Showing posts with label AI/ML. Show all posts
Showing posts with label AI/ML. Show all posts

Friday, August 7, 2026

I Covered the Last Technology Revolution. Here's What It Taught Me About This One.

I wrote about MCX fifty times.

Fifty posts about a payments consortium most people have never heard of. Forty-four more about CurrentC, the app it was building. Sixty-nine about beacons, sixty about iBeacon specifically. Sixty-five about Apple Pay. Between 2013 and 2019 I published nearly a thousand posts on this site, and a large share of them were about how you were going to pay for things in the future.

Almost none of it happened.

I'm not bringing that up to be clever. I believed a good deal of it at the time, and the record is right here — you can scroll back and check. I'm bringing it up because I've now watched one technology cycle run the whole distance, from the launch announcements to the quiet obituaries, and I wrote it down as it went. That turns out to be a useful thing to have done, because another one is happening right now and it rhymes.

What everybody knew

In 2014, here is what everybody knew.

The physical wallet was finished. Within five years you would pay for everything with your phone. Retailers would know you had walked into the store before you reached the second aisle, because small Bluetooth transmitters — beacons — would be stuck to the shelves, talking to an app in your pocket. Your coupons would find you. The checkout line would dissolve.

This wasn't a fringe position. It was the consensus of an entire industry. Forrester published on it. Business Insider published on it. I published on it, constantly.

And the biggest retailers in America were not going to let Apple own it. So Walmart, Target, Best Buy, CVS, Sears, Kohl's and about fifty others formed a consortium — the Merchant Customer Exchange — and built their own payment app called CurrentC. It used QR codes instead of the NFC chip in your phone. It drew money straight from your bank account instead of a card, which cut the card networks out of the transaction and saved the merchants the interchange fee.

Some of the participating retailers signed exclusivity terms and switched off the NFC readers already sitting on their counters. You could not use Apple Pay at those stores. That was the point.

Meanwhile, the wireless carriers had their own entry — ISIS, which had to be renamed Softcard for reasons that became obvious in 2014.

Enormous companies. Enormous budgets. A genuine strategic rationale. Years of runway.

What actually happened

Softcard was bought for its patents and shut down inside of a year.

CurrentC never made it out of a pilot. MCX — the combined weight of the American retail industry — wound down without shipping a product at national scale. Paydiant, the company that built its technology, got absorbed by PayPal.

The beacons mostly came off the shelves. Walk into a store today and count them.

Apple Pay survived. So did the other phone wallets. But not in the form anyone described in 2014 — they became a slightly faster way to use the same credit card you already had, running on the same card networks that MCX was formed to escape. The revolution shipped as a convenience feature.

And here's the part that took me longest to see: the failures were not total either. Walmart shipped Walmart Pay in 2016. It uses QR codes, runs through the merchant's own app, and it works. The proximity technology behind beacons didn't disappear; it dissolved into store apps and order-ahead pickup, where nobody calls it a beacon and nobody writes think pieces about it.

Nothing was transformed. Nothing collapsed. Everything got absorbed, quietly, in a smaller and less interesting shape than either side predicted.

Three things I'd tell my 2014 self

**One: ask whose problem it solves, and then ask who is being asked to adopt it.**

CurrentC existed because merchants wanted to stop paying interchange fees. That is a real problem — for merchants. It was then packaged as a consumer product and handed to shoppers who were asked to link their checking account to a QR-code app in exchange for approximately nothing.

Apple Pay solved a customer's problem, badly and marginally, but it solved a customer's problem. That was the whole difference. Not the technology. Not the money.

When the party that benefits and the party that has to adopt are different people, the adoption doesn't happen — no matter how much capital is behind it.

I would now ask that question of every enterprise AI deployment I read about. A tool sold as productivity for the worker, purchased by an executive who has been shown a headcount projection, is not a productivity tool. It's a CurrentC. The person asked to adopt it can generally tell.

**Two: a consortium is a tell.**

I read MCX as a show of force. The largest retailers in the country, aligned. How do you beat that?

I had it backwards. Companies that are winning don't form consortia. They ship. A consortium is what happens when a group of incumbents is frightened of the same thing and would rather coordinate a defense than compete. It's a lagging indicator of fear, and it moves at the speed of its slowest committee.

I now read industry alliances, joint standards bodies, and shared-principles announcements in that light. Sometimes they're substantive. More often they're the sound of large organizations trying to slow something down.

