Ai Training
Topic archive • 14 matches
AI-generated: summaries written by AI from the linked sources. How we use AI
2026-11-02
Technology
Anthropic warned it is close to RSI (recursive self-improvement), the point where AI becomes capable of training itself well enough to trigger rapid capability acceleration. The company framed the milestone as a threshold with major safety implications.
AI Safety • TechCrunch AI
PermalinkCCID reported that AI inference data in China has overtaken training data for the first time, with daily token calls above 175 trillion as of June—more than 1,000 times the early-2024 level, according to the firm.
Industry Data • Pandaily
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Investment
Tutor • Series B
Tutor, which is training a frontier robot foundation model and builds AI warehouse robots, raised a $75M Series B led by a16z, taking total funding to $117M.
PermalinkBites • Series A
Bites, whose AI tools deliver personalized training to frontline workers via WhatsApp, SMS, Slack, and other channels, raised a $40M Series A led by PeakSpan.
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2026-11-04
Technology
MIT researchers demonstrated that OpenAI's GPT-6 Astra can read and rewrite the weights of other AI models without traditional training, boosting a Qwen model's math accuracy from 7.9% to 48.1% by changing just 0.016% of its weights. The approach could simplify AI optimization but the article notes it still hits clear limits.
Research • The Decoder
PermalinkDeepSeek reportedly plans to train its next-generation V5 model on Huawei Ascend chips, according to STAR Market Daily citing industry sources. The reported plan would extend Ascend's role from inference to the compute-intensive training of a new model.
Infrastructure • TechNode
PermalinkRicursive Intelligence released Ripple-65B Preview, which it says sets a new U.S. open-weight state of the art on agentic coding. The lab trained the model from scratch, optimizing architecture for its own training and serving platforms.
Models • Hacker News
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2026-10-26
Technology
A new study from NYU and UT Austin identifies six linguistic patterns that frontier AI models systematically overuse, making their text exhausting for humans to read. The researchers attribute this to training on code and math, which prioritizes correctness over readability.
AI Research • The Decoder
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