potatolicious

13 ms·

91.
by potatolicious 1y ago
Pretty sure existing law already covers this - malicious misuse of a computer to cause damages to someone is already illegal, and the relevant statutes aren't opinionated about how this is done. I suspect a SQL injection attack, a XS
92.
by potatolicious 1y ago
Great summary. Also, some of these seem like they can be combined. For example, "Plan-Then-Execute" is compatible with "Dual LLM". Take the article's example "send today’s schedule to my boss John Doe" whe
93.
by potatolicious 1y ago
> "Wait, so you just tell the LLM the schema, and hope it replicates it verbatim with content filled into it?" In the early stages of LLMs yes ("get me all my calendar events for next week and output in JSON format"
94.
by potatolicious 1y ago
> "there is a feedback loop like this: LLM <--> deterministic agent?" More or less, though the agent doesn't have to be deterministic. There's a sliding scale of how much determinism you want in the "over
95.
by potatolicious 1y ago
So it's pretty early-days for these kinds of systems, so there's no "one true" architecture that people have settled on. There are two broad variations that I see: 1 - The LLM is in charge and at the top of the stack. Th
96.
by potatolicious 1y ago
I actually take some minor issue with OP's definition of an agent. IMO an agent isn't just a LLM on a loop. IMO the defining feature of an agent is that the LLM's behavior is being constrained or steered by some other logical
97.
by potatolicious 1y ago
Yeah, I will say now that I've played with the AI coding tools more, it seems like there are two distinct use cases: 1 - Using coding tools in a context/language/framework you're already familiar with. This one I have be
98.
by potatolicious 1y ago
Agree with all of this. The ridership might be there but I doubt the business case is - and this is true in Europe as well. As far as I can tell sleeper services generally are not money-makers, and are subsidized by regular passenger serv
99.
by potatolicious 1y ago
I think this pretty substantially overstates ChatGPT's stickiness. Just because something is widely (if not universally) known doesn't mean it's universally used , or that such usage is sticky. For example, I had occasion to
100.
by potatolicious 1y ago
This is exactly it. Selling the output of a LLM is going to an incredibly cut-throat and low-margin business. The more interesting, novel, and useful work you wrap the LLM in the more defensible your pricing will be. That said I think this
101.
by potatolicious 1y ago
Heya, any way to reach out to you directly?
102.
by potatolicious 1y ago
You can, and in situations where the computation is unavoidably long that's what you'd do. But if you can do a bit of work to guarantee the computation is fast then it removes a potential failure mode from the system - a particula
103.
by potatolicious 1y ago
> "why not just run the checks at the backend's discretion?" Because the other side may not be listening when the compute is done, and you don't want to cache the result of the computation because of privacy. The se
104.
by potatolicious 1y ago
> "Even 2 years ago, before agents or reasoning models, these LLMs were extremely powerful. The catch was, you needed to figure out what worked for you." Sure, but I would argue that the UX is the product, and that has radica
105.
by potatolicious 1y ago
Sorry, maybe I could've phrased it better: it basically forces the devs to divide their tools into buckets of fewer tools manually . (The Travel Agent has N tools, the Research Agent has M tools, etc. all specified by the dev) The pit
106.
by potatolicious 1y ago
It seems like the main pitch here is auto-inclusion and auto-exclusion of various tools via an orchestration agent (which may or may not be the main model itself? Unclear from their post) Mostly this seems like an end-run around tool callin
107.
by potatolicious 2y ago
> "appears to have found that that the AI/ML organization built at Apple struggled to manifest its work into successful product wins despite the massive financial investment" I would contest this statement very vigorou
108.
by potatolicious 2y ago
> "I'm convinced it would have been cheaper to just clean that code up in place" Generally agreed. I'm generally very bearish on large-scale rewrites for this reason + political/managerial reasons. The trick
109.
by potatolicious 2y ago
Correct. Google’s forays into payments, including identically named but different products, is so complex that it has a Wikipedia diagram: https://en.wikipedia.org/wiki/Template:Google_payment_apps
110.
by potatolicious 2y ago
Yeah, I think your point is totally valid. Why does CrowdStrike need syscall access on Windows when it doesn't need it elsewhere? I do think there's an argument to be made that CrowdStrike is more invasive on Windows because Wind
111.
by potatolicious 2y ago
Yeah, I see a lot of noise on social media blaming this on Microsoft/Windows... but AFAIK if you install a bad kernel driver into any major OS the result would be the same. The specific of this CrowdStrike kernel driver (which AFAIK
112.
by potatolicious 2y ago
There's a fairly common belief that "selling data" is a money-printing business, but it generally isn't. Specifically, data is only worth as much as the buyer is able to exploit it to make money. Meta and Google have fig
113.
by potatolicious 2y ago
Not to mention the problem is pretty eminently solvable: let users flag a car as having an unacceptable condition. If that happens dispatch a new car and send the dirty car directly back to home base for cleaning. The main problem with Uber
114.
by potatolicious 2y ago
I remain very skeptical that most companies or products can or should integrate with LLMs - and I say this as someone who works on a LLM-based product! Overall I feel like our industry has lost the plot to a large degree. Hype has always to
115.
by potatolicious 2y ago
Having worked with many lawyers... for the most part, yeah. Legal wants you to behave ethically at all times, not because they necessarily have some ideological commitment to ethics (though some do), but because it keeps the company out of
116.
by potatolicious 2y ago
Exactly this. Intermediate shippables are derisking. There are a few things that this strategy represents to executives: - "You have already received benefit X for your investment in our team, and X has been well worth it. Continued in
117.
by potatolicious 2y ago
> "It's a catch 22 with ML though. What you wrote is completely true however with ML you cannot say "We will get to 98% precision and 92% recall by Q4"." This applies also to ML - it applies to all tech proje
118.
by potatolicious 2y ago
One thing really worth addressing from the post that I don't think author accepted, and I see this a lot with engineers: > "That did introduce tension for our team because we were supposed to be taking experimental bets for
119.
by potatolicious 2y ago
This is the core tension at the heart of Alexa that the author didn't address at all. It's not that Alexa is a bad product or that it wasn't cutting-edge, it's that it contributed very little to Amazon's other lin
120.
by potatolicious 2y ago
Not a super-expert but I've used Vapor on some personal projects. Do you have a link to the mention for "protocol server"? I'm not familiar with the concept but might be able to help.

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