I know you’re trying to see where the puck is headed but I think there is a lot of work between where we are and where LLMs replace 4 Junior devs.
The workflows we have are not quite right for it. Coding has always been 10% coding and 90% debugging but I think the rate at which we generate the 10% will grow exponentially.
This means that the debugging has to grow. We will generate errors at an unprecedented rate.
LLMs trained on previous errors and methods won’t catch them. They’ll be more complicated and spread out over the code.
We need new tools to visualize the code and track errors. I think what it means to be a programmer will change. More testing, thinking and less klocs.
For every application of semantic search, I’d love to see what the benefit is over text search.
If there a benchmark to see if it improves the search. Subjectively, did you find it surfaced new papers? Is this more useful in certain domains?
One of the best pieces on here recently (and didn’t realize it was by Sinofsky!)
Anyway, one other insight I would add is that the issues tend to come up at the interface between the systems. Your automation has to get some input and send some output and both those are pain points. That’s why we sometimes prefer imperfect monolith software.
All these suggestions are great but I would add two more:
1. find a good text book in the field as narrowly construed as possible, and just browse the table of contents.
This will give you a quick map of the field, and a place to put all the info you gain.
2. Read the management discussion in the 10k of a public version of the company you work at and 2 leading customers, and the transcript from the earnings call.
“BNT211 continues to show encouraging antitumor activity in patients with CLDN6-positive relapsed or refractory advanced solid tumors” <- interesting because they finally demo some effect in solid tumors in humans
“Follow-up of efficacy data at 1x108 CAR-T cells with or without CARVac shows an overall response rate (“ORR”) of 59% and a disease control rate (“DCR”) of 95%, with the CARVac cohort demonstrating a prolonged persistence of CAR-T cells” <- interesting because those are high response rate. Let’s hope it lasts and they can increase those rates but as a patient, you would take this.
Microsoft Authenticator syncs across all instances so you just have to log in to a new Authenticator on the new phone and the codes are there. (I think it uses OneDrive).
I am sure that is less secure than a local only copy but this may be least bad of all alternatives.
You might even give a trusted person a login and have it on their phone so you can use theirs in an emergency.
There have been several iterations of this sort of idea — a personal CRM — and the main issue I have is they should automatically scan my emails, texts and chats to figure out my friends and suggest that I reach out.
I would then focus on the introductory courses (typically Accounting, Valuation, Marketing, Org theory etc).
Find the syllabus for those courses or the text book and just browse it.
That won’t teach it all but it will sort of give you a map of the territory so you can look it up when you need to. About the level of memory most MBA grads have 5 years after graduation.
That is an extreme claim (in the sense of surprising, remarkable, unusual, and one that needs a lot more support than ordinary claims).
It is inadequately defended here. The argument that it violates fair exchange is tautological.