YHK - yet another hacker news clone

When you are in the middle of a boom cycle, it's the hottest company that has the advantage. Investing in them is a matter of privilege and they get to pick and choose.

Also, Canadian VCs are bottom of the barrel as far as VCs go.

Acquired in the vc sense… not literal exit.

[1] not really but they did some innovative things and popularized a concept

Maybe in some cases. But counterexample, courtesy of The Information:

"It took just 15 minutes for Blue Owl executives to agree to invest up to $10 billion in future projects alongside real estate firm Primary Digital Infrastructure during their first in-person meeting two years ago, said Primary chief investment officer Bill Stein."

https://www.theinformation.com/articles/blue-owl-eyes-new-de...

AI seems to make some people lose their damned minds.

no, it was not

> was duplicated within a couple of days

was it already available or did it become available in a couple of days? it cant be both (neither is true, actually)

Also the situation isn't static. Investors know that the act of writing them a $870M check itself increases the chance that they'll be one of the winners, because that will attract more talent, customers, and funding to the company in a self-reinforcing cycle. And investors know that other investors know that, and that someone is going to write them that $870M check, so to some extent they're forced to think of the company as having already been successful at the fundraising and already having that momentum boost.

Only a small number of investors in the world can play the game at this level, because you have to smart enough to be right (often enough), and you have to be established enough to see the deals (be on every CEO's short list - because CEOs are only going to seriously pitch 5-10 VCs on a hot deal, if that). Otherwise you can't pull it off. Martin Casado and his team are among the few that can and I think their results reflect that.

Anyone know when this "have no moat" meme appeared? Even 5 years ago I don't remember seeing it on every post.

That’s a different set of properties in terms of size, cost, and latency. Jev (apparently, not like I’ve seen its insides) is extremely cheap, extremely fast, doesn’t cost any output tokens as it speaks the output natively, can’t get the output wrong because it speaks the format natively, and (presumably based on the docs), the context is separate from the question, meaning it should be immune (or at least highly resistant) to prompt injection attacks.

It’s not just about the accuracy of the result, it’s a collection of all the properties that make Jev interesting.

Jev took years to develop, I strongly doubt that a copycat that was put together within days after Jev’s release will be able to match it on a sun of its properties. Even if fine tuned LLMs can outperform it on raw accuracy.

To run the SDK examples below, use these OpenAI SDK versions or later: Python 3.26.0,

I thought Pythin 3.15.0 just came out, 3.26.0 must be really far off?

Have you heard that from a different source than OpenAI? From what I'd heard other models haven't gotten close, and the open source ones are like running gemma4 E2B against Opus 5.5- sure, the API calls go in and are returned the same but the quality isn't close.

no, you can't, and it's unclear why you would think this.

By all means, become an A16Z LP.

There's the potential for an inverse LLM play. In contrast with LLMs, all that seems to matter is the model, and the products the labs build around the models are all really samey and boring; the same left panel list of agents, main view agent conversation, right hand extra context, and we're now in the era of everyone creating the same cutesey furry friend on top of all this tech.

Jev is 42$/B but OpenAI is 100$/B token.

I am integrating it into the product I am building and to me it doesn't seem like there is much need to go with a SaaS for this since the requirements are so light. I just can run it in Cloud Run and get all of the scale I'll ever need, and I get to tell my customers their data never leaves my environment.

I have no faith in the technique if it cannot do the basics (i.e. not real probabilities, the confidence for coin flip outcomes)

tried it a couple of days ago here: https://jevplayground.com

the "not real probability" disclaimer only appears after you get a result

If anyone else came up with the same concept on a Reddit thread (they have) it no-one would care without those characteristics even if you are "first".

Rebranding, execution, marketing, ex-<big_name_company> and mostly importantly, hype is what gets the investors scrambling into throwing money at you.