monkeydust

3 ms·

1.
by monkeydust 5d ago
Bit of a Jev explosion going on. Is it because it's taking us back to a simpler time we understand better? Classification models have been around for a while.
2.
by monkeydust 7d ago
> Please note that although we will do our best to contact you and deliver your onions, no refunds are offered even in the case of a failed delivery. How many times have you failed delivery where you have been able to establish contact w
3.
by monkeydust 8d ago
Berkshire got it right a long time ago. https://www.berkshirehathaway.com/
4.
by monkeydust 9d ago
Was reading about Jev yesterday and playing with it this morning as I got access to the sandbox. Had thing niggling thought that I have seen something like this before - strucutured output! - googled "llm structured output and jev&quot
5.
Jev means structured output is interesting again(seangoedecke.com)
2 points by monkeydust 9d ago|1 comments
6.
by monkeydust 10d ago
Sam speaks at Salesforce. Salesforce goes down. No causation here...move on.
7.
by monkeydust 11d ago
Which is modeled in Unity which you can walk around in VR...for kicks maybe though could unlock something in the mind...spatial computing is an interesting field.
8.
by monkeydust 11d ago
Nice technique, learnt about here last month and have used a few times: https://laurentiugabriel.github.io/blog/articles/how-i-use-l...
9.
The powerful millionaires hiding in plain sight(npr.org)
8 points by monkeydust 12d ago|0 comments
10.
by monkeydust 16d ago
As an Econ graduate, pretty cool seeing Pareto in the "AI-bro" zeitgeist. Slightly surreal watching a 1906 welfare economics idea get rediscovered as a plotting convention. The original, if anyone fancies 579 pages of Italian: ht
11.
by monkeydust 17d ago
Try https://chatjimmy.ai/ from Taalas. There is an emergent space for super-fast-models esp finetuned or guardrailed to solve very specific latency sensitive tasks.
12.
by monkeydust 18d ago
Experimented with multi-llm analysis for problem solving over summer, combined with multi-agent approaches it can tease out interesting angles to problems that I never considered. Expensive but use only for my high value problems. https:&#
13.
by monkeydust 19d ago
Wait, do LG Webos TVs have microphones in the TV and/or in the remote? I am aware of the latter only.
14.
by monkeydust 22d ago
Good advice. Never underestimate the power of play, something I recently re-learnt after having kids.
15.
by monkeydust 22d ago
> That's what the AI's really are terrible at -- creativity Good thought piece here "We Are Losing the Ability to Discover What We Didn’t Know to Ask[1]" By Anne-Laure Le Cunff It keeps playing on my mind as I see pe
16.
by monkeydust 24d ago
I credit the C64 for setting down the computing path - fondly recall hours spent using BASIC and making my own games. Managed to stick with it when my mates were all getting Amigas but then finally convinced my parents to fork out (some ser
17.
by monkeydust 25d ago
> For robotics, reconstruction is only half the job: as a simulated robot moves through space, Atlas also generates the RGB and depth data its sensors would observe along the way. The world and the robot's view of it come from the
18.
by monkeydust 29d ago
There are certain types of communication where I do appreciate the time and effort that someone has gone into producing it. These are not typically 'status updates' but when we are exploring the surface of a problem or opportunity
19.
by monkeydust 29d ago
> Many people enjoy hand-crafted pizza, though, I suggest. Doesn't a machine making your dinner take away the human connection we might otherwise feel with food? " Not just pizza/food ...but this applies to emails and writ
20.
by monkeydust 1mo ago
Or just add the key commands as a hint to the simulation page. Was so keen to try it didnt really register the commands and assumed WASD.
21.
by monkeydust 1mo ago
I got this for my kids https://www.kickstarter.com/projects/doly/doly-more-than-a-r... earlier this year (after a much longer than expected wait on Kickstarter)...was good for a bit and had some fun but mostly gat
22.
by monkeydust 1mo ago
Probably a good index for predicting how midterms might go
23.
by monkeydust 1mo ago
Yea stresses the brain to much. I have built my own reader app, one of the simple things it does is very quickly convert article to highly readable font, with correct spacing on dark mode. Most things I read now are through that all, plus i
24.
by monkeydust 1mo ago
On business side orgs are now absorbing costs of tokens to their own local budgets...so the calculus soon will be:1 extra engineer or extra token spend for existing ones. Tbh, when the productivity payoff becomes more obvious I would happil
25.
by monkeydust 2mo ago
I use embeddings to create suggestions on what to read when it comes to blogs and articles. It semantically matches articles from sites I provide (like HN of course) against previous things I have read and a set of topics/themes I am i
26.
by monkeydust 2mo ago
> In their vision for the future, work goes from a messy experience of learning and exploring to something more akin to assembly-line production. I would argue this, the 'messy place' is where a huge amount of real innovation h
27.
by monkeydust 2mo ago
I do think that the value of these harnesses is inverse to the abilities of the frontier models - meaning - that as the models get smarter (by whatever benchmark you want to use) the harness matters less - it becomes more around context i.e
28.
by monkeydust 2mo ago
that cant be right if so they got an excellent deal ...$1BN cash (!)
29.
by monkeydust 2mo ago
So which shovels companies are the ones to watch for burnt in silicon models ?
30.
by monkeydust 2mo ago
https://archive.is/IAxf9

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