951–960 of 985 posts
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Just remember you "lol" at Nobel laureates and Turing award winners that all agree unanimously that we are going there. You just lol. Not much to say to convince you.
https://en.wikipedia.org/wiki/Argument_from_authority
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https://en.wikipedia.org/wiki/Argument_from_authority
You walk to Einstein and Laszlo. They tell you they are building nuclear. You lol. I come to you I tell you the scientists say they can do it. You lol. Your IQ is..
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Would you mind sharing some of these projects? I've found Claude's usefulness is highly variable, though somewhat predictable. It can write `jq` filters flawlessly every time, whereas I would normally spend 30 minutes scanning docs because nobody memorizes `jq` syntax. And it can comb through server logs in every pod of my k8s clusters extremely fast. But it often struggles making quality code changes in a large code…
It is always "I'm producing 300 projects in a nanosecond" but it's almost never about sharing or actually deploying these ;)
Building something that works ? Not so easy
Pushing that thing in production ? That the hardest part
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Take this "sober" analysis with a big pinch of salt. IBM have totally missed the AI boat, and a large chunk of their revenue comes from selling expensive consultants to clients who do not have the expertise to do IT work themselves - this business model is at a high risk of being disrupted by those clients just using AI agents instead of paying $2-5000/day for a team of 20 barely-qualified new-grads in some far-off c…
Do you expect Sam Altman to come on stage and tell you the whole thing is a giant house of cards when the entire western economy seems to be propped up by AI? I wonder whose "sober" analysis you would accept, because surely the people that are making money hand over fist will never admit it. Seems to me like any criticism of AI is always handwaved away with the same arguments. Either it's companies who missed the AI…
It's an example of alternative cost or Copernicus-Gresham's law, rather than some axiom.
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Missed the boat? Have you been living under a rock? Watson AI advertising has been everywhere for years. It’s not that they aren't in the AI space, it’s that the CEO has a shockingly sober take on it. Probably because they’ve been doing AI for 30+ years combined with the fact they don’t have endless money with nowhere to invest it like Google.
Advertising for it has been everywhere, but it's never seemed like it's at the forefront of anything. It certainly wasn't competitive with ChatGPT and they haven't managed to catch back up in the way Google have.
They know what revenue streams existed and how damn hard it was to sell it, considering IBM Watson probably had the option of 100% on-prem services for healthcare, if they failed to sell that will a privacy violation system like ChatGPT,etc have a chance to penetrate the field?
Because however good ChatGPT, Claude,etc are, the _insane_ amounts of money they're given to play with implies that they will then emerge as winners in a future with revenue streams to match the spending that has been happening.
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Sounds a lot like "I'm not racist but". There's a website dedicated to all of his bs https://elonmusk.today He is the definition of a cult. Collects money from fanatical followers who will praise every word he says, never delivers, "oh next year guys, for sure, wanna buy a not a flamethrower, while you are at it?". Not to mention what once were laughable conspiracy theories about him turned out to be true(such that e…
I am just saying that he is a bad example because he is a different beast from the run of the mill corporate potemkin-ism.
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The problem I had that the larger your project gets, the more mistakes Claude makes. I (not a parent commenter) started with a basic CRUD web app and was blown away by how detailed it was, new CSS, good error handling, good selection and use of libraries, it could even write the terminal commands for package management and building. As the project grew to something larger Claude started forgetting that some code alre…
I’ve got Claude on 10k loc projects, which is probably mid range. But I also have it document and summarise its own work.
Could you share some of your prompts or CLAUDE.md? I'm still learning what works.
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I agree. re: energy and other resource use: the analogy I like is with driving cars: we use cars for transportation knowing the environmental costs so we don’t usually just go on two hour drives for the fun of it, rather we drive to get to work, go shopping. I use Gemini 3 but only in specific high value use cases. When I use commercial models I think a little about the societal costs. In the USA we have lost the thr…
Most of the energy for AI does not go into chatbots. Using Gemini is not remotely close to driving a car for 2 hours. If a prompt is 0.3 Wh ( https://cloud.google.com/blog/products/infrastructure/measur... , https://andymasley.substack.com/p/a-cheat-sheet-for-conversa... ), each prompt is closer to using an e-bike for 50 metres. You could have your morning shower 1°C less hot and save enough energy for about 200 prom…
(It's the training, not the inference, that's the biggest energy usage.)
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IBM did a lot of pretty fragmented and often PR-adjacent work. And getting into some industry-specific (e.g. healthcare) things that didn't really work out. But my understanding is that it's better standardized and embedded in products these days.
Not to be rude, but that didn't answer my question. Taking a look at IBM's Watson page, https://www.ibm.com/watson , it appears to me that they basically started over with "watsonx" in 2023 (after ChatGPT was released) and what's there now is basically just a hat tip to their previous branding.