jedberg

> I'm convinced LinkedIn demotes anything that links off-platform

This has been proven, they absolutely penalize off site links. The workaround is to put it in the comments, which they do not demote (yet). But engagement still matters for appearing on feeds. If you're not saying something controversial, you probably won't get a lot of engagement.

The next time you want to curse AWS, remember they gave us Firecracker, one of the best microvm technologies out there, and the basis of at least a few non-AWS products out there (this one being the newest entry to the list).

True but in those areas it also tends to rain a lot so it's less necessary. I'm thinking about Mediterranean and desert climates.

But if you take it deeper, didn't most of those authors rely on the work of others? Most of human knowledge is small advancements of things we already knew. Often by reorganizing what we already knew.

Is that not what the foundation models are? A new reorganization of existing knowledge?

Absolutely. I'm not taking a side here, I'm just pointing out why Anthropic might have a valid complaint.

I'm calling "work" here the conversion of energy to LLMs.

I've thought for a while that it would be interesting to have micro dehumidifiers on my roof that supplement my water supply from humidity.

Turn myself into a moisture farmer if you will.

But then I wonder, would it be a problem if everyone did it? Would it cause humidity to drop in a bad way?

What Anthropic is doing requires way more resources than what the Chinese labs are doing. So their complaint is that they do 95% of the work and the Chinese labs do the last 5% and call it their own.

An argument can be made that Anthropic is also only doing the last 5% of the work (because the content they are training on was the other 95%) but that's a bit more philosophical.

LLM technology will not go away. The premise here is that the foundation model companies will bust. So now there will be tons of idle GPU, where companies like AWS and Azure, or even Coreweave and Lambda, can pick them up for cheap and rent them out to people who want to run open source/open weight models.

> previous busts left useful infrastructure behind (rail, fibre) that could still be used. If/When the AI/LLM companies go bust, what will be left over afterwards and how useful will it be?

Many many idle GPUs.

Are you getting better performance from an LLM than a Bayesian classifier?

We don't have to guess, his offer letter is public record:

https://www.sec.gov/Archives/edgar/data/1441816/000162828025...

As far as I can tell, there is no notice period.

I talked to a hiring manager friend at a big company you've definitely heard of. I was looking for a job so I sent him a link to one of his jobs and said "can I interview for this?"

He said: Oh, I have 23 recs on the job site but none of them are open. They just keep them there to make us look like we're still hiring like crazy.

> Sun had become bored with the mechanics of running a business.

I would contend that Sun was never interested in running a business. They always cared more about building amazing technology and suffered the sales to make money.

You can't deny that Sun hardware was top tier and always ahead of its time (until Oracle bought them).

Edit: I had on rose colored glasses. I was thinking of late 90s SUN. They did in fact start getting crushed in the early 2000s.

An interesting take, never really thought about it. Why isn't it justice?

Arbitration isn't the issue. The issue is when one of the parties has vastly more legal resources than the other, and gets to pick the arbiter.

Arbitration is fine for two equal parties when a third party neutral arbiter is chosen. I've been through that kind of arbitration and it was great.

But when the huge company gets to pick the arbiter (or even just threaten the arbiter with taking away all their other cases), that is when you have problems.

One thing I like better about this one is that it breaks it down by mission and location. Would be a cool improvement to your site.

> Say what you will, the Chinese are efficient once they set their mind to something.

Sometimes a single party communist government has its advantages. When you don't have to worry about pesky things like human rights and property rights, you can move pretty quickly!

This is interesting because they still claim that their drivers are contractors and hold no responsibility. But this could open up a lot of other claims against them for driver behavior.

Consider yourself lucky that you’ve never been the victim of a fiber cut. But what about if the power to your house goes out? Or what if your server blows the power supply?

My entire point is that you have no redundancy in your system and you also aren’t big enough to have any pull with the vendors who can fix these types of outages so you’re basically at the mercy of your providers with no recourse.

That’s why these systems are built the way they are.

And generally four nines is considered the gold standard these days. I can tell you for sure that both Netflix and Ebay would lose money anytime they drop below four nines because I have at some point been responsible for both. You’re correct that Reddit has a lot more leeway and outage time before they start losing money but not that much leeway.

I'll be a little contrarian here. I've actually purchased things from Instagram ads. Because they were highly targeted and actually something I wanted once I learned it existed. It was a solution to a problem I had but never researched for a solution.

I'm guessing ChatGPT will be able to do the same for me, especially since it probably knows me better than Instagram at this point, just given all the things I ask it.

If they do it right, it will be helpful. The big question is will they do it right.

Is it? When your internet is out for five days because your ISP takes a few days to get to you, do you acknowledge that you're now at 98.5% availability for the year, far worse than any SaaS email service?

I think people forget that those large environments are there for a reason. To make sure the service stays up in the face of problems outside your own control.

That's not how it's worked in the past. They did security updates until three versions later released regardless of the hardware. What you may be thinking of is that there was some weirdness around Intel vs M series chips and how those got updates.

Thanks, appreciate the feedback!

I usually use beta OSs, but I completely skipped MacOS 26 and 27, mostly because I heard terrible things about 26.

Is 27 good enough to upgrade from Sequoia? Is your answer the same when I tell you I have an M1 Pro Max?

In this market, 6 months isn't enough.

Reddit's /r/programming is very well moderated, and they specifically don't allow articles about AI, unless it's programming AI. You should check it out.

You'd be surprised how many people don't know the names, only "regular paper" and "long paper"

I meant they aren't political in their pricing. They don't charge less or more for something because it is considered liberal or conservative.

Letter, Legal, Tabloid, and Ledger:

https://papersizes.io/us

It's bizarre and makes no logical sense.