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“Our employee pushed bad code by accident” is VASTLY better for them than “we didn’t secure the infra that pushes updates to millions of machines”.

I didn’t say it was 50/50, but an accurate enumeration of options does include a failed attempt at a hack.

I fail to see why this is so difficult to understand.

You do remember Solarwinds right? This is an obvious high value target, so it is reasonable to entertain malicious causes.

Given the number of systems infected, if you could push code that rebooted every client into a compromised state you’d still have run of some % of the lot until it was halted. That time window could be invaluable.

Now, imagine if you screw up the code and just boot loop everything.

I’d say business wise it’s better for crowd strike to let people think it’s an own-goal.

The truth may be mundane but a hack is as reasonable a theory as “oops we pushed boot loop code to world+dog”.

The spoiling is a feature, it encourages trade and spending. Truly an economic boost you wouldn’t believe.

Was somebody trying to install an exploit or back door and fucked up?

Ten eggs per power, obviously.

To be fair, I’m not sure how many straw men will get you a pint at most public houses these days.

I’m only familiar with egg-to-pint exchange ratios, but then again most of my personal liquidity is tied up in a henhouse currently.

The cash is subject to inflation and poor central banking decisions. To be really safe, let’s just go back to a barter system. Just bring five eggs to the pub and get a pint.

I asked Google Assistant to give me the prime factorization of an integer. It gave me the right answer, but it was because it happened to a webpage that had that number as an example problem.

I was still incredibly impressed.

This is like 200x more complicated setup than just running Ollama.

Scores are also interesting in that you can get 1.0 match on a classification task, but if the model is dog shit it’s 1.0 of dog shit.

I’m still struggling with the degree to which I want to expose raw scores to users for that reason.

On the other hand, sometimes a document that slightly above an arbitrary threshold isn’t great, or a document slightly below an arbitrary threshold may be fine.

I’m excited about how easy it is to do this stuff, as the tooling is sophisticated enough now, you don’t need to know too much about the underlying mechanisms to do things that are useful. Once you get into those very fine distinction, it’s still very difficult work.

I would say everybody smart is doing that, but a lot of the dumb money in AI right now is just wrappers on the GPT API That makes for a flashy demo with no underlying substance or expertise.

512 has been sufficient to solve my problems. I had done some initial attempts with BigBird that weren’t going well, but then realized I didn’t really need it.

I may revisit at some point.

Indexing in Postgres is legitimately painful, I don’t think “get moar ram” is a good response to that particular critique.

Document classification in highly ambiguous contextual space. Solving some specific large scale classification tasks, so multi million document sets.

Product in stealth for a little bit longer, so can’t say much. :-)

The article mentions T5 and translation is something T5 is supposedly good at - just sharing I was less than impressed.

Shhh, don’t tell everybody the secret. ;-)

I tried some large scale translation tasks with T5 and results were iffy at best. I’m going to try the same task with the newest Mistral small models and compare. My guess is Mistral will be better.

Maybe in SOTA ml/nlp research, but in the world of building useful tools and products, BERT models are dead simple to tune, work great if you have decent training data, and most importantly are very very fast and very very cheap to run.

I have a small Swiss army collection of custom BERT fine tunes that are equal or better than the best LLM and execute document classification tasks in 2.4ms. Find me an LLM that can do anything in 2.4ms.

We’ve got three operating systems, three giant cloud providers, and a near monoculture of browser engines. It’s not great, even if it could be worse.

You, you can write a prompt in English, give it French, and get an accurate answer in English even with the original Mistral.

Still blows my mind we came so far so fast.

I don’t see any indication this beats Llama3 70B, but still requires a beefy GPU, so I’m not sure the use case. I have an A6000 which I use for a lot of things, Mixtral was my go-to until Llama3, then I switched over.

If you could run this on say, stock CPU that would increase the use cases dramatically, but if you still need a 4090 I’m either missing something or this is useless.

So you got a pile of “ai” and a pile of “real” and did a binary classifier?

Yup, I’m having these issues and my next purchases are going to be AMD.

I have these issues on a dedicated Postgres server running Linux and literally nothing else. It’s not just games, it’s just a lot of gamers buy these chips.

I’ve had extensive problems with the 13th gen, nearly all of the reporting I’m seeing is what I’ve experienced. Including weird NVME issues that I couldn’t figure out until I saw reports of it being related to these issues.

I’m done with Intel.

It’s kinda interesting seeing Google try and fail to find the next revenue source after search ads, and now seeing Apple try and fail to diversify away from iPhone sales. They are both wildly successful, but I’m ready for a new crop of competitors in the market.

That used to be true now it’s worse. My hospital system and health insurer play chicken every 12-24 months. I’ll get letters saying I can’t see my doctor anymore, then they go up until some midnight deadline, make a deal, and I get an email saying I can still go to the doctor.

Sometimes it doesn’t work out through! You could have the same job, health insurance, and doctor for a decade - and ooops! The next day you have to drive an hour away to see some new doctor you never met before who isn’t as good as your doctor.

And that all comes down to this financial gamesmanship between hospitals and insurers. It’s nuts, literally the dumbest combination of petty greed and literal life altering decisions possible.

As somebody who has lived both places that’s not far off.