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…is a structural tension in experimental science that software engineering has no real equivalent for. In engineering, requirements that change every few weeks are a symptom of poor planning. In research, they are the objective. The purpose …
…math to do your taxes and beat Minerva!) able to use 8x more context than ChatGPT (50 pages, 25k words of context means unlocks better AI-enabled coding4 by simply pasting docs, or better chat by pasting entire Wikipedia articles, or even…
…So I just went out there and did it. And same thing with AI engineering, right? You just kind of build stuff. You work on interesting, interesting things and like now it's more accessible than ever. Like back when I got into the field five,…
…image models, considered underrated Image Editing ModelsFlux Context (Dev) Released late May Popular editing model Qwen Image/Qwen Imager Released two weeks before the podcast Now topping Flux Context Dev Very good text-to-image when using …
…and others. It is popular to regard the rising field of prompt engineering as spellcasting, where getting the human-machine interface correct becomes a matter of finding the right sequence of tokens (“trending on artstation, 8k, Greg…
…On-Device Models and Local vs Remote Agent Systems [00:51:34] Engineering at OpenAI and Leveraging LLMs [00:54:16] Structuring Codebases and Teams for AI Optimization [00:55:27] The Value of Engineers in the Age of AGI [00:58:42] Current…
…because of cost,” Jain told us. Another co-founder of Glean, engineering lead Tony Gentilcore, recently claimed that Glean “is 4x more cost-effective” than Claude Code, “averaging $0.45 per task versus $1.84 for Claude Cowork.” He put that …
…question of, like, we can have humans do some, like, prompt engineering or documentation or whatever. But we can also give the LLM more just historic... We can also give the LLM more just historic context about what people like me liked to …
…their technical core but become poker-like in their operational context. Professional software engineering extends well beyond the chess-like core. Understanding ambiguous requirements means modeling what the stakeholder actually wants…
…that Guardrails was one of the most exciting open source AI Engineering projects 2 years ago, but since Nvidia joined the fray and now increasingly more and more developer platforms are introducing their own guardrails, they seem to be…
…us. If so, progress will look less like physics and more like engineering–narrow focuses on particular diseases, particular organs, particular modalities. The work is unglamorous and the timelines are long. We remain slaves to the physical …
…new cloud three launches was trying to utilize the a hundred K contexts of cloud three and I use the same project to do this, to try to repeat the demo that I made for myself a month afterwards. And it wasn't anywhere as smart. So cloud…
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