I don't have insider information, but: if one of the AI companies really wants their models to become really good at this and publicly available datasets are scarce, they can probably just buy anonymized X-ray/MRI scans paired with the human doctor's diagnosis, and train on them. I don't know what the legal story is around this, but AI companies have near infinite money, so I'm sure they can buy their way around regulations (eg. by buying them from a less regulated country).
Recently I was at the doctor for a very minor sports injury ("tennis leg"). The doctor — who was in his 50s — was explaining the degrees of the injury to me, and quoted ChatGPT as the source, along the lines of "ChatGPT usually says you have to rest for.." I thought it's quite funny, but after thinking about it, it's really no surprise that doctors also use AIs to look things up / clean up their diagnosis.
I would not call him a crank, he's just an "independent physicist". He is a very successful and wealthy businessman thanks to Mathematica, with $100Ms of wealth presumably, and he choses to do physics in his own way, pursuing subjects that he finds interesting, in ways he finds interesting. And he writes about his work and himself in grandiose ways, usually comparing himself to Newton and Einstein.
Nothing major has come out of his research, other then one of his co-workers proving that one of the simple CAs is Turing complete.
Most academic physicists ignore him, but that's fine. Personally, I think we need more people like Wolfram who are doing totally independent research, with their own funds. Statistically, something unexpectedly good could come out of it!
Maybe I'm an oddball, but I've always thought this: if a cool company wants to hire me but isn't sure, give me a 3-6 month fixed contract and LFG. There's zero doubt in my mind it would work out. And if not, so what, I'll be okay.
Today I'm 45 with family and have a fancy VP title, but I would have no problem to do this for an interesting role at a cool company.
> Claude Shannon called him "the smartest person I've ever met", a common opinion.
> Von Neumann founded the field of game theory as a mathematical discipline.
> .. leading him to a large number of military consultancies and consequently his involvement in the Manhattan Project.
> In 1950, von Neumann became a consultant to the Weapons Systems Evaluation Group..
> In 1955, von Neumann became a commissioner of the Atomic Energy Commission (AEC), which at the time was the highest official position available to scientists in the government.
> In his final years before his death from cancer, von Neumann headed the United States government's top-secret ICBM committee..
Models have become a commodity, hardware not so much; why would Nvidia care? It's the models who are competing primarily, not hardware manufacturers.
Also, models are software, so easy to switch out. AI hardware otoh has a approx. 3-5 year useful life, I don't see how this affects hardware already running, or getting built.
This would be interesting if each of them had a high-level picture of the NN, "to scale", perhaps color coding the components somehow. OnMouseScroll it would scroll through the models, and you could see the networks become deeper, wider, colors change, almost animated. That'd be cool.
I'm a big fan of Amazon (UAE), in the sense that I buy stuff from Amazon almost every week. Having said that, in the last year or so, I found myself returning items more and more often. I get books damaged in shipping, wrong color items, wrong size shoes, empty boxes without the actual item, all sorts of weird failure modes. Marketplace sellers are definitely a big factor. As a response, lately I find myself thinking defensively when ordering from Amazon, like "what can go wrong", and pondering whether I should go out and find this in a store, buy from the brand's online store, get it off Ebay, etc.
- on non-supported browsers (eg. mobile) don't render the app, show a message instead
- Shift + Home/End for selecting text doesn't work
- Ctrl + N for a new page doesn't work
- things like the above ^, while it may be trivial, will turn off people who will not spend more than 10-20s to evaluate
- you're refer the simplicity of text files, but the editor is not fixed width, it's more like a Markdown-ish editor, closer to Google Docs with its default styles
- when typing - it creates a list, but the list's left margin (where the - starts) is not aligned on the overall left margin of the page, it's very annoying to me
- to me, this is too far away from the simplicity of a text file — this comment, I'm writing it up in Sublime in plain text, and then I'll copy it to Chrome/HN, but I wouldn't do it in your tool — I love being able to Alt-Tab to Sublime, hit Ctrl+N to get a new "file" which is a temporary/ephemeral workspace for typing text, typing and getting sasisfying fixed-width readable text, and then copy/pasting it to my destination, which almost always has a less pleasant editor
- eg. I also write my non-trivial ChatGPT conversations like that ^
- one of the few exceptions is Google Docs, I can directly work into that
- the reason I ended on Google Docs: after a few minutes of playing around, it's not clear to me how using your product would be significantly better for me than using Google Docs for notes (which I don't) — I can use GDocs to write roughly Markdown-equivalent structure, and there's plugins to import/export Markdown — and GDocs is backed by Google, has a working editor, apps, multi-user support, commenting, Google ecosystem integration, etc.
