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Just watched Bing endorse a random third party web security tool, citing microsoft.com as a source, confusing it for Microsoft's own Windows Defender software.

This is fine, I'm sure.

Once I delete my remaining X accounts, as I plan to, I'll be cut off entirely from any government communications over X, and there aren't always alternative sources of this information.

I shouldn't have to generate ad revenue for Elon Musk and agree to his terms to see these communications. My taxes pay for them, give me them somewhere that is publicly visible, and stop hiding anything behind a membership wall.

Once X starts charging everyone subscription fees, this will only be worse.

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I've been thinking about how much of my local government uses X for official communications, and how I now have to have an account for a site known for spreading disinformation and hate speech just to be able to see posts by my elected officials.

I wonder if there's a legal path, at least in my state, towards legally challenging government use of X.

Well, the company I work(ed) for just folded. Poof! 💩⛈️.
No notice, no severance, no nothing. 🤬

So I'm asking for boosts and leads. If anyone needs someone who knows data, please reach out.

I'm located in Seattle, WA. Remote preferred.

Last few titles include: CDO, Head of Data, and Sr. Operations Analyst.

I've worked in gaming, fintech, and B2C/C2C marketplaces most recently.

I'm proficient in Python, SQL, statistics, team management, (almost) all things data-related, and a host of other stuff.

I'm opinionated and anti-capitalist, but I also routinely bring in multiple times my department's cost in profits for the companies I work for.

I'm also hella nice (despite my RBF) and easy to get along with.

God, pitching myself is so awkward.

That's the toot. Thanks.

---

**Gif is of parent company explaining our off-boarding process**

#PleaseBoost #Boost #FediHire #LWF #Layoffs #LookingForJob #LookingForWork #Data #DataScience #Python #SQL #Snowflake #ELT #DataPipeline #Analytics #BusinessIntelligence #CDO #HeadOfData #PleaseHelp #Gaming #Fintech #ChiefDataOfficer

We need to talk about Sam Altman's sanpaku eyes.

This absolutely was NOT an accident and I have nothing but respect for whoever was in charge of sending it to print.

cc @WearsHats

My wife and I are celebrating our 10 year anniversary today. It's been a wild decade, but we're making it.

Did something stupid as root and completely bricked my laptop. Really seeing the engineering from System76 pay off as I recovered my OS is less than a minute using the recovery wizard.

I've never recovered from this big of a fuck up so fast before on Linux. I'm having to reinstall a few things, but I lost absolutely nothing.

Disappointed in tech media for not using the term "dogfooding" to describe Apple's Scary Fast keynote event produced entirely with iPhones and Macs.

Time to find out how shelf stable they really are.

Complaining about how cold it got so fast, only to remember that I can finally fire up my 3D printer without creating a heat problem in my small apartment.

Printing the BYU One-Piece Compliant Blaster.

compliantmechanisms.byu.edu/ma

This screenshot will temporarily teleport your brain back to 2004. Use with caution.

Small correction: Stable Diffusion has 2.3B 256x256 images, and 170M 512x512 images that it is trained on.

But still, that comes out to less than one byte of model data per image in the training set. There's literally no way to argue that a 256x256 image got compressed down to less than a byte.

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It is worth noting to those who are in opposition to AI that the "models trained on my work contain my work" argument isn't technically or legally sound. Better arguments need to be made. If we could cram 1B+ 512x512 images into a single 2GB model, it would represent the single greatest breakthrough in data compression technology in human history. It turns out, this isn't a compression breakthrough, it's just proof that the original data isn't in the model.

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I agree that some degree of mimicry isn't infringement - fair use includes some degree of derivation - but I really don't think that training and using a model to deliberately imitate another artist's work represents fair use, especially if it can be found to harm the artist.

The line shouldn't be drawn at "is it an exact copy?", it should be drawn at "would it confuse a reasonable person into thinking this was original art by another artist?".

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Yesterday's lawsuits against Generative AI companies like Stable Diffusion and Midjourney were mostly dismissed, and I generally agree with that. There is one case still ongoing between Sarah Andersen and StabilityAI that I expect Sarah to lose on the grounds that her accusation isn't sound (her artwork isn't actually stored in the model).

But I am disappointed that they ruled that copying styles isn't infringement unless it is an exact copy of a work. I feel like this isn't a nuanced ruling...

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