g-mork

It is hilarious, because it is blinded by our own self-imposed optics. It has been our policy to import droves of immigrant workers who have little hope but to take up gig economy jobs often illegally and remain fixed at the same (or worse) levels of economic status as the day they arrived in the country. Yes in Dubai they simply confiscate passports. At least they're honest about it

This is a hilarious comparison given Amsterdam's own history with regard to immigration. Not even historically but contemporarily too.. Just Eat, probably the largest employer of bargain bucket labour across Europe today is headquartered in Amsterdam

It's possible that it's simply paranoia, but moments where Opus starts acting like Haiku seem to correlate with periods of higher latency and HTTP errors. Don't like reporting this because it's so hand-wavy and conspiratorial, but it's difficult not to think they're internally using extraordinary measures of some sort to manage capacity.

But even when Opus is running healthy, it still doesn't address the underlying issue that these models can only do so much. I have had Opus build out a bunch of apps but I'm still finding my time absorbed as soon as it comes to anything genuinely exceeding "CRUD level difficulty". Ask it to fix a subtle visual alignment issue, make a small change to a completely novel algorithm, or just fix a tiny bug without having to watch for "Oh, this means I should rewrite module <X>" is something that simply isn't possible while still being able to stand over the work.

It's not to say I don't get a massive benefit from these tools, I just think it's possible to be asking too much of them, and that's maybe the real problem to solve.

Oops, fixed

Speaking only personally of course, I'm completely over the chat idiom in almost every way. Where is all this future demand coming from? By the time Android lands a God mode ultimate voice assistant it's pretty much guaranteed I will be well beyond the point where I'd want to use it. The whole thing is starting to remind me of 3G video calling where the networks thought it'd change everything, and by the end of it with all the infrastructure in place, the average user has made something like 0.001 3G-native video calls over the lifetime of their usage.

Would really love some path forward where the AI parts only poke out as single fields in traditional user interfaces and we can forget this whole episode

My answer to this is simply rolling back to the pro plan for interactive usage in the coming month, and forcefully cutting myself over to one of the alternative Chinese models to just get over the hump and normalise API pricing at a sensible rate with sensible semantics.

Dealing with Claude going into stupid mode 15 times a day, constant HTTP errors, etc. just isn't really worth it for all it does. I can't see myself justifying $200/mo. on any replacement tool either, the output just doesn't warrant it.

I think we all jumped on the AI mothership with our eyes closed and it's time to dial some nuance back into things. Most of the time I'm just using Opus as a bulk code autocomplete that really doesn't take much smarts comparatively speaking. But when I do lean on it for actual fiddly bug fixing or ideation, I'm regularly left disappointed and working by hand anyway. I'd prefer to set my expectations (and willingness to pay) a little lower just to get a consistent slightly dumb agent rather than an overpriced one that continually lets me down. I don't think that's a problem fixed by trying to swap in another heavily marketed cure-all like Gemini or Codex, it's solved by adjusting expectations.

In terms of pricing, $200 buys an absolute ton of GLM or Minimax, so much that I'd doubt my own usage is going to get anywhere close to $200 going by ccusage output. Minimax generating a single output stream at its max throughput 24/7 only comes to about $90/mo.

250 ms f/4 ISO 512000 in case anyone was wondering. I wonder if they applied any denoise, it looks great for such high ISO

Saw a comment here yesterday referencing the Attention Is All You Need paper title in a tongue in cheek way. Kinda fun to imagine the friend/romance angle is just a bunch of socially awkward folk at OpenAI misinterpreting the original paper

Another instinctual reaction here. This specific formulation pops out of AI all the time, there might as well have been an emdash in the title

That etched 3 colour look to this very day remains the peak of modern aesthetic for me. Thought it was so cool and sophisticated when I was 12

I've read so much trump spam recently that on reading this my first thought was that you misspelled winning hehe

Planet announced last week there will be a 14 day delay on all commercial satellite imagery from the middle east. It shocks me how transparent we are about information war and voluntarily lying to ourselves at particular moments

This is far too simplistic, you can't discuss perf per watt unless you're talking about a job running at any decent level of utilisation. Numbers like that only matter for larger scale high utilisation services, meanwhile Intel boxes mastered the art of power efficient idle modes decades ago while almost any contemporary GPU still isn't even remotely close, and you can pick up 32 core boxes like that for pennies on the dollar.

Even if utilisation weren't a metric, "efficient" can be interpreted in so many ways as to be pointless to try and apply in the general case. I consider any model I can foist into a Lambda function "efficient" because of secondary concerns you simply cannot meaningfully address with GPU hardware at present (elasticity and manageability for example). That it burns more energy per unit output is almost meaningless to consider for any kind of workload where Lambda would be applicable.

It's the same for any edge-deployed software where "does it run on CPU?" translates to "does the general purpose user have a snowball's chance in hell of running it?", having to depend on 4GB of CUDA libraries to run a utility fundamentally changes the nature and applicability of any piece of software

A few years ago we had smaller cuts of Whisper running at something like 0.5x realtime on CPU, people struggled along anyway. Now we have Nvidia's speech model family comfortably exceeding 2x real time on older processors with far improved word error rate. Which would you prefer to deploy to an edge device? Which improves the total number of addressable users? Turns out we never needed GPUs for this problem in in the first place, the model architecture mattered all along, as did the question, "does it run on CPU?".

It's not even clear cut when discussing raw achievable performance. With a CPU-friendly speech model living in a Lambda, no GPU configuration will come close to the achievable peak throughput for the same level of investment. Got a year-long audio recording to process once a year? Slice it up and Lambda will happily chew through it at 500 or 1000x real time

CPU compute is infinity times less expensive and much easier to work with in general