wait until your TV has it's 5g modem to bypass your wifi

Attribution is very painful and advertisers will pay lots of money to close that loop.

> even if they use older machines and run longer exposure times

How do longer exposure times and older machines enable 2nm process nodes?

They can do 7nm and 5nm. Multiple patterning basically. I don't know when it doesn't scale anymore. Moat likely 4x patterning is the max you want to do.

If you didn't care about exposure time, you could build 2nm chips with brute-force electron beam lithography. But the limited throughput confines EBL to research and very low-volume applications. ASML's EUV-based processes are what permit industrial-level scaling, ultimately because parallel beams of electrons repel each other while parallel beams of photons don't.

I don't personally understand why suitable EUV light sources are so hard to build, but evidently, they are. It sounds like a big deal if China is catching up in that area.

mojo been in the works for 3+ years now.... not sure the language survives beyond the vc funding modular has.

I wish agentic skills were something other than a system prompt or a series of step-by-step instructions. feels like anthropicide and opportunity here to do something truly groundbreaking but ended up with prompt engineering.

Realistically you aren't their target market. They're targeting the enterprises who already have self hosted runners and aren't interested in switching to Actions minutes.

VC backing makes a lot of less than reputable business models respectable enough to engage with corporate clients.

In this case you aren't backing a phone farm creating ad fraud, but rather a "organic paid media initiative backed by a16z"

> But in some cases, for instance, my accounting agent would only get paid if he successfully uploads my tax returns.

I think you'd want it to correctly compute your taxes. Especially if you get a letter a year or two after the fact saying you owe the government money

Indeed. The whole AI game is predicated on the fact that they can deliver work equivalent to humans in some cases. If that is never going to be the case, then this whole agentic stuff goes belly-up.

The alternative scenario is they get better and do some work really well. That is an interesting territory to focus on.

super amazing demo performance being able separate out music voice and background noises. do you have to explicitly specify what type of noise to separate?

Better question is which tools at what level