serjester

8 ms·

1.
by serjester 13d ago
Exciting but it’s priced at 2.5X Sol - we haven’t seen pricing this high since GPT 4.5. We will see if the real world use cases outweigh the sticker shock.
2.
by serjester 2mo ago
Cursor is a victim of its own success. Clearly the future is agents but the average user just wants them for a smarter tab completion. I also cancelled my subscription since I’m not particularly sold that I need a middle man between me and
3.
by serjester 6mo ago
Akur8 | AI Engineer | NYC (Hybrid) | Full-time Akur8 builds the OS for insurance pricing - our SaaS platform helps 320+ insurers worldwide model risk up to 10x faster using transparent ML. We're hiring an AI Engineer to join our team.
4.
by serjester 7mo ago
There's a potentially amazing use case here around parsing PDFs to markdown. It seems like a task with insane volume requirements, low budget, and the kind of thing that doesn't benefit much from autoregression. Would be very curi
5.
by serjester 7mo ago
The vast majority of people don't need smarter models and aren't willing to pay for a subscription. There's an argument to be made that ads on free users will subsidize the power users that demand frontier intelligence - don
6.
by serjester 9mo ago
Karpathy had an amazing tweet about this if you’re interested in a deep dive. [1] https://x.com/karpathy/status/1902046003567718810
7.
by serjester 9mo ago
This is a hand wavy article that dismisses away VLMs without acknowledging the real world performance everyone is seeing. I think it’d be far more useful if you published an eval.
8.
by serjester 9mo ago
Congrats on the launch - you're value-add is quite confusing as someone that's at the applied AI layer. This comes off as more of a research project than a business. You're going to need an incredibly compelling sales pitch
9.
by serjester 10mo ago
I'm not sure if they're gearing up for an announcement, but about 9 days ago they dropped the preview warning from their README. I'm assuming they're still working through final housekeeping items before formally announc
10.
by serjester 10mo ago
Seems like their critique boils down to two areas - pandas limitations and fewer built ins to lean on. Personally I've found polars has solved most of the "ugly" problems that I had with pandas. It's way faster, has an e
11.
by serjester 10mo ago
If cloudflare goes down, you can blame them. If your hand rolled solution fails when cloudflare exists, you’re going to have a tough pitch to leadership why you’re in charge of the technical roadmap. Choose your battles, and this is not a h
12.
by serjester 10mo ago
It's disappointing there's no flash / lite version - this is where Google has excelled up to this point.
13.
by serjester 10mo ago
As someone that also worked at a large automakers, I think you’re making large, unfounded assumptions. Warranty data flows up from the technicians - good luck getting any auto technician to properly tag data. Their job is to fix a specific
14.
by serjester 10mo ago
Seems like a very natural fit for fine tuning - would have loved to see more on the LLM side.
15.
by serjester 10mo ago
Did you try fine tuning the LLMs?
16.
by serjester 10mo ago
This is just a company advertisement, not even one that’s well done. They didn’t benchmark any of the real leaders in the space (reducto, extend, etc) and left Gemini out of the first two tests, presumably because it was the best performer
17.
by serjester 11mo ago
A lot of the comments on here are too pessimistic. Deepnote has had the single best jupyter interface for years now - unfortunately locked behind a cloud subscription though. Jupyter itself has been stagnant for far too long, and it's
18.
by serjester 11mo ago
One of the big ones that hasn't been mentioned is all of a hexagon's neighbors are equidistant. As a result, h3 is a better fit for flow modeling - stuff like telematics. This has some nice properties for ML too. You can see one
19.
by serjester 11mo ago
H3o is an awesome piece of work. I created polars bindings for it(another reason I love polars) and last time I benchmarked it, it had 5X better performance than even duckdb’s C++ implementation. https://github.com/Filimoa&#
20.
by serjester 11mo ago
I feel like interviews with Sam always leave you underwhelmed - OpenAI needs more compute, he’s excited AI will accelerate science, and some sort of subtle hint he doesn’t care about copyright holders, while saying the exact opposite. Would
21.
by serjester 11mo ago
This is the most confusing pricing page I’ve ever seen - different options have different credit usage and different cost per credits? How many degrees of freedom do you real need to represent API cost.
22.
by serjester 11mo ago
Congrats on the launch. YC 2022? I'm assuming this was a pivot - what lead to it and how do you guys plan on making money long term?
23.
by serjester 1y ago
For those interested in the GitHub link. https://github.com/apple/ml-simplefold
24.
by serjester 1y ago
Always appreciated Taleb's quote on this: > A good book gets better at the second reading. A great book at the third. Any book not worth rereading isn't worth reading
25.
by serjester 1y ago
The big labs have 50+% margins on serving the models, the training is where they lose money. But every new model boosts OpenAI's revenue growth which is unheard of at their size (300+% YoY). Therefore it's completely reasonable
26.
by serjester 1y ago
Desperate pivot aside, I don't see how anyone competes with the big labs on coding agents. They can serve the models at a fraction of the API cost, can trivially add post training to fill gaps and have way deeper enterprise penetratio
27.
by serjester 1y ago
Congrats on the launch guys, but is this any different from setting up usage based pricing in stripe? This kind of seems like a solution in search of a problem.
28.
by serjester 1y ago
It’s absolutely insane they managed to raise 50M dollars. Now they’re shooting for a desperate AI pivot that no one wants.
29.
by serjester 1y ago
It seems like the company has stagnated and Cook seems to consistently makes questionable decisions - fighting the app store rulings, doubling down on vision pro, focusing on OS redesigns instead of generative AI. Maybe they've just ca
30.
by serjester 1y ago
It's interesting that it seems to the non thinking variant has actually regressed on a quite few benchmarks compared to flash-2.0. They seem to be prioritizing coding above all else. Even the thinking variant only has marginal gains on

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