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NO. 021

OpenAI 被迫受限发布 GPT-5.6 系列

#TWEET_DIGEST X (Twitter) 2026.06.28
推荐指数 75.0 NO. 021 · 2026.06.28
推文22点赞153,462转发19,895Tweets22

OpenAI 推出 GPT-5.6 三代模型:旗舰 Sol 性能提升但价格不变,Terra 以半价达到 5.5 水平,Luna 主攻高速低成本场景。但原计划的开放发布被美国政府要求改为有限预览,这是首次已知的大模型发布遭行政干预。

美国政府主动干预大模型发布节奏是标志性事件,此前只有出口管制和算力限制,从未直接卡过模型上线。Sam Altman 公开点名「at the request of the US government」而非模糊的「safety review」,说明监管逻辑正在从被动审查转向主动管控。

对创业者的直接影响:依赖 OpenAI API 做产品的团队需要评估「有限预览」带来的配额不确定性和延迟风险,尤其是计划基于 Sol 做差异化功能的团队。同时,Terra 的「5.5 性能半价」信号很明确——OpenAI 在主动压缩中端市场利润,Claude 3.5 Sonnet 和 Gemini 1.5 Pro 的定价压力会立刻加大,做模型路由或中间件的团队可能需要重新算经济账。

更深层信号:如果美国政府开始常态化干预模型发布,开源权重模型和海外托管 API 的相对吸引力会上升,这对 Anthropic 和 Mistral 可能是意外利好。

@Anthropic Likes 59.1k Reposts 8.9k

RT @PeteButtigieg: This week someone targeted my family for harm with a false report. We’re physically OK, but that doesn’t mean we weren’t…

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@OpenAI Likes 37.7k Reposts 5.4k

Introducing a limited preview of GPT-5.6 Sol, our next generation frontier model, as well as GPT-5.6 Terra, a balanced model for efficient, everyday work, and GPT-5.6 Luna, a fast and affordable model for high-volume work. https://t.co/OoM83SyISN

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@sama Likes 16.8k Reposts 1.0k

Good new first: Sol is a smart, efficient, and a significant step forward. It is the same price as GPT-5.5. Also launching in the GPT-5.6 family is Terra, with 5.5-level performance at half the price. Bad news: at the request of the US government, it is launching today in limited preview instead of the open access launch we were planning on. We are working with the government to get to general availability as fast as we can. I think it is quite reasonable to roll out models--especially as they reach significant new levels of capability--in this way. It fits with our long-held strategy of iterative deployment. But this isn't quite the process that we think is optimal. Now we will with the government to attempt to get to a transparent, reliable process for early access, and to ensure that as long as our safeguards work as intended we can release widely. We want to be a reliable, dependable partner that works with all stakeholders, and we also want to live by our mission of benefiting all of humanity. I believe the government shares most of our goals, and that they are overall doing a good job in a very difficult situation. We will work as quickly as we can to get this model in your hands and we hope you will love it.

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@ylecun Likes 9.6k Reposts 955

RT @mcuban: It’s time for everyone to realize that the fight against data centers has nothing to do with data centers. They have become a…

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@ylecun Likes 6.4k Reposts 844

RT @paulg: Step 1: Invent a new extra-bad category of crime, like "hate crime" or "terrorism", with extra-harsh punishments. Step 2: Exp…

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@sama Likes 5.4k Reposts 115

in other news, we updated the 5.5 instant model used in chatgpt this week. i like its vibes.

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@ylecun Likes 4.3k Reposts 1.4k

RT @Atul_Gawande: Independent analyses estimate that your actions to dismantle USAID and drastically reduce lifesaving foreign aid have alr…

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@sama Likes 4.0k Reposts 114

team cooked, spicily

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@Anthropic Likes 3.8k Reposts 212

RT @PabloTorre: Make Watergate Great Again.

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@ylecun Likes 2.5k Reposts 192

RT @willccbb: something has definitely shifted in the past few weeks. seeing a huge uptick in large enterprises wanting to secure compute a…

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RT @googlegemma: Gemma 4 just hit 200M downloads in only 2.5 months! For context, total downloads across the entire Gemma family of models…

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@sama Likes 480 Reposts 60

RT @FoundationOAI: The OpenAI Foundation is joining Intercept as a founding partner through our AI resilience program. As AI accelerates a…

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@ylecun Likes 343 Reposts 165

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@ylecun Likes 339 Reposts 53

RT @photoroom_ML: 🚀 Meet PRX Pixel. Our new open-source 7B text-to-image model that generates images directly in pixel space. After months…

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@ylecun Likes 223 Reposts 26

RT @Dan_Jeffries1: It doesn't take much skill to game this out and see where we're going if we keep this up. Kneecap our own companies. Ga…

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@svpino Likes 222 Reposts 26

The stickiness of Claude Tag will be like anything before. Claude Tag is designed to absorb every last bit of information from your company, and it will lock you out unless you keep paying them whatever they demand for eternity. You are paying Big AI to become hostage forever. Open source is the solution. Don't marry yourself to a company. Give yourself the flexibility to swap harnesses, models, and take your data wherever you want.

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@ylecun Likes 218 Reposts 154

RT @KenRoth: The Trump administration claims that mass deportations will free millions of jobs for Americans by reducing foreigner competit…

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@ylecun Likes 169 Reposts 23

RT @RevantTeotia: 🎉 Our paper MJEPA has been accepted at #ECCV2026 !! Huge thanks to my awesome collaborators @AdrienBardes, @michaelrabba…

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@ylecun Likes 145 Reposts 13

RT @williamswjt: @ZeffMax Because Dario sees himself as the high priest of the AI era, the only one qualified to stand between the most adv…

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@ylecun Likes 120 Reposts 17

RT @Dan_Jeffries1: There will be more and more pressure and more money and lobbying behind open soon. It is not a "two big companies have…

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@svpino Likes 75 Reposts 4

We are in skill hell. We already need skills to discover other skills. 2020: Yet Another JavaScript Library. 2026: Yet Another Skill.

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@svpino Likes 51 Reposts 11

New paradigm for deep research models! Apodex-1.0-H is a new model that introduces a completely new way of working. Apodex comes in several flavors, including an open-weight Apodex-1.0-mini and 0.8B, 2B, and 4B Smol series of models. This is what's new with Apodex: 1. The model works like a team 2. It dynamically improves its own work 3. It verifies every answer First, the model works natively like a team of subagents to solve a task: You have the main agent decomposing the query and spawning specialist sub-agents on demand. All of these subagents work asynchronously. You have agents for research, verification, fact-checking, and auditing, all working together. I call this "natively" because the ability to decompose a task into multiple subagents was trained into the model. Second, the model can dynamically improve its own answers. As it works to produce an answer, the model grades it, notes where it's weak, and rewrites it based on that feedback. loop: generate → verify → revise Each pass of this loop learns from the last and improves on the answer. The grader never sees a correct answer. It's judging whether its own work holds up, with nothing to compare it to. Third, the model uses different agents to reason and verify. The obvious hallucinations are easy to catch, but those where the answers look and feel right are much harder and more dangerous. Models that check their own work have huge blind spots. The verification process in Apodex uses a separate team of subagents to score answers on several categories to determine which answer actually solves the problem. You can find the open-weight variants of Apodex on HuggingFace: https://t.co/JMLKlnq3av To see Apodex-1.0-H in action, go here: https://t.co/YSnQtSq88T Thanks to the Apodex team for partnering with me on this post.

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