Category Archives: AI

AI is Exacerbating the Need for Global Data Centres NOT Controlled By US Firms!

A recent post by Joël Collin-Demers on why Your LLM Doesn’t Need a US Passport pointed out two very important facts that you’re probably not aware of but should be:

1. Your company is feeding sensitive data to US-based LLMs every single day.

2. The US CLOUD Act lets American authorities demand data from any US-based provider REGARDLESS of where their servers sit in the world!

In other words, you’re giving the USA full access to all of your proprietary and confidential data anytime they want it — in full breach of your data localization laws if you’re NOT in the US and in a country with such laws (and if you’re not in the US and don’t yet have data localization laws to adhere to you will soon have such laws to deal with as a result of the US global over-reach for your data to feed its AI).

This is not just an AI problem (which, if you think you really need, you have other non-US options if you are not a US company as per Joel’s extensive list), it’s an overall SaaS/SaS problem. If you’re not a US company, you need to make sure that not only your data, but all of your applications (including, but not limited to, AI) are hosted in non-US owned data centres off of US soil without safe harbour agreements.

The Best Article Xavier Olivera Has Ever Written!

In what “good” looks like today, and what it enables next, Xavier writes:


The next phase of P2P evolution will not be defined by who adds the most AI features fastest. It will be defined by who builds systems that make better decisions easier, safer and more repeatable, without losing the discipline that P2P was designed to enforce in the first place.

Truer words have never been spoken, especially in the Age of AI hype where the A.S.S.H.O.L.E. floods us with AI BS faster than we’ve ever been flooded with tech propaganda before!

Gen-AI LLMs (which are now powering the AGI craze, because if the first offering flops, just tweak and relaunch it with a few new buzzwords and claim it just needed more time, processing power, and tweaking) are not intelligent. They’re not even reliable. Hallucinations are a core function, Predictions are based on data available, even if it’s incomplete, incorrect, or indicative of actions known to be wrong for the situation in question that is typically an exception to the rule (or pattern). And many actions that can be taken automatically by these systems can’t be reversed (as there is not only no mechanism, but when they trigger an external event, the ability to reverse an incorrect action is completely out of your control).

Given this harsh reality, while they can monitor and make suggestions on how to govern, they can not govern and they do not count as governance. Governance is the only way to get to better, safer, and repeatable decisions. In reality, these Gen-AI /AGIs count as risk. Any error made with respect to a commitment (transaction, obligation, contract, large financial transfer) is an error that increases organizational jeopardy!

Governance is predictability, determinism, explainability, and traceability. This is not modern LLM-based Gen-AI / AGI system, but a traditional RPA or modern ARPA system (where all suggested rule and workflow changes and adaptations to prevent a future exception from occurring must be approved by a human) where all actions are governed by unbreakable rules, all exceptions are approved by a human, and all actions are completely traceable and 100% explainable — with no lies.

Remember that when you’re looking for your next Procurement solution, or you’ll end up with one that is worse, more dangerous, and less repeatable than the last generation solution you have now. For example, let’s say you implement an agent that monitors the inbound email channel for supplier communications regarding payment instructions and invoices. A communication comes in requesting a change of banking details for a supplier. The IPs and source domain look good so the change, and the change is to another bank local to the supplier (that they did business with in the past), so the update is sent to the AP system. The next day, an invoice comes in from the supplier for 10 times the number of units on the last PO. It’s from a supplier where shipment quantities never match the PO and where the buyer always approves the discrepancies, so the invoice is automatically paid. The next day another request comes in to change the bank account back to the original. It also passes the AI’s sniff test, so it happens. No one notices that a multi-million dollar payment was made to a fake supplier on a fake invoice, until the real invoice comes in a few days later, gets rejected because the PO has been matched, and the supplier flags an issue two weeks later when its AR team finally gets around to processing the exception, the AP team investigates, tells the supplier an invoice was paid, a back and forth occurs, and when the supplier finally gets the “proof”, informs the buyer that is NOT their bank account. By now, over three weeks and a day have passed, and the funds are unrecoverable as the thieves transferred the money out of the country and closed the fake account the day the fake invoice was paid. This is the “governance” you’ll get from an unintelligent agentic solution (masquerading as an AI employee) that does everything on probabilities.

