961–970 of 985 posts
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This is going on all over again.
Agentic AI really is changing things. I've had a complete change of heart about it. It's good enough now to boost productivity MASSIVELY for devs.
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https://github.com/lawless-m You can see by Contributors which ones Claude has done. I have no idea if the code is any good, I’ve never looked at it and I have no idea how to code in Rust or Racket or Erlang anyway.
> I have no idea if the code is any good, I’ve never looked at it and I have no idea how to code in Rust or Racket or Erlang anyway. In that case, are you really producing multiple projects per week? If you've never looked at the code, have you verified that they work?
the list could go on
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Weird, because I've created a webcam app that does segmentation so they can delete the background and put a new background in I mean, I suppose that's not groundbreaking. But it's not just reading and writing to a database. I've just added a ATA over Ethernet server in Rust, I thought of doing it in the car on the way home and an hour later I've got a working version. I type this comment using a voice to text system…
> I make stuff every day I just wouldn't bother to make if I had to do it myself > I'm not going to spend weeks trying to find out how it works. Then what is the point? For some of us, programming is an art form. Creativity is an art form and an ideal to strive towards. Why have a machine to create something we wouldn’t care about? The only result is a devaluation to zero of actual effort and passion, whose only bene…
Hobby Lobby has US$723m in annual revenue.
I don't make "products" I solve problems
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Your assessment of Claude simply isn’t true. Or Stackoverflow is really good. I’m producing multiple projects per week that are weeks of work each.
I produce a lot of shit every week too, but I don’t brag about my digestive system on “Hacker” “News.”
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> People feel more capable to attempt contributions That does not mean that they are more capable, and that's the problem. > We do need to be careful not to overwhelm the specialists with such things, as some of them are of low quality, but on the whole it's a really good thing. That's not what the specialists who have to deal with this slop say. There have been articles about this discussed here already.
What would you have us do, Keep the fixes to ourselves?
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Why wouldn't you count things initially made by individual contributors at Google?
Because they're not a good measure of the company's ability to develop products based on the direction from leadership.
"It is 1958. IBM passes up the chance to buy a young, fledgling company that has invented a new technology called xerography. Two years later, Xerox is born, and IBM has been kicking themselves ever since. It is ten years later, the late '60s. Digital Equipment DEC and others invent the minicomputer. IBM dismisses the minicomputer as too small to do serious computing and, therefore, unimportant to their business. DEC…
> IBM has not exactly had a stellar record at identifying the future. IBM invented/developed/introduced magnetic stripe cards, UPC Barcodes, the modern ATM, Hard drives, floppies, DRAM, SQL, the 360 Family of Mainframes, the PC, Apollo guidance computers, Deep Blue. IBM created a far share of the future we're living in. I'm no fan of much of what IBM is doing at the moment but it could be argued that its consultancy/…
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> People don't assume LLM will be AGI, I wish that was true. > people assume that World Models will lead us to AGI. Who are these people? There is no consensus around this that I have seen. You have anything to review regarding this? > as soon as GPT-3 came out. I don't think that was true at all. It was impressive when it came out, but people in the field clearly saw the limitations and what it is. RL isn't magical…
AlphaGo Zero doesn't need much human intervention at all. Regarding world models: All the big ones. LeCun, Demis Hassabis, Fei-Fei Li too. And they are all working on it. LLMs will definitly play some type of role in AGI. After all you can ask an LLM already a lot of basic things like 'what are common tasks to make a tea'. A type of guide, long term fact memory or whatever this can be called.
You should research it and not just read news articles. RL did not work and required human intervention numerous times before it got close to what it is now.
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> So IBM hasn't been doing hardware R&D for about three decades Even a 5 second google search says you are wrong. https://research.ibm.com/semiconductors/ai-hardware-center https://research.ibm.com/topics/quantum-hardware
Having a research department is very different from whether they are actually accomplishing anything and whether or not it is a meaningful revenue stream. On all fronts this is just not true. The quantum stuff so far in the industry is vapor ware and its unclear wether IBM is really making forward progress vs yearly pronouncements of progress to keep the funding stream open
You don’t get to change the goalposts.