Investment underscores CoreWeave's continued push to build open, cloud native infrastructure for production AI at scale Key Highlights CoreWeave has upgraded...
New research released finds 75% of cloud native developers use AI coding tools, compared to 55% of non-cloud native developer peers Key Highlights: CNCF and...
Adobe is embracing AI in an effort to make its suite of creative tools more powerful and efficient than ever. But the company also recognizes that not all of its customers want to use AI in their work.
Ricursive Intelligence introduces Ripple-65B Preview, a 65B parameter dense Transformer model pretrained on 12 trillion tokens with support for up to 1M context length. Ripple-65B Preview delivers strong results on agentic coding, scoring 80.52 on TerminalBench 2.1 and…
eBay appears to have blocked AI agents, including Meta's Muse, from browsing on the platform - the latest speed bump in the AI agent race. A reader tells The Verge that for several weeks he's had his Muse agent browse and curate a daily digest of watches for sale on platforms…
Cross-dataset transfer in rice leaf disease classification remains a significant challenge, with models trained on one image collection performing substantially worse when deployed on another. We conduct a systematic benchmark across three Bangladeshi rice leaf disease datasets…
Researchers across academia increasingly base significance claims on LLM judge scores and small-sample AI evaluations. Yet without well-calibrated confidence intervals (CIs), hypothesis tests, and judge-bias corrections, such claims are unreliable. We address these issues in…
Small open-source large language models (LLMs) in the 0.6B-4B parameter range are increasingly deployed for structured output generation (JSON, function calling, data extraction), yet little is known about how constrained decoding (CD) interacts with model scale in this regime.…