Guarantee there are dozens if not more in the admin insider trading like they have on so many announcements. Market manipulation right out in the open.
The slimiest swampiest criminals, they need to be put on trial.
A transformer-based (but not LLM) chess model that plays like a human.
The site right now is very rudimentary - no saving games, reviewing games, etc., just playing.
It uses three models:
* A move model for what move to make
* A clock model for how long to 'think' (inference takes milliseconds, the thinking time is just emulated based on the output of the clock model)
* A winner model that predicts the likelihood of each game outcome (white win / black win / draw). If you've seen eval bars when watching chess games online, this isn't quite the same. It's a percentage based outcome, rather than number of centipawns advantage that the usual eval bars use.
Right now it has a model trained on 1700-1800 rating level games from Lichess. You can turn it up and down past that, but I'm working on training models on a wide variety of other rating ranges.
If you're really into computer chess, this is similar to MAIA, but with some extra models and very slightly higher move prediction accuracy compared to the published results of the MAIA-2 paper
I agree with this, but for those newbies be careful at what you define as "failure".
I've f.up my MCL by not listening to my body and I have the stability of a typical 85 year old while I try and 'heal'. It takes longer as you get older (you're probably not 20 year old) and stupid stuff can really take you out.
When training for muscle size atleast, but not strength. Presumably there are increased injury risks overall when lifting heavy (based on a brief search).
fairly new to lifting myself (2+ years taking it seriously) but this thing seems to jive with what I've read across different areas
bodybuilders can build muscle size with high reps and lower weight or lower reps and high weight as long as they do it close to failure with only a few reps in reserve (rir)
powerlifters, or those focusing on strength, usually go for high weight and lower reps because they might be training for a competition that focuses on 1 rep max and/or the body can really only handle so many reps when pushing it at 80-90% of 1 rep max
neither is inherently better but a matter of what goals you have in mind, plus, hypertrophy contributes to overall strength, too
"We believe that continuous exposure to transportation support systems like cars may lead to the natural human tendency to over-rely on their engines, leading to travelers becoming less motivated, less focused, and less responsible when riding horses."
Great argument, yes let's by all means march towards a future of as much dependence on AI as we have on cars, while general thinking and creativity decline as did horsemanship. A+ analogy.
to be fair people do move their bodies a lot less if they can just sit in a car and get there for a lot less effort. most of the Western world is struggling with obesity to an extent.
Kbit | Data Visualization Engineer + 2 other roles | Full time | 100% Remote, Hybrid available in certain locations if you prefer
Strong base salary plus quarterly cash bonuses depending on firm performance.
We're a digital asset hedge fund with a 7-year track record of delivering outstanding returns for our investors.
We're hiring a data visualization engineer to build C++ / Python / Qt applications for internal use by our researchers. Previous experience in real-time visualization of large data sets a plus. If you know what a DOM ladder is, that's a huge plus.
A Twitter filter to take back control of your social media feed from recommendation engines. Put in natural language instructions like "Only show tweets about machine learning, artificial intelligence, and large language models. Hide everything else" and it will filter out all the tweets that you tell it to.
Runs on a local LLM, because even using GPT3 costs would have added up quickly.
Currently requires CUDA and uses a 10.7B model but if anyone wants to try a smaller one and report results let me know on github and I can give some help.
The best course by NVidia looks like "Fundamentals of Accelerated Computing with CUDA C/C++" which I think used to be publicly available, but is now offered "By invitation only"
It appears as though that course has been replaced with "Getting Started with Accelerated Computing in CUDA C/C++" which is $90 as a self-paced online class with a certificate at the end.
The course you are referring to is instructor-led and costs $10,000 to have them set up, for up to 20 people.
> Do you really think it's fine blowing 400 watts because you can't be arsed to think or do not have the creative intelligence to get over the blank page syndrome and have to lean on a crutch?
This seems pretty interesting, do you have links that provide more details on this? Is it all functionality that's available by default on pihole or did you use some mods/custom blocklists/etc?
It's stock pihole functionality, just the basic groups management feature and default blocklist. Using the stock pihole docker container. There are some helpful blog posts [1, 2] in the top google search results for this setup but honestly very easy setup. I like simple setups.
I should add that what makes it work so nicely with pihole is you can use regular expressions for the DNS allow/block lists. So the kids group has a deny rule of `.*` and those few explicit allowed sites I mentioned.
Want to bet? Literally, I mean. I'll bet you $100 that they will not hire all Rocky contributors in under 3 years and turn it into a rolling distribution.
