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Peter Steinberger

…productivity comparison. His October 2025 essay on agentic engineering paired delegation with active intervention. When an agent took longer than expected, he would interrupt it, request a status update and decide whether to redirect it,…

Person · 2026-09-20
Person—2026-09-20
Philip Kiely

…is a software developer at Baseten and the author of Inference Engineering, a guide to running generative AI models in production. He joined Baseten in January 2022. His contributions include technical documentation, conference teaching,…

Person · 2026-09-17
Person—2026-09-17
Pranav Reddy

…demonstrations a deployed model needs to adapt to a new task or context well enough to be commercially useful; he distinguishes this practical business concept from sample efficiency during training. Reddy illustrates the framework with…

Person · 2026-09-20
Person—2026-09-20
Pratik Bhavsar

…models harder to distinguish; static scenarios offered little context carry-over or ambiguity; and aggregate results did not isolate performance by business domain. He also raised possible benchmark leakage as a concern. His framing was…

Person · 2026-09-20
Person—2026-09-20
Priscilla Chan

…Chan describes her physician experience and Zuckerberg’s engineering background as complementary contributions to this effort. In the November 2025 Latent Space interview, she emphasized the combination of scientific talent, AI research,…

Person · 2026-09-17
Person—2026-09-17
Qasar Younis

…Before Applied Intuition, Younis worked in automotive engineering, founded a startup, led products at Google and advised founders at Y Combinator. Those earlier roles provide context for the manufacturing, software and startup experience he…

Person · 2026-09-17
Person—2026-09-17
Quentin Anthony

…is an AI systems engineer and, as of September 2026, VP of AI Engineering at Zyphra, where he leads performance optimization for training and inference on heterogeneous hardware. His work includes helping scale GPT-NeoX-20B at EleutherAI…

Person · 2026-09-17
Person—2026-09-17
Quoc

…pursuing systems to automate machine-learning research and engineering. Discovery Loop: automating experimentation Dean announced the venture on August 5, 2026. Latent.Space reported the following day that Le and the three other founders…

Person · 2026-09-17
Person—2026-09-17
Rahul Ligma

…the affected column and remove unrelated tools from the model's context, focusing it on that repair. Sonwalkar recalled that file-import errors rose after the introduction of GPT-4 Turbo because generated paths incorrectly included…

Person · 2026-09-17
Person—2026-09-17
Raza Habib

…opening its LLM product to developers in October 2022. His engineering advice emphasizes treating prompts as consequential application components and measuring success against the needs of a particular product. He joined Anthropic with his …

Person · 2026-09-17
Person—2026-09-17
Reynold Xin

…accumulated compromises of a decade of expanding workloads. The engineering team used sampled historical query traces to build a machine-learning model for predicting how algorithms and implementations would perform. He said this informed…

Person · 2026-09-17
Person—2026-09-17
Rita Kozlov

…about connecting agents to external services through the Model Context Protocol (MCP). They described SDK support for authentication, tool discovery, and connection management. For servers exposing tools, the approach connected permissions …

Person · 2026-09-20
Person—2026-09-20
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