jgbuddy

Yes, and they were accepted. A year or two ago I would have been less confident but now almost UX is happy to cite sources.

Agreed- my comment was tongue-in-cheek.

A literal example is that I can use AI to file my taxes instead of spending a weekend and hundreds of dollars to have an accountant do it for me. It costs me like $5. that 245$ delta is the value of that output to me, as long as I am confident it is correct.

You are making the assumption that the models are only used / paid for by 2.5% of the population (your knowledge workers value). There will be new value created by these models which people are happy to pay for which simply did not exist at all before. It is also naive to say that the hyperscalers are going to be expecting a return on this in 5 years, it will be entirely propped up by investments / IPOs as has been the case with any tech company for decades now to reach scale. The hyperscalers are currently spending ~650b combined annually, which they have the cash for and can sell in future compute instantly.

This is surely a huge blow to all the hyperscalers looking to build datacenters in the agricultural regions of Italy.

Exactly

How to get to HN front page: 1) AI generate an article about why AI sucks 2) Profit

True

agreed completely

Funny the European and US models have the same price. effectively a 20% discount buying it in europe.

Even if someone could buy this off she shelf and install themselves- I don't see a single use case that would make this cool at this power level (eg. EV conversions- 200hp is slow in almost anything!)

Anthropic actually not so bad. Anthropic models code good, usually. Price not so high compared to time to do it by self.

What would the alternative have been? Not reporting that they were purchased at all?

The premise here seems to be that spacex purchased the trucks for the sole purpose of inflating the tesla reporting, which of course makes no sense from a business perspective

one liner:

eval(str)

This is huge, long time coming. Interested to see if there is SwiftUI support.

Well don't we have numbers from both models on these benchmarks already? What else is there to do except include them in the table?

Bingo!

Were people overpaying 30% for tesla in 2010?

Worth noting that this model, unlike almost all qwen models, is not open-weight, nor is the parameter count exposed. Also odd that it is compared against opus 4.5 even though 4.6 was released like 2 months ago.

Agreed

As with any AI post lol

This is unfortunately how companies die

Is this a joke

This is of course true as a blanket "gotcha" headline- although I wouldn't call a failed test the CI itself failing. A real failure would be a false positive, a pass where there wasn't coverage, or a failure when there was no breaking change. Covering all of these edge cases can become as tiresome as maintaining the application in the first place (of course this is a generalization)

Lol AI is not search. I will never wrap my head around the pessimism of AI on HN

Damn this thread is a gold mine. Wishing you the best. My advice is to prioritize health and exercise and spend time outside somewhere you can run into new interesting people. build a circle

this paid off so well for anthropic and so poorly for sam altman. Optics are everything- look at the comments of the cbs interview.

Interested to see how 8gb of ram holds up here.

Isn't that the whole point of the tariff? To incentivize US investment?