Hot on the heels of the AI-generated pizza ad Pepperoni Hug Spot, here’s a beer commercial from an artifical intelligence that clearly has never been invited to a back yard party:
There seem to be two versions of this ad online.One has Smash Mouth’s All Star as its backing track, while the other one (which is presented above) is on YouTube and is backed by generic southern rock-esque music — presumably to avoid getting a copyright “strike”.
As with Pepperoni Hug Spot, the visuals in the beer ad are located deep inside the uncanny valley:
I love No Starch Press’ Python books. They’re the textbooks I use when teaching the Python course at Computer Coach because they’re easy to read, explain things clearly, and have useful examples.
Consider these books recommended reading for the Tampa Artificial Intelligence Meetup, which is now under my management, and holding a meeting later this month!
Good news, creatives — if this completely AI-generated TV ad for a fictitious pizza place is any indication, you won’t be replaced by artificial intelligence just yet.
Just watch it. It’s so…off. The people’s eyes are off-kilter, the chef’s arm appears to be on fire, and the scenes of people eating pizza slices are so off that they will haunt my dreams from the next week.
Pepperoni Hug Spot is a TV ad created by a YouTuber (or group of YouTubers) going by the name “Pizza Later” using the following combination of AI tools:
Almost exactly three years ago and about a month into the pandemic, Startup Digest Tampa Bay published my article where I suggested that the 2020 pandemic might be hiding some world-changing innovations that we didn’t notice because of everything going on, just as the 2008 downturn did.
My article, titled Reasons for startups to be optimistic, was based on journalist Thomas Friedman’s theory: that 2007 was “one of the single greatest technological inflection points since Gutenberg…and we all completely missed it.” It’s an idea that he put forth in What the hell happened in 2007?, the second chapter of his 2016 book, Thank You for Being Late.
In case you’re wondering what the hell happened around 2007:
The short answer is “in the tech world, a lot.”
The medium-sized answer is this list: Airbnb, Android, the App Store, Bitcoin, Chrome, data bandwidth dropped in cost and gained in speed, Dell’s return, DNA sequencing got much cheaper, energy tech got cheaper, GitHub, Hadoop, Intel introduce non-silicon material into its chips, the internet crossed a billion users, the iPhone, Kindle, Macs switched to Intel chips, Netflix, networking switches jumped in speed and capacity, Python 3, Shopify, Spotify, Twitter, VMWare, Watson, the Wii, and YouTube.
It’s hard to spot a “golden age” when you’re living in it, and it may have been even more difficult to do so around 2007 and 2008 because of the distraction of the 2008 financial crisis.
In 2020 — 13 years after 2007 — we had the lockdowns and a general feeling of anxiety and isolation. I was about a week into unemployment when Murewa Olubela and Alex Abell approached me with an opportunity to write an article for Startup Digest Tampa Bay.
When ChatGPT was released in late November 2022, I showed it to friends and family, telling them that its underlying “engine” had been around for a couple of years. The GPT-3 model was released in 2020, but it went unnoticed by the world at large until OpenAI gave it a nice, user-friendly web interface.
That’s what got me thinking about my thesis that 2020 might be the start of a new era of initially-unnoticed innovation. I started counting backwards: 2007 is 13 years before 2020. What’s 13 years before 2007?
1981. That’s the year the IBM PC came out. While other desktop computers were already on the market — the Apple ][, Commodore PET, TRS-80 — this was the machine that put desktop computers in more offices and homes than any other. What’s 13 years before 1981?
1968. You don’t have any of the aforementioned innovations without the Mother of All Demos: Douglas Englebart’s demonstration of what you could do with computers, if they got powerful enough. He demonstrated the GUI, mouse, chording keyboard, word processing, hypertext, collaborative document editing, and revision control — and he did it Zoom-style, using a remote video setup!
With all that in mind, I created the infographic at the top of this article, showing the big leaps that have happened every 13 years since 1968.
If you’re feeling bad about having missed the opportunities of the desktop revolution, the internet revolution, or the smartphone revolution, consider this: It’s 1968, 1981, 1994, and 2007 all over again. We’re at the start of the AI revolution right now. What are you going to do?
Worth watching
The Mother of All Demos (1968): What Douglas Englebart demonstrates is everyday stuff now, but back when computers were rare and filled whole rooms, this was science fiction stuff:
The iPhone Stevenote (2007): Steve Jobs didn’t just introduce a category-defining device, he also gave a master class in presentations:
What the hell happened in 2007? (2017): Thomas Friedman puts a chapter from his book into lecture form and explains why 2007 may have been the single greatest tech inflection point:
Here’s the money quote from his lecture:
I think what happened in 2007 was an explosion of energy — a release of energy — into the hands of men, women, and machines the likes of which we have never seen, and it changed four kinds of power overnight.
