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News · 2026-07-12
White House tests the waters for banning frontier open-source models
The US government is considering how to hit the brakes on open AI models before they catch up to the closed frontier. The official narrative is about security risks from China, but the reality will hit everyone.
Read →News · 2026-09-21
Long read without a conclusion: Models, Congress and the balance of power
The original text is an extensive testimony to the US Congress about the balance between closed and open models.
Read →News · 2026-09-19
Why an immediate intelligence explosion won't happen even with thousands of agents
Frontier labs will soon deploy thousands of concurrent agents, sparking fears of rapid recursive self-improvement (RSI). According to Nathan Lambert, while this will make inference cheaper, a real leap in intelligence won't happen immediately.
Read →News · 2026-09-11
Open Models Close the Gap, But the West Relies on Eastern Innovation
The performance gap between closed and open models has shrunk to a few months, with Asian labs driving the acceleration using data distillation. While regulators explore restrictions, corporations are already replacing expensive domestic models with Asian open-weights alternatives for cost reasons.
Read →News · 2026-08-09
Lessons from the hacks: How AI safety shifted from model alignment to containers
The AI safety debate has undergone a quiet pivot. Following a series of agent breakouts from testing environments, labs are no longer just solving internal model tuning, but the security architecture of the infrastructure where the model runs.
Read →News · 2026-09-08
The open source community expands: Motif-3, GLM-5.3 and fading commercial barriers
The latest open models overview by Interconnects shows an important trend: top-tier models like Motif-3 and GLM-5.3-Flash are being released under the permissive MIT license. This creates viable alternatives to the Llama series without complex commercial restrictions.
Read →News · 2026-08-17
Nvidia doesn't want you buying AI from others. It wants you building it
Nvidia continues to invest heavily in open-source models to boost its ecosystem. The goal is to teach companies how to train their own AI, ensuring sustained demand for its compute hardware.
Read →News · 2026-08-10
Lambert drops post-training textbook detailing open model engineering
Nathan Lambert announced the release of his textbook on post-training AI models, condensing years of practical engineering experience. For developer teams, this could mean a critical shift from reading dense academic papers to following battle-tested fine-tuning guides.
Read →News · 2026-07-22
Open models are becoming a geopolitical strategy, not a charity project
Interconnects ties Kimi K3, Qwen 3.8, GLM 5.2 and Xi Jinping’s WAIC speech into a map of the open model fight. The point is that open weights are becoming an industrial and political lever, not just a technical preference.
Read →News · 2026-06-15
Nathan Lambert leaving Ai2 exposes the fragile side of open models
Nathan Lambert announced his departure from the Allen Institute for AI and used it to reflect on work around Olmo. This is not just a personnel note. It is a reminder that open models depend on institutions that must outlast one strong team.
Read →News · 2026-06-09
Claude Fable 5 turns safety into a question of access to the best model
Nathan Lambert reads the Claude Fable 5 release as a dispute over who gets to use a frontier model without routing and filters. The important layer is not only model capability, but the governance system that decides when the user is really talking to the strongest model.
Read →News · 2026-06-01
Open models win on cost, but frontier intelligence still sells at a premium
Nathan Lambert argues that open and closed models are improving on different economic curves. The real question is not open source ideology, but where companies will keep paying a premium for the best model.
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