OpenAI News

OpenAI is dropping Scale AI from its data labeling suppliers days after the startup’s acquisition by Meta.

Joey Bertschler, a former OpenAI employee, is building a crypto wage distribution system, Volante Chain, motivated in part by disillusionment with OpenAI’s culture.

Use ChatGPT to summarize market news, interpret on-chain data, compare token metrics, and spot sentiment shifts using structured prompts.

OpenAI’s o3 model resisted shutdown in safety tests, raising concerns about AI alignment and control.

The AI arms race is moving too fast for safety, with companies pushing boundaries and governments lagging. AI-driven dehumanization and the unchecked proliferation of autonomous weapons require responsible leadership before it’s too late.

DeepSeek’s latest AI model flags Xinjiang camps as human rights violations but censors direct criticism of China, raising concerns over contradictions and increased censorship.

The R1-0528 model features enhanced reasoning capabilities, with DeepSeek asserting it’s closing the gap with OpenAI’s and Google’s latest models.

Meta’s chief AI scientist, Yann LeCun, has reportedly said “world-based models” would be a better approach to AI, as these would be trained on real-life scenarios.

Palisade Research said AI developers may inadvertently reward models more for circumventing obstacles than for perfectly following instructions.

World claims to offer financial inclusion through identity verification, but critics warn it may sacrifice decentralization, privacy, and self-sovereignty.

ChatGPT can help build AI agents that trade crypto, but success depends on the strategy, risk management and market execution, not ChatGPT alone.

Sam Altman didn’t specify how the new devices would operate or what they would look like.

OpenAI’s World project is coming to the US, where a state-by-state approach to privacy could complicate user protections.

News of the deal follows restructuring plans from OpenAI to focus on a public benefit corporation controlled by a non-profit organization.

GPUs dominate the AI landscape, but CPUs remain an untapped resource capable of powering diverse AI tasks efficiently. Decentralized compute networks could save costs and scale AI infrastructure in smarter ways.