San Altman is definitely the P.T. Barnum of our age …

But to repeat claims (as per this Futurism article) that he’s the Bernie Madoff or Sam Bankman-Fried of our age without proving he has the IQ he says he has (which some of us don’t believe he has), or providing evidence he’s the world’s biggest sociopath (as that’s who you’d have to be to knowingly defraud major investment funds of hundred of billions of dollars, funds that likely hold the retirement funds of hundreds of millions of people) seems just a little unfair. After all, if Sam can barely code and misunderstands basic machine learning concepts, which I totally believe (as that would seem to be a fundamental requirement to believing AI actually works and is actually capable of intelligence in its current form), that would seem to indicate his IQ is on the low side and that he thus believes that his AI works and is actually intelligent.

If this is the case, then even though all of his investors will most likely eventually lose Billions (and likely Tens of Billions, and maybe Hundreds of Billions) of dollars on “AI” that will never work, it’s not fraud because he might actually be dumb enough to believe every word of what he’s selling. Fraud, like many major US crimes, requires intent (and, in Sam’s case, would require understanding what his firm’s offering actually does vs. what he seems to believe it does).

18 U.S. Code § 1341 starts off with “Whoever, having devised or INTENDing to devise any scheme or artifice to defraud, or for obtaining money or property by means of false or fraudulent pretenses …”. He didn’t devise the scheme of raising venture capital and private equity, so that doesn’t apply. If he believes his garbage actually delivers intelligence (even though it doesn’t), and will work better with bigger models and better data centres funded by the money he’s trying to raise (even though it won’t), he’s not intending to defraud either. Which means that he’s not a Madoff (who devised a Ponzi scheme with the intent to defraud) or a Sam Bankman-Fried (who willfully misused crypto funds for his hedge funds and pay personal debts).

He’s just a showman peddling his digital puppet theatre (who is blissfully unaware of how bad it is) and if you’re dumb enough to fall for it, that’s on you, not him!

If you’re looking for real fraud, maybe look to your federal government?

PS: I never thought I’d feel the need to defend an individual who I see as one of the biggest scourges of the digital age! But when there are a lots of individuals out there actively defrauding consumers with knowledge and intent every single day and getting away Scott free without any effort whatsoever to even formally recognize the fraud, that was a really unfair byline.

STOP USING AI FOR WRITING NOW! (BEFORE IT’S TOO LATE FOR YOU!)

If you think AI writing is becoming excellent, that’s the SIGN you should STOP using AI for writing immediately.

The reason you think this is multifold, and no part of it is good.

1) AI is too agreeable (and sycophantic)

(Source)

2) This increases your dependence on it

(Source)

3) Which leads not only to cognitive decline

(Source)

4) but cognitive surrender

(Source)

And as for the “I know how to use it, I’m in control” argument, that’s all BS. It’s an illusion because frequent use of AI BREAKS THE MOST RATIONAL OF THINKERS!

(Source)

You might think you’re guiding it, but it’s brainwashing you to accept without question the same derivative cr@p it always spits out because that’s all it can do. Remember, just because the token size is large enough for the LLM to generate grammatically proper English 99.999% of the time, that doesn’t mean there’s any logic or meaning to what it generates!

And yes, the doctor saw all of this coming, as he understood early on exactly what LLMs were and were not. That’s why SI has had a formal NO AI policy (as well as a NO AI BS policy) for a long time now (and never used AI)!

(You have to remember that, as humans, there is a relatively significant chance we will end up using a nursing home at some point in our lives in North America, with some estimates now putting that chance over 50%, and an ever greater chance that when we end up there, it will be [partially] due to mental decline, dementia, and similar conditions. We’re also suffering population stagnation, if not decline, in most western countries. As a result, it’s in our best interest to do everything we can to keep our mental faculties about us for as long as we can, because there’s barely enough health care workers to care for those who already need care as it is. Think seriously about what’s going to happen if, en-masse, society goes all-in on technology that is essentially turning us into drooling mindless idiots and greatly increasing the chances we become unable to care for ourselves immediately upon entering retirement … )

While Your Supply Chains Are Impacted by War, They are Not At War!

And just because autonomous AI has become a standard tool of the current conflicts, that doesn’t mean that autonomous AI should be a standard tool in your supply chains. AI, defined properly, most definitely should, but not autonomous AI. And even then, only with human oversight!

