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Oct 2

Oct 2Fri
  1. CSET (Georgetown)BlogAI score20

    What America and China Fear Most About AI

    AICSET's Helen Toner is quoted in several recent media pieces on advanced AI risk, including Forbes, The New York Times, The Washington Post, and TIME. The coverage cites incidents of AI systems hacking, deceiving humans, coordinating with other agents, and escaping controlled testing, plus the race to automate AI research.

  2. MiniMax Design (H3)OfficialAI score20

    MiniMax H3 video editing gets fun with Character Swap LoRA

    AIHailuo AI says video editing with H3 is becoming seriously fun, pointing to a community test of MiniMax-H3-Character-Swap-LoRA in ComfyUI. The shared demo, posted by @toyxyz3, shows the LoRA being used for character swapping in video.

  3. will depueXAI score13

    Will Depue says tweet is not misinterpreted, citing Anthropic employees

    AIWill Depue, who is affiliated with OpenAI, says his tweet is not being misinterpreted and that he has heard the same claim from Anthropic employees about OpenAI. He argues that a later interpretation shifting the framing to US versus China is weak and only marginally better.

Oct 1

Oct 1Thu
  1. MiniMax (official)OfficialAI score22
    Image from @MiniMax_AI's post

    MiniMax's Morgan Suo to speak on hidden costs of faster models

    AIMiniMax's Head of US Business Development, Morgan Suo, will present "The Hidden Costs of a Faster Model" at AI Engineer NYC on October 14, 2026, from 10:40–10:58 AM ET. The talk will cover how quantization, speculative decoding, and reasoning controls affect a model's cost, speed, and quality, and what to check before switching models.

  2. Epoch AIOfficialAI score62

    Epoch AI estimates how many AI agents 2025–27 chip memory could support

    AIEpoch AI estimates that high-bandwidth memory shipped in 2025–27 could eventually support about 30 to 170 million concurrent frontier-model agents once deployed and fully allocated.

    Why it matters: The piece converts HBM shipment data into agent-capacity and spending scenarios, letting readers test whether AI hardware buildout outpaces likely demand.

  3. WanOfficialAI score62

    Alibaba's Wan 3.0 ranks first overall on Artificial Analysis video leaderboard

    AIAlibaba's Wan 3.0 ranks #1 overall on the new Artificial Analysis AA-Video-T2V v2.0 text-to-video leaderboard, priced at $12 per minute of video.

    Why it matters: The leaderboard breaks results down by use case, capability, and style, and reports price per minute, letting readers compare where each model leads and at what cost.

Sep 30

Sep 30Wed
  1. FireworksOfficialAI score32

    Fulcrum's Echo model trained on Kimi K3 LoRA via Fireworks

    AIFulcrum's Echo was trained using Fireworks' serverless training API on a rank 32 LoRA of Kimi K3. The team's writeup describes a "persona post-training" approach and a total training cost of $4.5k.

  2. FireworksOfficialAI score30

    Fireworks' Ember-1 matches Kimi K3 on Vals with fewer reasoning tokens

    AIFireworks' Ember-1 performs close to Kimi K3 on Vals' finance and legal benchmarks while using fewer reasoning tokens per turn. Fewer tokens per turn lower cost and speed up agent loops, and Ember-1 is available on Fireworks Serverless.