Right now, Qwen3 4B
I am reading this right now on my N100 desktop and it's 7W
I've seen two super nova in my life time. once in 2008 and another in 2012
using this same architecture, it would be cool to build a serverless-git
my story with them: Chase bank refused to cash their own Chase cashiers check. Seems crazy but I had to get a lawyer involved.
yes that's the whole point of arxiv to allow anyone to publish.
> Some interesting challenges: 1. There is a React parser that is used to parse, insert the style, and serialize it back to code 2. here's another approach I used with dynamic react…
I've had the same exact experiences.
this is so bizarre? I use GraphQL with Remix in my loader. It's a great combination. 7ms response from SQL. I can't understand the article. Sorry this person doesn't understand GraphQL nor Remix. might be AI generated
The graph code, when all done and said, is identical for all scenarios.
using LangGraph for a month, every single "graph" was the same single solution. The idea is cool, but it isn't solving the right problem.... (and the problem statement shouldn't be generating buzz on twitter. sorry to…
I just finished implementing S3 file upload in nextjs to cloudflare R2 with a supabase backend. Wish I had been lazy and waited a day!
These have to be spy satellites. GPS is just a timing signal, in space. Technology we had 40 years ago. There is no way you need $100M to build this and have special government authorization to collect the debris.
don't forget the timeout reconnect!
This story is heavily censored on hacker news https://github.com/vitoplantamura/HackerNewsRemovals?tab=rea... (scroll down to bottom) 39465301 #25 3 points 0 comments -> Google Gemini leaked its woke prompt injection…
stuff like this makes me want to experiment with going back to just one huge $100k server and running it all on one box in a server rack.
OpenAI has broken every promise it has made
sorry I meant to say or explain computational graph, and yes langgraph was reintroduced recently last week.
I think they did several stock splits, and this time period was one of them
you cannot currently run mixtral with a 32k context on a 3090. Unless am I wrong? I think the largest context I was able to reproduce was around 1500 with 2 or 3 bit, I would have to look at my notes.
the management talent is preventing it
I'm so glad we're seeing memory specs next to the core count, awesome.
I solved this problem locally. When uploading a file to the server before going to S3 it is cached in redis. Whenever the codebase needs to use the file, it checks redis, and if it is not there it fetches it and caches…
I just bought a 10th gen i5 laptop with 16gb of ram for $60 off of ebay. HP c640 chromebook. Fast enough to run a 7B LLM at 1-2 tokens/sec
Tesla should make a fleet version that's easy to repair, and jump into the market place or help Hertz get back on its feet.
Right now, Qwen3 4B
I am reading this right now on my N100 desktop and it's 7W
I've seen two super nova in my life time. once in 2008 and another in 2012
using this same architecture, it would be cool to build a serverless-git
my story with them: Chase bank refused to cash their own Chase cashiers check. Seems crazy but I had to get a lawyer involved.
yes that's the whole point of arxiv to allow anyone to publish.
> Some interesting challenges: 1. There is a React parser that is used to parse, insert the style, and serialize it back to code 2. here's another approach I used with dynamic react…
I've had the same exact experiences.
this is so bizarre? I use GraphQL with Remix in my loader. It's a great combination. 7ms response from SQL. I can't understand the article. Sorry this person doesn't understand GraphQL nor Remix. might be AI generated
The graph code, when all done and said, is identical for all scenarios.
using LangGraph for a month, every single "graph" was the same single solution. The idea is cool, but it isn't solving the right problem.... (and the problem statement shouldn't be generating buzz on twitter. sorry to…
I just finished implementing S3 file upload in nextjs to cloudflare R2 with a supabase backend. Wish I had been lazy and waited a day!
These have to be spy satellites. GPS is just a timing signal, in space. Technology we had 40 years ago. There is no way you need $100M to build this and have special government authorization to collect the debris.
don't forget the timeout reconnect!
This story is heavily censored on hacker news https://github.com/vitoplantamura/HackerNewsRemovals?tab=rea... (scroll down to bottom) 39465301 #25 3 points 0 comments -> Google Gemini leaked its woke prompt injection…
stuff like this makes me want to experiment with going back to just one huge $100k server and running it all on one box in a server rack.
OpenAI has broken every promise it has made
sorry I meant to say or explain computational graph, and yes langgraph was reintroduced recently last week.
I think they did several stock splits, and this time period was one of them
you cannot currently run mixtral with a 32k context on a 3090. Unless am I wrong? I think the largest context I was able to reproduce was around 1500 with 2 or 3 bit, I would have to look at my notes.
the management talent is preventing it
I'm so glad we're seeing memory specs next to the core count, awesome.
I solved this problem locally. When uploading a file to the server before going to S3 it is cached in redis. Whenever the codebase needs to use the file, it checks redis, and if it is not there it fetches it and caches…
I just bought a 10th gen i5 laptop with 16gb of ram for $60 off of ebay. HP c640 chromebook. Fast enough to run a 7B LLM at 1-2 tokens/sec
Tesla should make a fleet version that's easy to repair, and jump into the market place or help Hertz get back on its feet.