adonese

There's also social stigma, from where I came from at least. From where I came from, in high school there are three paths to college: Science (engineering, medical, and all in between), literature (philosophy, languages, arts, and so) and trade/ vocational education. For many at least for me (millenial) it was not an option to even think about arts and vocational education at all, that would be failure in life.

It would take a bit of time for similar societies to adjust to the new realities.

Very risky to do so especially considering how well is opus 5.5.

I don't know what they did but opus is really good while Astra/Sol are comparably bad. For my own tests and taste this might be the first time (fable perhaps excluded) where claude models are better than openai, since codex 5.3.

what i found to work well with me is Fable for design / ideas and Sol for implementation. Codex models just tend to be more attentive and follow through instructions. Whereby claude models are weaker on this area (they tend to cut corners).

I think that was the motivation to make Mojo a superset of python.

I'm curious to know the hype behind the hiring for Karpathy and Noam. In the sense that did oai and anthropic do that for sort of long term and potential new directions (investing in them so they come up with the new transformer). Because it definitely cannot be just a regular filling vacant roles.

Because I think as far as running the existing models and handling whatever nuances, it must be well understood by oai and ANT -- but you don't what you don't know.

I'm not sure whether Elon's interests are in the model. Maybe the existing distribution channel which is cursor's users? The whole ai business models seems tough to comprehend. Huge amounts being passed from one player to the other.

I find this to put my psql in a better place as a daily driver. Adding this to ~/.inputrc [1] will allow you to limit search on your entered text. Eg.

select (up arrow)

will loop through your psql history for commands that started with e.g., . The challenging part is in wide tables and or table with large data. Less is awkward usually so using pspg made it less awkward.

I tried also to with help of ai, to write a plugin for sublime that fits my flow. It worked well but I think I'm more used to psql.

[1]

~/.inputrc

$if psql "\e[A": history-search-backward "\e[B": history-search-forward $endif

edit: formatting

in my region (middle east) facebook marketplace is the defacto listing. I know craiglist (just from me being on internet for so long) but i don't think it operates here. And for sellers they also only know facebook.

Thanks a lot!

Sorry to ask this, but are there any discord links you can share?

The gemini/ai part aside, but I really like this revival of passion for PCs and Laptops. Totally anecdotal here and I could have definitely spend couple of minutes to research the marketing numbers, but I cannot help but feel happy with Framework, Panther Lake and Dell XPS and of course the mini Mac and Macbook family. I feel like there were years when center of attention had turned to mobile/ipads (and consoles) which were severly locked down to the point of no use point their intended creators purpose. I felt bad my siblings never get hooked into my old PC, as they went from PS3 to phones.

what is happening to crypto that is causing this? I was thinking with the recent conflicts crypto would thrive, if anything.

Is there any place I can read about KV? Excuse my ignorance as I'm not familiar with this topic and I read scattered notes that deepseek's cost are well optimized due to how their kv cache work. But I want to read more how kv cache relates to the inference stack and where does it actually sit.

> AIUI, people are even experimenting with offloading the KV cache itself to storage, which may unlock this batching capability even beyond physical RAM limits as contexts grow.

Especially this point. Any reason that this idea was considered bad? Is it due to the speed difference between the GPU VRAM to the RAM?

I tried it on a non trivial, but also well documented and self contained task. It did amazingly well. I used deepseek v4 pro via deepseek platform. The model is very fast and also it is super cheap. I burned only 0.06 USD (I reckon how the same task would have cost me had I used e.g., amp).

PS. mentioning amp because i used to use it and I pay directly for token. I topped up 5 usd so I will be going to use it and see how far can it take me. But my impression so far is even when model subsidization is done, those open source models are quite viable alternatives.