> where 3 years ago they would have had to buy Photoshop and learn how to use it
This seems to imply that a significant fraction of Adobe revenues is from private individuals who pay monthly fees just to occasionally do image edits with Photoshop and similar tools.
Working at a non-tech regional bigco, where ofc cloud is the default, I see everyday how AWS costs get out of hand, it's a constant struggle just to keep costs flat. In our case, the reality is that NONE of our services require scalability, and the main upside of high uptime is nice primarily for my blood pressure.. we only really need uptime during business hours, nobody cares what happens at night when everybody is sleeping.
On the other hand, there's significant vendor lockin, complexity, etc. And I'm not really sure we actually end up with less people over time, headcount always expands over time, and there's always cool new projects like monitoring, observability, AI, etc.
My feeling is, if we rented 20-30 chunky machines and ran Linux on them, with k8s, we'd be 80% there. For specific things I'd still use AWS, like infinite S3 storage, or RDS instances for super-important data.
If I were to do a startup, I would almost certainly not base it off AWS (or other cloud), I'd do what I write above: run chunky servers on OVH (initially just 1-2), and use specific AWS services like S3 and RDS.
A bit unrelated to the above, but I'd also try to keep away from expensive SaaS like Jira, Slack, etc. I'd use the best self-hosted open source version, and be done with it. I'd try Gitea for git hosting, Mattermost for team chat, etc.
And actually, given the geo-political situation as an EU citizen, maybe I wouldn't even put my data on AWS at all and self-host that as well...
Promotions are always discussed in the context of "How to get promoted?". In my opinion, an important angle is left out of these discussion and conversations: do you really want to get promoted? is it worth it?
To make it simple binary, I think there are 2 kinds of promotions:
A. the kind where you pretty much continue doing what you were doing before, but with a nicer title and more money
B. the kind where the new role will put you into a whole new situation, which may or may not be a good fit for you
People always assume it'll be like 1., but there are certain career inflection points where this is not true. Approximating these in 3 minutes of typing:
1. Going from junior IC levels (where others work extra hard to support you, and are doing much of the work with you, for you) to mid IC levels.
2. Going from IC to becoming a manager.
3. Going to executive level.
4. Going to board-level executive level.
Note: I'm putting aside the handful of tech companies where people can stay on the technical track and still get ahead; at most companies you end up going into management, if for no other reason to avoid an incompetent outside hire to end up as your boss..
In the above list, 1. is of course desirable and unavoidable, but the rest should be thought over hard, for many months, and should be considered a major life decision.
Eg. recently I'v been promoted from Sr. Director (a non-executive management role) to VP (an executive manager role) — I didn't ask for it, it was a result of a re-org — and it's been super tough. Completely new rules, new crowd, new worries, but with all the worries of my old job..
As a people manager I constantly have staff ICs telling me they want to get promoted to become a Director, and I always tell them — from the bottom of my heart — enjoy the "simple life" of IC-ship while you can, once you go over to management [at any bigco], things will be much less fun. Because, if coding and building things is fun for you, then managing PIPs, procurements, vendor engagements, and corporate politics in general will not be fun.
> This repo contains a version of Anthropic's original performance take-home, before Claude Opus 4.5 started doing better than humans given only 2 hours.
Was the screening format here that this problem was sent out, and candidates had to reply with a solution within 2 hours?
Or, are they just saying that the latest frontier coding models do better in 2 hours than human candidates have done in the past in multiple days?
Apparently they have an annual budget of ~$10M. From the contributors, it's easy to recognize the Chan Zuckerberg Initiative (so Meta), Google, MSFT. This is great.
Having said that, I'd still say that $1-2M for a CSS library seems more than enough. Not everything needs to be "scaled"..
> the most popular UI system (especially for AI models)
Like others earlier in the thread I'm symphatetic to this company/project, but your code/project being referenced often in AI output in itself doesn't imply that the thing needs to be a business.
bash, curl, awk, Python code with numpy imports, C++, all sorts of code is constantly being generated by AI, doesn't mean curl or numpy should be its own company, or that the AI Labs need to fund them.
As other fave written, making $1M+ already feels like a lot, maybe this shouldn't be a company, just 1-2 people who have a great time supporting this thing. I wonder if curl or awk have that kind of funding even..