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bfeynman
searching PlanetScale…
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10 ms
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121.
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by
bfeynman
2y ago
Is this supposed to be impressive? Rebranding function calling and moving that code to a different place?
122.
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bfeynman
2y ago
Anthropic and OpenAI have certainly been working on this behind the scenes, while they try to see how much better they can get models, they will let others pay for the current state until they find it valuable. The shift we are seeing now
123.
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bfeynman
2y ago
Similar experience. Whenever I have questions where I know what answer should be (i.e. errors, how to do something etc, ELI5) I will use LLMs. When I use google now I almost never use the AI overview because I am almost exclusively trying
124.
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bfeynman
2y ago
it's not cgi... you can already buy their dog ones and they bring these around to shows.
125.
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bfeynman
2y ago
Glean is not a real business and is more of a VC back dealing play to buy revenue and fund some acquisition. Lucky for those who got in on it I guess early. Insane multiples for a not that interesting of a product or certainly one that i
126.
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bfeynman
2y ago
I think the difference is that at Amazon service teams owned their service and code. At Google you had 10ks of engineers who never produced really any client impacting or customer facing code, so there was no need for blast radius protecti
127.
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bfeynman
2y ago
Too few doctors thing is problem with different bottlenecks... Mainly being that the US Residency program is funded by the gov't, and is competitive to get into. Many of the lesser schools and especially DO or carribean schools have g
128.
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by
bfeynman
2y ago
classic fallacy seen on engineering blogs all the time "we cut down {speed, cost} by writing something in {go, rust} without realizing that rewriting is also refactoring from the most explicit set of requirements. None of the tech deb
129.
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bfeynman
2y ago
you could just make a free git repo with this. Matter of fact some cloud providers even provide a lot of this setup. IMO the most difficult part for building is not this configurational infra, but integrating it into a well greased CI
130.
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bfeynman
3y ago
Amazon acquired Annapurna labs doing the same thing and have their own train,/inferentia silicon, and they definitely have more support than Google.
131.
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bfeynman
3y ago
the only development (and it wasnt invented by neuralink) is flexible and smaller electrodes seem to take longer for scarring to take over than larger and more rigid ones. Right now, it seems that their only path is to help people with sev
132.
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bfeynman
3y ago
bingo, boeing is needed for national sovereignty concerns. Same reasons all other countries have flagship carriers.
133.
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bfeynman
3y ago
Accenture also performs weird menial tasks under guise of efficiency for large corps apparently unable to do it themselves. I would venture they will also roll out platform to enable corps to run their banal trainings on it (compliance etc
134.
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bfeynman
3y ago
I feel that the more immediate and impactful opportunity that people are doing is instead of scraping to get/understand content. LLM agents can just interactively navigate websites and perform actions. Parsing/Scraping can be br
135.
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bfeynman
3y ago
I would think it is intentional and brand strategy. OpenAI is such a force majeure that people will not know how to switch off of it if needed, makes their solutions more sticky. Other companies will probably adjust to their terminology j
136.
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by
bfeynman
3y ago
Not really about the framing of these policies. What it really should be is 'new rules to limit exploitation of workers reduces exploitation'. What the US has too much of, is providing people just enough support that you have le
137.
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bfeynman
3y ago
I don't think those are really comparable. Spending a ton of money on a home theater is a large and static purchase. You put it in your home, and that's it, you can't move it easily or adapt it much. The Vision Pro, on top
138.
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bfeynman
3y ago
They also vastly scaled back the number of services operating though. This whole thing of saying its stable with x << 100 % of staff is kind of nonsense when it its users, revenue, and features are also << what it used to be.
139.
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bfeynman
3y ago
I would think you could improve your embedding space to address that issue, partially. Similarity search (as a result of some contrastive loss) definitely suffers at the tails and the OOD is pretty bad. That being said, you're more l
140.
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bfeynman
3y ago
no, this is just instructions coming down from the tippy top to do something. The reality is that politicians do not want to ever risk a cataclysmic incident happening under their guard with a disenfranchised population, I guess especially
141.
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bfeynman
3y ago
pretty sure the super hard question from airbnb is a very rote and standard med LC question https://leetcode.com/problems/trapping-rain-water/descriptio...
142.
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bfeynman
3y ago
While neat, this does not align with what I consider readable code. Outside of an IDE, this code can be quite hard to follow when you start to introduce tricks like these, especially since it's not paradigm in other languages.
143.
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bfeynman
3y ago
would've thought they were already bought out and enshittified once they moved to mass produced canned lattes.
144.
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bfeynman
3y ago
not very useful, but it's getting better with XLA. It does not just "work" by default for any given model, and if you're missing an HLO that has an optimized kernel written you lose benefits of accelerated computing thu
145.
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bfeynman
3y ago
Managed services cannot be beat for moving quickly on infra that is not a part of your core competency. Because winding down is as simple as shutting down the instances. But the point about saving not even right. It costs a lot in staffin
146.
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bfeynman
3y ago
Resources that are shared across taxpayers... They have to pay to heat and power their homes. They are also paying property taxes that support local schools, but they are not sending their kids to school, therefore benefitting everyone els
147.
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by
bfeynman
3y ago
truly dystopian to live in a VC backed neighborhood where you don't own anything... Maybe if you were recent graduate for a few years. The whole idea of not needing a car is also not even that exciting. You don't exist in a vacu
148.
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by
bfeynman
3y ago
I actually really like what you are working on, it's a hugely unoptimized and addressed problem. If you could truly unlock potential it would be huge enabler for a large segment of businesses.
149.
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bfeynman
3y ago
Almost all major cloud players and a few startups are spinning up massive GPU clusters. Saying that building compute creates almost intrinsic value is the greatest bridge selling I've seen in a while.
150.
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by
bfeynman
3y ago
ah "multi cloud" yes we use Microsoft office for productivity and run our services on AWS. Very few heavy applications run on multi-cloud, serving static and deployments at edge maybe to get geographic distribution. But this stat
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