Comments on: Book review: Susskind’s ‘How To Think About AI’  https://www.legalcheek.com/2025/05/book-review-susskinds-how-to-think-about-ai/ Legal news, insider insight and careers advice Fri, 09 May 2025 08:53:42 +0000 hourly 1 https://wordpress.org/?v=6.8.2 By: Anonynon https://www.legalcheek.com/2025/05/book-review-susskinds-how-to-think-about-ai/#comment-1214062 Fri, 09 May 2025 08:53:42 +0000 https://www.legalcheek.com/?p=219260#comment-1214062 In reply to Anon.

Re ~10% trainee intake making partner. Also consider that around 70% of many firms’ trainee intakes are female. A high proportion move in-house or drop out of the workforce after having kids. So the odds of male trainees making partner is much higher than you quote. But you’re right that it takes longer now. That’s compensated for to an extent by the higher assoc salaries.

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By: Anon https://www.legalcheek.com/2025/05/book-review-susskinds-how-to-think-about-ai/#comment-1213952 Thu, 08 May 2025 18:36:00 +0000 https://www.legalcheek.com/?p=219260#comment-1213952 In reply to Hmmm.

That’s partly true, but who those Associates are has changed.

Back when I qualified (2005) if you weren’t a partner by 7/8 PQE you were over the hill. Most of my trainee supervisors (about the same as now, 3-6 PQE at the time) were full equity by the time I was 3 years qualified. This was at an MC firm. Nowadays people are getting made up at 10-12 PQE and the number making it is ~10% of a trainee intake.

So Associate pay has gone up but the real money is getting further away and harder to get into. It would be incredibly rare now for a trainee at a firm that size to have 3 supervisors who were all equity before 10 PQE, not so back then.

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By: Grant Castillou https://www.legalcheek.com/2025/05/book-review-susskinds-how-to-think-about-ai/#comment-1213935 Thu, 08 May 2025 16:33:55 +0000 https://www.legalcheek.com/?p=219260#comment-1213935 It’s becoming clear that with all the brain and consciousness theories out there, the proof will be in the pudding. By this I mean, can any particular theory be used to create a human adult level conscious machine. My bet is on the late Gerald Edelman’s Extended Theory of Neuronal Group Selection. The lead group in robotics based on this theory is the Neurorobotics Lab at UC at Irvine. Dr. Edelman distinguished between primary consciousness, which came first in evolution, and that humans share with other conscious animals, and higher order consciousness, which came to only humans with the acquisition of language. A machine with only primary consciousness will probably have to come first.

What I find special about the TNGS is the Darwin series of automata created at the Neurosciences Institute by Dr. Edelman and his colleagues in the 1990’s and 2000’s. These machines perform in the real world, not in a restricted simulated world, and display convincing physical behavior indicative of higher psychological functions necessary for consciousness, such as perceptual categorization, memory, and learning. They are based on realistic models of the parts of the biological brain that the theory claims subserve these functions. The extended TNGS allows for the emergence of consciousness based only on further evolutionary development of the brain areas responsible for these functions, in a parsimonious way. No other research I’ve encountered is anywhere near as convincing.

I post because on almost every video and article about the brain and consciousness that I encounter, the attitude seems to be that we still know next to nothing about how the brain and consciousness work; that there’s lots of data but no unifying theory. I believe the extended TNGS is that theory. My motivation is to keep that theory in front of the public. And obviously, I consider it the route to a truly conscious machine, primary and higher-order.

My advice to people who want to create a conscious machine is to seriously ground themselves in the extended TNGS and the Darwin automata first, and proceed from there, by applying to Jeff Krichmar’s lab at UC Irvine, possibly. Dr. Edelman’s roadmap to a conscious machine is at https://arxiv.org/abs/2105.10461, and here is a video of Jeff Krichmar talking about some of the Darwin automata, https://www.youtube.com/watch?v=J7Uh9phc1Ow

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By: _ https://www.legalcheek.com/2025/05/book-review-susskinds-how-to-think-about-ai/#comment-1213909 Thu, 08 May 2025 13:17:18 +0000 https://www.legalcheek.com/?p=219260#comment-1213909 In reply to Anon.

In fairness, I think he’s always said that the very high end of law will do well. What he’s got very wrong though is BigLaw. No doubt he’ll claim that he’s early and assocs at big law firms will eventually be turned into ‘legal engineers’ or whatever.

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By: Anon https://www.legalcheek.com/2025/05/book-review-susskinds-how-to-think-about-ai/#comment-1213903 Thu, 08 May 2025 12:27:17 +0000 https://www.legalcheek.com/?p=219260#comment-1213903 In reply to Hmmm.

His own son is a commercial barrister.

If it were all doom and gloom for the profession, I’m sure he would have persuaded him to look for other ways to make a living.

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By: Hmmm https://www.legalcheek.com/2025/05/book-review-susskinds-how-to-think-about-ai/#comment-1213890 Thu, 08 May 2025 11:25:12 +0000 https://www.legalcheek.com/?p=219260#comment-1213890 One the central predictions of Richard Susskind’s previous book, Tomorrow’s Lawyers (2013), was that many people who went into law 20+ years ago have ended up rich almost by accident as they never went into the profession for the money, but that many of those going into law post-2013 would do so for the money but end up earning much less than they’d hoped because of tech and automation etc.

So far this prediction has been completely wrong, as junior lawyer wages at corporate law firms have continued to soar, alongside partner earnings. I’d like to see Susskind reminded of this. Anyone who followed his advice has lost a lot of money.

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