Google cooked so hard. Not gonna lie, this feels like the future is here.
Now develop Google Glasses with enough battery power, a good chip, and a look like Ray-Bans, and you'll have an instant hit. 100%.
Introducing the new Antimetal—a complete command and control system for AWS.
The cloud is broken. It’s complex, expensive, and hard to manage.
We’re solving this with AI.
Ilya on LLMs understanding the world:
"predicting the next token well, means that you understand the underlying reality that let to the creation of that token"
Seem like the opposite view of Yann.
I confirmed with friends at the team that they did not speed up the video. Having such smooth motions at real-time, especially in hand dexterity, will unlock LOTS of new capabilities down the road. Regardless of how well you train the model in the world of bits, a slow and unreliable hardware will always be the fundamental bottleneck in the world of atoms.
The tactile sensing on fingers is the obvious right path forward. Now we can train truly multimodal robot transformers that take in text, video, audio, touch, proprioception (position, orientation, motion sensing) and some day, even smell and touch. The output is humanoid motor controls.
Can Optimus spin pens? Someone please try out our Eureka method and let me know? @Tesla_Optimus 👏
You can make a pretty good prediction if a startup will be successful or not by the first person the founders hire after they raise money.
Software engineer: good sign
Product designer: neutral
Any operational role: bad sign
Chief of staff/executive assistant: uh oh
Startups are science experiments, conducted primarily by those with Computer Science degrees. In the tech industry, we refer to these people as software engineers.
The number of scientists remains the bottleneck to virtually every critical metric in any meaningful science experiment. They’re also the hardest to find and the most expensive once found, so founders tend to fill other roles quickly while struggling to find a single 10x software engineer–by far the most important role in a software startup.
This leads to burning more money while making no additional progress. Worse, it feels like progress. Even worse, it starts locking in the company culture.
The best founders focus exclusively on hiring computer scientists/software engineers, and the occasional product designer (though I’d recommend part-time as design is much more scalable than engineering) and absorb all the “non-technical” work themselves.
Only once the product is obviously successful does it make sense to hire for operational roles, which are vastly easier to fill when you need to. And when you do, you’ll realize the bar for “non-technical” people can actually be super high, even higher than technical roles, but only when you have true product-market fit.
5 years ago, an army of RxJava fans thought I'm either crazy or a provocator when I said that there is no future for RxJava in Android. Today, new Android developers don't know what RxJava is.
Lesson: don't tie your identity to a technology and remain open-mided.