Snowflake reported product revenue of US$1.49b last quarter with 37% growth and raised its fiscal 2027 product revenue outlook to US$6.07b, while outlining a path toward GAAP profitability in Q4 fiscal 2028 and rolling out extensive AI agents, governance tools, and real-time data automation features across CoCo, CoWork, and Cortex. The combination of higher guidance, detailed AI agent capabilities, and partnerships such as Oracle Cloud Infrastructure, ZoomInfo, and USA Cycling indicates that...
A newly flush AI infrastructure startup is making a major bet on Manhattan office space. Modal Labs has signed a lease for 156,673 square feet at 32 Avenue of the Americas, a sprawling commitment that lands just weeks after the company closed a massive funding round and crossed a major revenue milestone.
Explore garak, the open-source generative AI vulnerability scanner. Learn its probe, detector, and generator architecture for model red-teaming and audits.
Companies must abide with denied parties list and not trade with bad actors. Often, however, companies find out late in their process that this about to occur.
Reports indicate Gemini 3.8 Flash is deployed internally at Google and could ship in weeks. Here is a breakdown of the rumors, release window, and whether it can beat Fable 5. - Read in Google AI News on NPowerUser
Kimi K3.1 Pro is an open-weight, natively multimodal agentic model, and our most capable 3T-class model to date. Post-trained from Kimi K3 with large-scale joint reinforcement learning across hundreds of downstream domains, it is the first model in the K3.1 series. With a…
datasette #3046: Don't serve link: rel=next HTTP headers to Firefox for HTML pages I was looking at the Firefox network panel today when I noticed that requests to a Datasette table page were triggering an HTTP prefetch to the next page of rows in that table. This was happening…
Quantum machine learning (QML) is increasingly recognized as one of the most promising near-term applications of quantum computing, viewed as a next-frontier candidate beyond purely classical approaches. Hybrid quantum-classical models operationalize this potential by embedding…
LLM agents translate natural-language context, which may include attacker-controlled text, into privileged tool calls, so authorization must remain effective even when an agent is prompt-injected or adversarially steered. The Model Context Protocol (MCP) has become a widely…
Knowledge distillation (KD) aims to compress high-performance teacher LLMs into lightweight students. However, distilled students often exhibit substantial performance degradation in out-of-distribution (OOD) settings, a critical gap that remains underexplored. We identify two…
We describe ufakzeka-1, a 151M-parameter (182M with embeddings) decoder-only Turkish language model pretrained from scratch on 13.5B tokens of openly licensed text and instruction-tuned for chat, at a total cost of about \$286 in cloud GPU, API and notebook time. The…