Yeah noticed it too. For some of them. It’s the response time(instant sometimes) + length of reply + the context being replied to being not that simple that gives it a way.

Yeah. It is depressing.

I’ve always wanted an accessibility feature that uses haptic feedback to mimic braille patterns for reading purposes too.

In general a lot of creative stuff can be done if we focused on it even a tiny bit more.

how is that possible, clouds are even harder to dodge

which one are you in? I am in society 2.0.1B

everything is an age thing, the older you are

From your experience have you felt these people had researched their reasonings for the rewrites extensively prior. Or did they discover these improvements along the way sort of, simply an off shoot of simply being a hobby when wanting to build their tooling to define existing flows/actions

A little bit easier than using the wayback machine:

https://www.reddit.com/r/reddit.com/

I highly doubt that, do you have a source? Then again, Sequoia did invest in FTX…

TikTok and Reels with their influencers too. “If yOu ArE NoT uSiNg THesE 10 AI ToOls, yoUr …”. Granted though, some of them are actually educative. But, the ones with quick transitions, short don’t seem very authentic.

Oh wow, that’s good to know. I always attributed visual graphics to be way more intensive. Wouldn’t think a text generative model to take up that much Vram

Edit: how many parameters did you test with?

The flow of the writing style felt kinda off, like someone was speaking really fast spewing random trivia and leaving

it feels like, that was the plan all along

i wonder what the average age is for owning a house is nowadays, for gen x / millennials

Yeah, I assumed the general consensus was “alt coins” in crypto or the scams themselves are the “bubble”. But, Ethereum and initial projects that basically create the foundational technologies (smart contracts, etc) are still respected and I’d say has a use case, but is not “production ready?”. So for AI/ML in LLMs at least, things like LLaMa, Stability’s, GPT’s, Anthropic’s Claude, are not included in this bubble, since they aren’t necessarily built on top of each other, but are separate implementations of a foundation. But, anything a layer higher maybe is.

Never really understood the gatekeeping around the phrase “AI”. At the end of the day the general study itself is difficult to understand for the general public. So shouldn’t we actually be happy that it is a mainstream term? That it is educating people on these concepts, that they would otherwise ignore?

they are the shovel

metaphors

Heard of something similar in the past. “Be the Arms dealer”

it’s so effective, it only takes a few milking it to completely saturate the opportunity market

Yeah, this is the problem. The moment a couple cover each platform. The bubble gets created really fast with the wrapper implementations that follow suit, that add no added value. Or the value add may be a simple update for the ones that were first, if the first ones never implement it then I usually view the new ones as the better version.

Yeah early this year, I was crunching the numbers on even a simple client to interface with LLM APIs. It never made sense, the monthly cost I would have to charge vs others using it to at least feel financially safe, never felt like a viable business model or real value add. That’s not even including Generative Art, which would definitely be much more. So, don’t even know how any of these companies charging <$10/mo are profitable.

I said the same thing. It feels like that. I wonder if there’s some sociological study behind what has been pushing “wrappers” of implementations at high volume. Wrappers meaning, 90%+ of the companies are not incorporating Intellectual Property of any kind and saturating the markets with re-implementations for quick income and then scrapping. I feel this is not a new thing. But, for some reason it feels way more “in my face” the past 4 years.