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That is the humanoid robot use case with time for charging, maintenance, and offline during repair. This is just a rough estimate of amortizing those costs and comparing them against a 7-day work week.

This is a superficial article.

The biggest bottlenecks are raw ingredients, power, and factories. Once the automated manufacturing flywheel gets started, units can be produced very rapidly. Specialized machines produce low-level components, while more generalized machines assemble higher-level components as well as products like themselves and other robots.

People don't factor a human's total compensation beyond an hourly wage.

Machines don't need as much breathing room as humans.

Machines can work a 6-day, 16-hour schedule.

This generalizes to a whole new category of tools: UX which requires more thought and skill, but is way more powerful. Human devs are mostly too lazy to use, but LLMs will put in the work to use them.

> If you lose $100k on cryptocurrency, or you spend $800 on some metaverse thing, it's fine, you can still buy food.

20 - 30% cannot spend $100k per year as funny money, that is more like the top 5% but probably more like the top 2%.

High earners in the 20 - 30% often also live in expensive areas, so their dollar doesn't go as far as some of the more affordable places to live (housing, food, etc).

Pro-tip: Don't host your status / outage page on your own infrastructure. We learned this lesson the hard way at AWS with S3.

True. It isn't literally present as that sentance in Understanding Media: The Extensions of Man (1964), but is a summarization. Amputation is mentioned 15 times and augmentation twice.

The concept that "every augmentation is an amputation" is best captured in Chapter 4, "THE GADGET LOVER: Narcissus as Narcosis." The chapter explains that any extension of ourselves is a form of "autoamputation" that numbs our senses.

Technology as "Autoamputation": The text introduces research that regards all extensions of ourselves as attempts by the body to maintain equilibrium against irritation. This process is described as a kind of self-amputation. The central nervous system protects itself from overstimulation by isolating or "amputating" the offending function. This theory explains "why man is impelled to extend various parts of his body by a kind of autoamputation".

The Wheel as an Example: The book uses the wheel as an example of this process. The pressure of new burdens led to the extension, or "'amputation,'" of the foot from the body into the form of the wheel. This amplification of a single function is made bearable only through a "numbness or blocking of perception".

etc

"Every augmentation is an amputation" -- Marshall McLuhan

It is not a silly question. The various flavors of LLM have issues with reliability. In software we expect five 9s, LLMs aren't even a one 9. Early on it was reliability of them writing JSON output. Then instruction following. Then tool use. Now it's "computer use" and orchestration.

Creating models for this specific problem domain will have a better chance at reliability, which is not a solved problem.

Jules is the gemini coder that links to github. Half the time it doesn't create a pull request and forgets and assumes I'll do some testing or something. It's wild.

What does the full stack monorepo do?

This is impossible in current glasses form factors. The display is additive.

If you are starting at a display which displays a video feed (VR/MR form factor), you are correct.

How does this compare to a conventional CPU or GPU in terms of flops per second? Or does this not present a traditional architecture?

Apple has had such a terrible off and on relationship with gaming. It never really made sense to me, as in some ways gaming is the future of media and the synthesis of so many artforms. Apple is so strong as a creative platform.

They will have to work really hard to incentivize developers and studios to invest in iOS and macOS and it's bespoke low level libraries.

Glancing at the domain name, I got a burst of nostalgia for whytheluckystiff.net.

Folder UI components are a common case.

Seattle's is very disappointing as it doesn't seem to include Bezos' over the top laughter.

https://www.seattletimes.com/seattle-news/seattle-crosswalk-...

I want different capabilities at $200.

I paid for that to get access to Deep Research from OpenAI and I feel I got more than $200 of value back out.

These companies have a hard time communicating value. Capabilities make that easier for me to understand. Rate-limiting and outages don't.

Probably a no go for Spanish speakers.

A sample MCP example with data would be helpful.

We've come a long way since beowulf clusters of smart toasters.

“People, no offense, don’t really love cucumbers. There wasn’t as sustainable a market for it,” Agus said.

Maybe stick to "secret" warrantless surveillance on US citizens.

I always wondered why the people "in reality" in the Matrix only ate grey gruel.

CUDA begs to differ.

NVIDIA sells shovels to the gold rush. One miner (Liang Wenfeng), who has previously purchased at least 10,000 A100 shovels... has a "side project" where they figured out how to dig really well with a shovel and shared their secrets.

The gold rush, wether real or a bubble is still there! NVIDA will still sell every shovel they can manufacture, as soon as it is available in inventory.

Fortune 100 companies will still want the biggest toolshed to invent the next paradigm or to be the first to get to AGI.

NVIDIA sells shovels to the gold rush. One miner (Liang Wenfeng), who has previously purchased at least 10,000 A100 shovels... has a "side project" where they figured out how to dig really well with a shovel and shared their secrets.

The gold rush, wether real or a bubble is still there! NVIDA will still sell every shovel they can manufacture, as soon as it is available in inventory.

Fortune 100 companies will still want the biggest toolshed to invent the next paradigm or to be the first to get to AGI.

> Anything a CPU can do can just be done better

Nope. Anything inheriantly serial is better off on the CPU due to caching and it's architecture.

Many things that are highly parallizable are getting GPU enabled. Games and ML are GPU by default, but many things are migrating to CUDA.

You need both for cheap, high performance computing. They are different workloads.

Yes. ARC AGI benchmark was supposed to last years and is already saturated. The authors are currently creating the second version.

Orbital Materials is designing wafer substrates that capture carbon and reuse excess heat.

Logged in I am wildly mistargeted. When I go anonymous via private browsing, the YT ads are soft core porn. Is Google having trouble with inventory or ???

Backend coding for web services.

In the past I would hand write 8 or 9 unit tests. Now I write the first one or two and then brain dump anything else into the LLM prompt. It then outputs mine plus 6 or more.

I delete any that seem low value or ridiculous or have a follow up prompt to ask for refinements. Then just copy/pasta back into the codebase out of the chat.

I guess the question is if your parents and your grand-parents formed opinions based on sample size N of 1.