The following originally appeared on Hugo Bowne-Andersonβs Vanishing Gradients Substack and is being republished here with the authorβs permission. The conversation around harness engineering is dominated by problems from coding and personal agents such as OpenClaw, but most agents are simpler. Builders should avoid over-engineering for capabilities that newer models may absorb anyway, the βKirby [β¦]
Managers have been disproportionate casualties of the rolling waves of post-COVID-19 tech layoffs that started in late 2022. Popularized by large companies such as Meta, Google, and Amazon, phrases like βflattening the orgβ and βreducing bureaucracyβ are now synonymous with thinning the management layers that ballooned during the 2021β2022 hiring sprees. Retrospectively, such flattening can [β¦]
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Mark Forman, former OMB administrator for e-government and IT, explains why itβs time to kick-start the βcollect once, use manyβ approach to data governance.
Iβve been working on the Quality Playbook, my open source AI skill that uses quality engineering to find bugs that normal AI code review misses, and I recently had a batch of work that turned into a long run of point releases. I was using Claude Cowork as the orchestrator: planning scope, dispatching instructions to [β¦]
We kicked off Zero to Agent in 30 Minutes this week with guest John Berryman, an AI consultant and contractor for Arcturus Labs. John has spent the past several years building AI products and consulting on how teams put them into production. He set the stage by defining an agent as a large language model [β¦]
Somewhere in a Singapore data center, a bank is paying for eight H100s that spend most of the night waiting. The cluster was bought for good reasons (discomfort with customer documents leaving the building, a strategy teamβs aversion to lock-in), so the bank secured its own sovereign compute. Now the finance team is asking why [β¦]
The core idea behind M-26-14βs approach for addressing these advanced threats is practical. Security teams need timely access to relevant data in context.
Christina Stathopoulos, the data and AI evangelist behind Dare to Data, continued her run sorting the weekβs most impactful stories into a handful of themes weβve been watching play out over the past month: more firms investing in the compute AI runs on, more concerns about who controls a modelβs borders, and more AI-generated code [β¦]
I keep seeing the same idea in conversations about agents: Detailed specs are old-world overhead now. Give the model a rough goal, let it explore, fix what comes back, move on. It sounds efficient but it also hides the cost. A simple prompt looks cheap and tempting because it gets implementation started right away. Then [β¦]
AI has taken software development by storm.Β Between the two of us, we build products for software engineers and consumer products for millions of everyday users, so we have skin in the game. We want the AI productivity story to be true. More output, tighter timelines, happier and more productive engineers. Who wouldnβt? But when we [β¦]
This could transform how Congress and the Pentagon understand each other and share information, making the relationship more secure, flexible and responsive.
FILE - The Pentagon is seen from Air Force One as it flies over Washington, March 2, 2022. Defense officials tell Congress that the military services are still reviewing possible discipline of troops who refused the order to get the COVID-19 vaccine. (AP Photo/Patrick Semansky, File)
Autonomous agents are moving faster than the fieldβs ability to govern them, and catching up requires more than better prompts or bigger sandboxes. At OβReillyβs recent AI Superstream focused on OpenClaw and the broader ecosystem of locally run and self-hosted AI agents, five speakers, each working at a different layer of the stack, explored patterns [β¦]