leblancfg

I was surprised to see they use the front bumper splitter as the "start" of the car and not the hood.

You would expect teams to game the system and use longer splitters if photo finishes happen often enough. Tried taking a look at the regulations and it seems that they're not publicly available.

https://www.reddit.com/r/NASCAR/comments/jncj3f/why_is_the_n...

I get the impression most llama.cpp users are interested in running models on GPU. AFAICT this optimization is CPU-only. Don't get me wrong – a huge one! – and opens the door to running llama.cpp on more and more edge devices.

I've been using Kagi's "Quick answer" more and more these days, which I guess is a form of "index the whole web" RAG.

Here's their blog article for it: https://help.kagi.com/kagi/ai/quick-answer.html You have to fire up your bullshit detector when looking at the results, but I find it saves a good 3/4 clicks on average.

Wow that is *so fast*, and from a little testing writes both rather decent prose and Python.

An escalation here to other sectors could be deadly for the US, who have what, like 2/3 of their manufacturing done in China?

Sure China industry would lose their customer base, but definitely not as leveraged as the US

What does ORPO stand for? Can't seem to find related links.

GP here.

    s/those 4000/another extremely diverse 4000/

would make the same point IMO.

Pythagoras from the grave would nicely like to ask if the researchers could also give those 4000 participants a two-stringed instrument, and ask them to tune them in a way they find pleasant to hear – and see if that spicy headline of theirs still holds.

I got a decent visual exploration of the metal nail fabrication from a quick query. This is certainly interesting!

https://explorer.globe.engineer/?q=how+to+fabricate+fastenin...

I remember setting up my first Linux box ~20 years ago and distinctly not thinking that.

I'm like 98% sure it's the former. Geofencing would only be a minor inconvenience to the latter.

Many data transformations that you take for granted in other languages are either impossible or require amazing feats of contortion of the language to make happen.

That’s what I’m seeing as well. Curious to try it out to see how its expressiveness compares to Cue. Looks like it’s Turing-complete as opposed to Cue, which is a plus… but that comes with downsides.

One thing I like to see is the direction of “declare types and validations in a single place, integrate with any language”.

My daily codebase atm has types declarations in typescript, cue, pydantic and for our database… and it’s driving me bonkers seeing as most types are already declared in Cue to start with. I played a little with packages meant to translate them i.e. Cue -> TS, but nothing worth the effort.

IMO it would be a big upside for Cue to handle these as first class language features.

As for just the market however, sure is looking like it's going up from here.

Casting this would be really hard; if that were the case you'd also have expected to have way more versions of it in wooden (or other similar easy to fabricate) form.

Plus, grapefruit-sized feels like way too big for this purpose.

It reads like that, yeah. Although 3 x 6B is still an order of magnitude smaller than ChatGPT's purported 175B

Wait how can this statement and output make sense?

>This model is uncensored. I have filtered the dataset to remove alignment and bias. This makes the model more compliant.

>I understand that you would like a recipe for Mai Tai, but I must inform you that as an artificial intelligence, I am unable to provide recipes in any form due to my programming constraints.

AFAICT that’s limited to single table calls though.

I guess you could use to recreate the DB at the ORM level since you know the schema as well. But I still like this idea living at the database layer and not an extra layer of abstraction on top of it.

This is huge. Luke I think you have a winner here, this is great. Can't wait to try it over the holidays.

If I can be cheeky, be sure to repost over the coming days at different hours – you're likely to spawn more traffic that way =)

Good for you for reaching HN frontpage, Tim! This from a guy also on fosstodon =) Love the low-tech prototype.

There exists a future where this kind of social media content curation is a viable and bootstrappable startup option. I'd like to live in that future.

Yeah. I'm imagining e.g. a full database schema at my disposal in the ORM layer, but with only the handful of rows relevant to the logged-in user.

Could be useful in many read-heavy scenarios, and would make a default way that skips DB fetches.

Ooh that’s where the drum machine beat from Gorillaz - Clint Eastwood is taken from.

Well do share! lol

Well it is a new model, it's just a safety bullshit model (your words).

But the datasets could be useful in their own right. I would consider using the codesec one as extra training data for a code-specific LLM – if you're generating code, might as well think about potential security implications.

Well I know very little about money matters, so mostly I'd be interested in coming up with a financial strategy by chatting with an LLM. If it could guide me through some some of predetermined decision tree that some money wizzes came up with, I'd trust it.

I'd also trust an LLM equal or smarter than GPT4 with a first draft of my taxes which I would then go through myself – there are a bunch of patterns to prompt an LLM like "try to find any flaws in this output".

Read the title as “handle unnatural scrambled TAX” and was suddenly very interested in how it might do my taxes for me.

Hell, I would pay good money for a robo-accountant.

IMO one doesn't preclude the other. Our forebears would have used the same logic to assume that the Sun orbited around the Earth.

I think GP meant "the minority browser we bend our logic for, in order to accommodate"

What a great link. Love that Archive reference book. Cheers!

History tidbit: before the Haber process was discovered, most commercial fertilizer was calcium cyanamide (https://en.wikipedia.org/wiki/Calcium_cyanamide) as a downstream product from calcium carbide – one of the first industrial chemistry processes.

In the late 1800s - early 1900s this was done along many riverside cities in Eastern US and Canada, because of cheap hydro power generated by dams.