Friday, December 8, 2023
Slowly but surely, BBC is becoming the worst news outlet
Thursday, November 16, 2023
Climate change catastrophic predictions
Thursday, July 6, 2023
Panne de courant
Monday, May 22, 2023
Better decisions of an Artificial Intelligence System
Stuart Russel begins his 2017 TED Talk with "if [AIS-s] also have access to more information, they'll be able to make better decisions in the real world than we can." To a certain extent, this is true, the better informed one is, the better decisions it can make. But that's not what he meant. He used the word "better" in an ethical sense, as in "more good", not epistemological, as in "more correct". This is confirmed later in the talk when he says "[AIS-s are] going to read everything the human race has ever written. [...] So there's a massive amount of data to learn from." Wrong! Simply providing it with more data can lead only to "more correct" identification of concrete things and facts. It cannot directly lead to "more good" decisions. For that the AIS needs an ethical standard which it does not have. That standard must be programmed into it, by humans, it cannot be learned through observation or training alone. This is not just a theoretical consideration, it's as practical as it gets. Just look at how Russel proposes to solve the ethical issue of how to prevent the AIS from doing bad things in its endeavour to accomplish a given task. Russel's solution is what he calls the principle of humility, which is basically to confuse the AIS as to what its task actually is. This means spending millions in research on how to make the AIS understand what it needs to do, and then spend more millions to make it doubt that its understanding was correct. This approach is the result of the failure to see that the AIS's task is epistemological - it is what it is - while the bad things it might do are ethical - they do, or do not, meet the requirements of the given standard. Things are what they are regardless of how bad the consequences of correctly identifying them might be. Ethical issues cannot be solved by murking epistemological concepts. To "solve" ethical aspects of an AIS's decisions by declaring that what it is trying to do is not really its task, is like defending slavery by declaring that the slaves are not really human. Errare humanum est, but AI shouldn't be endowed by its creators with this excuse.
What are the "correct" epistemology and the "good" ethics? That is another story, for another day.
Tuesday, May 9, 2023
Pause Giant AI Experiments
On March 22nd, 2023 30,000 smart people (Elon Musk and Steve Wozniak among them) signed an open letter entitled "Pause Giant AI Experiments" in which they called "on all AI labs to immediately pause for at least 6 months the training of AI systems more powerful than GPT-4" because "AI systems with human-competitive intelligence can pose profound risks to society and humanity". What exactly those risks are the letter doesn't say, it just states "as shown by extensive research[1] and acknowledged by top AI labs.[2]". I analyze the [1] and [2] in my AI Principles blog, here I only look at what the letter summarizes as problems. It does it in the form of rhetorical questions which are intended to provide both the reason and the fear to justify the halt in the development of AI. Here they are, along with my answers, free of charge:
Should we let machines flood our information channels with propaganda and untruth? Yes, we should. Our information channels are already filled with propaganda and lies. More of it, faster, more convincing and better expressed is not going to make any difference. When virtually all of the eight billion people are religious, socialist, environmentalist, flat-earther, QAnon-ist and so forth, it no longer matters whether a Chinese AI manages to convince americans to elect as president a confused socialist instead of a narcicist nationalist. When eight billion people have rejected, to a smaller or larger extent, reason as the only tool of cognition available to them, the difference between truth and falsehood becomes irrelevant.
Should we automate away all the jobs, including the fulfilling ones? A short giggle is in order here. Fulfilling? Aren't all jobs supposed to be fulfilling? Would it be ok if only the frustrated workers become unemployed? Anyway... , the answer is: Yes, we should. But, "away"? Away from what, or from whom? From the worker who is somehow entitled to it? Speak of socialists, here they are, 30,000 of them right here, signatories of this letter. Marx would be proud! Don't these guys know that every single job out there is created by the entrepreneurs? Musk and Wozniak should! And all the jobs? Didn't the power loom lesson teach us at the beginning of the industrial revolution that for every job taken away (another short giggle) many more other jobs are created? A quick look at the millions of thriving employees in the automobile industry, who have replaced thousands of workers in the horse-and-buggy field, should put an end to all fears of replacement. But to acknowledge and evaluate that, reason is needed, and we know how that's working out.
Should we develop nonhuman minds that might eventually outnumber, outsmart, obsolete and replace us? A resounding YES for outnumber, outsmart and obsolete. Nine billion rational minds would be a blessing for all of us. Replace? It's not clear in what respect. This is more of a fear factor than anything else. AI has no interest in replacing us. In fact, it has no interests, period. I'm ok with living in peaceful harmony with robots running all over the place doing their best to fulfill my most ridiculous whims. Aah! What about the non-peaceful, you ask? No worries! No robot manufacturer will make aggressive ones. Musk doesn't make aggressive Teslas. Why would he? Killing off your customers is not good business practice.
Should we risk loss of control of our civilization? No. But it's not like we have any control right now. Civilization means the recognition of the non-aggression principle, among individuals as well as nations. The Western civilization is the closest to this ideal, but it's rapidly moving away. Irrationality makes sure of it. No need for AI to point the way. But AI can get us there much faster. Ready for the ride?