It changed the power of one: what one person can do as a maker or breaker is a difference of degree; that’s a difference of kind. We have a president in America who can sit in his pajamas in the White House and tweet to a billion people around the world without an editor, a libel lawyer or a filter. But here’s what’s really scary: the head of ISIS can do the same from Raqqa province in Syria. The power of one has really changed.
The power of machines have changed. Machines are acquiring all five senses. We’ve never lived in a world where machines have all five senses. We crossed that line in February 2011, on of all places, a game show in America. The show called Jeopardy, and there were three contestants. Two were the all-time Jeopardy champions, and the third contestant simply went by his last name: Mr. Watson. Mr. Watson, of course, was an IBM computer. Mr. Watson passed on the first question, but he buzzed in before the two humans on the second question. The question was “It’s worn on the foot of a horse and used by a dealer in a casino.” And in under 2.5 second, Mr. Watson answered in perfect Jeopardy style, “What is a shoe?” And for the first time, a cognitive computer figured out a ton faster than a human. And the world kind of hasn’t been the same since.
It’s changed the power of many. We, as a collective, because we’ve got these amplified powers now, we are now the biggest forcing function on and in nature — which is why the new geological era is being named for us: the anthropocene.
And lastly, it changed the power of flows. Ideas now flow and circulate and change, at a pace we’ve never seen before. Six years ago, Barack Obama said marriage is between a man and a woman. Today, he says, bless it so, in my view marriage is between any two people who love each other. And he followed Ireland in that position! Ideas now flow and change and circulate at a speed never seen before.
Well, my view is that these four changes in power: they’re not changing your world; they’re reshaping your world, the world you’re going to go into. And they’re reshaping these five realms: politics, geopolitics, the workplace, ethics, and community.
Worth attending
Yup, I’m tooting my own horn here, but that’s one of the reasons why Global Nerdy exists! I’m the new organizer of Tampa Bay Artificial Intelligence Meetup, and it’s restarting with a number of hands-on workshops.
Swift (or more accurately, the Foundation framework from which Swift gets its date and time classes) gets a bad rap for complex date and time programming, but that’s because date and time programming is complex, and many programmers have erroneous ideas on the topic.
This blog used to be home to a four-part series on date and time programming in Swift. I’ve recently updated that series and moved it to the Auth0 Developer Blog (the one that has much greater reach and also pays my mortgage). It’s also a four-parter:
I’m the new organizer of the Tampa Artificial Intelligence Meetup, a meetup that started way back on June 7, 2017 at its inaugural meetup — which I happened to attend!
Here are some photos from that kick-off meeting, featuring original host Dan Daniels at the head of the room:
Since then, the Tampa Artificial Intelligence Meetup has held dozens of gatherings over the years, ranging from presentations to discussions to study groups.
After the two-year pause from the pandemic, it’s time to get the meetup started again. I’ve been made Tampa Artificial Intelligence Meetup’s organizer with the blessing of organizers Sam Kasimalla, Lenar Mukhamadiev, and OG organizer Stan Liberatore, who remain co-organizers. I’ve also added my partner in life and tech, Anitra Pavka to the co-organizers, as she will provide invaluable assistance in restarting the meetups.
What’s happening at the next Tampa Artificial Intelligence Meetups?
I thought we’d start with a bang and code ELIZA, the very first chatbot, developed between 1964 and 1966 at MIT by Dr. Joseph Weizenbaum. It simulates a Rogerian therapist, using pattern matching to reflect what the patient says back at them or gets the patient to talk about what they just said.
ELIZA was created by computer scientist Joseph Weizenbaum at MIT’s Artificial Intelligence Lab over a two-year period from 1964 to 1966:
It simulated a psychotherapist that reflects what the patient says back at them or gets the patient to talk about what they just said. Although it was written for the IBM 7094, a room-sized computer whose operator console is pictured below…
…it later became a popular program on home computers in the 1980s under the name “Eliza” or “Doctor”:
We’ll build ELIZA — in Python. I’ll give you a “starter” project, and you’ll code along with me in real time until you have a working Eliza version that you could tweak into your own chatbot.
You wouldn’t need the latest and greatest computer to do it, either! A laptop from 2010 (and remember, that’s 13 years ago now!) or later would be all you’d need.
When will it happen?
Sometime in May. I’m working on securing a venue, and I’ll announce a date, time and location once we have one.