garciasn

However, using bots to collect royalties on the songs generated definitely fits within the definition of wire fraud as he was using electronic communications (i.e., the internet), to carry out a scheme to defraud streaming services of money.

1. Because it would cause confusion with my kids when they were trying to watch movies in the car as toddlers.

2. It was an annoyance when we were watching a movie at home.

I am finding a similar annoyance w/AppleTV's content ad/preview, recap, and intro skips. Like, for fucks sake, just play the episode already.

That said, here are some of my all time favorites (no particular order):

01. Pillars of the Earth (Ken Follett)

02. Lonesome Dove (Larry McMurtry)

03. A Painted House (John Grisham)

04. A Gentleman in Moscow (Amor Towles)

05. The Great Alone (Kristin Hannah)

06. All the Light We Cannot See (Anthony Doerr)

07. Annihilation (Jeff VanderMeer)

08. The First Law Trilogy (Joe Abercrombie)

* this encompasses three long books; however, I consider them one long epic novel

09. Mailman (Stephen Starring Grant)

10. Demon Copperhead (Barbara Kingsolver)

11. Lessons in Chemistry (Bonnie Garmus)

12. Hench (Natalie Zina Walschots)

13. Personal Librarian (Marie Benedict)

14. In Cold Blood (Truman Capote)

15. Life We Bury (Allen Eskens)

16. Ordinary Grace (William Kent Krueger)

17. God of the Woods (Liz Moore)

18. Maid (Nita Prose)

19. The Extraordinary Life of Sam Hell (Robert Dugoni)

20. The Heaven and Earth Grocery Store (James McBride)

If she was doing it for him, she was likely doing it for others and thus it was in her best interests to stay silent for one to protect the revenue stream from the others.

The States, figuring this would be TOCs stance, are attempting to argue this is not about regulation, but about collection of damages as a result of TOCs deceptive practices about the realities of pollution-created downstream effect.

With Alito recused, there is a potential for this to land as a split decision which would allow the current lawsuit to proceed.

Sort of. The problem isn’t necessarily the speed but the range. But it could be used. Bluetooth and WiFi tracking would be more likely in most real world scenarios.

Homes in the median are generally not viable unless you don't have a family or don't care about quality schools. In my city (90K), two houses that are identical but divided by the school district boundary between rank #1 and rank #265 out of 359 is a difference of $300K. One would be within the median and the other well above.

And let me be clear: ALL HOUSING IS A SCAM FINANCIALLY. Rent screws you one way and housing screws you another.

So: no problems solved.

I don't think it's necessarily misleading; it's just reminding folks that senior leaders have a different perspective than those below them and tailoring your message to the audience is important.

In this case of this, it was a reminder that while it's easy to believe the SVP is being dismissive, that's not the case at all. Instead, they want systems-oriented decisioning, not detail-oriented.

If anything, this was the SVP helping to grow the leaders under him by forcing them to think at the levels required to interact w/the rest of the organization.

> How can you know if their "big change" is appropriate and good without knowing the details of the problem the change is addressing?

I'm a Senior Director leading three teams of engineering and science resources. I hired smart and capable people. Why should I, as a SrD be a technical bottleneck?

If I have a handle on things from bottom-up to top-down, I don't need them to rehash weed-level technical and specific details. I need them to tell me what we're going to change, and it needs to be a BIG systemic change, not minutiae, which is where many engineers thrive.

> But their example is classification but that would also be possible and faster with a classic BERT model.

With BERT, you need a large, labeled dataset, and you have to train/fine-tune the model. Jev is pitched as a zero- or 'few-shot' model. You define the schema in code, give it instructions, and it works without a traditional training pipeline.

> So their pitch is a task specific smaller model or am I completely misunderstanding the whole thing?

Yup; that about sums it up: it is more or less an optimized, task-specific small model with the flexible understanding of a traditional LLM.

Thanks for the idea though!

2. There are viable alternatives (THC; mocktails; 0.5%/0% beer that is drinkable).

3. The Third Place is dead and people don't socialize as much anymore.

4. Economic conditions are abysmal and directly affect prices and extra money to spend.

There, saved you from reading a story that isn't really informative and only was written because of the politics surrounding DCs are keeping them in the news.

Most people on Earth try to put what they're seeing into the context of what they understand; mental gymnastics to try and understand what is happening based on their prior experience. They have absolutely 0 understanding of how it works under the hood so, to them, it must be alive.

Unlikely; your brain has been trained to enjoy it because it's a psychological hit inherent with the way the app + algorithm work together to be addictive and keep you 'engaged' instead of doing something else altogether.

Engagement dropping is bad for a corporations ad revenue -> shareholders; it's great for individuals and their physical and mental wellbeing.

Haven’t you learned anything?

The criminal definition apparently has no such modification.

E: removed a double ‘likely’

Email marketing is inexpensive, easier to measure, relies on the ridiculous CDPs and ESPs they’ve been tricked into investing in, and the measured numbers are larger than other digital channels.

The problem isn’t that bots are clicking, it’s that those big numbers aren’t going up and to the right in a reliable way any longer and those CMOs need to change how they’re measuring media.

At the end of the day, CMOs need to be measuring contribution to revenue, not meaningless marketing metrics the rest of the C-suite doesn’t give the slightest of fucks about. But that’s super hard for most organizations without competent Marketing Science or capable agencies, and it’s seemingly expensive because their budgets are already tight from all of the fly-by-night shit they’re over invested in. So; they continue to push what they know as well as chip away at their budgets with silly providers who provide little value instead of biting the bullet and doing the right thing.

The article is about email marketing. Some company has a proprietary algorithm that purportedly detects whether a click is legitimate based on 8y of development and data collection.

It’s definitely a race against the growing capabilities of the models in use and one that will be very difficult to win which is why there has been a significant push toward verification across the Internet—not because of the children, but because of the revenue.

That said, yes; walking is the best medicine for me.