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I'd guess some people likes to read ¯\_(ツ)_/¯

i know, there an inexhaustible amount of human written books to read before i'd be desperate enough to read the Markov chain books.

I’d start by reading the comments you are replying to.

d'oh

It happens :)

On that note though, the other day I asked Opus to write a short story for me based on a prompt, and to typeset it and export it to multiple formats.

The short story overall was pretty so-so, but it had a couple of excellently poignant quotes within. I was more impressed that I was reading a decently typeset PDF. The agent was able to complete a complicated request end-to-end. This already has immense value.

Overall, the story was interesting enough that I read until the end. If I had a young child who had shown this to me for a school project, I would be extremely impressed with them.

I don't know how long we have before AI novels become as interesting/meaningful as human-written novels, but the day might be coming where you might not know the difference in a blind test.


i am in the process of finishing up a role doing annotations for these, for a company i cannot name (basically clicking lots of box hundreds of times a day)

So the endless hosepipe of repetitive , occasionally messed up, requests has probably not helped me endear myself to them.

Anecdotally having chatgpt do some of my CV was ok but i had to go through it and remove some exaggerations. The one thing i think these bots are good at is talking things up..


Yes, as it stands now, all frontier models are still downright corny. But a lot of elements of good storytelling are there: the story Opus generated used symmetry and circular storytelling, created tension and release, used metaphor appropriately and effectively... all of those things are there. But the actual execution was just corny.

But you should read the stuff I wrote when I was young. Downright terrible on all accounts. I think better training will eventually squeeze out the corniness and in our lifetimes, a language model will produce a piece that is fundamentally on par with a celebrated author.

Obviously, this means that patrons must engage in internal and external dialogue about the purpose of consuming art, and whether the purpose is connecting with other humans, or more generally, other forms of intelligence. I think it's great that we're having these conversations with others and ourselves, because ultimately it just leads to more meaningful art. We will see artist movements on both sides of the generative camps produce thought-provoking pieces which tackle the very concept of art itself.

In my case, when I see a piece of generative art or literature which impresses me, my internal experience is that I feel I am witnessing something produced by the collective experience of the human race. Language models only exist because of thousands of years of human effort to reach this point and produce the necessary quality and quantity of works required to train these models.

I also have been working with generative algorithms since grade school so I have a certain appreciation for the generative process itself, and the mathematical ideas behind modern generative models. This enhances my appreciation of the output.

Obviously, I get different feelings when encountering AI slop where in places where I used to encounter people. It's not all good. But it's not all bad, either, and we have to come to terms with the near future.


so is it fun because you had fallen behind and now you think you can fit with the people with more experience?

well, I have news for you, the people with experience are also using AI too and they can still produce better and more than you do.


hacked? LOL! Apple and Google had worked before together, remember Covid contact alerts?


> When we asked Google whether it developed this feature with or without Apple’s involvement, Moriconi confirmed it was not a collab. “We accomplished this through our own implementation,” he tells The Verge.


That they wrote their own implementation does not mean that they reverse-engineered the protocol.


less people but downsizing deliverables? yes

Hopefully the ones you let go are not impacting the pool of actual required skills and knowledge.


There’s also the claim that when layoffs are looming the better people leave, even if the organization wants to retain them.


do you have examples or any getting started guide to know what can I expect ?


what sorts of examples would be helpful? will add screenshots to the readme plus anything else you'd like.

you can also check out the hosted version to see what to expect


It would be helpful to have some examples that show the prompts needed to develop simple shapes, then how to iterate to add improvements. A video of you using it to create something specific would be great.

I first tried "a work table with a roof" which gave me a reasonable model but with a flat roof, then I tried "a work table with a pitched roof" which gave me a very unlikely and unworkable model with the halves of the roof disconnected and not contacting the vertical supports. Then I tried the "Adam Pro" option and it came out looking more like an Adirondack chair than a table, but not one you could sit in! =)

I would like to know what to write instead to get a more useful model. Very cool project though!


LOL!


Personally, I'm not demanding to enable tinkering on everything if that's raising prices, it could be as simple as having some "This unit is serviceable" label, I'd let people to value it and manufacturers to follow it.

TBH, I think most people wouldn't care, specially in USA, it is way easier and cheaper to replace than to repair, workmanship is really expensive here.

But If a manufacturer shuts down a Cloud service that bricks my device they should open the interfaces and protocols to make them functional.


Mission accomplished: who'd tell disrupting your competition poaching their talent and erasing value (giving it away for free) would make people realize there is no long term value in the core technology itself.

Don't get me wrong, we are moving to commoditization, as any new tech it'd be transparent to our lifestyle and a lot of money will be done as an industry, but it'd be hard to compete as a core business competence w/o cheating (and by cheating I mean your FANG company already has a competitive advantage)


Whoa that's actually a brilliant strategy: accelerate the hype first by offering 100M comp packages, then stop hiring and strategically drop a few "yeah bubble's gonna pop soon" rumours. Great way to fuck with your competition, especially if you're meta and you're not in the lead yourself


But if Meta believe it's a bubble then why not let the competition continue to waste their money pumping it up? How does popping it early benefit Meta?


yup, because this could not be a scam.

You are free to try it, it's over the counter, no one is oppressing you here, Darwin is your friend.


Same sht over and over again.

Apple keeps good or great things as their are: Apple is loosing its edge look how other are so innovative.

Apple takes some risk and go bold on things: Why changing things?

At the end everyone else complaining would just follow and copy.

Rinse and repeat, bring the eyeballs and the money to my btching site or profile.


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