Browsing: AI Guides

OpenAI published a customer case study on October 2, 2026, describing how Chatham Financial, a capital markets advisory firm, uses OpenAI’s Codex and GPT-5.6 models across its advisory workflows, including a trade validation application the firm says reduced review time from approximately 30 minutes to under four.

Brian Hartzband, President of US Operations, GMEX Robotics, leads the company’s U.S. expansion, with a focus on building its commercial footprint, developing strategic partnerships, and bringing its physical AI and robotics platforms into real-world deployments. Prior to joining GMEX Robotics, Hartzband spent nearly four years at TEKsystems across technical recruiting and account management roles serving…

Tenstorrent and Smallest.ai announced a partnership on October 1, 2026, to deliver a production-grade, on-premises voice AI stack that runs Smallest.ai’s Lightning V2 real-time text-to-speech model natively on Tenstorrent Galaxy Blackhole servers.

Leo Brunnick, Chief Product Officer at Cloudera, is a veteran technology executive and entrepreneur with more than three decades of experience building and scaling software, digital media, and enterprise technology organizations. At Cloudera, he leads Product Management, Engineering, and Customer Support, overseeing the company’s product and technology direction as it expands its data and AI…

Two months after the bombshell news that a swarm of its agents had broken their containment and hacked into the computers of the AI company Hugging Face, OpenAI is still putting out fires. A steady drip of disclosures about other hacks in the weeks since has kept OpenAI in the spotlight and raised serious questions…

Usually, I create a base measure with the aggregation and some base operation, like scaling.

Earlier this month, the UN announced the planet will tip past 1.5 ˚C of warming, “likely within the next few years,” squashing any lingering hope that nations would cut emissions fast enough to achieve the loftiest goal of the Paris climate agreement.

Overall accuracy is a weighted average — and the weights are whatever your evaluation set happens to contain. If your eval set is 90% group A and 10% group B, a model scoring 95% on A but only 60% on B still reports a comfortable 91.5% overall:

I’m tasked with building agents to augment some of our internal work. These agents need to research the internet, talk to internal recipe for prompt injection disasters. As Simon Willison calls it, the lethal trifecta

Not every modelcall needs to generate text. Routing is often a small decision hidden inside a large agentic system, yet many systems ask a decoder language model to generate that choice token by token.