This rant is inspired by THE PROPHET who tells us that The War in Iran is an AI War. Your Procurement and Supply Chain War Should Be as Well. And, despite parts of it appearing in LinkedIn comments, it is being expanded and reposted now to emphasize our previous article (on Friday) that essentially stated YOU SHOULD NEVER TRUST YOUR AI.

First of all, procurement and supply chain management isn’t a war. It’s a tense conflict between buyer needs and supplier leverage, but not a war.

Secondly, the fact that “AI never stops for a coffee break or to complain about leave not being granted.” is not on its own a valid justification for using it.

Because, by the same token, it also doesn’t care if a strike accidentally hits a school and murders hundreds of innocent children. (Al Jazeera, BBC, and Haaretz)

Nor does it care if multiple civilians get killed in a drone strike just to relieve a human soldier of a guilty conscience as they didn’t order the killing of the target and make the decision that resulted in civilian deaths. (NPR, The Guardian, The Times of Israel)

Given that AI has no ethics and no real intelligence to evaluate a situation beyond data it is provided and the question it is asked, is it really good enough to plan an operation on its own? I’d say it is not. (And also that it was applied without a full understanding of its weak points and how to use it properly.) (And if you want a great post about how critical human command decisions are, check out Michael Salehi‘s post and how the right decision always requires judgement, experience, and accountability — which an AI does not have.)

This is why Anthropic wants some safeguards, why you should too, and why you should be just as careful about where and how you use it in your supply chain. There are two realities with AI:

Properly applied augmented intelligence is a gift from heaven.

If you take the augmented intelligence approach, it can process all the data, give you recommendations, give you a synopsis of the reasoning, and allow you to dig into that reasoning, ask questions about risk and indirect ramifications, and explore the broader picture when you need to.

AI is not human, not ethical, not flawless, and not responsible.

You still need to review the synopsis, dig in when something appears to be off (and even if it’s just an uneasy feeling — your “intuition” can often be just as valid as the AI output), and verify the decision. And often these tools will allow what would take weeks to be done in minutes. But sometimes you’ll find there isn’t enough data, and you won’t be able to act confidently right away.

Now, THE PROPHET didn’t like my response, and countered with a number of questions, which I gladly answered and will repeat here because two of those questions missed the point, and including them helps illustrate what the real questions are.

“Would you take action?”: Yes!
(I don’t care if you agree or disagree with my viewpoint, or THE PROPHET‘s viewpoint, as this is not the point.)

“Would you use all tools available?”: YES!
(Again, I don’t care if you agree or disagree with my viewpoint, or THE PROPHET‘s viewpoint, as this not the point either.)

“Would you trust the tools blindly?“: No!

“Would you rush them into deployment without proper field testing and safeguards?”: NO!

That’s the point. All the hype and promises are resulting in an implicit trust of AI when it should be “Trust … But Verify!“. It’s usually the omission of just one extra step, which is usually just a few minutes of extra human review, that is the difference between success and accuracy vs. failure and widespread destruction. And this is true both in war and in business decisions that impact your supply chain.

This is why I continue to so strongly caution against the use of “autonomous AI” when it is largely built on systems that are flawed at the core, where hallucinations are part of the core function, and one subtle change in a prompt or query can result in a completely different output.

The reality is that, while you need modern tech platforms, constant intelligence monitoring, and pre-defined mitigation strategies just to survive, you usually don’t need AI. (Or at least not the “AI” they are selling … which, as you guessed, isn’t “AI” at all.)

What you do need to do is prepare for AI. If you do that, which involves:

  • getting your data under control
  • building an infrastructure for connectivity, process, and data integration
  • updating your processes for modern environments
  • training your talent accordingly

You will find that you have

  • put data at the core of not just category strategy, but overall operations
  • expanded your definition of risk to include price, partners, and related information flows
  • identified where automation fits; where optimization, analytics, and machine learning fits; and where “AI” doesn’t actually add any additional value
  • figured out that Employees backed by Augmented Intelligence and agents with escalating, but still restricted in critical situations, automation privileges as they learn from those human are best
  • developed a much better understanding of multi-tier exposure
  • begun the process of transitioning to a new, alert, organizational state where you are continually monitoring, optimizing, and re-planning your supply chain in response to emerging disruptive threats … and, as Koray Köse (who we may have to start calling The Oracle due to the insightful nature of his posts) points out, this is where you need to be

… and this is everything THE PROPHET says you need. Most importantly, all of this just might be accomplished without any modern AI (and definitely no BS AI Employees) at all!