dswalter

You're describing a Taravangian prompt situation (a character in a book series who wakes up with a different/random intelligence level each day and has a series of tests for himself to determine which kind of decisions he's capable of that day). https://coppermind.net/wiki/Taravangian

I can't help but feel this is a useful analysis for humanity, but somehow saddening for a fan of the person being analyzed. Almost overly invasive.

Would Sir Terry have appreciated or approved of this?

For many of us, even if drawing that line exactly is debatable, a prompt-generated image, where the "artist" didn't interact with any of the pixels is across the line for "too much AI".

It can definitely take creativity and fortitude to get an AI model to draw what you want it to. But if you worked at a fantasy publishing house and commissioned a cover painting, it might take a fair amount of work for you to get the artist to create something in line with what you envisioned. But you wouldn't get artistic credit for the resultant painting; the artist would! If AI is creating the piece, it is the artist; and you're merely the commissioner of the work.

What I like about this piece is how it shows the technical prowess underpinning the visual outputs in a film like what Disney puts out.

I only wish it went further! There are a ton of lessons those of us outside films/games could learn from working in that kind of deadline-consttrained innovative landscape. Tell about how you fought against the rendering deadlines and sped up the snowscape frames by 30% to get it in under the wire!

I see USD $36 on ebay, used. It's a smaller barrier to entry.

Refreshing when technical writing has a sense of style.

Read it and gain a gnawing sense of unease at how "good" things might really be at present!

Instant Pot Garbanzo beans/chickpeas with a tiny bit of salt are a favorite in my home. Creamy, savory, and delicious! Cannellini beans are also lovely.

The title is correct, but it obscures the fact that it's discussing life in Antarctica!

Living in antarctica is one of our closest analogues to long-term space habitation.

Your response is more textured and interesting than the OP's, even though we are all posting on the website from his company.

Imperva, a Thales Company | Data Scientist for Bot Detection | Full-Time, Hybrid (Vancouver)| imperva.com for the company | Hiring two candidates.

We are looking for talented, experienced Data Scientists who are ever curious about data problems and eager to write code to get those problems solved.

Members of this team creatively find problems as well as solve them. Much of the work is analyzing detection mechanisms and bot behaviors, making advances in realtime bot detection and mitigation, and implementing those advances in production.

The positions are on the team I lead. The data and problem are interesting, data is intrinsically useful in bot detection, and there is no shortage of challenge to working a difficult problem. Python, SQL, and Rust are some languages we're currently using for most of our work. The ideal candidate has worked as a software engineer and data scientist and wants to do both.

Apply here: https://careers.thalesgroup.com/global/en/job/R0268114/Data-...

There's a fundamental reality that shapes both Netflix and Spotify's trajectory: content licensing. 2012 Netflix had access to vastly more of everyone else's library, so it was closer to an indexed search of what was available that one could watch and then getting that video onto your screen. Over time, other companies understood that they were underpricing their content and Netflix was reaping the benefits. Once external forces adjusted, the TV/film bidding wars began. Today, netflix doesn't have nearly as much content as they used to have.

That risk (losing all content and facing extinction) is what pushed Netflix in the direction of being a content-producer, rather than a content aggregator. I agree with everyone's points on the influence of the median user in diluting the quality of the content Netflix produces, but that's not the only forced that pushed us here. Spotify faced a similar crossroads and decided to broaden beyond music once they started losing bidding wars for licensing.

Being a faster horse wasn't an option available to either Netflix or Spotify; there is no path for a 'better 2012 version of netflix or spotify' in 2025. They each had to change species or die, and they chose to keep living.

Imperva, a Thales Company | Data Scientist for Bot Detection | Full-Time, Hybrid (Vancouver)| imperva.com for the company | Hiring two candidates.

We are looking for talented, experienced Data Scientists who are ever curious about data problems and eager to write code to get those problems solved.

Members of this team creatively find problems as well as solve them. Much of the work is analyzing detection mechanisms and bot behaviors, making advances in realtime bot detection and mitigation, and implementing those advances in production.

The positions are on the team I lead. The data and problem are interesting, data is intrinsically useful in bot detection, and there is no shortage of challenge to working a difficult problem. Python, SQL, and Rust are some languages we're currently using for most of our work.

Apply here: https://thales.wd3.myworkdayjobs.com/Careers/job/Vancouver--... for the job posting.

Imperva, a Thales company | Data Scientist for Bot Detection | Hiring 2 candidates | Vancouver, Canada | Hybrid

We are looking for talented, experienced Data Scientists who are ever curious about data problems and eager to write code to get those problems solved.

Members of this team creatively find problems as well as solve them. Much of the work is analyzing detection mechanisms and bot behaviors, making advances in realtime bot detection and mitigation, and implementing those advances in production.

The positions are on the team I lead. The data and problem are interesting, data is intrinsically useful in bot detection, and there is no shortage of challenge to working a difficult problem. Python, SQL, and Rust are some languages we're currently using for most of our work.

Apply here: https://www.imperva.com/company/careers/position/?p=job/ofXg...

