brulard

You think other mathematicians are currently working on very little subset of relatively low-hanging fruit problems?

Did I? Not only are you comparing apples to oranges, you even provide misleading numbers.

3090 gets 20-30 tokens a second for dense ~30B models (QwQ 32B, Gemma 3 27B Q4), similar to M3 ultra. If you are talking about Qwen3-Coder 30B (MoE), then both 3090 and M3 Ultra are around ~70 tok/s.

But even if you were right about the speed - which you are not - speed is pointless if you need large model that wouldn't fit into your VRAM.

Are you aware that your 3090s have nowhere close to 256GB of VRAM? Or maybe you are not aware that on macs you have unified memory (working both as RAM and VRAM).

I like Gemini CLI and I got a lot of value from their free tier, and I'm now on the $20 sub. But it is a level bellow the usefulness of Claude Opus 4.6.

What if I didn't know the words yet? Usage of totally unintuitive icons is obviously wrong. Colors can be helpful too. Colored text - not as concise as recognizable icons.

Another non-negligible advantage of icon is, that it is language agnostic. Not everyone is fluent in language they have to use.

I disagree completely. I have hard times parsing the text. Simple icons are a life saver for me in big data tables

There could be factories manufacturing your own design, just one piece. It won't be economical, but can be done. But parts are still the same - chunks and boards of wood joined together by the same few methods. Maybe some other materials thrown into the mix. With software it is similar: Different products use (mostly) the same building blocks, functions, libraries, drivers, frameworks, design patterns, ux patterns.

That is not a technical constraint and may be automated if it made sense financially. Same with software - for some time software won't be all designed, coded, tested, deployed to production without human supervision or approval. But the pieces in between are more and more filled by AI, as are the logistics of designing, manufacturing and distributing sofas.

I turned on this overspend and limited the spending to $20. A day later I checked my spending, I had used "295%" of my limit. Almost $60. No idea why it didn't respect my setting.

pro is the $20, right? It runs out quickly, especially using opus. But what do you expect for that kind of money? For serious work at least Max $100 is needed.

As an ADHD person, the landing page is absolutely anti-ADHD - a lot of stuff with basically no info about what it really does. It should have been all concise and tangible information, simple example, demo. Instead just a lot of marketing fluff. I spent all the focus budget there and I have no idea what it does.

I disagree with the vibecoding take. Its a new skill that absolutely has a place in developers skillset and it may be of great importance for some kinds of projects. You can learn so much by vibecoding little projects that otherwise would never see the light of day.

not sure what i'm looking at here...

How about the rest of the resources? CPU/GPU? Would your work not be affected by inference running?