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AI family glamorous project management software

My father, Maurice Zeldman, and his ZGANNT software

My father, Maurice Zeldman, was a giant in the field of project management, though I suspect few in my world of web standards and design would recognize his name. Dad consulted for over 180 organizations and led seminars around the world. Project managers everywhere used his techniques to create realistic estimates and timelines that actually worked—a rare skill in any technical field, then and now.

Before founding EMZEE Associates (the name a play on his initials, M.Z.), Dad was Corporate Director of Technical Development for Rockwell International’s Industrial & Marine Divisions. He designed, built, and staffed their entire Engineering Development Center. Earlier in his career, he worked with Perkin Elmer developing an Atomic Absorption Spectrometer and with American Machine & Foundry as Chief Engineer of their Versatran Robot division. His robotics knowledge led to his book Robotics: What Every Engineer Should Know, published by CRC Press in 1984, followed by Keeping Technical Projects on Target, an AMA management briefing.

EMZEE Associates, Dad’s consulting and training company, specialized in project management and technology implementation. While I was designing websites and campaigning for web standards in the mid-90s, Dad was already running a successful business teaching Fortune 500 companies how to bring their complex technical projects in on time and under budget.

Then there was ZGANTT, his DOS-based project management software from the late 80s/early 90s. The name combined “Zeldman” with “Gantt chart—those horizontal bar charts showing project schedules that are still used today. While I was learning to code and finding my path, Dad had already created specialized software implementing his project management methodologies. This was during the first wave of specialized project management tools, before Microsoft Project took over the market.

Looking back, I realize my obsession with systems, standards, and improving how people work together didn’t come from nowhere. While I applied these principles to web design, Dad had been applying similar thinking to the complex world of project management decades earlier. His ZGANTT software and EMZEE Associates consultancy were direct expressions of his belief that the right methods, correctly implemented, could bring order and success to even the most complex technical challenges.

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AI Applications art art direction Design

This Years Model

There’s a new AI model that can render photorealistic people and products, including text and logos.

Geisha With Walkman is something I tried to draw 40 years ago, but my rendering skills were simply too poor. The Reve Image 1.0 preview allowed me to do it instantly this morning with a single, basic prompt.

P.S. I retro-updated the Walkman with an iPod to “modernize” the concept.

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AI Law & Legal Off My Lawn! State of the Web

Your opt-innie wants to talk to your opt-outtie.

Here’s a fact: “Opt-in” is great for programs a platform controls, but meaningless when that platform has no control.

Take, for example, oh, I don’t know, let’s say AI companies scraping web content without your permission. The heart wants to make content scraping permissions “opt-in,” so people who post content online are protected by default.

Except we won’t be. Smaller, “good” AI companies may comply with “opt-out” notices; big ones surely won’t. Scrapers gonna scrape.

So why even bother with an “opt-out” setting? Because companies that continue to scrape opted-out content may find themselves on the losing end of major lawsuits.

Of course there’s no telling how these lawsuits will work out—not with ketamine supervillains and their GOP enablers willfully violating consumer, worker, and climate protection laws here in the benighted States of America. But even so, an opt-out notice is a red line, and most corporate legal teams are cautious and sober—at least during working hours.

An opt-out notice is *something.* It smells funky, but has a chance of working.

Of course opt-in feels better. It’s how we’d do things if we had control over third-party scrapers. But we don’t have that control.

Which makes opt-in for AI scraping a feel-good but basically performative gesture. And we don’t have time for those.

However pretty it might be to think otherwise, something imperfect that might work beats something pure that won’t. Don’t hate me ’cause I’m beautiful. I’m only here to tell you what we both know in our souls.

Your AI sponsor,

z

Photo by Tingey Injury Law Firm on Unsplash.

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AI automattic Blogs and Blogging content guestbook spam Indieweb industry Own your content software State of the Web Surviving The Essentials Websites

Akismet means never having to say you’re sorry

The wizards behind AI have been busy lately providing meaningful employment for digital nonpersons.

One of the hottest jobs for non-humans is crafting and deploying website guestbook spam. This market’s on fire!

If you thought the guestbook spam of yore was impressive, you ain’t seen nothing yet. The new, AI-assisted comment spam has improved keyword stuffing, fewer grammatical mistakes, and, best of all, there’s tons more of it. Your Comment section was never so useless!

And we’re not just talking quantity, here; we’re talking quality.

Compared to the spammers of yore, the new signal depressors have a bold confidence that proclaims, “Hello, world! I’m here to waste your time and extinguish what’s left of your hard-won reader community. Watch me work!”

Yes, the bots who shit in your sandbox are bigger, brassier, and better than ever at wasting your readers’ time and abusing your content to score points on the Google big board.

What’s that you say? You’re not a comment spam enthusiast?

In that case, do as I do: use Akismet to keep cruft where it belongs: off your website. Akismet was strong enough for the comment, form, and text spam of the past, and it’s strong enough for the new junk, too.

(Full disclosure: I work at Automattic, makers of Akismet, but I penned this post this morning purely as an Akismet customer, after happily reviewing the blocked comment spam on this here WordPress site of mine. Thanks, Akismet!)

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AI Best practices Education environment ethics planet

AI Roundup: The Bad, the Ugly, and the Pretty Cool

Ay, ay, AI! Hype, fear, and strongly voiced opinions��the traditional currency of internet conversation—are unequal to this moment, where the Fate of Everything™ dangles from a single gossamer thread. So here are four useful links to pieces of the web that make differing and complementary sense of the threat and promise of AI.

Of course AI is a bubble. It has all the hallmarks of a classic tech bubble. Pick up a rental car at SFO and drive in either direction on the 101—north to San Francisco, south to Palo Alto—and every single billboard is advertising some kind of AI company. Every business plan has the word “AI” in it, even if the business itself has no AI in it…

Tech bubbles come in two varieties: The ones that leave something behind, and the ones that leave nothing behind. Sometimes, it can be hard to guess what kind of bubble you’re living through until it pops and you find out the hard way…

Cory Doctorow: What Kind of Bubble is AI?

de Vries calculates that by 2027 the AI sector could consume between 85 to 134 terawatt hours each year. That’s about the same as the annual energy demand of de Vries’ home country, the Netherlands. 

The Verge: How much electricity does AI consume?

The Elements of AI is a series of free online courses created by MinnaLearn and the University of Helsinki. We want to encourage as broad a group of people as possible to learn what AI is, what can (and can’t) be done with AI, and how to start creating AI methods. The courses combine theory with practical exercises and can be completed at your own pace.

Elements of AI

We define AI literacy as a set of competencies that enables individuals to critically evaluate AI technologies; communicate and collaborate effectively with AI; and use AI as a tool online, at home, and in the workplace. We conducted an extensive review of literature (see paper) and distilled a set of key AI literacy competencies and considerations for designing AI literacy learning interventions, which can be used to guide future educational initiatives as well as foster discussion and debate in the AI education field. This page lists and describes the competencies and design considerations that we have outlined.

AI Unplugged