+1

and a product manager

This is such a steep price tag. I loved what Jeremy Howard put up on fast.ai and respect the heck out of his team, but I've seen too many people scammed by online courses that sell a dream. This one seems to be selling a dream as well.

I'll be purchasing the course to try it out but I think my concern is not a one-off thing.

I participated in the first batch and am not a shill, look through my comment history.

The dismissive comments here pain me as Ive seen them work hard on this over the last year as they integrated many of our feature requests and built out the platform. I’ve also had time to let the ideas sink in.

You definitely cant hang back and expect some magic ai to do all the work for you.

I also cant say „you will definitely benefit“ since everybody is difft.

But i can honestly say it‘s the real deal, no ifs and buts.

I'd say the fact that I'm unable to show purchase intention without being accused of being a shill proves my point.

I was unaware that you had a point.

Also Amodei has an assumption that a 100m model will make 200m of revenue but a 1B model will make 2B of revenue. Does that really hold up? There's no phenomenon that prevents them from only making 200m of revenue off a $1B model.

> So, there'll be a one-time, 'Oh man, we spent a lot of money and we didn't get anything for it.'

GPT-4.5 has entered the chat..

It seems like you burned out on writing this comment

Learning is much easier now. For example, on college level math texts sometimes you get stuck on a problem and aren't sure what you're missing. You could hire a tutor, go to office hours if you're still a uni student, or fumble on mathoverflow hoping for a solution, or wait 5 business days for a questionable response.. but now LLM's can help solve most problems up to the college level.

I don't see the problem as it's not like you're forced to use their image generation model.

I feel like being at the bottom of the value chain is a mis-categorization. If you consider base LLM model as their sole offering I agree with you, but these companies have shown an eagerness to eat their way up the value chain. Agent mode, Search, Study Mode, AI code editors, are such examples of products that could be higher-on-the-chain startups but are offered in-house by OpenAI.

This reminds me of Amazon choosing to sell products that it knows are doing well in the marketplace, out-competing third party sellers. OpenAI is positioned to out-compete its competitors on virtually anything because they have the talent and more importantly, control over the model weights and ability to customize their LLMs. It's possible the "wrapper" startups of today are simply doing the market research for OpenAI and are in danger of being consumed by OpenAI.

OpenAI valued at 300B will never be able to produce the same products "wrappers" that these 5 people startups are making. Same reason Facebook could not make Instagram, of Jira could never make bootcamp for example.

Counterexample- Facebook made Threads which has similar # users as Twitter now.

Didn't it came out recently that those numbers were bugus, since basically every Instagram account must have a Threads account, and those are not actual active users?

…. Does anyone actually use Threads? I’ve never once seen a threads link and I understood the user count was just because every facebook or IG or whatever user automatically got a generated account?

As with most social platforms, it differs massively per country, it would help a lot if people here spent more time considering the diversity of the world.

Ok, but if we have to go looking for it, then its not exactly a juggernaut.

My girlfriend loves it. She’s an immigrant from Kazakhstan and apparently the Kazakh community on Threads is very active. Reminds her of home.

I have also never seen a Threads link. For all the hatred of X, people do actually use it.

75% of Twitter users are bots now, some I'm sure are real people.

But people link almost exclusively to X everywhere, for anything from memes to timely news.

There may be a lot of bots in the comments but the platform is genuinely used by a lot of people, that’s just easily observable.

Don’t believe everything you read if you actually believe this. Threads in no way has close to the same actual usage or users

Meta really, really likes to game their numbers. Take claims of that with a hefty grain of salt.

This is just the exact same culture as Deepmind minus the "everything on Slack" bulletpoint.

Surely one wouldn't complain about infra at deepmind?

I just shorted it as well.. 3 days before you.

And I got roasted. Invest with caution.

I feel you. I got lucky.. for now. Sometimes you just got to pick the right day as it was better than yesterday.

I do feel like large scale LLM vulnerabilities will be the real Y2K