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We are beginning to roll out new voice and image capabilities in ChatGPT

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Re: We are beginning to roll out new voice and image capabilities in ChatGPT

#901

Post by nunobrito »

devjab wrote: post #308
nunobrito wrote: post #137

Earlier quoted context omitted.

YMMV. For my case on software development, I don't even look on stackoverflow anymore. Just type the tech question, start refining into what is needed and get a snippet of code tailored for what is needed. What previously would take 30 to 60 minutes of research and testing is now less than a couple of minutes.

I know there are a lot of google programmers out there, but was using search engines for programming ever a good idea? Don’t get me wrong, I’ll look up how to do absolutely simple things every day but I basically always look in the official documentation. Which may be why I’ve been very underwhelmed by GPT so far. It’s not terrible at programming, and it’s certainly better than what I can find on Google, but it’s not…

Glad you have time and patience to read documentation.

Such luxury is increasingly rare for software developers nowadays.

Re: We are beginning to roll out new voice and image capabilities in ChatGPT

#902

Post by nunobrito »

JTon wrote: post #79
nunobrito wrote: post #36

Earlier quoted context omitted.

It already replaced search engines. So much easier to write the question and explore the answers until it is solved.

Agreed except ChatGPT (3.5 at least, haven't tried 4) is unable to provide primary sources for its results. At least when I tried, it just provided hallucinated urls

GPT4All is capable of providing sources. This seems more to be a legal defense mechanism by ChatGPT than a technical obstacle.

Re: We are beginning to roll out new voice and image capabilities in ChatGPT

#903

Post by DrScientist »

whimsicalism wrote: post #883
DrScientist wrote: post #874

Earlier quoted context omitted.

But in your scenario - which part is adding the value? Your deep multimodal models or the MRI imaging? What you are essentially saying is the signal is so subtle that only a large NN can reliably extract it. While that may well be the case, it would be better to have a scan/diagnostic that doesn't need that level of signal processing to interpret. For example - you don't need a large generative deep multimodal model…

There are tons & tons of conditions that do not have easy scans/diagnostic and rely on subtle signals - especially if they are not a binary yes/no but a regression style prediction. We've picked a lot of the low-hanging simple to extract signals, we need large models to go to the next phase for things like parkinsons, etc.

I'm not saying there isn't stuff that can't be done more reliably - but I'd argue long term might be better investing in getting better data - rather than better fishing in a pool of low quality data.

Re: We are beginning to roll out new voice and image capabilities in ChatGPT

#904

Post by ashot »

sica07 wrote: post #855
ashot wrote: post #845

Earlier quoted context omitted.

give vello.ai a try

vello.ai is very, very slow. I used it for web searching but waiting (sometimes) more than 30 seconds for a simple queries is unacceptable

it is optimized for more in depth research rather than quick shallow answers, so a different use case.

Re: We are beginning to roll out new voice and image capabilities in ChatGPT

#905

Post by pmarreck »

modeless wrote: post #887
pmarreck wrote: post #881

Earlier quoted context omitted.

> It didn't take long to prototype. Polishing and shipping it to non-expert users would take much longer than I've spent on it so far. I'd have to test for and solve a ton of installation problems I've found some success at this by using Nix... but Nix is a whole 'nother ball of yarn to learn. It WILL get you to declarative/deterministic installs of any piece of the toolchain it covers, though, and it does a hell of…

I'm not the guy working on ordering, it's this guy https://news.ycombinator.com/user?id=TheEzEzz . Nix sounds good for duplicating my setup on other machines I control. But I'd like a way to install it on user machines, users who probably don't want to install Nix just for my thing. Nix probably doesn't have a way to make self contained packages, right?

> But I'd like a way to install it on user machines, users who probably don't want to install Nix just for my thing. Nix probably doesn't have a way to make self contained packages, right?

