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#open-ai

@FinanceYF5: Google, Meta, OpenAI—now all major model labs have signed the coalition's joint letter supporting open AI. Anthropic still refuses to sign.

X AI KOLs Timeline · 2026-07-28 Cached

Google, Meta, OpenAI and other major AI labs have signed the coalition's joint letter supporting open AI, while Anthropic has refused to sign.

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#open-ai

@ClementDelangue: As America turns 250, we put together 250 open AI milestones from the US: open models, datasets, demos, papers, and too…

X AI KOLs Following · 2026-07-04 Cached

HuggingFace CEO Clement Delangue compiled 250 open AI milestones from the US, highlighting contributions like Transformers, PyTorch, BERT, GPT-2, and Llama, with a call to maintain openness in AI development.

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#open-ai

AI Whistleblower: We Are Being Gaslit By AI Companies, They’re Hiding The Truth! - Karen Hao

Reddit r/artificial · 2026-05-25 Cached

Journalist Karen Hao argues that AI companies like OpenAI fabricate existential risk narratives to secure funding and control, while exploiting labor and harming the environment, based on her book 'Empire of AI'.

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#open-ai

@karpathy: This is the the quote I've been citing a lot recently.

X AI KOLs · 2026-04-30

Andrew Karpathy shares a quote he has been citing recently.

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#open-ai

@williamlab: Can these models reach China? It’s the AI era—let’s drop the firewall. We carbon-based lifeforms need to stick together.

X AI KOLs Timeline · 2026-04-22 Cached

A social-media post laments AI models being blocked in China and calls for global unity in the AI era.

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#open-ai

OpenAI Data Partnerships

OpenAI Blog · 2023-11-09 Cached

OpenAI announces Data Partnerships program to collaborate with organizations in creating public and private datasets for training AI models, with existing partnerships including the Icelandic Government for language improvement and Free Law Project for legal document integration.

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#open-ai

Requests for Research 2.0

OpenAI Blog · 2018-01-31 Cached

OpenAI releases 'Requests for Research 2.0,' a new batch of seven unsolved research problems encountered during their work, ranging from LSTM training exercises to distributed RL parameter averaging and transfer learning between Atari games. The initiative invites the broader research community to tackle these challenges.

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