**Three: the honest forecast is boring, and nobody rewards it.**

The two loud positions in 2014 were "this changes everything" and "this is a bubble." Both were wrong, and both were more fun to write than what actually occurred, which was: *some of this gets absorbed into ordinary practice over about eight years, in a form that isn't very exciting, and the interesting question turns out to be who captures the money.*

Nobody clicks that. I know, because I mostly didn't write it.

What I got wrong

I want to be specific, because a retrospective where the author turns out to have been right is worthless.

I gave beacons far more coverage than they earned. Sixty-nine posts. I was persuaded by the demos, and demos are designed to persuade. I did not ask often enough what a shopper actually gained from being detected.

I treated the MCX-versus-Apple story as the main event for years. It was a sideshow. The main event was that payments are a network business, and the networks were never in danger from any of it.

And I mistook activity for progress. Pilots, partnerships, press releases, conference keynotes — I covered all of it as though motion were the same as traction. A great deal of what I wrote is a record of an industry talking to itself.

So what does this say about AI

I want to be careful here, because the easy move is to say "AI is CurrentC" and collect the applause. I don't think that. Something real is happening — I've written about the job numbers, and I don't think they're noise.

But I'd ask three questions before accepting any confident claim about where this goes.

**Who benefits, and who has to adopt?** Where those are the same person, expect it to stick. Where they diverge, expect friction that the projections don't include, and expect the people making the projections to describe that friction as resistance to change.

**Is this shipping, or is this being announced?** Pilots are not deployment. Partnerships are not revenue. I spent years failing to make that distinction and it cost me most of my accuracy.

**Who is telling me, and what do they hold?** In 2014 the loudest voices about payments were the ones with balance sheets riding on the outcome. That is at least as true now, in both directions — the people forecasting total transformation and the people forecasting collapse are, in the main, positioned.

The one thing I'd bet on

Not that AI fails. Not that it transforms everything.

That the technology question resolves faster than the distributional one, and that the distributional one is the whole thing.

Mobile payments got sorted out inside a decade. The card networks kept the interchange. That was never a technical question, and no amount of engineering was going to change it, because it was a question about who had leverage.

The AI conversation is currently being conducted almost entirely in the language of capability — what it can do, how fast, how soon. Capability will be settled. Who absorbs the cost of the transition, and who keeps the gains, will not be settled by capability at all.

I watched an industry spend five years and an enormous amount of money arguing about technology when the argument was actually about money. I'd rather not watch it twice without saying so.

 J.W. Gant

Tuesday, June 4, 2024

AI Coming for Professional Jobs

 Coming?

Recent reports show it is already happening but we can't measure the impact yet. Those benefitting, meaning the money interest behind it, will minimize the numbers to ensure complacency. Those worried about it might inflate the numbers through ignorance.

What happens next?

Here is a little story that wonders about that, with an informed view based on past experience. It has a paywall.

https://www.washingtonpost.com/opinions/2024/04/29/ai-professional-class-low-skill-jobs/

Here is a snippet from that piece:

As a Bloomberg News headline put it in February, “AI Is Driving More Layoffs Than Companies Want to Admit.” And though the numbers aren’t enormous — Bloomberg cites one source that found 4,600 AI-related layoffs during the previous nine months — that’s a pretty big number considering that ChatGPT was released to the public only in November 2022. It’s going to get bigger still.

...

But if so, we are also likely to see a revolt of the educated people who are losing ground, similar to the revolt that led the working class to embrace protectionism — and Donald Trump. Or at least that’s how it seems to me when I try to imagine the upper middle class offering their own kids the advice they’ve so liberally dispensed to working-class men: “I’m sorry, but the jobs your parents had aren’t going to be around, and it’s time to face reality and look for steady work in food service or a warehouse.”


“I’d be fine with that!” some educated parent will inevitably write me, “as long as they have good health insurance and a strong social safety net.” I applaud those public-minded people, but, realistically, I doubt they’re the majority. For most upper-middle-class families, I expect there will be a lot of outrage and fear, and demands that the government do something to help them maintain their position and pass what they have onto their children.

Happy Reading,

J.W. Gant

PS The world's richest man recently declared all work will be eliminated for AI.

Wednesday, May 15, 2024

Tech Sector Job Bloodbath Continues

 The head economist at Moody's was recently quoted in a Washington Post article as saying, roughly, "The American form of capitalism is ruthless in how it reallocates resources."

That means layoffs. Means lives destroyed so shareholder value can be maximized.