I mean... That's the heart of the problem right there. You can either have all statically compiled binaries (which don't need Nix to run) which have no outside dependencies but result in a ton of wasted disk space with duplicate dependency data everywhere, or you can share dependencies via a scheme, of which the only one that makes real sense (because it creates real isolation between projects but also lets you share equal dependencies with zero conflicts) is Nix's (all of the others have flaws and nondeterminism).

Re: We are beginning to roll out new voice and image capabilities in ChatGPT

#906

Post by [deleted] »

jonplackett wrote: post #779
TheEzEzz wrote: post #764

Earlier quoted context omitted.

Since this is getting a bit of interest, here's one more demo of this https://youtu.be/cvKUa5JpRp4 This demo shows even lower latency, plus the ability to handle very large menus with lots of complicated sub-options (this restaurant has over a billion option combinations to order a coffee). The latency is negative in some places, meaning the system finishes predicting before I finish speaking.

This is cool. But I want to see how it handles you going back one and tweaking it.

[deleted]

Re: We are beginning to roll out new voice and image capabilities in ChatGPT

#907

Post by md5wasp »

nerdbert wrote: post #386
londons_explore wrote: post #139

Earlier quoted context omitted.

Pay for the Plus version. Then it makes stuff up far less frequently. If the next version has the same step up in performance, I will no longer consider inaccuracy an issue - even the best books have mistakes in them, they just need to be infrequent enough.

> Pay for the Plus version. > Then it makes stuff up far less frequently. Now there's a business model for a ChatGPT-like service. $1/month: Almost always wrong $10/month: 50/50 chance of being right or wrong $100/month: right 95% of the time

Pay for the $1/month version and invert the responses; now you have the $100/month one for cheap :D

Re: We are beginning to roll out new voice and image capabilities in ChatGPT

#908

Post by bytefactory »

rubslopes wrote: post #886
bytefactory wrote: post #733

Earlier quoted context omitted.

Did you find a way to do this seamlessly including being able to say something like "Hey Bing", or do you just have a shortcut or widget for this?

No. At least on Android there is no system shortcut that takes you directly to the voice feature yet. For now, I'm using the widget.

Thanks. One day soon, hopefully.

Re: We are beginning to roll out new voice and image capabilities in ChatGPT

#909

Post by TerrifiedMouse »

famouswaffles wrote: post #896
TerrifiedMouse wrote: post #893

Earlier quoted context omitted.

How expensive could it be? Google Bard, a free service, offers the drafts for free. Just do the comparison on the user’s machine if the LLM provider is that cheap. P.S. Also aren’t LLMs deterministic if you set their “temperature” to zero? Are there drafts if the temperature is zero? If not, then that’s the same as removing the randomness no?

The drafts have to be evaluated either by a human or llm. Doing that for every request does not scale when you have millions of users. >Just do the comparison on the user’s machine if the LLM provider is that cheap. This is not possible. Users don't have the resources to run these gigantic models. LLM inference is not cheap. Open ai, Google aren't running profit on free cGPT or Bard. >P.S. Also aren’t LLMs determinis…

> a temp of 0 doesn't reduce hallucinations.

I never said it did.

> LLMs internally know when they are hallucinating/taking a wild guess.

No they don’t. If they did we would be able to program them to not do so.

I would argue that wild guesses are all LLMs are doing. They practically statistically guess their way to an answer. It works surprisingly well a lot of the time but they don’t really understand why they are right/wrong.

P.S. LLMs are kind of like students who didn’t study for the test so they use “heuristics” to guess the answer. If the test setter is predictable enough, the student might actually get a few right.

Re: We are beginning to roll out new voice and image capabilities in ChatGPT

#910

Post by kranke155 »

TeMPOraL wrote: post #782
kranke155 wrote: post #580

Earlier quoted context omitted.

Im not sure. I suspect it might be better at some advances but not necessarily better at everything.

As long as it's better at some of the advances that would make it even better at those advances, or better at more advances, then it'll quickly become better than us in approximately everything , and at that point humans become NPCs of their own story.

Is that how apes feel? You think apes look at us and feel like NPCs?

My perception is apes still feel like the main character, each and every one of them.

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