What makes you think the unaccelerated path would use the accelerated iGPU path? Typically hardware decoding is disabled because of driver/reliability issues and thus would switch to software decoding to sidestep these concerns.
It's not created out of no where. It's traders saying that the stock is over priced and putting their money where their mouth is and taking on a big risk if they're wrong. They're extracting this money from folks that are putting upwards pressure on the stock saying it should be worth more. They're helping price the stock more efficiency and reducing index trader's expose to an overpriced stock e.g. retirement funds.
I'm curious how many unsolved problems are tried against frontier models when they come out. Are we trying every problems against every release? What is the solve success rate? Is there a sub-community within Mathematics that is coordinating this effort? How much untapped opportunity is there here?
> As the person holding the money, it's my job to look at what is effective and what the active ingredients are in any given product.
But I don't have time to do that. I would rather have a retailer do that curation for me and provide me with effective high value products, and stand behind returns when they miss the mark. Then as a customer I can reward them for that value added work.
That's why Costco is great most of the time. Although they sometimes miss the mark with certain products they stock.
I don't recognized the CPU/GPU and PC building isn't my field so I could way off. But here's my honest attempt at it without paying a premium for the form factor which isn't an important feature for me:
You're missing the point. There was a lot of debate around if inference was subsidized or not. And that's a huge point to confirm in the public discourse.
Similarly my friend swaps electric cars every couple of years (Volt -> Bolt -> Equinox) bragging about all the discounts and subsidies he's gotten. Maybe it's still beneficial through the used car market but it doesn't feel like an effective subsidy for the government to be handing out.
Hard to know when they don't give the price per token. Presumably it will be comparable to a low-mid range model in terms of price. But otherwise their 'Ideal Zone' is meaningless without factoring in the price per token. I don't how much tokens are being used, that's an implementation detail to me. I care about price / performance / latency.
Which ones? Mortgage, real estate costs, repairs, maintenance are all still there with a condo.
My gut feeling is that repairs and maintenance cost more with condos than if you own a home and you're handy to fix minor stuff and know how to find good contractors for bigger jobs. I imagine condo jobs becomes more difficult and contractors charge more for those jobs. But I don't have data to back my hunch. Condo has extra issues in dealing with neighbor problems (issues with garbage, pets, unpaid fees, noise, etc...) and you have to maintain shared spaces (hallways, elevators, etc...) and you end up paying for that via your condo fees.
Last week I got together with my math alumni friend. We cracked some beers, we chatted with voice mode ChatGPT and toyed around with Collatz Conjecture and we sent some prompt to a coding agent to build visualizations and simulation. It was a lot of fun directing these agents while we bounced off ideas and the models could explore them.
I think with the right problem and the right agentic loop it’s clear to me improvements will speed up.
I've been using Codex to build a repo that pulls down astronomical datasets and runs simulation to try to find explanation for the hubble tension. Having an agent to do the tedious bits and also having an LLM to bounce ideas has tough me so much about astronomy. I don't have serious hopes of finding anything new and novel but it's still a lot of fun.
I’ve noticed that LLMs can effortlessly read minified JS. How does it do with obfuscated binary code? I wonder if the days of obfuscation are numbered when the tedious job of de-obfuscation can be automated.
I get all my groceries deliver to my doorstep via Walmart delivery pass. The thing I'm really missing is having AI curate meal planning to my family's preferences. I already feed ChatGPT my family' preferences (e.g. Kid A doesn't eat X Y Z and liked meal A B C, kid B likes ...) and ChatGPT is helping me build meal plans. With my preferences we can quickly nail down a meal plan for the week.
The slowest part of my meal planning is going through Walmart's slow site where each page load is 2-3 seconds and it takes several page load per item. Once it can translate my meal plan into a grocery checkout from Walmart I'm all set.
I'd love to see the results of that. I think calling a single prompt iteration lifeless misses the point. It's like looking at a game that has had a few hours of development and saying it's bad. Games need iterations. Seeing your results as the first iteration is impressive. I can see follow-up prompts and custom tweaking get really good results!
Last summer I built a factorio-like automation game with older models and over time the game really started to take life.
It's very useful to understand what you're struggling from even if it's not curable. It explains your symptoms, your experience and help you understand what you're going through. Understanding that you're suffering from something incurable is also helpful in not looking for other ineffective methods to cure a mysterious illness.
> SpaceX has deorbiting assets on top of depreciating ones
The deorbiting part is redundant. Their satellite are just that, a depreciating asset. Their lifetime seem to be 5 to 7 years. The important claim is if the total cost, including the launch, can be recuperate over that lifetime or not.