OpenAI shares model results on the Kakeya conjecture, Exponential Time Hypothesis, and quantum chromodynamics—and how researchers can verify and build on them.
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Less than a month after its mass release of hundreds of manuscripts that it said contained solutions to long-standing mathematics questions, OpenAI is back with three more “major” discoveries in math, computer science, and physics.
The creator of OpenClaw has admitted to spending big money on AI tokens, which may impact how OpenAI investors view the company.
Months after Elon Musk declared that the xAI model would outclass Christopher Nolan’s mythological epic, the bot itself admitted defeat.
Hundreds of computer science papers rest on a conjecture that an internal OpenAI model now claims to have refuted, the company said on Monday. OpenAI announced two more results the same day, one in mathematics and one in physics.
According to Slok’s Daily Spark note, AI has so far delivered zero financial payoff to corporate America outside of tech, despite the massive amount of money and hype surrounding the latest advancements in large language model research.
How Greptile uses GPT-6 Astra to test user workflows, Daybreak to strengthen security, and Codex to reduce rework.
CodeRabbit uses GPT-6.1 Sol to investigate security risks across complex codebases. Its security agent helps developers review findings and proposed fixes.
Explore OpenAI Signals data on 165 work activities across nearly 100 countries, revealing how people use ChatGPT for work and how usage changes over time.
See how OpenAI engineers use Codex Ultrafast to investigate incidents in minutes. Explore faster security analysis, code refactoring, and daily workflows.
Fanatics uses OpenAI to help fans complete their game-day outfits with Shop the Look. Testing across roughly 30,000 MLB products showed 10% higher engagement.
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