Since the Federal Reserve began raising interest rates to battle inflation the business calculation to invest in tech and speculate has shifted and now the companies who employed those workers have to adjust to meet the numbers Wall Street expects of them. Executives, heavily incentivized to meet Wall Street demands, are culling the work force at these companies to cut costs--the only avenue remaining when growth options are limited. The U.S. lags behind other western democracies in protecting workers--read, people who don't hold enormous loads of capital, money--so these kinds of wave layoffs are only possible in this country.

The bloodbath started early in 2023 and continue.

Here is an article detailing how ex-Googlers are handling it:

https://www.nbcnews.com/business/economy/tech-workers-layoffs-job-cuts-careers-rcna141735

Here is a snippet from that piece:

“There was a time when working in tech seemed like the most stable career you could have,” said Ayomi Samaraweera, who was laid off as chief of staff at the content creator platform Jellysmack in December 2022. After about 10 years in the industry, she said, “tech does not seem safe and secure.”

Here is an article announcing yet another round of layoffs at Google:

https://siliconangle.com/2024/04/17/google-announces-second-major-round-layoffs-year/ 

Here is an article tracking the major layoffs in tech:

https://techcrunch.com/2024/05/07/tech-layoffs-2023-list/

Here is a snippet from that piece:

The tech layoff wave is still going strong in 2024. Following significant workforce reductions in 2022 and 2023, this year has already seen 60,000 job cuts across 254 companies, according to independent layoffs tracker Layoffs.fyi. Companies like Tesla, Amazon, Google, TikTok, Snap and Microsoft have conducted sizable layoffs in the first months of 2024. Smaller-sized startups have also seen a fair amount of cuts, and in some cases, have shut down operations altogether.

If you are fortunate enough to have a chair during this gigantic game of musical chairs, where more than a half a million are outside looking in trying to survive, please consider others.

The society we live in is a choice. We can choose to stay on the current path, or deviate. The evidence strongly suggests the current path only benefits a very small portion of society and is creating waves of destruction for the majority of society. We should consider the alternatives.

Happy Reading,

J.W. Gant






Monday, May 13, 2024

BRotD Entry 0268 - The Looming Social Upheaval from AI

Best Reading of the Day

The article frames the discussion as a lack of preparedness by politicians for the coming AI revolution, that some refer to as the third industrial revolution.

The U.S. is a democracy with a system of laws for governing. Free market people will say it is as it should be. Keep politicos and their regulations out.

What will come of it?

Here is the complete article:

https://www.cnn.com/2024/05/13/investing/premarket-stocks-trading/index.html

Here are a few snippets from the piece, that is a lengthy interview with economist Glenn Hubbard.

Glenn Hubbard is worried the United States isn’t ready to accept the disruptions that come along with [the coming AI revolution] 

...

Over the past three or four decades, technological change and some globalization has caused a slow-mo disruption of the job market and communities around the country. Now look at AI, we’re going to have that same disruption except it’s going to be much faster. We’re talking about five years, not 30.

...

Social support for our system is unraveling and it’s been unraveling for a while. There are many communities and many groups of individuals who don’t really feel like contemporary capitalism is serving them well. And the longer we let that go, we’re really running the risk of killing the golden goose.

That last part really struck me.

We have literally seen the populace of the U.S. rise up with pitchforks and torches to overthrow our current system (January 6 Capital Riots). Income inequality and wealth disparity, inherent in capitalism, have been growing rapidly for decades and is well-known to be a source to destabilize a society. 

When will the people of the U.S. wake up? The younger generation is already moving rapidly anti-capitalist and pro-socialism because of where we are. A sea-change is coming. I see tumultuous times ahead.

Happy Reading,

J.W. Gant

Tuesday, April 30, 2024

BRotD Entry 0267 - Major League Baseball and AI

Best Reading of the Day

 Data is the currency of sports in the modern era. 

We have seen the major leagues transformed over the last two decades--moneyball in baseball--and the effort is ongoing and continuous.

The latest is AI-driven analysis of extreme video footage of baseball players: both pitchers and hitters.

This story is eye-opening:

https://www.washingtonpost.com/opinions/2024/04/10/op-moneyballai/

Here is a snippet from the piece.

Boddy [the owner of the data company] and his engineering team now rely on AI to blend dozens of data streams to create customized coaching regimens. I cannot emphasize enough how little this is like your weekly personal training session. Video analysis breaks down individual muscles and movements by the inch. Hardware (bats and balls) is equipped with software (sensors) that tracks every baseball action and renders them into equations that measure force and torque. Like all data-gobbling AI software, the process gets smarter as it goes; Driveline has collected enough historical performance data that it can correlate five non-baseball related physical tests into dead solid predictions of fastball velocity and bat speed.


