What’s new? I mean, it’s the same bunch of companies propping up OpenAI because they know that if OpenAI fails this whole AI house-of-cards will come tumbling down around them.
Is there any (major) AI-company that is not a total douchebag? The greed on display combined with a total absence of any kind of moral compass is sickening.
Kicked out? Why wasn't he sent to prison? This is basically spying, right? I can imagine that if you do this kind of stuff in Russia you would rot in a prison cell (and, perhaps even worse).
It's so obvious that it's cringe. They have a product to sell so these kind of things are all part of a larger marketing campaign in preparation for their IPO.
Not only that... I would really have to see something tangible from a company that makes these kind of claims. ASML's technology is some of the most complex and advanced in the world and has it has taken decades to get there. Of course it is possible, but without something tangible to back up their claims, I think I will remain skeptical.
I so recommend reading this article. It will provide you insight into a world that, I imagine, the majority of readers are not familiar with: Python development in the financial/banking system.
This is definitely not the first time this article has appeared on HN's frontpage, but every time it does, I re-read the article because I find the approach to software that the author describes in the article to be fascinating. YMMV.
I developed Contextualise (https://contextualise.dev/) which is based on the topic maps paradigm. It has been my workhorse (personal) knowledge management tool for years now.
It's a mixed bag. It depends on your problem domain, the problem you are trying to solve (within that domain), the context you provide the LLM, the output it generates (you are using libraries to coerce the output into predictable (JSON) structures, right?). What's more, based on what you are trying to do, the LLM you are using might have sufficient training data, but not necessarily so (resulting in possible hallucinations/confabulations). So, there's that. Also, LLMs are not deterministic, they can (and will) generate a different response every time you call them (even if the context you provided is the same). So, yeah... sometimes these things really deliver and other times, it's just... meh!
Sorry, didn’t see your reply. Sure, just go to https://contextualise.dev/ and sign up. You really do need to have a basic understanding of the topic maps model to really make the most of Contextualise, though. If you have any questions just let me know at info at contextualise dot dev.
I built my own topic maps-based knowledge management system, Contextualise, a tool to organise projects and activities made up of unstructured information resources (think notes, URLs, images, files, locations, events, whatever…). All appropriately linked. I’ve been using it for years and it works very well for me. It does, however, require consistency, discipline, and effort.
Agree! Bit of a steep learning curve in the beginning but once you get over that, it is a very productive coding environment. Check out the Neovim distros (e.g., LazyVim, NvChad) to get up and running quickly.
He says that this is not 10,000 lines of bug-filled crap… but, unless you are explicitly verifying and testing the code, how would you know? And, what kind of solution needs 10,000 lines of code added to it daily? Then again, these could be separate solutions. but, still… this 10,000-lines-of-code-a-day thing seems strange.
I would say that, instead of dead, it is on hold. These things are like pendulums swinging in one direction and after a certain amount of time, swinging in the opposite direction. Of course, The US’ current behaviour towards its (traditional) allies will have consequences and will take time to restore. Inevitably, the relationship has changed.
Is any one really surprised by this? Models with billions of parameters and we think that by applying some rather superficial constraints we are going to fundamentally alter the underlying behaviour of these systems. Don’t know. It seems to me that we really don’t understand what we have unleashed.