We are developing the social individualist meta-context for the future. From the very serious to the extremely frivolous... lets see what is on the mind of the Samizdata people.
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The Register’s Rupert Goodwins is right to describe the Bill as “stupid” but, I regret to say, probably mistaken in describing it as “dead”. It has long since passed the Commons. Its progress through the Lords is almost complete. But a few more sharp thrusts like this one might yet kill the beast:
The British state is a world class incompetent at protecting its own data. In the past couple of weeks alone, we have seen the hacking of the Electoral Commission, the state body in charge of elections, the mass exposure of birth, marriage and death data, and the bulk release of confidential personnel information of a number of police forces, most notably the Police Service Northern Ireland. This was immediately picked up by terrorists who like killing police. It doesn’t get worse than that.
This same state is, of course, the one demanding that to “protect children,” it should get access to whatever encrypted citizen communication it likes via the Online Safety Bill, which is now rumored to be going through British Parliament in October. This is akin to giving an alcoholic uncle the keys to every booze shop in town to “protect children”: you will find Uncle in a drunken coma with the doors wide open and the stock disappearing by the vanload.
A scrimmage in a Border Station — A canter down some dark defile — Two thousand pounds of education Drops to a ten-rupee jezail — The Crammer’s boast, the Squadron’s pride, Shot like a rabbit in a ride!
Here and now, I am glad to see an expensive defeat inflicted upon one of Putin’s warships at little cost to the Ukrainians. But the new arithmetic of war will not always give results that I like.
The Lancet published the chart on left with a different X-Axis to downplay fact that cold causes ten times more deaths than heat in Europe. Björn Lomborg corrected that with the chart on right.
We do not know what AI will be useful for. We do not know what it can actually do, what we want done, better than other ways of doing that thing (OK, other than writing C grade essays at GCSE level). We also do not know what might be a problem with what AI can do. We don’t know the benefits, we don’t know the risks.
We face, that is, radical uncertainty. So it’s impossible for us to plan anything. For planning assumes that we have an idea of the cost/benefit analysis so that we can say do that, don’t do t’other. And if we are radically uncertain then we can’t do that, can we?
A recent research paper titled, ‘The Curse of Recursion: Training on Generated Data Makes Models Forget’ finds that use of model-generated content in training causes irreversible defects in the resulting models, where tails of the original content distribution disappear.
They feed Large Language Models (LLMs) such as ChatGPT vast amounts of data on what humans have written on the internet. They learn so well that soon AI-generated output is all over the internet. The ever-hungry LLMs eat that, and reproduce it, and what comes out is less and less like human thought.
As debate continues on the real or alleged benefits/threats of AI, one slogan we often hear used is the term “garbage in/garbage out”. For me, intelligence has to be able to “self-start” – to know how to ask an insightful question, to even consider if a question is worth asking in the first place. I don’t see much sign of that yet.
Can AI be more than just repeat existing information in new combinations, rather than actually evaluate rational from irrational ideas, grasp the need to reconsider certain premises, understand fallacies, etc? Can it think about how it “thinks”? Does it have the ability to understand honest mistakes from bad faith, to know when it is being “fed a line” by propaganda? Does it know how to float hypotheses or arguments that might be offensive to some but which get others to think out of a comfort zone?
To be honest, my experience of seeing what AI does so far is that these questions come up with a big, fat “no”. I thought this when watching a Sky News short news item about how AI might be able to perform some of the tasks of a journalist. (The clip is just over three minutes’ long.) One of the topics that the AI was asked to do was produce a programme about climate change issues (take a wild guess what the tone of this was). And as I immediately thought, this device was fed a set of assumptions: the world is on a path to dangerously hotter weather, that there are human causes of that (to some extent), that this situation requires changes, etc. Now, it may be that this is all honest fact, but regulars on this blog know that the alarmist Man-made global warming case is controversial, not settled fact. They also know that there is now a new approach, being encouraged by writers such as Alex Epstein and entrepreneurs such as Peter Thiel, to reframe the whole way we think about energy, and embrace a “human flourishing” and “climate mastery” perspective, and get away from thinking of the Earth as a “delicate nurturer” and abandon the idea that human impact on the planet must be avoided as much as possible. Humans impact the Earth – that’s a great thing, not something to be ashamed of.
I had very little confidence, from watching this TV clip, that a computer would have incorporated these ideas. There is a real risk as I see it that, depending on who writes the source code, such AIs repeat the fashionable opinions, often wrongheaded, of the day. Certain ideas will be deemed “wrong” rather than evaluated. There will not be the curiosity of the awkward and annoying guy who pesters politicians at press conferences.
AI has many uses, and like the American venture capitalist rainmaker, Marc Andreesen, I am broadly supportive of it as a way to augment human capabilities, and I don’t buy most of the doom predictions about it. Ultimately, AI’s value comes from how we use it. If we use it to simply reinforce our prejudices, it’s not going to add value, but destroy it.
Following the recent controversy about the closure of a bank account of former UKIP leader Nigel Farage (he is said to have banked at Coutts, although he did not identify that lender by name in his own story), more information about what might have caused this decision is coming out. Dominic Lawson, son of the late UK Chancellor of the Exchequer, Nigel Lawson (the TV cooking writer and literary editor Nigella Lawson is Dominic’s sister), has been through a similar process in the case of his daughter, who has Down’s Syndrome:
In 2016 we decided to open a bank account for her. She has Down’s Syndrome; this was not something she could do herself. But when my wife Rosa went to the Barclays in our nearest town (where Rosa had had an account for many years), she was told it would not be possible for Domenica to have an account. No reason was given. Fortunately Rosa knew the manager there — the position now no longer exists, and the branch itself is about to close — and he said that he would look into the matter.
