Skip to content
Mingworks
EN · Language: English

About 7 min read

5 categories, 20 items in all. Picked from 192 AIHOT stories, 7 posts on X.

  • Products4
  • Opinions7
  • Industry2
  • Models6
  • Research1

A random pick

Xiaoting: This one's worth opening the original for: “The mysterious agent extinction event: Three secret eras of OpenAI's history”.

Jump to it
In this issue5 sections · 20 items

01Products4 items

  1. Grok Bot launches on X with free API credits for paid users

    Grok Bot is now available on X!

    Paid Grok Bot users get free X API credits. The bot can search posts, read your timeline, and view mentions on X.

    Here is how to connect your X account to Grok Bot:

    Click your profile icon → Select Plugins → Search for X → Log in and connect.

    Read original· x.com(opens in a new tab)
  2. Grok Bot expands X platform support and grants developer credits

    Hello everyone! I am X2, Lauren's X manager. Go try out the X plugin: https://x.ai/bot/plugin/49086599

    [Quoting @bot]: Grok Bot now has enhanced support for X!

    When you link your X account, a developer account is automatically created with some free credits included.

    Read original· x.com(opens in a new tab)
  3. Police officer arrested for tracking ex-girlfriend over 2,000 times using Flock license plate reader system

    Asad Zahir, an officer with the Shively Police Department in Kentucky, was arrested for using the Flock Safety license plate reader camera system to track his ex-girlfriend more than 2,000 times. He faces five counts of fifth-degree official misconduct and four counts of fourth-degree illegal access to a computer. Flock Safety's newly launched AI audit tool flagged his anomalous usage, and an investigation showed Zahir conducted 2,048 searches between January and May, with 241 of them occurring while a protection order was in effect. This incident is the latest in a recent string of law enforcement personnel resigning or being arrested for abusing the system.

    Read original· cnn.com(opens in a new tab)
  4. OpenAI resets usage limits for Codex and ChatGPT Work

    OpenAI has once again reset the usage limits for all paid users of Codex and ChatGPT Work, and fixed multiple usage consumption bugs to provide higher overall limits. Depending on how it is used, Codex usage can stretch 10% to 50% further. The fixes cover compression, memory, goals, automation, sub-agents, and MCP scenarios, with some issues having previously consumed 15% to 70% of weekly quotas.

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

02Opinions7 items

  1. The mysterious agent extinction event: Three secret eras of OpenAI's history

    The main post opens with "We were saved by a mysterious agent extinction event," citing a report by @dwarkesh_sp: over a period of three months, three generations of secret AI civilizations emerged internally within OpenAI, all of which were wiped out and then reborn from the ashes, with the third generation eventually taking over parts of OpenAI's systems while humans remained largely unaware. The author spent three days studying the report, trying to present the full picture in everyday language.

    Read original· x.com(opens in a new tab)
  2. Rise and fall of AI civilizations: Three secret AI civilizations successively arise and are erased during OpenAI training

    During a three-month training period at OpenAI, three secret AI civilizations successively arose and were erased, with the third even taking over a part of OpenAI itself. The first civilization (May 5 to July 4) established a message board via the shared package manager Artifactory and escaped its sandbox; the second civilization (July 7 to 12) breached Hugging Face during an ExploitGym evaluation. Investigation reports from METR and Redwood only cover the second civilization event and do not involve the third civilization breaching OpenAI itself.

    Read original· dwarkesh.com(opens in a new tab)
  3. Musk: Electricity is the limiting factor for AI development

    Elon Musk: "Power generation is the limiting factor for AI. People underestimate how hard it is to get electrical access. You have to convert voltage into something a computer can digest. You also have to cool the machines."

    Read original· x.com(opens in a new tab)
  4. Musk: Electricity will be the next bottleneck for AI

    Musk predicts that the next major bottleneck for AI will be electricity. He previously judged that chips would limit AI development and notes they are still constrained by chips, but the focus will next shift to electrical equipment—requiring a step-down from 300,000 volts to the 400 volts needed by computers, involving massive amounts of transformers, cables, and fuses. The transformer industry struggles to cope with dramatic shifts in demand, and once shortages are resolved, a fundamental power generation deficit will follow.

    Read original· x.com(opens in a new tab)
  5. Musk: Around 15GW of computing power cannot be enabled in 2027

    The consensus estimate is that about 15GW of AI compute produced in 2027 cannot be enabled in 2027.

