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harrouet

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Thank you! Thank you for saying it out loud !

At the start, LinkedIn was great and you could really connect you to a vibrant community of former colleagues and weak relationships. I actually got fruitful introductions and evn job offers from those days.

Then, they wanted to become a social network. Because, you know, advertising... It started way before Microsoft.

We started to see "LION" (LinkedIn Open Network), it became a goal for some to have as many connections as possible. So, tons of connections, but no more answers to messages. No more introductions. Useless connections. LinkedIn encouraged that by allowing connection requests without knowing the email of the person. That's when spam started.

Then, messages became mostly irrelevant, simple commercial requests of people who did not give a sh*t who you were. I personally cut off all LinkedIn notifications from that day on. I guess a lot of people never read their messages anymore either, so it became impossible to get an introduction. What's a community worth when people cannot communicate with each other?

Then came the "let's be Facebook" idiotic strategy. People would post and repost other people's content, pure fantasies with no link to reality. 25-year-olds became management or strategy gurus. No more skills, only pretention. Add AI to that and you've got the most useless feed ever.

To add insult to injury, the mobile app has got the worst UX you can find, full of counter-patterns, buggy, slow, you name it.

And yet, they manage to charge $11000/year to headhunters. Or to sales reps. Or to advertisers.

We need a LinkedIn competitor.

This is exactly the kind of technology that I expect Apple to ship anytime soon given the RAM prices and their HW/SW integration skills:

- ship super fast SSD (tbh they are already top notch)

- add a specific cache layer for tokens

- keep the amount of unified memory reasonable

Cloudflare Drop 14 days ago

You beat me to it, I was going to post the same.

Clear red flag, only useful for whistleblowers.

While working for a telecom operator, I tested the idea of having people paying more for dedicated support. We did a market study.

I turned out that customers are not ready to pay for support. Cognitively, paying for a service and paying on top for this service to work well is not consistent.

As a result, people have minimal support and complain. But they don't value good support either.

NB: companies do pay for (insurance) support, especially for swift resolution. But consumers or small businesses don't want it.

True because wars finance value destruction.

But with $1.4T announced capex for the Frontier AI labs, we're not far from the 2nd (illegal) war in Irak: $1.8T of direct military spending.

With that said, I don't know how Frontier Ai companies will ever recover this capex with a glorious $50B of revenues. Add to that that a GPU's lifetime is only a few years and you may see it as a deadend.

NB: did you know Uber destroyed $27B of value since inception? But it still exists. So Frontier AI might just do the same.

"Digital Euro"... Do people realize that maybe 90% of money is already digital, i.e. sitting as bytes and numbers on banks' computers ?

It seems to me that the actual problem that the EU is trying to solve it to find a tech managed by the ECB but that leaves space for the banks to keep existing in payment. They make a significant amount of money from Visa/Mastercard payments.

But we don't need payment terminals anymore: phones and QR-Codes are enough. We don't need Visa or Mastercard: just route payment instructions from payee's bank to payer's bank.

In Europe, we actually already have instant-payment through the SEPA network (i.e. IBAN transactions).

I hate compilers 1 month ago

You disagree but you're wrong.

Military context: a government would want to review the code and compile themselves. Provide a hash of the target binary to ensure they've compiled it correctly.

SDLC: provide auditors with _proof_ that the tested binary is indeed coming from the audited code

Midjourney Medical 1 month ago

I have seen AI projects to convert a tomography into actual 3D models.

Not easily, but not an unexplored field either.

There is this famous experiment with 9 monkeys in a room with a banana attached to the ceiling and a scale.

First day, a monkey climbs the scale, gets the banana and is happy.

Second day, they start spraying whomever gets on the scale. Monkeys hate this. They learn not to climb.

Third day, they take a monkey out and replace with another. The new monkey sees a banana up there and tries climbing the scale. He literally gets beaten out by the others, like "seems like you're new here".

Days 4-12, they've replaced one monkey per day, so that no monkey was here when it was possible to get the banana. None of them have ever been sprayed either. Still, they enforce the rule not to climb up there.

I am putting this example because in our society as well, there are many rules that are enforced without anyone questioning the "why". Yet the "why" is often more important to know than the rule itself.

Designers know this dichotomy between the "why" and the "how". Most people don't.

CrankGPT 1 month ago

Always amazed by the mount of time, effort and skill that goes into this kind of prank :).

(although I salute the attention it brings to an important cause)

This is Apple commoditizing LLMs while keeping control of the UX.

They are a hardware company and will keep selling the best machine for AI use. Well done.

OpenAI actually never had a focus. Their VC pith was: once the AI is good enough, it will find our business model. They've raised money on that.

With that said you are right, it seems OpenAI got numbed by ChatGPT's initial success and tried to be the go-to brand for consumers... which is Google's playground.

Meanwhile, Anthropic led the B2B market with a clever segmented approach, and got well-paying customers.

Siri AI 1 month ago

Spot on!

I am also under the impression that the LLM tech is plateauing before bringing the promised productivity. Great as a coding assistant, great a summarizing a text, translating, great a helping plan a trip...

But for the rest, e.g. act as a life assistant, it is still far off with no hope to reach the desired performance level.

I would not be surprisd to see OpenAI and the likes to start reverting to Siri v1 strategies, i.e. "if this then that" kind of agent routing.

Shopify Is Down 2 months ago

Massive incident at Shopify since Jun 03, 2026 - 09:27 EDT.

All my sites are affected, I guess this is general.