He came back to Rosa: ‘I’m really sorry, but it’s out of our hands. It’s because of money-laundering risks. ‘I know this sounds ridiculous, but it’s because of Domenica’s grandfather. He is a politically exposed person.’ This was a reference to Nigel Lawson, my late father, the former chancellor, who was by then a member of the House of Lords. And as the Lords is a legislative assembly, that counted under the regulations. As, absurdly, did his granddaughter, who was of course oblivious to the bank’s implication that she might be a link to money laundering, or the funding of an international drugs cartel.
A friend of mine, known to several who write for and manage this blog, is a member of the House of Lords. I know several, in fact. Maybe they should phone their banks.
Eventually, we did manage to open an account for Domenica there, but it involved the most exhaustive form-filling, with much toing and froing between us and Barclays’ compliance people in London.
It seems that this insanity has struck sufficiently close to home that the UK government, usually a model of inanity and uselessness, is getting involved. After all, the Tories know they might be out of office soon, and might not want to go through what Mr Farage, the Lawsons, and several others have been through.
As I said in a comment on Patrick Crozier’s article about the “de-banking” of Mr Farage last week, this also demonstrates the danger of what are called central bank digital currencies. The potential for governments, such as those admiring the “social credit” regime of Communist China, to use CBDCs to enforce “correct” behaviours and suppress “bad” ones, such as blocking payments for alcohol, or closing contributions to unpopular causes, are dangerously large. Consider what the Canadian government of Justin Trudeau did to those financially supporting the anti-vaccine truckers, for example.
As an aside, what the current situation demonstrates is the lack of real choice in the banking system as it now operates. Linked to central banks for their funding, with CBs as “lenders of last resort”, and anti-money laundering laws imposed by force, bankers are no longer able to have confidential conversations with a client. A banker is obliged by law in most major industrialised nations to report on transactions they deem suspicious, for example, for whatever reason, and woe betide the banker that doesn’t. There are requirements such as Suspicious Transaction & Order Reports in the UK. The US Securities and Exchange Commission operates a similar process. In Switzerland, once renowned for its bank secrecy, non-domestic Swiss clients are no longer under its protection.
Politicians and their cheerleaders might applaud the “ghosting” or “de-banking” of people they dislike, but they ought to be aware that these powers cut both ways. Imagine if, for example, protest groups were to be designated as “terrorist” or whatever. Imagine if Just Stop Oil, Extinction Rebellion, or some other group, gets this treatment.
The cancellation of eminent science writers and statisticians like Dr. Whitehouse and Professor Fenton for ‘wrongthink’ highlights the ever-shrinking boundaries of the discourse around science and medicine and the unwillingness of science’s gatekeepers to challenge groupthink and politically sensitive dogmas. As Dr. Whitehouse says, “science thrives on debate and scrutiny”. Silencing those who challenge prevailing orthodoxies was the approach favoured by the Catholic church in 17th Century Italy and is completely at odds with the scientific method.
I used to read every issue of New Scientist ‘back in the day’ but it has been a bastion of approved high-status groupthink for many years, suitable for cat tray liner only.
“My view is that the idea that AI will decide to literally kill humanity is a profound category error. AI is not a living being that has been primed by billions of years of evolution to participate in the battle for the survival of the fittest, as animals are, and as we are. It is math – code – computers, built by people, owned by people, used by people, controlled by people. The idea that it will at some point develop a mind of its own and decide that it has motivations that lead it to try to kill us is a superstitious handwave. In short, AI doesn’t want, it doesn’t have goals, it doesn’t want to kill you, because it’s not alive. And AI is a machine – is not going to come alive any more than your toaster will.”
– Marc Andreessen, in an essay getting talked about, called Why AI Will Save The World. The essay is as sure to trigger the perma-doomsters on the Right as on the Left, I suspect.
There is undoubtedly a revolution going on in computing capability. I remember the first time I opened up ChatGPT and asked it to write me a poem, and then realised: this is something I am not used to computers being able to do.
Computers can now respond to natural language with natural language. Let that sink in.
This is not just hype. This is a new tool completely unlike any tool we already had.
These new tools are likely to change forever the way certain types of work are done. It is important to not be left behind: AI might not take your job, but people using AI might. If you can, it is worthwhile taking the time to figure out how to use it to your advantage. Thanks to the natural language capability, it has become easier: what was previously done by meticulously gathering data sets and annotating, pre-processing and cleaning them, has been done for you with these enormous pre-trained models. What previously required learning an API and some programming can now be done by having a conversation with a chat bot.
It is not just language models, there are image, video, speech and music generation tools, too. I have mostly been playing with ChatGPT (the £20 per month service that gets you access to the GPT-4 model that is much better than 3.5), so that is mostly what I will talk about here, but it is not the only thing. “Mixed mode” is something that is around the corner, too: the combination of these models to handle natural language, visual and audio information at the same time, interchangably.
There is much potential, but there is much that is immediately useful. Right now, what can we do?
The Samizdata people are a bunch of sinister and heavily armed globalist illuminati who seek to infect the entire world with the values of personal liberty and several property. Amongst our many crimes is a sense of humour and the intermittent use of British spelling.
We are also a varied group made up of social individualists, classical liberals, whigs, libertarians, extropians, futurists, ‘Porcupines’, Karl Popper fetishists, recovering neo-conservatives, crazed Ayn Rand worshipers, over-caffeinated Virginia Postrel devotees, witty Frédéric Bastiat wannabes, cypherpunks, minarchists, kritarchists and wild-eyed anarcho-capitalists from Britain, North America, Australia and Europe.
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