rfw300

7 ms·

61.
by rfw300 2y ago
That's a morally questionable action—it might encourage some businesses to stay on Windows 98 even longer. And if that weren't bad enough already, the employees would also have to use Teams!
62.
by rfw300 2y ago
But what’s missing is just a fundamental sense of scale. One can rightly think this is a bit ridiculous, while also understanding it’s not that big of a deal . Honestly, there are so many economic and social issues that have real importanc
63.
by rfw300 2y ago
The title is wrong; prevention is what they do. The actual quote from the article is: > As a result, we prevented 2.36 million policy-violating apps from being published on Google Play and banned more than 158,000 bad developer accounts
64.
by rfw300 2y ago
I have done the latter much more than the former. My experience has been the issues come from inputs that you don’t foresee, not reliability on in-distribution uses (which would be your “training” data for prompt optimization). And the worr
65.
by rfw300 2y ago
I always find myself baffled by “prompt optimization” frameworks. Do people really find themselves needing random perturbations of a fixed prompt to improve accuracy? It’s my experience that the challenging part of writing a prompt is figur
66.
by rfw300 2y ago
Yeah, I think NVDA could fall another 20% and its stock price would still imply "massively profitable company primed for continued explosive growth." Its previous valuation was a premium even above that story.
67.
by rfw300 2y ago
If I’m reading this correctly, it isn’t a severance package, exactly. The only “compensation” an employee is getting in exchange for agreeing to resign in September is the ability to continue working from home. Things are messier if agencie
68.
by rfw300 2y ago
Not really - there's a difference between having the docstring of a function available for you to read, and a model which has learned from thousands of examples how to use a particular API and integrate it into a larger set of instru
69.
by rfw300 2y ago
What do you mean by “leak verbs”?
70.
by rfw300 2y ago
MGX is an arm of the United Arab Emirates' sovereign wealth operation: https://www.mgx.ae/en
71.
by rfw300 2y ago
It's not a good outcome, but it's also not fraudulent conveyance. Principally because the proceeds of the sale go to the victims.
72.
by rfw300 2y ago
The New York Times is relying on their audience's ability to understand that plants are not conscious beings. "Mournful cries" is just an evocative way of describing the auditory signals plants produce under stress—which the
73.
by rfw300 2y ago
I don’t agree with that analysis. The modern Supreme Court loves to wade into high-profile First Amendment issues, all the more when it’s actually a relatively novel application. They’ll take this case either to be argued at the end of this
74.
by rfw300 2y ago
So: - The first example is a multiple choice question being answered by AI. - “The hero text below says: “LIRA lets you quickly save notes, summarize, and answer questions on any webpage, undetected .” (emphasis in original) This sounds mo
75.
by rfw300 2y ago
I’d note that most U.S. law journals work very differently from what you describe. Strict Bluebook compliance is their raison d'être, much more than legal scholarship. I am not exaggerating that. (And authors are not generally expected
76.
by rfw300 2y ago
Later on, it also says that Apple was stopped work on the second-generation Vision Pro and is focusing only on a lower-cost device. So that’s actually pretty reasonable.
77.
by rfw300 2y ago
Fortunately, they were able to raise quite a bit of money (>$300K) on GoFundMe: https://www.gofundme.com/f/uhbka-support-data-coladas-legal-...
78.
by rfw300 2y ago
I don’t want to be in the business of LLM defender, but it’s just hard to imagine this aging well when you step back and look at the pace of advancement here. In the realm of “real math and science”, O1 has improved from 0% to 50% on AIME t
79.
by rfw300 2y ago
I think what I’m saying is a bit more nuanced than that. LLMs currently struggle with very “wide”, long-run reasoning tasks (e.g., the evolution over time of a million-line codebase). That isn’t because they are secretly stupid and their ca
80.
by rfw300 2y ago
It’s undeniably less impressive than a human on the same task, but who cares at the end of the day? It can do 10,000 attempts in the time a person can do 1. Obviously improving that ratio will help for any number of reasons, but if you have
81.
by rfw300 2y ago
It’s definitely the case that there are some programming workflows where LLMs aren’t useful. But I can say with certainty that there are many where they have become incredibly useful recently. The difference between even GPT-4 last year a
82.
by rfw300 2y ago
A lot of skepticism here, but these are astonishing results! People should realize we’re reaching the point where LLMs are surpassing humans in any task limited in scope enough to be a “benchmark”. And as anyone who’s spent time using Claud
83.
by rfw300 2y ago
This is the purpose of Zelle, Venmo, money wires, and checks. But there are many problems they don’t solve, that customers and sellers prefer to be solved and are willing to pay for.
84.
by rfw300 2y ago
GitHub Copilot's telemetry does collect data on whether generated code snippets end up staying in the code, so presumably models are tuned on this feedback. But you haven't solved any of the problems set out by Karpathy here—this
85.
by rfw300 2y ago
If you’re concerned about the environment, that is a trade you should take every time. AI is 100-1000x more carbon-efficient at writing (prose or code) than a human doing the same task. https://www.nature.com/articles/s
86.
by rfw300 2y ago
I agree with most of the criticisms here, and will add on one more: while it is generally true that you can’t beat “serverless” inference pricing for LLMs, production deployments often depend on fine-tuned models, for which these providers
87.
by rfw300 2y ago
If anything, OpenAI's affection for bullet lists is probably a window into why ChatGPT uses them so frequently.
88.
by rfw300 2y ago
Your instinct is correct. The major legal research providers (Thomson Reuters and LexisNexis) both provide “citators”, which are human annotations of which cases and statutes have been overruled, upheld, criticized, etc. One of the issues t
89.
by rfw300 2y ago
There's more examples on page 18 of the paper: https://dho.stanford.edu/wp-content/uploads/Legal_RAG_Halluc...
90.
Legal models hallucinate in 1 out of 6 (or more) benchmarking queries(hai.stanford.edu)
215 points by rfw300 2y ago|255 comments

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