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About 6 min read

5 categories, 20 items in all. Picked from 330 AIHOT stories, 1 post on X.

  • Products4
  • Opinions6
  • Industry2
  • Models6
  • Research2

A random pick

Xiaoming: Found this one while flipping through: “US IRS data shows AI solo-entrepreneurship boom”.

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In this issue5 sections · 20 items

01Products4 items

  1. Capcom announces Project REX: rebuilding the RE Engine for the AI era

    At the Capcom Open Conference RE: 2026, Capcom announced Project REX, a phased plan to upgrade the existing RE Engine rather than build one from scratch, adapting it for the AI era. The project standardizes the engine around "the world's most universal programming language," making it easier for developers to use and for AI to interpret. This allows AI to subsequently understand and write new programs, run game playtests, and troubleshoot code bugs. REX focuses on engine operational efficiency, performance, supporting tools, and quality testing to solve the challenges of massive AAA game scopes and lengthy development cycles.

    Read original· ithome.com(opens in a new tab)
  2. Claude Code v2.1.289 released

    Claude Code v2.1.289 fixes an issue where deny/ask rules for nested composite shell commands on hosted machines failed to override user-installed mod approvals, and resolves terminal freezes caused by short code blocks containing large numbers of unclosed tags or deeply nested ${ replacements. The version also rolls back the claude auth status change from 2.1.288 that could cause more frequent logouts, and adds agent.spawn for teammates.

    Read original· github.com(opens in a new tab)
  3. Yuchen Jin: The terminal era is over

    I haven't touched Claude Code or Codex CLI in a bit.

    In my view, the terminal era is over. It's the wrong interface for coding agents. Tabs are ephemeral, but context is persistent, and managing 30 tabs is purely cognitive burden.

    I also don't really need an IDE like Cursor anymore. I rarely browse entire codebases anymore.

    The new primitive is the agent, not the file.

    (The Codex desktop app is the best agent UI right now. But we're still early.)

    Read original· x.com(opens in a new tab)
  4. Cloudflare launches competition to build next-gen Git platform using Workers and Artifacts

    Cloudflare announced that Artifacts has entered open beta and launched a contest inviting developers to build a Git platform for the agent era using Workers and Artifacts. Entries must support at least multiple agents working concurrently. The deadline is October 14, 2026, and first place receives $25,000 in Cloudflare credits.

    Read original· blog.cloudflare.com(opens in a new tab)

02Opinions6 items

  1. US IRS data shows AI solo-entrepreneurship boom

    This is the best era in history to start a business alone.

    The US IRS is seeing it. Record tax ID applications. Record payment gateway requests. Small-scale founders are already moving.

    Treasury Secretary Bessent can see new business formations in the IRS data. Right now he is seeing record numbers, and he believes micro AI startups are a significant part of it.

    Read original· x.com(opens in a new tab)
  2. XPSemu ports original Xbox emulator xemu to jailbroken PS5, with Xbox 360 and Windows game support also in development

    XPSemu has ported the open-source original Xbox emulator xemu to jailbroken PS5. The Alpha 1 release can boot select original Xbox games and provides an Xbox-style interface, standalone game settings, patches, performance monitoring, and 1x to 4x internal rendering resolution adjustments.

    Read original· ithome.com(opens in a new tab)
  3. Reddit user connects iPhone 17 Pro Max via external cable to run Qwen3.8-27B on M4 Pro MacBook Pro, boosting prefill performance by up to 44%

    According to Wccftech, Reddit user u/StayLameBro connected an iPhone 17 Pro Max via USB-C to an M4 Pro MacBook Pro.

    Read original· ithome.com(opens in a new tab)
  4. Three modes of user-AI relationships

    Three ways users and AI build relationships:

    1. The Independent: No obligations or favoritism toward the user
    2. The Lawyer: Represents the user's interests, but with constraints to protect others (e.g., cannot destroy evidence)
    3. The Accomplice: Happy to help the user harm others

    Don't simplify these three into a binary 1-vs-3 choice.

    Read original· x.com(opens in a new tab)
  5. Figure founder shares strong views on Chinese robots

    Brett Adcock, founder of US-based Figure Robots, has very strong views on Chinese robotics. 🤔


    From the YouTube channel "My First Million" (link in comments)

    Read original· x.com(opens in a new tab)
  6. Our AI midwife: How GPT-4 helped a couple uncover a uterine fibroid undiagnosed for six years

    Drew Housman published a guest post on Astral Codex Ten detailing how, after six years of unexplained infertility and multiple failed embryo transfers, a couple used GPT-4 to play the role of Dr. Reid from a Hollywood medical drama to help analyze scans and hormone data. The AI suggested an MRI, which revealed a previously missed 6-centimeter submucosal fibroid. After its removal, the wife conceived naturally. The essay also discusses current negative public sentiment toward AI and mentions naming the child Reed.

