421–430 of 1001 posts
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Looks like I'll be sporting my 5800X3D + DDR4 + 9070 XT gaming box for a little while. Too bad the CPU's ST is slower than my MB Air m4.
Welcome to the club. If you're _really_ competitive in cs2, I'd swap out to a 9800x3d setup, but it's still a maybe. Very little reason to upgrade right now other than to run LLMs.
"M6 features a powerful, larger 12-core GPU that provides higher geometry rates and updated Dynamic Caching to deliver stunning visuals and fluid frame rates in demanding games like Mixtape." Why choose the worst game of the year? Just because it's made by the daughter of Larry Ellison?
That's pretty embarrassing. It's such a poor representation of gaming. I'm surprised anyone is still talking about it.
Earlier quoted context omitted.
If I can get Sol level capabilities on a $20k machine, then it is well worth it for my employer to buy me that machine for work as a workstation. When you start paying in tokens vs subscription costs due to enterprise agreements, you really start to see how much cash utilizing frontier models at the frontier costs (and I'm efficiently using luna and other models where possible!)
I don't think this is accurate. Even using multiple windows in parallel for as many as 5-10 hours per day, I find that I am not fully using my claude max (20x) and chatgpt pro (20x) accounts. I can for sure use up the claude max account, but chatgpt either gives me a free reset before I run out of tokens or I just fail to use the full quota. The quota for Sol seems like 10x that of Claude Opus at the same level, and…
I have agents running 24/7 doing research, in fact I would argue this how they will be used for most programming tasks in the near future. For chatting, I agree local inference makes no sense. But for tasks that run continually, I'm not so sure. Personal computers took a while, local inference will too, but I think it will happen.
Even w/the pricing spike, inflation adjusted we are back to roughly the prices of a new Mac SE/30 for something that can beat a turing test w/o sweating. I yield the floor to no one when it comes to pessimism, but that's incredible.
Ok I'll be that guy. It's pretty easy to figure out if you're talking to an LLM now we know it's tics, failure modes, jailbreak techniques etc
The 512GB Ultra is amazing, sure. But who is it for exactly? VC funded big spender founders? In that case why would they need local AI? The ultra rich enthusiast? But there can't be too many of those. So who actually buys these?
Apple Studio with maxed out M5 Ultra, 256GB RAM and 16TB storage is 18,299$. The 512GB RAM version apparently is coming in October, considering that the difference between 96GB and 256GB is priced at 4000$, the 512GB upgrade must be eye watering. So, on the mini the RAM upgrade runs at 25$ per GB on all tiers, the same as the Studio therefore the upgrade to 512 will probably cost 6400$. The fully maxed out Apple Stud…
16GB $239 - $15/GB
32GB $800 - $25/GB
64GB $1,600 - $25/GBEarlier quoted context omitted.
To be fair, the Zune actually was a better media player than the ipod in almost every way. That wasn't a false statement. The issue was the abysmal marketing and "me too" attitude Microsoft had (and still has).
The Zune failed vs the iPod because of marketing? Okay.
"M6 features a powerful, larger 12-core GPU that provides higher geometry rates and updated Dynamic Caching to deliver stunning visuals and fluid frame rates in demanding games like Mixtape." Why choose the worst game of the year? Just because it's made by the daughter of Larry Ellison?
That's pretty embarrassing. It's such a poor representation of gaming. I'm surprised anyone is still talking about it.
Damn. I just bought a maxed out MacBook Pro M5 Max 128GB 8TB, still waiting for it to be delivered. I could get 256GB RAM M5 Ultra 1TB for roughly the same price, and it's double the memory bandwidth. Which one would you recommend? I do plan to run local LLMs.
That being said: you might want to consider at least 2TB storage. Having 256GB RAM to fit models is less useful when you can only store a 3 or 4 large models on your disk. The M4 -> M5 transition doubled the drive bandwidth (at least for the MacBook Pro, I'd assume the Studio is no different) making them extra nice for loading large models. Then again, you can always add an external NVMe drive over thunderbolt, so the tradeoff is less straightforward than with a portable MBP.