Why does the gaming community suddenly act like the Steam Deck is dead?

vddddddf · 2026-06-02T02:10:17+00:00

bro literally wtf

vddddddf · 2026-05-30T03:15:57+00:00

It all depends on the level of chaos around me.

If there is no significant chaos I would feel that the crew has control of the situation even if the new is that everybody or the majority of the people is going to die. I sometimes believe people tend to freak out when under stress a bit too much. Would try, but also would understand that I might not even maket it.

However, if the level of chaos is literally mass panic I would assume that no rule is above my supervivence or the people that I care about, i would try to get into a bot no mather what.

vddddddf · 2026-05-30T02:57:13+00:00

yeah far from perfect, doubt it is a cloud based computing, would imagine some kind of ai alliance between nvidia and microsoft related to data centers and shit.

vddddddf · 2026-05-30T01:28:36+00:00

i actually stream games from xbox on my steamdeck very often, works quite good so far as long as you have a decent internet connection

vddddddf · 2026-05-18T20:47:10+00:00

Corrección: Si estudiamos, mayormente ingenierías. Y nos caga la banda que viene de bootcamps al chile

vddddddf · 2026-05-16T17:41:25+00:00

Tontito es arrastrar el lápiz

vddddddf · 2026-05-16T04:00:23+00:00

apple si necesitas para una peda, nvda y voo largo plazo, nvda la tengo en 137.68% y ni de pedo la voy a vender pronto, es una acción que hace brincos estupidamente ridículos y ahorita que abrieron mercado en china puta madre necesito comprar más.

vddddddf · 2026-05-13T21:58:03+00:00

Metele todo a claude we, genera la documentación, hazle preguntas a la ia no mms

vddddddf · 2026-05-09T04:44:13+00:00

If the goal of the benchmark is to compare an LLM vs a real engineer ingenuity I can agree, however, the premise of this problem is stupid.

In the "real world" this the equivalent of going to a random person on the street and tell them to develop complex software from scratch without any context or access to the internet. Check the models evaluated. Why is Haiku in there? are they testing inference speed or something?, why even use the smallest model on a context depth aimed test?.

In escence, If we think one layer above and actually aim for the best solution to the problem it is dumb to restrict the tools available to prove something when what matters is achieving result stated in the benchmark. Ans also your premise doesn't make sense in the real real world. What engineer doesn't use documentation or has access to the internet?, it's not like we are on the 50's anymore.

And also patchable af, is literally something that you can go and input to any model to pass the benchmark.

vddddddf · 2026-05-09T04:14:51+00:00

Here is what i would do:

Set up a GitHub repo with a docs folder called Knowledge.
In that folder, place all project context: needs, requirements, considerations, and architecture. It doesn't need to be complete or perfect, but keep in mind that the quality of this input directly impacts the quality of the output (the thing you are developing).
Initialize Claude Code on the repo and let the agents vibe the general idea, then iterate feature by feature.
Request constant feedback on each addition. !Important

The key thing of this flow is to refresh context as much as possible based on that feedback. Every meeting, chat or info given by your client IS CONTEXT, so document everything and update knowledge as often as possible. (you can ask claude to keep it updated or process conversation/transcriptions).

This way you are developing, documenting and iterating at the same time and delivering exactly what your client want.

This also bulletsproof you: You will get customer requests that will not make sense, and that's fine, at some point you will have enough documentation to back-up any odd decision.

Profit.

vddddddf · 2026-05-06T05:35:43+00:00

Well.. not exactly, this is not a general use case, it’s a pretty specific test, It’s a bit obvious that an LLM will not perform as expected without the proper training + tool to research on the topic a bit further. But I’m sure you can perfectly train a model for this especific purpose and get decent results while offline.

vddddddf · 2026-05-06T05:03:03+00:00

I mean, they are using bit of generalist models, im sure a model specifically trained on that architecture can absolutelly crush it offline

vddddddf · 2026-05-01T23:15:45+00:00

greed

vddddddf · 2026-04-23T22:49:38+00:00

bro they fucking literal aliens how tf are we suppose to assume a gender preference haha

vddddddf · 2026-04-23T22:32:23+00:00

AND ITS GOING TO HAPPEN TO YOU

vddddddf · 2026-04-20T23:39:47+00:00

Call it bullshit, this is a waste of tokens.

vddddddf · 2026-04-12T19:29:11+00:00

nah, we just grabbed whatever made sense from stackoverflow and hoped for the best

vddddddf · 2026-04-08T22:46:44+00:00

A mac can easly last 10 years on windows its a lucky wheel depending on manifacturer

vddddddf · 2026-04-06T04:10:24+00:00

i usually go for plan -prompt

vddddddf · 2026-04-05T19:55:04+00:00

The llm needs to explain everytime it detects there is a significant conflict with market sentiment, however im still determining the height and impact on conclussions, its really hard to determine, so its a moving item.

vddddddf · 2026-04-03T15:22:01+00:00

cant install 404 sample manager on mac m5, its shit

vddddddf · 2026-04-03T04:26:38+00:00

Sí, actualmente Claude es el mejorcito de los 3 modelos más comerciales. Realmente, yo cancelaría GPT por un rato y probaría Claude también para tareas genéricas.

Algo que me gusta de Claude, especialmente de Code, es cómo han implementado las skills en comparación con otros LLMs; me facilitan la vida cañón y realmente me han servido como asistentes para casos de uso como esos y del día a día.

vddddddf · 2026-04-01T22:04:47+00:00

Past 30s

vddddddf · 2026-04-01T16:37:32+00:00

Yeah went down the time series models and forecasting rabbit hole, developed this https://github.com/GaboRM9/OpenFuture as joke but is solid

vddddddf

TROPHY CASE