Destination
What the EU AI Act Doesn’t Tell Founders About Training Data

Article 50 of the EU AI Act requires an AI system to disclose that a person is talking to a machine. It says nothing about what happens to that conversation once the disclosure is made. Founders building products on top of a foundation model focus on accuracy and price. The question of what happens to their users' data once it leaves their product and is processed by a third-party model rarely comes up during vendor selection. The rule became enforceable on August 2, 2026, and fines for… [...]

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venturebeat
Baseten takes on hyperscalers with new AI training platform that lets you own your model weights

Baseten, the AI infrastructure company recently valued at $2.15 billion, is making its most significant product pivot yet: a full-scale push into model training that could reshape how enterprises wean [...]

Match Score: 77.65

venturebeat
Mistral AI launches Forge to help companies build proprietary AI models, challenging cloud giants

Mistral AI on Monday launched Forge, an enterprise model training platform that allows organizations to build, customize, and continuously improve AI models using their own proprietary data — a move [...]

Match Score: 57.17

venturebeat
Amazon and Chobani adopt Strella's AI interviews for customer research as fast-growing startup raises $14M

One year after emerging from stealth, Strella has raised $14 million in Series A funding to expand its AI-powered customer research platform, the company announced Thursday. The round, led by Bessemer [...]

Match Score: 44.96

venturebeat
Nvidia's Nemotron-Cascade 2 wins math and coding gold medals with 3B active parameters — and its post-training recipe is now open-source

The prevailing assumption in AI development has been straightforward: larger models trained on more data produce better results. Nvidia's latest release directly challenges that size assumption â [...]

Match Score: 41.38

venturebeat
Meta’s DreamGym framework trains AI agents in a simulated world to cut reinforcement learning costs

Researchers at Meta, the University of Chicago, and UC Berkeley have developed a new framework that addresses the high costs, infrastructure complexity, and unreliable feedback associated with using r [...]

Match Score: 41.24

venturebeat
AI agents fail 63% of the time on complex tasks. Patronus AI says its new 'living' training worlds can fix that.

Patronus AI, the artificial intelligence evaluation startup backed by $20 million from investors including Lightspeed Venture Partners and Datadog, unveiled a new training architecture Tuesday that it [...]

Match Score: 39.17

venturebeat
Google Cloud takes aim at CoreWeave and AWS with managed Slurm for enterprise-scale AI training

Some enterprises are best served by fine-tuning large models to their needs, but a number of companies plan to build their own models, a project that would require access to GPUs. Google Cloud wants [...]

Match Score: 38.20

venturebeat
Microsoft built Phi-4-reasoning-vision-15B to know when to think — and when thinking is a waste of time

Microsoft on Tuesday released Phi-4-reasoning-vision-15B, a compact open-weight multimodal AI model that the company says matches or exceeds the performance of systems many times its size — while co [...]

Match Score: 37.93

venturebeat
Nous Research's NousCoder-14B is an open-source coding model landing right in the Claude Code moment

Nous Research, the open-source artificial intelligence startup backed by crypto venture firm Paradigm, released a new competitive programming model on Monday that it says matches or exceeds several la [...]

Match Score: 37.84