jimsimmons

pretty common on twitter, esp these days where there is strong anglo-saxon white nationalism crowd

they do romanticize their ancient past as one of conquest and domination over others.

btw, even without the viking aspect, norse law was pretty strange in that it allowed murder for a fine. there is definitely a savage aspect to white tradition as there is to any modern culture, but there is a lot of whitewashing thats done to present anglo saxons as racially superior, highly civilized culture.

just bricked my display out after a nvidia driver upgrade attempt. the swapped ctrl and alt (to mimic mac) setting has been reversed.

horrendus ux

does not have paper ergonomics

  >  if Google and Meta got the best people, what the hell did they do in the last ten years? 

Invented the Transformer, Gemini, TPUs, monetized YT effectively, transitioned to mobile successfully, established GMaps as a foundation of internet etc.,

Google has a dozen services with > 1 billion users a month. Google in 2010 had only one

Honest person would have rejected it and protected the prize's honour

Also how can one totally anonymously pay them?

Does anyone have discreet pointers for downloading all the data? What format is it usually?

And how solving the trolley problem is the key to make it all work

"it is never too late to start a career in middle management" goes the old joke

I've been waiting since 2021 when I saw demos of GitHub copilot

This whole "I became 10x better" is vaporware.

It can kinda sorta maybe help sometimes a little bit is not vaporware

Yeah if you're getting paid $50K outside the bay maybe.

If you want big bucks you are writing original code, no two ways about it

I wrote a cycle detecting reference counting system and asked Sonnet 3.5 to fix it and it failed.

I hand held it, gave it tests, called out flaws in reasoning.. etc., and it still didn't fix.

The longer the chat the more likely it was Sonnet forgot a clarification I provided.

Overall huge waste of time, lost my train of thought and I was helping an LLM rubber duck and fail repeatedly

He worked there for a year. He had minimal impact. Probably not even among the top 50 impactful people in OpenAI history

[flagged]

That's just 125K users

Larry bought Android without telling Eric even though Eric was the CEO of Google at the time. He is a bean counter and the only form of accountability he knows is billable hours.

Is it non Riemann or non Eucliden

Is that "umm ackshually .." bit really worth doing here?

Open weights vs training code is not a distinction worth drawing for the average person

Advertising it as Writing a C Compiler is misleading. This is no where near C's speed. It's just an implementation of a C like language. And honestly there are better books or tutorials for something like that.

C's selling point is performance and portability and this book covers neither

I work in the field and the work is presented in an extremely obtuse manner.

What is the problem you're trying to solve? Are you proposing a new generative model?

Who 3

You can choose to not seed further or set your upload levels to zero

He broke into a network though

Why is everyone acting like this is some radio active data.

If you don't distribute further, it should be pretty ok to download and play with this?

Imagine dropping Forstall for Ive. Monumentally idiotic decision by Cook. Because if it iOS went from being the most evolved OS to lagging Android quickly.

It's interesting how any thread critical of OAI or Sam gets shot down from the front page very quickly but anything positive lingers on.

When Google Gemini threads are created on launch days they get merged very slowly and therefore community's upvotes get scattered.

Ofc it's hard to prove any of this. But it almost feels like there's an algorithm with a bias at play

Google did a much better job here and everyone glossed over

Experienced Rust users: how do you rate this? What level of proficiency would this leave you with

If OpenAI is so great and MSFT owns 49% of them why would MSFT need to do something like this?

Why not put all that compute towards fine tuning models on product specific data