7thpower

The awareness of a poor return on investment is a good thing for society. We want to do more with fewer resources.

Making terrible decisions, such as investing in distractions for your company and consumers, and then letting your workforce pay the tab.. is the thing that is not great for society.

How are you using it in ci/cd?

Typically any company that can’t get Nvidia to fill their orders will have at least some AMD.

Too late, NK already completed all the markdown files needed to both create their hypernuke and recreate the hurricane machine Dick Cheney had left Obama.

That may not actually cut trees.

Define “totally superior”?

Was this comment created using quantized llama 3?

I love Groq, but across every single line break in your post there is a glaring issue that is easy to refute with in 15 seconds, even without 300t/s of throughput.

You must not be talking about the Anthropic endpoint…

Just sent a request, fingers crossed.

Appreciate the gentle let down.

Yes, this! I am dying for need of zerotrust enterprise features and am about to have to actually talk to one of the enterprise sales folks, which will chew up a bunch of time and add stress I’d rather avoid.

Can you please define what “best” is and why the market is a measure for it.

https://newsletter.semianalysis.com/p/ai-value-capture-the-s...

But also, trust me bro.

With this line of thinking, nobody would have ever built refineries, or fabs, or clouds.

The frontier labs have fantastic margin on inference. You do not understand how fantastic. And they have license to change inputs at will based on profitability.

They are not only innovating on models and tooling, they are innovating on cogs (I wrote this btw, and I’m not going to stop writing this way because Claude discovered it’s brilliant).

Speaking of models, the cost of training is not scaling nearly as fast as demand for inference. Training used to be the biggest cost by far, now it’s not.

So margin is increasing, and guess what else is happening? Customers are finding value. And the customers that are finding value are also the ones who happen to have huge enterprise budgets.

And while this is happening, so is implicit collusion (and lock in, and hype, and all that). And so prices are going up.

They’re going to be just fine man, there is no inference bubble.

They can modulate supply. It’s all going to be fine. You should invest.

Farms are failing where? More than usual?

I like my H2D, but it definitely hit a brick wall. I replaced it, and had the same issue with one of the nozzles not printing consistently.

This was after around 700 hours, which isn’t terrible, but working with their support is exhausting. I don’t think I’m going to touch it again until winter, unfortunately.

No I am genuinely curious :)

Keep going…

I am pretty sure I am going to file this away for some copypastas when I want to confuse someone. I’ll just have ChatGPT or whatever swap out some words.

Thank you, my friend.

We were robbed of the end to that game. I loved it so much and will always wonder what closure I would have been robbed of if they had just completed it.

Correct. The constraint is the human’s ability to internalize and make tradeoffs. This will continue to shift and there will be fewer decisions that rely on humans relative to the work being completed, but the humans will still remain the constraint in many types of complex work for some time to come.

And also fuck scrum and purist agile too.

Yes, this thread made me realize I may not understand what daydreaming is.

Was this the first time you had realized that they did, in fact, love you the entire time?

I hated pages until I started using the cli. I have started using it more for prototypes, etc. can’t beat it for the price.

It’s a tradeoff.

None of which are nearly as beginner friendly as vercel.

Started my career working in AI for a company that had a couple large refineries (I didnt dare refer to what we were doing as statistics because those guys had all been fired a decade before after attempting to perform some back magic they called six sigma), pipelines, a fleet of ethanol plants (at the time) and a couple biodiesel bets, including one that attempted to convert corn oil into biodiesel.

I was blessed to have a leader who wanted us to spend a lot of time on the field, working turnarounds doing, whatever I could to be helpful, etc. to learn the business and build relationships.

Working around the refineries, especially during turnaround, was a crash course in constraint theory and economics.

Good times.

At any rate, all of that was to qualify that most people would not believe how much time and money has been wasted trying to find innovative new ways to serve and capitalize on the CA biodiesel market.

That is incredibly easy for you to say.

Setting aside the “bug”, the intended functionality is effectively an insurance policy taken out by Anthropic to cover their downside, but paid for by users.

This one sided type of embedded insurance is not unique to Anthropic, but sharply increasing cost, layered on top of the self righteousness, seems to be making the stench unbearable over the past year.

I used to think of Anthropic as the good guys, and I don’t doubt they still sincerely hold that view of themselves, but I think I prefer Sam Altman’s version.

His brand of self righteousness was convincing at first but eventually he started to turn to the camera and wink, like in House of Cards, to let us know.. he knew that we knew. And then, for me anyway, it became more mundane and less offensive.

When Dario and crew go out and profess, as they have for years now, that if we could only see the thing that’s a few months away, we would all realize how doomed knowledge work and national security are…

..and then continue to release software so buggy and shitty that they have to do biweekly HN apology tours, I begin to miss the wink at the camera.

Not sure how much Azure OAI has changed, but when I last used it 2-3 years ago, it was just a farce to get you using provisioned throughput. The throughput quotas were small, the process to request more was bureaucratic, and the Azure SAs were

It was also very clear the OAI and MS teams held each other in contempt (not relevant, but was interesting and grew in the immediate aftermath of the Altman drama).

So why were we using it? OpenAI don’t really have an enterprise go to market, bedrock still relied on Claude 2, and we weren’t willing to YOLO on clickthroughs.

Once Claude 3 came out, we jumped ship. That sucked too, although I hear it’s gotten better though.

I have yet to talk to someone who is taking this approach and doesn’t end up with a dumpster fire, but here is to hoping this time is different.

Hope it works and you post about it.