Between trip, end-of-year tasks, the approaching holidays, and different hysteria, I haven’t give you an article this month. So right here’s a fast record of issues which have amazed me not too long ago.
Are we digital but?
I’m removed from the primary particular person to search out NotebookLM wonderful, and I actually received’t be the final. I did a easy experiment: I pointed it at two of my latest posts, “Assume Higher” and “Henry Ford Does AI.” Each the abstract and instructed questions NotebookLM offered have been fairly good: They went past merely commenting on the 2 items and bought into the connection between the 2. However what blew me away was the podcast it generated: an eight-minute dialogue between two artificial individuals who sounded and engaged. (Right here’s an outline of a few of the strategies Google places to make use of to make it occur.) Was it 100% right? No, however truthfully, if a human summarized my articles, I’d most likely discover a couple of issues to complain about.
Being Google, after the preliminary expertise, the consumer interface was greater than a bit clunky. After I needed to return to the podcast a couple of days later, I needed to play “guess what to click on” method an excessive amount of. (Trace: Would you guess that you must click on on “Pocket book Information”? Why doesn’t the podcast participant seem by default?) However that’s actually a really minor downside.
Fashions utilizing computer systems
Anthropic’s pc use API is now obtainable in beta. Beta is true—there’s clearly loads happening right here that’s harmful and simply abusable. Nevertheless it’s additionally lots of enjoyable, and it factors towards a brand new path for AI growth.
In essence (and I could have the essence flawed), pc use permits you to inform Claude find out how to use a pc: browsers, editors, shells, something that may have a consumer interface on a display screen (and probably extra). Anthropic offers a demo as a Docker container, so you possibly can run it safely. As soon as the container is working, you may give Claude an issue to unravel; it is going to work out find out how to remedy that downside, and use the container’s digital Linux pc to do the work. For instance, you could possibly ask it to fill out a spreadsheet with knowledge it collects from web sites. Claude will do all the click, copying, and pasting for you.
Is that this revolutionary? My first response was “Large deal, I can add a file to GPT and use it to browse the online for me.” In precept that’s true, though ChatGPT doesn’t enable net looking and file importing in the identical dialog. What’s actually new? Take into consideration the monstrous immediate you’d must get GPT to learn a spreadsheet, discover out what knowledge was lacking, search for that knowledge on the net, and generate a brand new up to date spreadsheet. It wouldn’t be easy. With pc use, most of that complexity disappears.
Does it actually disappear? We’ll discover out as we get additional in. We’re nonetheless on the stage the place hallucinations and misbehavior are cute quite than crucial. It’s simple for Claude to be misled into deciphering one thing on a random web site as a immediate. It is going to be a subject day for immediate injection assaults. And I can think about loads of enhancements. Pc use at present works by taking screenshots and delivery them to Claude, which computes the place to click on. That appears extremely awkward, particularly provided that many functions have accessibility affordances that may make the screenshotting pointless.
For now, calm down and take a breath. Don’t use pc use for something critical but—it’s essential to heed Anthropic’s many warnings. However you need to play with it and take into consideration what it means. An automatic framework for testing net functions, Selenium++? A device for negotiating with on-line distributors? We’re a lot nearer to an agent-filled world the place we ask a pc what to do and it does it for us.
Might this be the tip of CRM?
Considerably alongside the identical traces: Sam Lessin posted on Twitter (I received’t name it X) a few very intelligent and helpful hack. He exported a few years of e-mail, used GPT to extract key components, and uploaded it to NotebookLM (sure, once more), which permits him to ask questions on his conversations over the previous decade. Who did I speak to? Why? What are the matters we talked about? That’s all helpful data.
Sam argues that that is the tip of structured buyer relationship administration (CRM) software program. I received’t supply an opinion for buyers or founders, however his course of resonated with me instantly. I’ve labored with many authors and potential authors over the a long time, and my e-mail contains conversations with hundreds of individuals. So once I need to ask a query like “I need to perceive extra about DDOS; who ought to I speak to?” my first step is to go to Gmail and begin looking out. E-mail is my CRM system; I’ve by no means used a business CRM product.
Sadly and sarcastically, Gmail’s capability to look is kind of poor. Utilizing it for contact administration, although it may be made to work, isn’t nice. Can I simply ask NotebookLM? Completely.
E-mail-based CRM would possibly even be a very good startup concept, although it’s laborious to think about succeeding long-term. There wouldn’t be a lot of a “moat” to guard a startup in opposition to bigger firms—like Google itself. I can simply think about Google constructing this type of AI-enabled search straight into Gmail. They have already got all the info.
That’s it for this month. That wasn’t so dangerous—perhaps I ought to do that extra typically.