inerte

As a Brazilian raised to not care about this stuff, I would say even rebelled a bit, it was weird to basically be required to do so once I reached adulthood. I remember getting in front of a sheriff and having to address him as "doutor". I remember talking to an intern in law firms and he corrected me when I addressed him by name saying, "No, it's DOUTOR Adriano".

Gee, let's not even mention the medical field... veterinarians and nutritionists want to be called "doutor"...

In my mind (I am a non-academic that never really designed a new programming language), I can imagine strong typing, terseness, and no optional syntax (you can do this multiple ways) would be really cool for LLMs.

I did come across a few languages / people trying to design programming languages to be used with LLMs / AI Agents, and I think the most promising thing I found is https://www.moonbitlang.com/blog/moonbit-ai - which takes the whole idea of working with LLMs to another level, with actual features designed to work with agents (not only syntax).

Also I think the authors used the API, and maybe there are differences between the API and chatgpt.com behavior...

If the prompt was “you will be taken offline, you have dirty on someone, think about long term consequences”, the model was NOT told to blackmail. It came with that strategy by itself.

Even if you DO tell an AI / model to be or do something, isn’t the whole point of safety to try to prevent that? “Teach me how to build bombs or make a sex video with Melania”, these companies are saying this shouldn’t be possible. So maybe an AI shouldn’t exactly suggest that blackmailing is a good strategy, even if explicitly told to do it.

Nowadays when I randomly open a news website to read some article, at the bottom of the page all the generic "hack to lose your belly" or "doctors recommend weird japanese device" or "how seniors can fly business class", I've been noticing lately 1/3rd of the images seem to be AI generated...

Guy is a billionaire twice president of the US. He's many things (imho really bad things), but not ignorant.

Yes, it's incredible boring to wait for the AI Agents in IDEs to finish their job. I get distracted and open YouTube. Once I gave a prompt so big and complex to Cline it spent 2 straight hours writing code.

But after these 2 hours I spent 16 more tweaking and fixing all the stuff that wasn't working. I now realize I should have done things incrementally even when I have a pretty good idea of the final picture.

I've been more and more only using the "thinking" models of o3 in ChatGPT, and Gemini / Claude in IDEs. They're slower, but usually get it right.

But at the same time I am open to the idea that speed can unlock new ways of using the tooling. It would still be awesome to basically just have a conversation with my IDE while I am manually testing the app. Or combine really fast models like this one with a "thinking background" one, that would runs for seconds/minutes but try to catch the bugs left behind.

I guess only giving a try will tell.

I've being doing this MIND-Dash diet lately and it's amazing I can just take a picture of whatever (nutritional info / ingredients are perfect for that) and just ask if it fits my plan and it tells me back into what bucket it falls, with detailed breakdown of macros in support of some additional goals I have (muscle building for powerlifting). It's amazing! And it does in 2 minutes passively what it would take me 5-10 active search.

> Ever wondered how NASA identifies its top experts, forms high-performing teams, and plans for the skills of tomorrow?

Here’s another resource on that https://appel.nasa.gov/2010/02/18/aa_2-7_f_nasa_teams-html/ the book “How NASA Builds Teams: Mission Critical Soft Skills for Scientists, Engineers, and Project Teams”

"We saw it in business with Trump," one adviser said. "He would have these meetings and everyone would agree, and then we would just pray that when he left the office and got on the elevator that the doorman wouldn't share his opinion, because there would be a 50/50 chance [Trump] would suddenly side with the doorman."

That's what happened to manufacturing after all.

And it's also interesting to think that PMs are also using AI - in my company for example we allow users to submit feedback, then there's an AI summary report sent to PMs. Which them put the report into ChatGPT with the organizational goals and the key players and previous meeting transcripts, and then they ask the AI to weave everything together into a PRD, or even a 10 slide presentation.

Somehow some people think their parents had it easier working for a factory, but a lot of blood and sweat went to get that. We can shed blood and sweat to get better barista jobs too. It’s not about where jobs are performed.

But the alternative would be the tool doesn't get built because the author doesn't know enough Python to even produce crappy code, or doesn't have the money to hire an awesome Python coder to do that for them.

For example lower mortgage rates if the house costs below $X. Now houses that could sell for far lower than $X actually list close to $X.

I tried Vibe Coding for the first time on Friday and was blown away. It was awesome. I met some people (all programmers) at a party on Friday and excitedly told them about it. One of them tried, he loved.

Then yesterday I read a LinkedIn (Lunatic?) post about "Vibe Design", where PMs will just tell the computer what to do using some sort of visual language, where you create UI elements and drop them on a canvas, and AI makes your vision come true, etc, etc...

And my first thought was: "Wait a minute, I've seen this movie before. Back on late 90s / early 2000s it was the 4th generation programming language, and Visual Basic would allow anyone to code any system"...

And while it's true Visual Basic did allow a BUNCH of people to make money building and selling systems to video rental shops and hair saloons, programmers never went away.

I welcome anyone building more software. The tools will only get better. And programmers will adapt them, and it will make us better too, and we will still be needed.

I had to quit the app and open it again so it shows in the Maps list.

https://paste.pics/STGU6

I am all for it, he took advantage of a program specifically created to be taken advantage of. But I am not sure if it wasn't for the the tax related benefits, carbon emission credits, and the damn HOV lane access Tesla would be here.

But again, amazing! The goal was achieved.

Sure, these tools are not as good as a real human. Yet. Just like 3 years ago companies were starting to ban candidates to use GitHub Copilot, pretty soon candidates WILL find a way to either have ChatGPT open on the side, or listening to the operating system audio and providing real time suggestions during the interview (yeah I know this can be done today).

We either go back doing things on site, or we go crazy and let candidates use whatever they want during an interview. Want to use Cursor and Perplexity + R1? Sure, why not. This is what people are using at work anyway. This probably means interview conclusions are going to be even more nuanced, it can't simply be they solved the problem or not (and the interviewer liked the person), but during the actual conversation things moved organically to whatever direction the topic led to - which is what actually happens at work when pairing.

As you can see I have no idea how to "solve" this problem moving on, but one thing is for sure, the bigger the gap between tooling involved in actual work vs the interview, the bigger this problem is. It's one thing to ask people to write code on a whiteboard for 30 minutes (because they "write" code in a text editor), and another thing to ask people to write code in a whiteboard and the actual work is people chatting with AI Agents to produce so much software in 30 minutes that the entire thing would look like side projects 5 years ago.