Agreed. Companies should be required by law to release source code, build guides, documentation and service architecture for services or apps that are required by hardware they sold.

While there are bigger fish to fry at the moment, socially speaking, the problem is only going to get worse if legislators don’t step in.

Pros:

• you run a home lab

Cons:

• you run a home lab

As someone who’s experienced the same thing, some of the messages I received were shockingly well written.

The fake “find my” site they tried to use to convince me to log into my iCloud account was wildly convincing, if not for the index.php at the end of the URL - something Apple would never configure for service endpoints.

They continued to try - but never threatening. However I never engaged and eventually they just stopped trying.

You can hear Brian Schul tell it himself: https://youtu.be/8AyHH9G9et0?si=5aes_aeiIT3bIlsX

I wake up every day living the dream of delivering more value to the shareholders.

You’re conferring a level of agency where none exists.

It appears to “understand.” It appears to be “knowledgeable. “

But LLMs do neither of those things.

Take this note from an OpenAI dev:

It’s that these models have leveraged so much data they’ve been able to map out relationships between words (or images) in way as to be able to generate what seem like new versions of those things.

I grant you that an LLM has more base level knowledge than any one human, but again this is thanks to terrifyingly large dataset and a design that means it can access this data reasonably reliably.

But it is still a prediction model. It just has more context, better design and (most importantly) data to make predictions at a level never before seen.

If you’ve ever had a chance to play with a model at level where you can control some of its basic parameters it offers a glimpse into just how much of a prediction machine it can be.

My favourite game for a while was to give midjourney a wildly vague prompt but crank the chaos up to 100 (literally the chaos flag at the highest level) to see what kind of wild connections exist but are being filtered out during “normal” use.

The same with the GPT-3.5 API in the “early days” - you could return multiple versions of the response and see the sausage being made to a very small degree.

It doesn’t take away from the sense of magic using these tools. It just helps frame what’s going on under the hood.

I look forward to the day we can use our “dead” car battery as the battery backup for our home.

64kWh * 0.8 is 51kWh.

Even 40kWh would be a great battery paired to a solar system.

The used car batteries could have great second lives.

As a non-American it seems they want a very particular reading of certain parts of the US Constitution.

Much like how the same people pick and choose the parts of Christianity that serve them and ignore the parts that don’t.

One nation, under God.*

*Terms and conditions apply.

I second this.

It's going to be hard. If the recruiter/TA Specialist is good at their job they'll try to get you to give a "ballpark." They'll do anything to try to figure out the lowest offer they can make.

Do not give in.

Hold firm and ask what their offer is and go from there.

In one case their offer was double what I was expecting. It changed my life.

In other, their offer was just slightly under what I was expecting and I got what I hoped for with little effort and only a single back and forth.

There is one exception here: if they really want you and you are ABSOLUTELY sure you're out of their salary band for the position, you can wield your salary demands like a sword. I recently used my expected salary (which I knew the company wouldn't match) to negotiate a 4-day work week at their full time pay, with an extra week of vacation tacked on for good measure. Win win.

Snaps I get, but Ubuntu? Aside from an asinine application process to get hired a Canonical, they did a lot to push for a more straightforward Linux desktop experience. Their time has passed, but cancer is a bit too much for me, considering all the fantastic offshoots.

Context: I came to Ubuntu from Gentoo. Debian before that and a brief flirt with the hot fantastic mess that was Mandrake when I first discovered Linux.