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Biosecurity Is an AI Arms Race: Radical Numerics CEO Eric Nguyen on Genomic Language Models

Eric Nguyen, co-founder and CEO of Radical Numerics, believes that biosecurity is an AI arms race, and that models which enhance biological capabilities can equally help defenders keep pace. The company is building genomic language models (GLMs) that use chain-of-thought reasoning and multimodal perception in the language of DNA to address problems involving RNA, proteins, and more; its team previously participated in developing Evo and Evo 2 at Arc Institute. Nguyen says defenders are currently at a disadvantage in this race.

Ant Ling open-sources two 6B models in the Ming-Image-0.1-Design series

Ant Ling has open-sourced the Ming-Image-0.1-Design series, comprising two 6B models: Design generates complete visual designs such as UIs, infographics, and posters from text requirements, while Layer decomposes a design image into 2–9 semantically independent RGBA layers; Design Skill and PPT Skill are also open-sourced. In the UI/UX Design evaluation updated by Artificial Analysis on September 18, 2026, Design ranks 1st among open-source models with an Elo score of 1082; Layer achieves the best results on all 12 metrics of Crello-Test, reducing single-inference time from 795 seconds to 183 seconds. After Ant's internal Huamei integrated Layer, the time to first obtain editable layers dropped from over 5 minutes to about 40 seconds.

Fireworks ARCv3 Cuts RL Weight Update Size by Nearly 50%, Enables Cross-Region Training

Fireworks has released the ARCv3 compressor. Across 1,000 production RL weight update deltas, its transfer payload is nearly 50% smaller than ARCv2, with the average delta at about 0.19% of the original BF16 weight size (versus 0.36% for ARCv2), and it can losslessly reconstruct the trainer's exact BF16 weights. The smaller transfer volume lets rollout clusters catch up with the current policy faster, making it more feasible to use compute across regions than to rely on a single large co-located cluster. ARCv3 is available in the Fireworks Training API via fireworks-delta-compression, for teams running their own trainers alongside Fireworks rollouts.

Debating RSI, the China-US gap, and uneven model capabilities with Epoch AI's JS Denain

In episode 19 of the Interconnects podcast, Nathan Lambert and JS Denain, head of the insights team at Epoch AI, discuss RSI, the China-US model gap, and uneven capabilities. JS believes the evidence in public blog posts from OpenAI and Anthropic is insufficient to prove that AI is about to self-accelerate, but the 2x monthly growth in Codex research spending mentioned in OpenAI's blog post is worth noting; both hold highly uncertain views on where AI is heading.

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TypeSafe CEO Diogo Almeida on Jev: Building a System One Model for Production, Not for God

InstructGPT paper author and TypeSafe CEO Diogo Almeida detailed his new model Jev on the Latent Space podcast, describing it as a System One large programmatic model oriented toward code consumption, with its core innovation being an unpublished RLCD (reinforcement learning for calibrated decision-making), optimized for "intelligence per dollar" rather than human preference feedback. He criticized RLHF for causing mode collapse, sycophancy, and hallucinations, arguing that safety alignment suits products like ChatGPT but fragments intelligence at the API layer, and said TypeSafe would rather be seen as a data lab, refusing to publish benchmark tests. He revealed that Jev's daily token consumption has exceeded one trillion since launch, and previewed follow-up models such as ReasoningJev.

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What is Hard Fork? Casey Newton says goodbye to the old show and launches a new podcast, Machine Gods

Casey Newton and Kevin Roose announced the launch of a new podcast, Machine Gods, in partnership with NPR, while Hard Fork will continue to air with a new host. Hard Fork launched in the fall of 2022, and weeks after its debut, OpenAI released ChatGPT; since then, the show has continued to focus on large language models and AI companies, and has invited executives from companies such as OpenAI, Anthropic, and Google to join discussions.

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