$ articles --topic=ai-careers
AI Careers
18 AI articles about AI Careers.
[AINews] It's Swapping SeasonCovers the week's AI talent and company moves, including Cat Wu joining OpenAI, Sharon Zhou leaving AMD for Anthropic, and Meta acquiring Conductor. It also reviews OpenAI's autonomous pipeline that patched 948 Linux kernel privilege-escalation bugs and new open-weight models like Kimi K3.1 Pro and Ripple-65B.Open Models · via Latent Space · 2d ago8 minBuilding AI for Lawyers - Jacob Lauritzen, CTO of LegoraJacob Lauritzen, CTO of Legora, explains how the legal AI company builds agents for lawyers, including how it runs evals without access to customer data. The conversation also covers which tasks still need stronger models, how legal engineers and forward deployed engineers divide the work, and how AI is changing the billable hour.Agents · via Latent Space · 5d ago9 minBuilding Legal Agents When You Can't See the Data - Jacob Lauritzen, CTO of LegoraA podcast conversation with Legora CTO Jacob Lauritzen on building and testing a legal AI agent when customer data is invisible to the company. Topics include simulated test environments, citation accuracy gains, Tabular Review, model choice, and how forward-deployed and legal engineers work together.Agents · via Latent Space · 5d ago4 minHierarchical budgets: manage AI spend the way your company is organizedLearn how hierarchical budgets work for managing AI usage across an organization. Enterprise admins can allocate ACU budgets to department leaders, who then distribute and approve usage limits for their own teams, projects, and users.Inference · via Devin (Cognition) · 5d ago1 minFragments: October 28Martin Fowler's collection of short notes covers Andrej Karpathy's view of the widening gap in how people perceive LLM capabilities, lessons from Foocamp on enterprise AI adoption and the emotional side of agentic engineering, and debates over whether years of coding skill still matter.Agents · via Martin Fowler · 10d ago9 minGetting good at AI takes time and practiceThe article argues that getting good at AI is a real skill built through practice, not a matter of simple tricks or waiting for better models. It covers supplying context, knowing what models can and cannot do, spotting typical AI coding mistakes, and skimming AI output quickly.AI Coding Tools · via Sean Goedecke · 10d ago8 minFragments: October 21Martin Fowler's fragments cover Gergely Orosz's frustration with AI-written entries in his no-AI essay contest and why readers tend to dismiss text that seems machine-generated. They also note the cancellation of the Grace Hopper Celebration and summarize Cindy Sridharan's long guide to debugging code with AI agents, which stresses gathering evidence and using controls before reading code.AI Coding Tools · via Martin Fowler · 17d ago6 minA smarter approach to AI cost controls: allocating spend by efficiencyBlanket usage caps can penalize your most efficient engineers. This piece explains how an Efficiency Score, Devin Coach, and efficiency-based approvals let enterprises allocate AI spend according to engineering efficiency instead.Inference · via Devin (Cognition) · 19d ago1 minMeta shakes up the frontiers, open and closedExplains how Meta's Muse Spark Open model shifts the balance between American and Chinese open-weight AI models, and covers its performance, its restrictive license terms, and where Meta now ranks among Western frontier labs.Model Releases · via Interconnects · 21d ago9 minstate of agentic coding #11: the curiosity test, lisp, and labs that can't failMitchell Hashimoto's guest episode on State of Agentic Coding covers whether developers are failing a curiosity test amid AI change, boom-and-bust cycles in tech hiring, DHH's Rails World keynote and the decline of human-facing language design, and why AI labs cannot afford to fail. Ben Vinegar and Armin Ronacher host.AI Coding Tools · via Geoffrey Huntley · 22d ago9 minnobody should type code by hand anymore. here's what's left.A conversation with Josh Wulf on his Agentic Engineering show, in four parts. The speaker covers how AI loops are reshaping software work, why cloning and rebuilding existing software is now feasible, and what engineers and managers should do to avoid being left behind.AI Coding Tools · via Geoffrey Huntley · 25d ago6 minFragments: September 29A roundup of short takes on coding agents and AI safety, including Simon Willison on how agentic engineering demands discipline, Harper Reed's experiment with an unlimited-token agent probing a local network, and arguments about LLM training, liability, and the value of junior staff.Agents · via Martin Fowler · 1mo ago5 min