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Sep 262026Saturday

07:14
latent_spaceSep 26 07:14
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#newsletter #Industry news #OpenAI #Anthropic
05:58
gary_marcus_the_road_to_ai_we_can_trustSep 26 05:58
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#analysis #Safety / alignment #OpenAI #English text is being prepared.

Sep 252026Friday

22:34
newcomerSep 25 22:34
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#ai-news #Industry news #Agents #OpenAI

Sep 222026Tuesday

22:35
ed_zitronSep 22 22:35
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#ai-news #Industry news #English text is being prepared.#English text is being prepared.
06:13
Latent SpaceSep 22 06:13
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it as a System One large programmatic model oriented toward code consumption, with its core innovation being an unpublished RLCD (reinforcement learning for calibrated decision-making), optimized for "intelligence per dollar" rather than human preference feedback.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.
-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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#newsletter #Industry news #Agents #Reasoning