More than 10 years ago, my company tried to do facial recognition in an airport in Europe, for their security service. Alas, they didn't know about the "birthday paradox", and tried to match about 1,000 criminals against several thousand passengers. They shut it down when the system identified someone's grandmother as a male member of the Baader-Meinhof gang.

The (birthday) paradox is caused by trying to match each passenger against 1,000 criminals, not just one. Even with only a 1% error rate, there will be 10 false positives and negatives per passenger. And we don't have anything like a 1% error rate.

We need a 1/infinity error rate (:-)) Otherwise innocent grandmothers will be pulled aside, while actual criminals will breeze on through.

Its security is deliberately hard to engage. Instead, it's an "attractive nuisance", a fine way to communicate your complaints about a certain government to your friends, and be sure they are brought to the attention of that country's security service (:-))

Alas, HR departments will wonder why they're getting fewer and fewer applications. Only if hiring manager need to sign off on ads for their positions will one have a good chance of getting a valid skills list and job description.

My company used to own a headhunter. We had to have a co-op student train them on AND and OR before we dared use them for our own job postings. Their training doesn't prepare them for hiring people with skills.

Previous folks announced they had AI, talking about
- rule-based systems written in lisp and prolog
- machine-learning systems written in math and stats
- large language learning-models written in harder-to-evaluate math

All but the last was massively different from the previous.

I'll therefor be waiting to see another massive change before I believe they've made an advance toward AGI. Right now they're at MachineLearning++ running on ArrayProce$$or$++.

Consider a few examples of successful forks:

• - LibreOffice -formerly OpenOffice, formerly StarOffice
• - OpenStreetMap -growing Google Maps replacement
• - OpenTofu - fork of Terraform
• - KeyDB - Redis alternative
• - OpenSearch (AWS-backed) - Elasticsearch alternative

The scholarly publishing ecosystem runs largely on unpaid academic labour. Give that, I wonder if a university press or three should pick up the task of publishing academic journals, and incidentally using some of those profits to improve the journal's quality. By paying editors.

The effects were predicted, and the proponents went on and did it anyway.
The result? it's exactly what they planned.

Maybe ask your lawyer if this can be prosecuted as perjury, based on the statements emailed to you.