Even in its infancy, Driveline helped Bauer become one of baseball’s best pitchers. 

The most shocking part of the story? This is coming for all of our jobs yet almost none of us will be able to afford to protect our data from our employers. The conclusion of this piece is telling:

“I have friends who are lawyers and prop traders, and it’s shocking to me how far ahead sports is when it comes to these technologies,” says Boddy. “A lot of them don’t see what’s coming.” 

Got your attention yet?

Happy Reading,

J.W. Gant

Monday, February 5, 2024

BRotD Entry 0266 - AI Deepfake Scam for Twenty Five Million Dollars

 Best Reading of the Day

Oh boy.

A sophisticated phishing scam hit a Hong Kong company - as yet undisclosed - and convinced an employee to move HK$200 Million, or about $25 USD Million, to a variety of banks.

Deep fake technology, including accurate voices, on a video conference call simulated the Chief Financial Officer and a number of other employees and convinced the real life employee to make the transfer.

Phew!

The days of shootouts in banks are way behind us.

Here's the story:

arstechnica.com -first-of-its-kind-ai-heist/

And here is a snippet from that piece:

The scam was initially uncovered following a phishing attempt, when an employee in the finance department of the company's Hong Kong branch received what seemed to be a phishing message, purportedly from the company’s UK-based chief financial officer, instructing them to execute a secret transaction. 

Happy Reading,

J.W. Gant

Wednesday, June 7, 2023

Will AI Save the World?

 Technological advances are driven by a few things such as need.

In Product Management we talk about Jobs, Pains and Gains.

Someone has some kind of "job" they want done and will consider hiring a solution to that job such as a bagel for breakfast.

Someone has a "pain" of some kind and a solution to that pain is valuable. Such as an unstable form of high explosive like nitroglycerin causing death and uncertainty, eventually replaced by TNT, a stable high explosive.  Of course, this led to artillery shells and the massive loss of life in The Great War (WWI).

Someone has a "gain" they wish to realize such as revenue and will consider your solution to help them.

Artificial Intelligence advances are being driven by these and other reasons such as intellectual curiosity, scientific curiosity, etc. Will all of AI be of benefit to humankind?  Will all of it be to the detriment of human kind?  This little writeup, by a capital management firm (hmm, does this writer perhaps have motivations for writing something like this?) says AI will save the world. 

Will it?

You decide?

Here is the article:

/ai-will-save-the-world/

And here is a blurb from that piece:

What AI offers us is the opportunity to profoundly augment human intelligence to make all of these outcomes of intelligence – and many others, from the creation of new medicines to ways to solve climate change to technologies to reach the stars – much, much better from here.
AI augmentation of human intelligence has already started – AI is already around us in the form of computer control systems of many kinds, is now rapidly escalating with AI Large Language Models like ChatGPT, and will accelerate very quickly from here – if we let it.

Happy Reading,

J.W. Gant

Tuesday, May 30, 2023

The Danger of General Artificial Intelligence

 The sci-fi stories are becoming reality, becoming whispers at water coolers, becoming the nightmares of researchers at AI labs, becoming a voice in the halls of Congress, becoming a shout, and becoming a clarion call.

AI could kill us all.

That is the conclusion of the top minds in Artificial Intelligence.  Even the skeptics generally say it only "might" kill us all.

Might?

Time to hit the pause button?

Here is a Time article on the subject:

We Are Not Doing Enough to Stop General AI

Here is a snippet from that piece:

We are not prepared. We are not on course to be prepared in any reasonable time window. There is no plan. Progress in AI capabilities is running vastly, vastly ahead of progress in AI alignment or even progress in understanding what the hell is going on inside those systems. If we actually do this, we are all going to die.

Here is a recent 

AI Poses an Extinction Risk

Here is a snippet from that piece:

Leaders from OpenAI, Google Deepmind, Anthropic and other A.I. labs warn that future systems could be as deadly as pandemics and nuclear weapons.

Wow.

Then I think of The Great Filter that I wrote about in this blog and I wonder if we are really on this planet, if our purpose in life, is to create an intelligence greater than ours.  And I wonder, what happens after that?

Happy Tuesday. :-)

Best Regards,

J.W. Gant


Saturday, February 25, 2023

The New AI and ChatGPT

 AI

Artificial Intelligence

ML

Machine Learning

No it is not coming for your job but will rather augment what you do today.

More on that in a moment.

Here is a quick story about a Sci-fi magazine that had to close submissions because of the swarm of AI written material:

https://arstechnica.com/information-technology/2023/02/sci-fi-becomes-real-as-renowned-magazine-closes-submissions-due-to-ai-writers/

Here is a blurb about 

https://arstechnica.com/information-technology/2023/02/generative-ai-is-coming-for-the-lawyers/

... and a quick clip from that one ...

