Dettmers announces open-source week to demonstrate ecosystem approach
1 Sep 21 2:53 PM · 4d ago · 1 article · 1 post · 11 comments · 2 sources · development 1 of 1
Dettmers announced an open-source week organized by his lab, designed to showcase how building interconnected components—inference-serving frameworks, agent harnesses, and autonomous research systems—represents the future of academic AI research. He emphasizes accessibility as a core design principle, arguing that expertise requirements, not just hardware, must be addressed through thoughtful abstraction.
“It is no longer hard to publish a paper. It is hard to publish a coherent ecosystem.”
Tim DettmersTim Dettmers Computer science professor
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Reported in the same hours no headline names this development itself — these 1 claim were published in its stretch
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1 outlet Frontier AI on Your Own Hardware
first by HN Frontpage, 4d ago
What people said 18 voices · best of 19 · verbatim
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I think one of AI’s biggest effects is simply that it makes people realize even high-income professionals can lose their positions.This also follows from how current LLMs work. In practice, when I use them in domains I already understand, they can produce very high-quality results. But in domains I do not know well, the results can be poor, and…
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> The difficulty did not disappear. It moved. It is no longer hard to publish a paper. It is hard to publish a coherent ecosystem.Terrible article. It's full of these; it's tell-tale LLM. I'm surprised people post these, especially after all the articles that got upvoted that people hate LLM written articles.Nevertheless, my curiosity got the…
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> "The prediction was that software engineers would lose their jobs first, and the recent trend went the other way: demand for software engineers is higher than ever"Hard to take anything the author says seriously making nonsensical claims like this. The software engineering job market has been getting worse every year since 2022 by virtually…
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'In one of my classes I asked the question I was afraid to ask but I just needed the answer to: “Who is afraid of not getting a job after graduating?” About eighty percent of the 150 people in the room raised their hands. That is roughly 120 students answering, in one motion, that they do not believe there is a place for them in the future.'It's…
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The market rebound appears to be mostly in senior roles [1] while everyone else are falling out of favor including new grads. Definitely puts the "higher than ever" claim in question. Indeed is looking at job postings data and I personally think this is a poor unit of measure. In my humble opinion the market isn't anywhere near where it used to be…
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Even for seniors, pretty sure jobs aren’t at all what they used to be. I think more and more of us are losing the little job satisfaction we had. Working on other people’s tasks with AI agents is nothing short of being a paper pusher.Don’t get me wrong, as a technologist, I feel AI is the most incredible thing in the field of computer science. I…
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Love this article, right on.re: “”Start with the harness, because it is what makes everything else usable.””I have written three harnesses this year (in Common Lisp, Python, and Racket Scheme) and it has been a fantastic learning experience. I have been using neural network tech since I was on a DARPA neural network advisory panel in the 198os…
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> What has to go is the paper as the unit of achievement, the thing that gets counted and compared. If the ecosystem is the unit of research, then building something that other people can build on has to count for more than the next increment.The focus on building stuff as the measure of accomplishment is one reason I so enjoyed being at CMU a few…
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> Students are smart to be cautious about the future, and it's annoying that adults with no skin in the game so flippantly dismiss these concerns without any data to back it up.But does it really matter? If the promises associated with AI come true, it won’t really matter what degree you get or what trade you learn, because humam jobs will be a…
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Does anybody know anything about "Cliff Compaction"?I need it yesterday!(At the moment, I'm using the OSS version of headroom. That was a real PITA to configure for local-only, but I think it is working reasonably well now.)Cliff Compaction though???
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Many people in the thread are calling out AI-isms and nonsensical parts of the article. Articles like this have gotten so tiring. Is there a single place left to go on the internet where people write their own work? Or at least read it before publishing.
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Assuming the anecdote at the beginning wasn't also dreamed up by an LLM, there is something profoundly depressing about a working academic using AI to generate an article to counterpoint his own students fears about that same AI taking their jobs.
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I can't speak for the graduate or American market, but I can tell you the market for reasonably experienced software people in London is hot. Loads of hiring and salaries are going up.
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Universities has been pumping out sub quality graduates that "know" everything about Palestine, slavery, climate change and global inequality, but have no useful skills.
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Demand for entry-level software engineers in the US is down, while demand for experienced engineers is up.That makes sense given what LLMs are good at and what they’re not.
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The number of graduates has grown even more dramatically. The job market not being able to keep up with that could make both your and the OP's statements correct.
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This article...does not explain how to run frontier AI on your own hardware. If that were possible, it would drop the floor out from under OpenAI and Anthropic.
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> you have to let go of the idea that you first acquire skills and basic knowledge and then solve problems. The order reverses.^ this
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