Results for “agents”

…research system that Richard says outperformed humans and their agents on optimization tasks in less than two days, as well as work on NVIDIA GPU kernels where the system discovered improvements without relying on a team of CUDA experts.…

…NPCsguided responses in text messagesJev for coding agents has an official guide jev for lintingcompacting tool callsreasonable pushback from Theo - Diogo has published a note on the Tyranny of the KV Cache that you should read as a…

…rethinking of knowledge work compensation in the age of AI agents, where traditional hourly billing models perversely incentivize slower work even as AI tools enable unprecedented speed. The Genesis: From 90% Downsizing to 10x Output The…

…the glue work, right? If you now can augment that with tokens/agents that are long-running, durable, right, then your ability to scale even what is still judgment and glue work gets amplified like coding does. Uh, so you can... Like, I’m…

…interfaces00:22:38 Building data-driven AI applications and agents00:25:59 The future of the modern data stack00:29:43 Example use cases of Slack bots powered by Cube00:30:59 Using GPT models and limitations around math00:32:44 Tips for…

…models. Post transformers, synthetic data, small models, and agents. And then the last one was the, uh, and then we also did a quick one on reasoning with Nathan Lambert. And then the last one, obviously, was the debate that people were…

…defaults and standards00:32:36 The challenges of designing AI agents00:39:43 Notion deep dive: “Blocks”, AI, and more00:51:00 Prompt engineering at Notion01:02:00 Lightning Round Podcast transcript comes at the end of this post. Recap: What…

…version of ChatGPT for a specific purpose” - stopping short of “Agents”. With custom instructions, expanded knowledge, and actions, and an intuitive no-code GPT Builder UI (we tried all these on our livestream yesterday and found some…

…payer/provider/pharma workflows, and eventually real-time agents that act before, during, and after the patient conversation. We go inside the product, data, infra, evals, workflow, privacy, and org design choices behind bringing AI into…

…framework. Folks started realizing that some of the cases where agents were failing were due to bad problem setups rather than just to models being dumb. So folks at OpenAI did a pretty extensive human data campaign hiring like almost a…

…should let you supervise the process, not just the output of AI Agents, and how they reinvented the Notebook to help revolutionize Systematic, Transparent, Unbounded Academic Research Latent.Space

…the early days of LLMs. They were great chatbots but terrible agents, as small errors compounded rapidly into uselessness. As LLMs got better, the usefulness of agents rapidly improved. Evan and Sergey argue that their models at Genesis…