rad-b · HackerTrans

So refreshing to see such and interesting innovation in the hardware space! Curious as to what’s the business play here, as at $1400 a piece these don’t seem like mass-market devices. And the high-end market is even more constrained with the size of the subpopulation it is aimed at. Regardless of the business model, fingers crossed that more great assistive tech like this one ships!

rad-b

3 dni temudiscuss

Great comparison! We only have to take into account that applying lipstick well bears no consequences, but applying it poorly (i. e. new model tanking the benchmark) could amount to potentially losses of billions of dollars for the pig-breeders (AI labs).

rad-b

7 dni temudiscuss

A genuinely interesting read, thanks for sharing. Feels like GTM is always the hard part, regardless of how well you solve the technical piece. You can have the best solution in the world and no one to sell it to.

rad-b

7 dni temudiscuss

That might seem like obvious pivots in hindsight , but there’s no way to make such easy predictions going forward.

“Jensen’s job is to just be one step ahead of the market” — how is that a “just”? That’s arguably one of the most difficult things to do reliably (judging by how much payout it can give you). Feels like saying he’s making “just” billions of dollars.

rad-b

13 dni temudiscuss

Fully agree, that’s how I see most of my less technical coworkers reason about using AI. “Is there a Claude skill for that?” is a question I hear multiple times a week.

I see a lot of comments (incl 2 sibling comments) are always discussing whether there is a moat on AI. We agree there is no technical moat, there is nothing that Anthropic or any other AI lab could do that wouldn’t be quickly offered by other competitors too. However, _market penetration is the moat_. The deeper Anthropic is in relationships with orgs, the higher the cost of switching. Sure, for an individual it’s a 2-second job, but for a business it’s actual work of changing permissions, provisions, updating vendors etc. Nothing catastrophic but still real work, implying that Anthropic would need to drop the ball significantly to be swapped out, and wouldn’t be just because there’s a competitor who does everything kinda the same for kinda the same price (or slightly less).

Moat can be in execution and not just in technology. McDonalds has no specific burger-making technology that no other restaurant can acquire, what they do have is a well-scaled execution. Sure, there are competitors, and sure there are new comers to the burger space with different recipes (e.g. smash) but that doesn’t mean McDonalds is going under. Market penetration is the moat.

rad-b

2 miesiące temudiscuss

Unfortunately this seems quite plausible from today’s POV. As the old saying goes if you don’t want to be the product, you’ll have to pay for it. And I see only a silver of people being rich enough to afford and educated enough to care for paying privacy- or sanity-preserving tools and services.

rad-b

2 miesiące temudiscuss

Working in selection, I can say it’s more nuanced than that. Any measurement can be used as long as it is relevant to the business and related to performance. For example, you’re fine to reject people based on height if you’re hiring basketball players and being higher predicts scoring more points. Or even reject people based on gender (or other protected classes) if you can demonstrate that that specific group is absolutely necessary for you e.g. you want a counselor working with sexual trauma survivors and have evidence that matching patients to counselor on gender gives meaningfully better results for said patients.

The specific cases you mention and the finer point is how do you demonstrate the necessity of a measure? Is high general IQ absolutely necessary for SWEs? Or is it enough to have a high logical reasoning, but don’t need spatial? Do you really need high IQ or is it enough to have a lot of practical experience with hands on skills? Do you need higher IQ to do zero to one development vs code maintenance? The devil’s always in the details with these kinds of questions, and it’s definitely not a blanket “you can’t use anything”.

rad-b

2 miesiące temudiscuss

A greatly written article! Really a masterclass of (1) getting the point across and (2) being emotionally engaging all the while not requiring me to have a PhD in pharmacology to understand it.

rad-b

3 miesiące temudiscuss

Seems interesting but testing myself only yields my results? How would I compare the result to a frontier model, that part seems to be missing?

Also, the tests seem to be heavily skewed in favor of what LLMs are good at.

rad-b

3 miesiące temudiscuss

Sounds promising. How do you find ideal customers? That's usually the hard part.