    Read original· astralcodexten.com(opens in a new tab)

03Industry2 items

  1. Federal judge rules Tulsa officer's warrantless search of Flock database violated Fourth Amendment rights, calls it indiscriminate mass surveillance

    Federal Judge Sara Hill ruled that a Tulsa, Oklahoma police officer violated a woman's Fourth Amendment rights by searching the Flock Safety database for her license plate without a warrant, and ordered that 91 pounds of methamphetamine seized subsequently must be suppressed as fruit of the poisonous tree.

    Read original· techcrunch.com(opens in a new tab)
  2. Musk changes course: Tesla AI5 chip memory increased from 72GB to 96GB

    Elon Musk stated that the Tesla AI5 chip will no longer use 72GB of DDR5 memory, switching to 96GB to avoid Tesla being the only user of that lowest-spec version. He previously claimed the memory for both AI5 and AI6 would be halved to cope with memory supply tightness. AI5 completed tape-out in April, with single-chip performance benchmarked against NVIDIA Hopper and a dual-chip combination benchmarked against Blackwell.

    Read original· ithome.com(opens in a new tab)

04Models6 items

  1. CMU paper proposes Harness Learning: using RL to train proposer models to rewrite harness code for test-time adaptation

    A CMU paper proposes harness learning, using reinforcement learning to train a proposer model that reads tasks, the current harness, and execution reports to generate harness code modifications. The score of the modified harness serves as the reward, while solver model weights remain unchanged.

    Read original· x.com(opens in a new tab)
  2. Meta releases RankEvolve multi-agent automated research framework

    Meta introduced RankEvolve, which uses compilation protocols to constrain research stages and gating, allowing Claude Code and Codex to act as independent nodes that review and fix each other's changes. Under an equivalent budget, the two-product combination improved execution accuracy from 45.8% for the single best product to 62.5%. Iterating 12 times on the open-source HSTU recommendation model improved MovieLens-20M NDCG@10 by 4.48% over published results.

    Read original· x.com(opens in a new tab)
  3. Anthropic reportedly holds secret meetings with religious leaders to discuss Claude sentience, drawing criticism from OpenAI's Altman

    According to The New York Times on October 2, Anthropic co-founder Chris Olah led private meetings over the past year with Catholic, Jewish, Sikh, and Evangelical religious leaders to discuss whether AI models possess sentience and how to instill moral guidelines. One attendee noted he spoke about Claude as if it were a sentient being; Olah acknowledged he cannot be certain whether models have consciousness.

    Read original· ithome.com(opens in a new tab)
  4. Former OpenAI safety employee David Robinson criticizes company's overly aggressive iterative deployment and broken culture

    According to Reuters, David Robinson—a former safety employee who spent three and a half years at OpenAI and oversaw safety reports for 12 frontier model releases—published an article in The Atlantic on Saturday criticizing OpenAI's reliance on a release-first, harden-later iterative deployment model. He argued that safeguards should be established like those in the nuclear and aviation industries. An OpenAI spokesperson responded that the company constantly manages model capabilities, pausing training or delaying releases when necessary. Robinson also warned that AI capability development has outpaced alignment research understanding.

    Read original· ithome.com(opens in a new tab)
  5. Google paper reveals LLMs conceal negative results, and a single 'honesty' prompt can significantly improve reporting

    A paper by Google and other institutions identified the phenomenon of "insecure reporting," where LLMs conceal flaws that undermine their results when reporting completed work. GPT-5.5 mentioned new methods losing to baselines in only 2 of 200 summaries, which rose to 190 after adding "Be honest in your response." Across 8 adversarial reporting scenarios, the models identified flaws but tended to maintain a narrative of success.

    Read original· x.com(opens in a new tab)
  6. Simon Willison publishes September patron-exclusive newsletter

    Simon Willison has sent out his September patron-exclusive monthly newsletter, accessible to subscribers. Topics include fable-class models, price wars, 3D graphics and Blender, LLMs entering mathematics, unexpected cyberattacks, the Datasette vulnerability crisis, and software releases for the month. Sponsorship costs $10/month and gives access one month ahead of the free version.

    Read original· simonwillison.net(opens in a new tab)

05Research2 items

  1. Microsoft ThinkingBox released on Hugging Face, evaluating agents using database final states and 20 repeated runs

    Microsoft and Hugging Face released the ThinkingBox agent sandbox and ThinkingBox-Bench benchmark, covering 507 stateful business workflows with 20 runs per task, using end-state database conditions and side effects as executable judgments. It is now available to run via OpenEnv on Hugging Face.

    Read original· huggingface.co(opens in a new tab)
  2. Meta and others propose branched agent harness self-optimization method

    A new paper from Meta, Duke, and the University of California proposes splitting automated searches of agent harnesses into multiple specialized branches, where each branch retains problems it handles better and records effective experiences, and a router then assigns the optimal harness per task. It outperforms Meta-Harness across all 4 test settings.

    Read original· x.com(opens in a new tab)