41–50 of 127 posts
Yet another article that could can be losslessly translated to a single sentence.
Perhaps not ironically, the careless distribution of incorrect information, combined with a dismissal of human endeavor, is such a perfect encapsulation of why so many people absolutely despise everything surrounding LLM hype.
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> Every VC pitch is about some ground-breaking tech or unassailable moat that will be built around a massive SAM A surface-to-air missile? As funny as that would be, maybe you should define your terms before you try to use them.
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This is a bit like the question "what if we spent our time developing technology to help people rather than developing weapons for war?"
The answer is that, the only reason you were able to get so many people working on the same thing at once, was because of the pressing need at hand (that "need" could be real or merely perceived). Without that, everyone would have their own various ideas about what projects are the best use of their time, and would be progressing in much smaller steps in a bunch of different directions.
To put it another way - instead of building the Great Pyramids, those thousands of workers (likely slaves) could have all individually spent that time building homes for their families. But, those homes wouldn't still be around and remembered millenia later.
>"while delivering absolutely nothing of value" Well maybe for you and not the millions of people that use this technology daily.
Unlike "value demand," which is genuine demand arising from customer needs, failure demand is demand caused by failures such as errors, defects, inefficiencies, or poor service delivery. For example, if a service does not fulfill a customer's need properly, the customer must come back, creating more demand that is essentially avoidable. Failure demand leads to inefficiency, additional costs, and deteriorated customer…
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Hacker News may be hosted as part of the Y Combinator website, but as the name suggests, the primary audience is hackers, not entrepreneurs. Your answer is good, but could have done without the condescension.
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I've been watching this my whole life. UML, SOA, Mongo, cloud, blockchain, now LLMs, probably 10 others in between. When tools are new there's a collective mania between VCs, execs, and engineers that this tool unlike literally every other one doesn't have trade offs that make it only an appropriate choice in some situations. Sometimes the trade offs aren't discoverable in the nascent stage, a lot of it is monkey-see…
I wonder about the world where, instead of investing in AI, everyone invested in API . Like, surfacing APIs, fostering interoperability... I don't want an AI agent, but I might be interested in an agent operating with fixed rules, and with a limited set of capabilities. Instead we're trying to train systems to move a mouse in a browser and praying it doesn't accidentally send 60 pairs of shoes to a random address in…
LLMs offer the single biggest advance in interoperability I've ever seen. We don't need to figure out the one true perfect design for standardized APIs for a given domain any more. Instead, we need to build APIs with just enough documentation (and/or one or two illustrative examples) that an LLM can help spit out the glue code needed to hook them together.
I think about code generation in this space a lot because I’ve been writing Gleam. The LSP code actions are incredible. There’s no “oh sorry I meant to do it the other way” you get with LLMs because everything is strongly typed. What if we spent 100billion on a programming language?
We’ve now spent many hundreds of billions on tools which are powerful but we’ve also chosen to ignore many other ways to spend that money.
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LLMs offer the single biggest advance in interoperability I've ever seen. We don't need to figure out the one true perfect design for standardized APIs for a given domain any more. Instead, we need to build APIs with just enough documentation (and/or one or two illustrative examples) that an LLM can help spit out the glue code needed to hook them together.
Today I’ve compiled a few thousand classes of Javadocs in .978 second. I was so impressed, with a build over 2 minutes, each byte of code we write takes a second to execute, computing is actually lightening fast, just now when it’s awfully written. Time of executing bytecode << REST APIs << launching a full JVM for each file you want to compile << launching an LLM to call an API (each << is above x10).