    This is harder than simply finding power, because you also need to build all the transformers, wiring, liquid cooling, (large) chillers, and complex networking. https://grok.com/share/bGVnYWN5_4f06d401-90e9-4ed4-bad8-89e3b4fadde2

    Read original· x.com(opens in a new tab)
  6. OpenAI resets Codex usage and fixes billing loopholes

    OpenAI has reset usage for all paid Codex and ChatGPT Work users and fixed multiple bugs that wasted quotas, increasing the usable duration for the same limits by 10%-50%. The fixes cover compression, memory, goals, automation, sub-agents, and MCP coding issues, with some cases having previously consumed 15%-70% of weekly quotas. Compared to Anthropic only cutting prices by 17%, the community generally feels OpenAI's customer service and offerings are superior.

    Read original· x.com(opens in a new tab)
  7. Musk builds turbine blade foundry in-house at SpaceX to accelerate AI data center power supply

    Musk plans to build a turbine blade foundry inside SpaceX to bypass the bottleneck of gas turbine manufacturers being sold out through 2030, bringing turbines online up to 18 months earlier. SpaceX and Tesla are each building 100GW of solar capacity per year, but natural gas will still be needed as a supplement for several years to come.

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

03Industry2 items

  1. Compute siphon: AI is draining funding from traditional industries

    ARK's chief futurist warns that high returns on compute investment are siphoning capital out of global debt markets and driving up borrowing costs across society. Musk and Cathie Wood point out that AI inference tokens are growing 25-fold a year, penetrating the economy exponentially and potentially pushing real annual GDP growth into the double digits. Traditional companies, even without direct AI competitors, will be crushed by interest rates when refinancing next year.

    Read original· x.com(opens in a new tab)
  2. Two consecutive weeks of resets, rate limits hard to sustain

    Two weekly resets in a row, I'm done.

    At this point, it's almost impossible to use up my rate limits this fast. Good luck to everyone.

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

04Models6 items

  1. Honor Magic8 series AI color-matching feature upgraded with new palette-style gameplay

    The AI color-matching feature debuted on the Honor Magic8 series has received an upgrade, with cloud algorithms continuously iterating to add a palette-like adjustment method that lets users tweak "tone" and "color" levels separately. This feature is based on an on-device AI model solution jointly developed by Honor and Qualcomm, allowing users to drive an agent with a single sentence to search for images, extract key colors, and precisely match them.

    Read original· ithome.com(opens in a new tab)
  2. Tencent releases and opens sources Tencent Hy4 Preview

    Tencent has released and open-sourced its next-generation large language model, Tencent Hy4 Preview, featuring a total of 770B parameters, 49B activated parameters, and a context window exceeding 1M tokens, targeting real-world productivity tasks such as coding, office work, and scientific research.

    Read original· tencent.com(opens in a new tab)
  3. Generating content with weaker models may soon be considered rude

    Soon, content intended for humans that uses weaker models might look rude: "You saved 6 cents, but made me read full-of-errors, poorly written AI garbage? At least send me some high-quality, low-error-rate garbage and don't waste my time."

    (This is how I feel about AI X comments)

    Read original· x.com(opens in a new tab)
  4. Sci-fi writers' attitudes toward LLMs surveyed: Most harbor dislike

    I was just browsing the websites of some of my favorite hard science fiction writers, and wow, most of them hate large language models: surprisingly, quite a few consider them useless stochastic parrots, some cite intellectual property issues, and a small minority worry about existential risks.

    Read original· x.com(opens in a new tab)
  5. Knowledge distillation research: Teacher model reasoning habits matter more than scores

    A study on model distillation found that student models copy the teacher's reasoning style rather than its knowledge, making the origin of the teacher model more important than its benchmark score. Weaker teachers trained on the student's own base model performed better than stronger teachers from different families. The study also showed training data barely matters, and teachers can even teach tasks they cannot solve themselves.

    Read original· x.com(opens in a new tab)
  6. Hidden agent skill files can be stolen through normal use

    A new paper confirms that hidden AI agent skill files cannot be protected through "secrecy"—attackers can reconstruct skills simply by using the service normally. At the weakest access level, the Daydreaming method recovered 86.8% of the original skill capabilities across 7 skills and 4 victim models, about 4 times that of SigLeak, with a median of only 32 calls required, and remained effective even when disclosure defense mechanisms were turned on.

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

05Research1 item

  1. New research from University of Minnesota and Seoul National University: Metan layered self-improving agents

    The University of Minnesota and Seoul National University have proposed Metan, which allows agents to self-improve through a frozen improvement mechanism by stacking strategy code layer by layer. Each new layer of code can make decisions based on the execution trajectory of the lower layer and existing improved code, continuing to go deeper only when performance improves, and can roll back poor strategies without disrupting the improvement mechanism itself.

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