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Scrolling down a LinkedIn feed is hilarious at the moment.

My favourite one today from today:

“The tax isn't the problem. The mindset is.”


The LinkedIn Kool-Aid predates the advent of LLMs though.

I often think it’s the opposite in fact, that the LLM smells come from LinkedIn text.

This tracks. Linked in, stack overflow, Reddit, even hn. All in the training data, I assume.

All the criticism the UK and European countries get from American tech billionaires for censorship…then…this. No one anywhere could argue this post is some sort of hate speech to even mildly cover their arses.

The difference with Europe may be that in this case the charges have already been dropped. Not saying it's great, but at least it was stopped, and she may sue for reparations. I don't think the "hateful posts" cases in the UK or Germany end up like this.

> It is the knowledge they carry. How the business actually operates. Where the edge cases live. Why certain decisions get made the way they do. What customers really mean when they complain about a specific issue. The context that never makes it into a process document because it does not need to — because the right person already knows.

I get this is about the immediate firing of people and losing knowledge quickly but there’s no reason this this knowledge can’t be captured actively and passively over the next year or so now there’s a massive incentive to do so. In fact using AI to capture this knowledge is a huge opportunity tons of startups are working on.


Tremendous stuff. Made better by the throwback web styling. Almost broke out in to the national anthem halfway through the article.


Lidar does work well at depth:

https://voyis.com/projects-endurance/

Endurance is 3000m down.


You have to get the lidar down to the scan range, which they do with drones. The effective scan range of that particular lidar model is 1.5 to 15 meters. Compare that to 1000+m for aerial lidar. That means that they had to get the scanners to extremely low depths and were using very expensive drones, and the process was still extremely slow. They still had to target the search area using probabilistic models based off of available historical records, as a general search would have been way too expensive.


And because people writing anything worth reading are using the process of writing to form a proper argument and develop their ideas. It’s just not possible to do that by delegating even a small chunk of the work to AI.


Taking time to figure out if you’re the right fit for the company and the company is the right fit for you is a very good thing. For both parties! Rushed hiring processes increase the chances of you being fired for not being the right fit. Short hiring processes are a massive red flag for me.


True, but it becomes a problem when the entire thing is automated. Because then it's entirely one-way. You spend infinite cost and money, they spend nothing. So, you can't even figure out yourself if you're a good fit. It's entirely in their court.


"I think the Culture’s values are a winning strategy because they’re the sum of a million small decisions that have clear moral force and that tend to pull everyone together onto the same side." Dario Amodei [1]

[1] - https://www.darioamodei.com/essay/machines-of-loving-grace#5...


man i hope he really means that


Text to code is clearly valuable but the code to text capability of LLMs is seriously underrated IMO. I would argue orgs should prioritise giving PMs Claude Code licenses over devs. So much efficiency unlock without the worry about whether vibe code can be shipped to prod.


Shipping vibe code to prod is like the dumbest and least useful thing LLMs can do.


exactly.


Don’t know about anyone else, but I find OpenAI irrelevant now. I bought an anthropic pro account to get Claude code and now just use Anthropic for everything. I can’t see anything drawing me back to OpenAI ecosystem. What am I missing?


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