刚刚，OpenAI曝光GPT-6！传10万亿参数，8月强行发布
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TL;DR — A WeChat (新智元) report aggregating unverified X/SemiAnalysis rumors that OpenAI will ship "GPT-6" (codename Astra), allegedly ~10T parameters, in August, with an even larger model codenamed "Doug" by year-end. It matters as a signal that frontier labs may be returning to large-scale pretraining, but the numbers are leaks, not confirmed specs.
- Claimed specs for Astra/GPT-6: ~10T parameters (vs. GPT-4's rumored ~1.8T), a new pretraining base beyond the prior ~4T-token "Spud" run, and context possibly reaching ~1.5M tokens; release reportedly delayed by safety review.
- "Doug" is described as OpenAI's largest pretraining run yet, rumored to use NVIDIA's next-gen Vera Rubin silicon, targeted for as late as November after cybersecurity testing; a smaller run codenamed "Garlic" is framed as the validation experiment.
- The core argument: since GPT-4o, o1/o3/GPT-5/5.5 were post-training, RL, and inference-time scaling on an aging base, so a new full-scale pretrain would test whether pretraining scaling laws still deliver.
- Competitive framing: Anthropic allegedly holding "Fable 5.1" as a counter-launch at matching price, plus reported Google/DeepMind leadership departures — treat all of this as rumor; no benchmarks, papers, or official statements are cited.
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刚刚，OpenAI曝光GPT-6！传10万亿参数，8月强行发布
TL;DR — A WeChat (新智元) report aggregating unverified X/SemiAnalysis rumors that OpenAI will ship "GPT-6" (codename Astra), allegedly ~10T parameters, in August, with an even larger model codenamed "Doug" by year-end. It matters as a signal that frontier labs may be returning to large-scale pretraining, but the numbers are leaks, not confirmed specs.
- Claimed specs for Astra/GPT-6: ~10T parameters (vs. GPT-4's rumored ~1.8T), a new pretraining base beyond the prior ~4T-token "Spud" run, and context possibly reaching ~1.5M tokens; release reportedly delayed by safety review.
- "Doug" is described as OpenAI's largest pretraining run yet, rumored to use NVIDIA's next-gen Vera Rubin silicon, targeted for as late as November after cybersecurity testing; a smaller run codenamed "Garlic" is framed as the validation experiment.
- The core argument: since GPT-4o, o1/o3/GPT-5/5.5 were post-training, RL, and inference-time scaling on an aging base, so a new full-scale pretrain would test whether pretraining scaling laws still deliver.
- Competitive framing: Anthropic allegedly holding "Fable 5.1" as a counter-launch at matching price, plus reported Google/DeepMind leadership departures — treat all of this as rumor; no benchmarks, papers, or official statements are cited.