Gamer, rider, dev. Interested in anything AI.
Dirt bikes get WD40 on the chain every ride. Just keeps the water off.
I’m not sure either, Win 10/11 are pretty quick to get going and Ubuntu is not much longer than that. If I have to hard reset the mbp for work, it’s a nice block of slacker time :)
For the really old stuff, I used to do NetBSD. I’m sure their 32bit x86 support is still top notch.
Halls of Torment. $5 game on steam that is like a Vampire Survivors clone, but with more rpg elements to it.
It’s not usually enough power to make a big difference, and it can raise the noise level to a point where you might not like how it sounds on longer rides. Some can provide weight reduction, but again not a lot.
Take it through some gravel right away to scrub that release agent off.
Exhaust pipe is just a consumable
Did they balance the wheel when they put the new tires on? Should be really obvious without a passenger though.
lol same. Nightmare scenario for off-road riders is just sending it into a pond with some throttle oopsie.
How does this compare to the SV650? I loved that thing when I did a demo ride on it.
Could be a bug in the ECU where it’s not reading something properly. Or it’s valve lash, but 5 min isn’t enough time for them to cool down to make it easier to start.
Why did the previous owner sell? Such a nice bike.
I don’t think the MT-09 needed premium either. Should be fine.
It’s a great series, highly recommend.
Check CL or FB marketplace to see what the prices are in the area, and make the offer based on what other bikes are selling for. I’m worried here that he’s just asking for the payout on his bike and that’s not your problem.
These are amazing. Dell, Lenovo and I think HP made these tiny things and they were so much easier to get than Pi’s during the shortage. Plus they’re incredibly fast in comparison.
I’ve got a background in deep learning and I still struggle to understand the attention mechanism. I know it’s a key/value store but I’m not sure what it’s doing to the tensor when it passes through different layers.
Subscribed. That last episode of AAA was heartbreaking.
My neighbour has that same beta, he loves it.
The advancements in this space have moved so fast, it’s hard to extract a predictive model on where we’ll end up and how fast it’ll get there.
Meta releasing LLaMA produced a ton of innovation from open source that showed you could run models that were nearly the same level as ChatGPT with less parameters, on smaller and smaller hardware. At the same time, almost every large company you can think of has prioritized integrating generative AI as a high strategic priority with blank cheque budgets. Whole industries (also deeply funded) are popping up around solving the context window memory deficiencies, prompt stuffing for better steerability, better summarization and embedding of your personal or corporate data.
We’re going to see LLM tech everywhere in everything, even if it makes no sense and becomes annoying. After a few years, maybe it’ll seem normal to have a conversation with your shoes?