“Legal document drafting can be a very labor-intensive task that AI seems to be able to grasp quite well. Contracts, policies, and other legal documents tend to be normative, so AI's capabilities in gathering and synthesizing information can do a lot of heavy lifting.”

The strength of AI is in the performance of repetitive tasks.  You can visualize this as a machine in say an assembly line of a car. Where do we put robots today? Highly repetitive tasks of a very uniform standard nature.  Yes. Now take that to the intellectual world such as writing (see above) and apply the same concept. However it cannot fully replace the human in the task.

There is a lot of space there in the world to fill in the work with machines. It is already happening and has been happening for centuries.  Think of washing machines for your laundry. We used to do all the work washing each item of clothing by hand. Now the human manages the machine that does the grunt work of washing. The human is still present.

Tomorrow (today) we will have new jobs that manage the AI to ensure it is staying on task and target. Some jobs will go away, some will be created, some groups of people will gain, and some will lose. 

The wealthiest in the world see two solutions to staying ahead in the coming decades: capital and creativity.  All else will become tertiary.

Best,

J.W. Gant


Thursday, December 22, 2022

AI and Beethoven's 10th

 Yes.

His tenth.

But he only has nine you say.

Yes, but he had many sketches for his tenth at the time of his death.

So what?

Yes, we can never know exactly what he would have created had he finished it but we can gleam something from it, through Artificial Intelligence.

AI works through a process of cognition through a hero sketch and repetition, followed by an execution effort.

So we might take a very clear photo of a person, teach the AI system who that person is, then run thousands of video files through it to find instances where a person is in the frame who looks like that hero photo.

With Beethoven we have nine completed symphonies to teach the AI and a sketch of the tenth.  Why not finish it?

Here is a brief history of the 10th as it was prior to AI:

https://en.wikipedia.org/wiki/Symphony_No._10_(Beethoven/Cooper)

And here is a story about he completion of the 10th using AI:

https://www.smithsonianmag.com/innovation/how-artificial-intelligence-completed-beethovens-unfinished-10th-symphony-180978753/

Here is a snippet from that piece:

The task at hand eventually crystallized. We would need to use notes and completed compositions from Beethoven’s entire body of work - along with the available sketches from the Tenth Symphony - to create something that Beethoven himself might have written.

This was a tremendous challenge. We didn’t have a machine that we could feed sketches to, push a button and have it spit out a symphony. Most A.I. available at the time couldn’t continue an uncompleted piece of music beyond a few additional seconds.

Best,

J.W. Gant

BRotD Entry 0264 - Car Sensors Focused on Humans

We have sensors for many things in the systems we use, the devices.  Many of our devices are quite personalized.  "Siri, when do the RedSox play again?"  Our voice is known, our location, our history, all kinds of things unique to "you" are known by the AI and used (for convenience, and, to sell you things).

Cars spend all their time monitoring the road and other drivers.  What about the driver in the car? You? 

Referred to as human-centric sensors. The idea is for the system to know the human as well as so many other devices and systems do.

Read more here:

https://europe.autonews.com/guest-columnist/get-ready-wave-human-centric-sensors

Here is a snippet from that piece:

But this dynamic is changing because of the growing popularity of driver monitoring systems (DMS) that add AI-powered intelligent safety features to cars, which can detect the state and behavior of drivers.

For example, DMS can determine if a driver is experiencing symptoms of sickness or nausea and course correct the in-vehicle experience through controls such as regulating air conditioning or releasing aromatherapy, just as cruise control slows down or speeds up the vehicle depending on real-time sensor inputs.

All the best,

J.W. Gant


Thursday, September 30, 2021

BRotD - Entry 0263 Artificial Intelligence an Beethoven's 10th

Hello and welcome after a lengthy hiatus blogging!


The 'Best Reading of the Day' articles are intended to highlight useful and interesting stories I have found in technology. The domains can be quite disparate and are intended to shed light on how tech is being used.

Today's really caught my eye because of the two subjects it captures: AI and Beethoven. His 9th Symphony (a choral) is probably the best ever and my favorite. 

Turns out he had sketches of a 10th Symphony but did not complete it before his passing. Well, AI has "learned" his style of writing, taking simple movements and expanding them to whole movements, and has completed the symphony. To be released on October 9th, 2021. 

Wow!

Read more:

AI Completes the 10th

This is an amazing story!

J.W. Gant