This account is incredible

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Here is a PDF of chapter 17 - it's just 3 pages and will fill you with hope and optimism, or so I've been told share.eva.mpg.de/index.php/s/...

My first interaction with ChatGPT in 2022

Hi Claude, create a Chrome plugin for me that every 1-90 minutes during working hours (randomly) first sends a prompt to the OpenAI API that requesting text for a new prompt that looks like it relates to doing work at a law firm, then the plugin opens a new tab with url XXX....

Well that was a surprising week with a lost laptop leading to me becoming a Mac user, and the US joining the axis of evil. Boo being mean to biglaw too, although I have a track record. Wonder what happens next week

Actually.... process -> assets/tools -> metrics -> process and data is either an asset (a valuable list) or the feed for metrics. Assets/tools probably break down into platforms and contents or something

I sometimes get told that Radiant is toast, because AI. I tried to model the argument... Any issues jump out for you?

I wrote a list of 15 types of work where AI is particularly helpful, and also 5 areas where it can be a trap. AI is still best, at least for now, as a co-intelligence working with humans. Knowing when to use it, and when to avoid it, is a useful skill. www.oneusefulthing.org/p/15-times-t...

@joepatrice.bsky.social delivering insanely good comedy gold as usual: ‘Grok spits out...all the humor and wit of a concussed rooster pecking on an Ouija board.’ 🐓😂 abovethelaw.com/2024/12/elon...

Still musing. Perhaps the cycle is process -> assets -> data -> metrics -> process... Assets includes tools Anyway the point about all of this is repeatability as the basis for improvement. So if you want to inject a random word generator in then you need to wrap it in controls

What about people? People are everywhere. They create/follow/improve the processes, they create the data (directly or indirectly), they hopefully review the metrics. That's where Shingo's brilliance about the focus on behaviour comes in. Work on the inputs, not the outputs.

I'm just going to keep chatting to myself. On to continuous improvement which I think basically boils down to improving processes and tools/assets.

Building out the process -> data -> metrics point a bit further, there are basically two aspects to continuous improvement: improving the process and improving the tools. Tools include assets, which are particularly important in knowledge work - templates, playbooks, checklists etc etc.

There's a term in bank IT departments of "change the bank" v "run the bank". I think the process-> data-> metrics-> process -> cycle in my last tweet (? what are they called here?) is basically how does one do iterative improvement in the run state.

I think I'm going to hang out at the other place now

Hello world I'm going to use this nice quiet space as a place to develop ideas. First up is a pattern I've observed as we have built Radiant: process -> data -> metrics -> process... and round we go

It was never going to be one-and-done: thinking evolved, CLMs and GenAI blew up, and the team kept figuring things out. The second edition is being published on 24 June, with fresh content on purpose, ideal behaviours, and why relationships matter most (plus AI!).

v2

Need to update our list of document automation platforms (pure plays, not CLMs) for our doc auto guide. We still love Docassemble, but what else is out there?

Trying to get MS Copilot to do something useful and it just seems to be a nobbled version of GPT. Has anyone got any value out of it?

So I wrote something about AI https://www.linkedin.com/feed/update/urn:li:activity:7129836150663340033/

Legal, sales, procurement

Posted a guide to online intake forms on LinkedIn. I know you're the cool group who know it all... But do you really? https://www.linkedin.com/posts/alexhamilton_online-intake-forms-activity-7093169853171130368-y3xa

Sharing stories of dodgy ancestors over whiskey with @CarrNext. He has pirates, I've got missionaries, mercenaries, and gangsters. And those are the ones that our respective families are willing to talk about

. @bbogsnes (Beyond Budgeting) and Dave Snowdon (Cynofin) exploring commonalities and (not many) differences. The counter-culture is going strong

My current experience of Twitter is being shown ads by one organisation and having tweets liked by another organisation, that have each apparently created thousands of variants of themselves to make blocking impractical. Still better than LinkedIn

Interesting conference at the FT today on AI (thanks @_RSGI @Pinsent_Masons). Conclusion: despite one presenter declaring there would be an LLM data layer thing connecting all systems (wtf?), I came away thinking it will have less impact than when I went in.

ISO24495-1 has dropped (that's the plain language one to those who can't read ISO) and it's pretty good

I was reminded today of this passage from the excellent @nealstephenson book Cryptonomicon. The discussion is between Randy (a hacker) and Enoch Root (a mysterious priest), about Athena and Ares (Randy asked why Root was wearing an Athena medallion). An allegory for our time?

It remains completely wild for me that "I" can write complex code handling a bunch of edge cases by chatting with a computer.... while flying over Africa. I thought I had read enough dystopian near-future sci-fi to be ready for this, but the future seems jollier than expected

Software set up to start automated KM bootstrapping project using GPT's API... GPT 3 is an idiot but GPT 4 can do it. The only thing between us and legal world domination is the waitlist for GPT 4.

After two weeks of playing with GPT4, I find its best use is as a prompt cycle. I prompt it, it throws up things to consider, and it prompts my brain. There may be a couple of loops, but often one is enough.

Well, this is a bit annoying, but @DCaseyF was probably right. What we've figured out in the last few days is a game-changer. May be away for some time, but carry on as you were arguing about GPT :)

Fascinating post spelling out how to deliver (or rather how they failed to deliver) a magic wand for contracts. Qudos to ClauseBase for being open with a cautionary tale. And yet humans can do this wizardry day in, day out... Manual...

GPT 4 is significantly better. I think we will be putting our entire wiki (bar-sensitive client parts) through it over the next few weeks to shorten/simplify. Robots may not take everyone's jobs, but they can write more clearly than lawyers

I woke up this morning to a crazy number of notifications on this thread. I apologised to @StephenMayson for pulling him in the first time it went wild. Some thoughts…

No-code started off as just a table or two, the odd formula ... then automations ... and here I am googling SQL commands

A wonderful example of why it is irrational to believe that people behave rationally... your contract templates and contracting processes need to take account of humans being humans https://anderson-review.ucla.edu/behavioral-contract/

I think I've found where ChatGPT might help with contracts. Interestingly, it's the area that lawyers usually run away from (there are exceptions, I used to be one). @DCaseyF

Great report by @LexisNexisLegal about the billable hour.... I know we are all bored of the topic, but it's not going away while you are still using it https://www.lexisnexis.co.uk/insights/calling-time-on-the-billable-hour/index.html

Terrific discussion between @GaryMarcus and @Grady_Booch about when AGI might happen and what it will take. Recommend to anyone thinking about ChatGPT https://open.substack.com/pub/garymarcus/p/agi-will-not-happen-in-your-lifetime

Two people at a company I used recently asked me to rate them 10 in the follow-up survey. What does the company think it is optimising for? Customer experience or measuring staff?

I'm curious when the first lawyer is going to be made redundant due to ChatGPT - please let me know if you, or anyone you know, has been replaced by an AI

Hypothesis: every department in a business can aspire to a perfect cycle. For Radiant, delivery is the perfect half day, finance the perfect month, management the perfect week. Thoughts?

How to reason about doing activities (including tools, systems, AI etc) - version 3 🙃

Trying to think through how AI should be treated. Twitter, please take this flowchart apart :)

Unfortunately this happened Cc @CarrNext @alexgsmith and their lawyers