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I worked in a mattress factory for a while, doing the same repetitive task day in and out.

I remember feeling like the days passed painfully slowly, but the years flew by.


To the contrary: Twitter has the lowest content engagement rates out of any of the networks.

For now. And that is because humans are the only customers engaging with content. As agentic AI takes hold and is given credit card authority, bots will will engage. Bots will read the posts of other bots and use those when making purchase decisions for thier humans. If we are lucky, the bots will develop thier own twitter-specific language and we humans can finally wave goodbye to tweets as a concept. The bots will play the twitter game for us.

Yep.

LinkedIn is pretty much the only social network out there where the average person has a shot at a little reach for their posts.

Even if it’s just past and present colleagues and various acquaintances, I actually have an audience of people who are sometimes interested in what I have to say. I can't say that for any other social network.


Yes, MCP is an API.

Previously, it was an API with a weird stateful standard; now it is essentially a bog-standard stateless JSON-RPC API with conventions for tool discovery, long-running tasks and multi-round-trip requests

If you wrote your own JSON-RPC API for an LLM, you would probably eventually end up with something that looks very much like the standard they're describing.


Ahh so it's the 2025 name for CORBA? just kidding, I meant SOA /s

But your answer is the first one that seems to be relevant, so thank you.


It should be SotA.


Does that make DeepSeek V4 Flash MiniSotA? This dev in the Twin Cities would like to know.


I think they call it Minipop there


Ilya Sutskever said in 2017, whilst building OpenAI:

> Within the next three years, robotics should be completely solved, AI should solve a long-standing unproven theorem, programming competitions should be won consistently by AIs, and there should be convincing chatbots.

There was a viral YouTube video from 2014 called Humans Need Not Apply [1], which made a very strong argument that mass unemployment was right around the corner.

I actually think people from the past would be surprised at how slow AI has progressed in the end. Although the domains where it's turned out to be most effective - code, images, videos, music, etc. - would probably surprise them.

[1] https://www.youtube.com/watch?v=7Pq-S557XQU


Thank you!


I take your point - no doubt I approached this in a very naive way.

That said, we did collaborate on it - at the very least I needed to learn his address before sending.

Neither of us have ever sent or received a package in Uganda. It was a learning experience for both of us.


Crikey, the laptop actually arrived!!!

For me that is absolutely stunning. Dude I would give you a big hug if I could.

While the comments are suggesting this story is about a disaster it feels like a massive feel-good story. I don't think anyone here will understand but there are tears in my eyes right now!

I grew up in Ghana in the 80s and I can pretty much guarantee that a package that looked possibly slightly valuable would no way go more than 2 steps in the postal system then.

I know that was decades ago and Uganda might be completely different but this story is still messing with my head in a way I can't explain.


~$200 doesn't go as far as you'd expect for good used laptop, even in Uganda. We did look into our options.

However, there's definitely a sunk cost aspect to the operation. After the first failure to send it through Australia Post, I became determined that Django was going to have that MacBook.


Wait, how the hell can Australia Post charge you the full AUD 111.60 for a failed shipment when it seems to be the fault of the clerk who approved the shipment against their own rules? And sounds like the package didn’t even leave Australia so even if you should pay for the full mileage it would be 20% at most?


Nah, it's the fault of the sender, all the ruled for what you can send are listed and it's up to you to check and respect them.


Seems like it's the fault of the author for blindly trusting AI...


I couldn't tell if the screenshot was from an LLM or the post office's website. It sure looks like what a post office would say so I'm inclined to think that's not autogenerated. A total ban on anything containing lithium batteries, as the company claimed when returning the shipment, seems wrong as well. We receive laptops from customers for doing pentests all the time, for example. Australians could never order a phone or earbuds that didn't already make it into Australia via another shipping company. Etc. Why'd they forego all that custom? How many electronics nowadays don't have such a battery? This doesn't sound to me like it was only GPT spewing nonsense

But yeah I had the same question: OP said that ChatGPT initially produced words that turned out to be sensible, but not where that later screenshot came from


Not really, it this is too be believed

> At the post office, a friendly staff member confirmed it could be sent, helped me package it up securely

It's actually at least half a case of not blindly trusting AI, and pressing until a positive answer is given:

> I asked ChatGPT how to send the laptop, and it gave me a spiel about finding a reliable freight service or courier.

> (Later) I should have listened to ChatGPT.


I have a feeling that a big risk of using AI all the time is that our own neurological capacity starts to dwindle.

Just as many people leading sedentary lifestyles have to make a deliberate effort to exercise, because inactivity is really bad for our bodies, I think we're going to realise that a similar process is necessary for our minds.

You really want to be spending a bit of time every day operating at your cognitive limits - trying to fully engage your System 2 - if you want to avoid brain atrophy. Coding used to kind of give you this exercise for free, but you can go really far with just your System 1 nowadays - literally get things done while scrolling Reddit.

I'm trying to allocate 30-60 minutes a day to doing something difficult, like writing code by hand for an unfamiliar problem or reading and summarising difficult papers without AI.


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