TechnicolorByte

How’s that 2016 promise of LA to NYC autonomous driving goal going for Musk? Or his Cybercab venture going? And the decision to not use LIDAR in his vehicles? Or the Cybertruck’s dismal engineering and sales?

Can you expand on what types of uncomfortableness you faced and what you mean by effort (to the point of bewildering people)? Curious what worked for you. Not sure if you just mean you forced yourself to go on a million dates and were super selective.

Can anyone recommend a technical overview describing the design decisions PyTorch made that led it to win out?

Embarrassing comment. This current administration and its supporters most definitely does not agree on several of your points, in particular on sustainable sources of energy and regulations on pollution.

Plenty of them here before the election. Wish they’d speak up more now and explain how any of these policies are objectively good for the US economy and US citizens.

Reopen mental institutions and enable forced is institutionalization. Engage this at the federal level. So sick of this crap.

These “homeless” are not the kind who need clean clothes and shelter and some help getting a job. They want to live like this at the expense of the public’s money and enjoyment of public amenities.

Happy New Years, y’all!

Curious to hear if anyone has any specific goals/resolutions/things they’re especially looking forward to in 2025.

Comparing X, which is one company (with a far reduced headcount and much smaller revenues compared to pre-Elon) in a tech hub city to an entire oil industry in an oil-rich state seems beyond hyperbolic.

If you enjoy being bored to death, perhaps.

Somehow I think the group of people who choose to live in SF have particular interests and desired amenities that make high rent worth it. E.g., walkable and lively neighborhoods, access to parks, events, etc.

Seems silly. Nvidia focused on the market several years ago while other players fumbled the bag with multiple startup buyouts and no coherent execution plan (Intel) or were too focused on the wrong product with x86 CPUs (AMD). Never mind all the failed AI hardware startups who believed an ASIC optimized for ResNet and early DL models would somehow be in play as the market evolved to Transformers.

Nvidia played the long game, focused on enough generalization to be useful for future models and opening their software brought such that other players could write frameworks/compilers for them. Nvidia also supports x86 CPUs in their servers (they don’t lock it to their Grace CPU AFAIK) and allow Ethernet fabrics (not locking it to their infiniband).

Now AMD’s GPU division is doing what they do best: slowly copying Nvidia’s execution and catching up on software, which means they’ll always play second fiddle.

How is any of that antitrust?

As I understand, many people in Apple’s ML org come from Google. So there’s a bias to use Google software and hardware. Moreover, there’s probably a deal that Apple extracted to do training on Google hardware.

The important thing for Apple is the endpoint inference which will be done on Apple Silicon.

Have to say, I was thoroughly impressed by what Apple showed today with all this Personal AI stuff. And it proves that the real power of consumer AI will be in the hands of the platform owners where you have most of your digital life in already (Apple or Google for messaging, mail, photos, apps; Microsoft for work and/or life).

The way Siri can now perform actions based on context from emails and messages like setting calendar and reservations or asking about someone’s flight is so useful (can’t tell you how many times my brother didn’t bother to check the flight code I sent him via message when he asks me when I’m landing for pickup!).

I always saw this level of personal intelligence to come about at some point, but I didn’t expect Apple to hit it out of the park so strongly. Benefit of drawing people into their ecosystem.

Nevermind all the thought put into private cloud, integration with ChatGPT, the image generation playground, and Genmoji. I can genuinely see all this being useful for “the rest of us,” to quote Craig. As someone who’s taken a pessimistic view of Apple software innovation the last several years, I’m amazed.

One caveat: the image generation of real people was super uncanny and made me uncomfortable. I would not be happy to receive one of those cold and impersonal, low-effort images as a birthday wish.

SpaceX didn’t start from scratch. Their initial designs were based on NASA designs. Stop perpetuating the “genius engineer” myth around Elon Musk.