3,684 karma · joined February 26, 2013
I bought this Barenboim on Beethoven DVD set 20 yrs ago only for the bonus DVD where he gives a masterclass. These were exceptional students (Lang Lang is rated as one of the worlds best now), and I can’t play piano, but in that video he shows me as a layman the difference between playing with competence and playing with grace. One can hear the difference in depth of the story behind each note. Found one: [1]
Something completely different (but with the same logic): do you outsource legal, hire your own team of business lawyers or will you let customer services use AI for legal problems (and only hire a lawyer for a day in court)? I think all three solutions are currently active in different firms. From a risk perspective I would always want a lawyer on my team. Insource those learnings. But perspectives vary.
A funny estimate is possible though. MSFT 2750 G$ market cap and 550 M business users. That’s 5 k$ per user. Grossly misrepresenting everything (AI bubble, other cashflows, …) but it is a ‘directionally right’.
The story about the test match broadcast is really nice. Just goes to show how deep cultures can be locally ingrained. One could learn perfect English and never get to the point of getting this joke, without serious integration efforts. In this case, worthwhile efforts.
[1] https://www.theguardian.com/uk/2005/aug/20/sport.andrewculf
[2] https://dictionary.cambridge.org/dictionary/english/get-leg-...
The second question: yes, in a time of need my manager and HR-consultant did indeed help me find appropriate psychological care. (And we also visit coworkers in the hospital.) This was part humanity, but also part of what ‘we’ (a firm is a collection of people) constitute as being part of what it entails to be an employer. It feels like a reductio ad absurdum to think that this was purely transactional on their part. It was deeply human, or at least I choose to see it as such.
As a junior I made the front page of national news. I answered a question with a very big number on a Friday afternoon. Hit headlines on Saturday. Our prime minister had to defend my mistake in public. (He never admitted any mistake. With just enough spin nothing sticks.)
The head of the organization literally cursed and spat at me. In that same meeting from the no. 2 down they stood up for me. It’s still a great story about how to treat mistakes 20+ yrs on. Admit mistakes. What did __we__ (not: he) do wrong? (Hint: from medior to board everyone had an afternoon off and we had never discussed stakeholder management. I was in no position to say no to a ministerial request.)
Giving people a chance to discuss, as adults and professionals, how they got sniped beats any second hand training and experience by miles.
Now we get to hear that x% of a sample failed including #y elevated privileges people. How will somewhat naive management handle that?
Sometimes I get a feeling many HN-ers work in ultra toxic environments. HR is not your friend, your manager is there to screw you over and the firm will fire you for pennies. That’s just not my experience in working.
Edit with an example: Read some interesting science news yesterday regarding man made risk of high water (Nature). Mailed the author, found the article (popular news doesn’t do attribution) and data and code was open source. Claude Fable had it running very fast and explained the things I forgot from high school. Started on localization and adding some methods from my background (econometrics, extreme value theory). All nice in the /hobby/ way. I can overlap fields in hours now. A brilliant feeling (but probably not brilliant).
What I cannot do is assess the value and novelty of the created work on my own. So I still need to have a set of geologists and econometricians / actuaries work through ‘my work’. That’s what we need tools for! We need UI/UX in this case for novel fields interacting with quality controls made easy. I currently wouldn’t dare ask the author for her time based on my slop. And I cannot critically assess what I’ve made. I only learned today that Greenlands ice attracts water, that Manila and other cities are sinking due to exhaustion of their aquafiers and that the North Sea is surge heavy and unique that way.
- programmers had problems with delivering quality long before LLM’s
- very much research and tools went into that, bringing us {Git, libraries, VSCode, reviews, …,} but the human factor stayed the same (and more pronounced imho than in other fields of engineering)
- LLMs democratized programming, enhancing a few, dropping the bottom to no skill programming
- the tools and practices created for the quality problems from the past turn out to be wholly incapable of maintaining quality in the present
The main problem behind this is that those delivering the QA tools of the past are central in the AI race. Old school engineering would separate these concerns.
One step up on the ladder is that the fish aren’t being caught anymore due to regulations pertaining the hooks (disallowed) and the length of the line. The fishermen complaining are being told that the regulators are also complaining and that management has decided that complaints everywhere are the best balance.
Strategy and leadership don’t come to exist on their own. It’s middle management that has the best operational and tactical view bear none. Use that to influence decision making instead of complaining. (Yes, this is a theme in my professional life. Our middle managers don’t know their own worth. Pretty please give me Plans about what you Want to Deliver. Those are so much better than general strategies.)
When I did my MSc thesis he told me it was a pretty good PhD. (Before giving me a months work in corrections.) I didn’t understand back then, but I understand now. It was small, replicatable and novel (still is)! Just replicate three times and be done with it. You’ve proven your mastery. Now start something serious.