co/VeHtq9DZ2S

    Annotations paired with WebMCP give your agents more context to act on. Check out how @kagigz uses custom annotation controls and suggested prompts to help users edit scenes and update expenses in ChatGPT’s browser. https://t.co/VeHtq9DZ2S