391–400 of 768 posts
Earlier quoted context omitted.
For translations, I use Google translate. Should I switch?
Yo, check this out! DeepL is like way better than Google Translate, so you should totally use it. But, GPT-4 is like a game-changer, dude! It's obvi way better than DeepL, and it can do all sorts of stuff like rewording, explaining in detail, and changing up the style. This text was translated from Japanese to gamer-style English by ChatGPT-4, no joke!
From my perspective it’s just _confusing_ to work in AI right now. We have some massive models that are doing some really neat stuff, and apparently hundreds of millions of people are using them—but I keep wondering: to do _what_, exactly? I’m not asking what the models can do, I’m asking what people want the models to do every day, all the time. I’ve been shown some neat pictures people made that they thought were c…
Earlier quoted context omitted.
I went with Logseq and for the first time in a number of years (actually since OneNote 2016, the last self hosted version) I am actually happy with my tooling again. It doesn't cover everything OneNote 2016 did, but it does a lot more in other areas and it is progressing nicely.
This looks great! Do they have a (decent) mobile app? Being able to jot stuff down whenever, wherever is a make-or-break feature for me...
Earlier quoted context omitted.
> can take hundreds of pages of text and distill it down to an executive summary of any length This is the kind of breathless claim that no doubt fuels the skeptics. None of the context windows are large enough for "hundreds of pages" nor "executive summaries of any length". I did believe that it's possible to make LLMs do that kind of task with significant engineering effort to make it do summaries iteratively someh…
There are plenty of tools that make it possible, such as langchain and the rest
The point is that it's not a turnkey solution today, but some of the comments on here make it sound like it is. That's a form of hype.
Earlier quoted context omitted.
You’re asking “what’s so big about GUIs? Literally nobody has asked to move a pointer around a screen”. It’s the use cases these thing enable that are important. Today, I wrote a draft product announcement. Only after I was done did I realize I had written it in a really impersonal third person (“users will be able to”). No big deal, but maybe 10-20 minutes of work to make it energetic and second person (“now you can…
I mean Google revolutionized search. Apple revolutionized personal computing. OpenAI revolutionized… rewriting things with slightly different wording? I’ve seen so many breathless people posting “this would have taken me so long to search” and then I type 3 keywords from their massive prompt they crafted and find it instantly on Google. We’re talking 1000x or more faster. I feel like the same is happening in your com…
Let me repeat that: You can program GPT in English. ENGLISH!
You're complaining about the first nuclear test bomb being impractical and uninteresting. How will this change the world? That huge monstrosity had to be affixed to the top of a test gantry and took years of effort by a veritable army of the best and brightest to make! No way it could change war, or geopolitics, or anything. No way..
This is the day after Trinity. The bomb has gone off. A lot of physicists are very excited, some are terrified, and the military is salivating. The politicians are confused and scared, and the general public doesn't even know yet.
That doesn't mean the world hasn't changed, forever.
Earlier quoted context omitted.
- Amazing translations (this alone is a game changer) - Language learning... The ability to improvise realistic conversations is huge. I can ask to talk about cooking a specific dish or a sport! - As others have noted, refining documents similar to grammarly - Looking for a product with extremely specific features (though it isn't very good at comparing yet) - Searches that are too vague and complicated to articulate…
Didn't we have amazing translations for a long time? I do not notice a significant improvement between new models and last year's deepl/Google translate.
Earlier quoted context omitted.
> What am I missing? I'm going to guess (assume) you probably haven't worked in a 'real' business. A place where elbow grease still does the majority of the work and where Windows 8 was only just phased out. The killer app (to me) in case of GPT is GPT itself, not ChatGPT. ChatGPT just allows me to easily test use cases for GPT. There are many interesting use cases for those elbow grease businesses for GPT. For examp…
> There's still a lot of data entry being done from unstructured text. Where specifics like names and addresses need to be extracted from letters and emails and contracts and other stuff. I've worked on these challenges before using different strategies and GPT blows my mind with what it can do just by asking to grab this data and format it as JSON. Is this data confidential or something you are willing to send to an…
I'm probably way too late for this thought to get any traction / discussion - but I have this weird feeling that openai screwed up and showed it's "cool new thing" too early, and publicly. As much as it pains me to say this, I don't think the real money is in making this a service, or "the product." I think the real money is in using AI internally as a puzzle piece of your backend - ie. the secret sauce behind xyz pr…
The issue with Language models for the companies that create them is they are so general. If a company builds a language model into their backend, and another one comes out from a different company that's 1.3x as good, it would be trivial to switch to the better one. It's not like a company being so tied to AWS that they can't even fathom switching to another cloud platform because all their internal shit is built in to the thousand specific ways AWS works. As a result, to be competitive you need to be the very best in that realm.
Earlier quoted context omitted.
> Again, no bugs, perfect code How do you know? Either you know enough Go to be able to tell, and thus you'd be able to write this yourself, or you don't and thus you can't really judge. I mean, it probably is right, but this "I don't know something, but I trust what the chatbot told me" is what worries me about the rise of the LLMs.
Reading and validating code is way easier than figuring out how to write it in the first place. A lot of programming is the same - functions, conditionals, loops, libraries, etc.. The hard part is mostly semantics across languages. Way easier for GPT to do the first pass, then go through it and read up on the parts you don't understand.
From my perspective it’s just _confusing_ to work in AI right now. We have some massive models that are doing some really neat stuff, and apparently hundreds of millions of people are using them—but I keep wondering: to do _what_, exactly? I’m not asking what the models can do, I’m asking what people want the models to do every day, all the time. I’ve been shown some neat pictures people made that they thought were c…
People have no clue human intelligence has very little to do with "statistical analysis of old data".