Imperva, a Thales company | Data Scientist for Bot Detection | Hiring 2 candidates | Vancouver, Canada | Hybrid

We are looking for talented, experienced Data Scientists who are ever curious about data problems and eager to write code to get those problems solved.

Members of this team creatively find problems as well as solve them. Much of the work is analyzing detection mechanisms and bot behaviors, making advances in realtime bot detection and mitigation, and implementing those advances in production.

The positions are on the team I lead. The data and problem are interesting, data is intrinsically useful in bot detection, and there is no shortage of challenge to working a difficult problem. Python, SQL, and Rust are some languages we're currently using for most of our work.

Apply here: https://www.imperva.com/company/careers/position/?p=job/ofXg...

I'm largely in favor of SSO, but it's not without its downsides, going beyond capital costs: SSO can also be implemented in a way that introduces an onerous latency tax when using services.

Please write the post where you analyze R&D through these different lenses! I would love to hear more of your thoughts.

Before they were acquired by Google, looker had a bunch of really engaged community support people, and the docs were great for what the product did. There were learning paths for different types of users and tutorials linked to references in a way that made sense. I learned a lot about effective documentation (and looker!) from going through what they had.

Google laid off their US-based community support team (https://www.reddit.com/r/Looker/comments/t5jpwk/google_cloud...) and in the time since, those docs links have rotted/disconnected.

Even if 100 US-based community support folks were making $300K in total comp, why would you not spend $30MM to keep your $2.6B acquisition humming along? A bit mystifying.

For those unaware, this is a long-form article by the renowned (late) neurologist and writer Oliver Sacks about his personal mental and emotional experiences of what it was like to not feel his leg.

The piece is much more of a New Yorker style than a Paul Graham style. Enjoy it for what it is!

Nearly half of admitted white students at Harvard got in via a VIP lane, which is really high.

But that doesn't necessarily tell the story for what it would be like to apply to Harvard as a white student. There is a subtle yet important distinction in this.

The idea is that Rails apps are such a large portion of the population that they elected a representative from within themselves.

It's not intended to be taken literally (I assume).

You might have missed a key element from the article itself. There are three versions of the same argument: the first by the author, the second by ChatGPT as an argument in support of the statement:

"I’ve been reluctant to try ChatGPT. Today I got over that reluctance. Now I understand why I was reluctant. The value of 90% of my skills just dropped to $0. The leverage for the remaining 10% went up 1000x. I need to recalibrate."

and the third is ChatGPT arguing against that same statement. As present, it's pretty clear which of the three is the most fun to read.

The simulations in this are great. It must have taken a ton of work to get this to such an apparently simple and almost self-explanatory state.

Really effective as teaching material; kudos to the author!

Something about not being young anymore is that I am much more comfortable leveraging small changes consistently over time. When I was 16, the idea of doing a little bit of practicing vocal exercises each day in order to improve over time would have seemed an insurmountable challenge. I needed things to improve over the course of days or hours. (In this, I was terribly short-sighted).

But now that I'm considerably older than that, I can mentally afford to allocate a little bit of time over the next six months toward achieving a goal like improving my typing, or getting better at vocal onsets. Being better at something a year or two from now feels very worthwhile, and I know I'll be at that future me fairly quickly.

It would have been better for me, of course, to have gained this ability back when I had lots of time at my disposal. But I can still have an impact because I can be the drop of water shaping the stone over time.

Python dot releases are significant releases. Perhaps you recall the last python integer version number change?

As a result, it will be quite some time before we see a version 4.

It's also an indicator that quality of maps isn't necessarily viewed as a differentiator by the TomTom organization. If I suddenly had a sufficiently-good automated product and hundreds of domain experts, I'd work to have the domain experts refine the automated product, hopefully turning my (just pulling numbers out of thin air) 97% quality automated solution to a 99% quality solution. Those incremental gains on the tail are often tremendously valuable for customers.

That final one isn't especially upflifting, but it's from a meme.

https://i.kym-cdn.com/photos/images/newsfeed/001/440/187/84d...

Imperva | Data Scientist for Bot Detection | full-time | Raleigh-Durham or REMOTE | Imperva is an enterprise cybersecurity vendor. We're looking for another product-oriented Data Scientist-type person to work on the bot detection systems. It's a challenging problem, I like working as part of the team.

https://jobs.jobvite.com/careers/imperva/job/o3rGffw9?__jvst...

We also have other roles available on the jobvite.

But in many cases, there are ways to dispute and/or retrospectively fix or amend a transaction that is mis-classified.

In the exceptionally rare case that something is exploited within a cryptocurrency, there is no recourse for the victim.

It's maybe an ... interesting sign that someone with substantial liquidity from tesla shares at this point in history is apparently finding cryptocurrency an enjoyable diversion/investment vehicle?

Because very few other former FB employees (or Google for that matter) have come out from under NDA's to talk frankly about what they've seen in the mega-iest of megacorps.

It's not that what she's saying is especially surprising, it's that it's rare for someone to be saying it at all.