I see many countries promoting social media to raise the age for using it (e.g., Australia, the UK, etc.).
The sad thing is that some parents are already giving their toddlers a tablet to "entertain" them. This hurts the child's brain development. Not to mention when they get on social media and are exposed to various trends.
Some of the most inspiring startup journeys of the last few years happened in plain sight.
@levelsio built Nomad List and Remote OK live on Twitter sharing revenue numbers, failures, and pivots in real time. @marclou does the same, shipping products publicly and turning his audience into his distribution. Both have built massive followings and real businesses partly because of how openly they build.
I joined product Hunt recently and feel a bit lost. between daily launches, upvotes, collections, and comments, it is hard to tell useful tools apart from products that just got votes from friends. I am also unsure about the general etiquette. is lurking and upvoting standard, or should i be commenting? Do makers reply to questions from new users? How did you navigate the site when you first joined? What habits help you filter out the noise and spot genuinely good tools?
We read both vendors' documentation and the recent work on looped transformers with three questions: what does a model's reasoning cost, what can you steer, and what can anyone read afterwards. The answers sort into three places.
On the page, as visible text. You pay the output rate, you steer it with the prompt, and you can read it, though studies show these visible traces are often unreliable.
Off the page, as hidden tokens. The example in OpenAI's own guide shows 1,186 output tokens charged, 1,024 of them reasoning; you pay for every one and the text stays with the vendor. Anthropic's docs show the same: you're billed for full thinking tokens whether shown or not. The rate is the same, the steering is an effort knob in place of a prompt, and what you can read is at most a summary. The exact count is in the usage object, and on the newer models earlier turns' hidden reasoning stays in context and is billed again as input.
Inside the network, as extra passes through the same layers, which is what recurrent depth means. Compute rises per token, the token count does not move, and there is no text for anyone to read, the vendor included.
A developer described this in an r/SaaS thread I started this week and it is the cleanest version of the problem I have seen.
Their Symfony app had an exception listener on kernel.exception registered at priority 200. It called setResponse(), which stopped propagation before Sentry's listener at priority 128 ever ran. Every controller exception in the application stopped reaching Sentry. Nothing crashed, nothing errored, and the dashboard stayed quiet. A quiet dashboard and a working dashboard render identically.
They found it because a person reported a 500 on a CSV import and the stack trace was not in Sentry at that timestamp. Not from a system. From a customer, hours later.
The detail I keep thinking about is the exception to it. Twelve Untrusted Host errors did reach Sentry in that same period, because on those the listener threw before it got as far as setResponse(). So the error reporting worked precisely when the suppressor was broken. Seeing errors arrive was never evidence the path was intact.
In most parts of the world, Easter is being celebrated right now, honestly, not really.
Today, I was invited to a weekly meeting despite the holiday. I had forgotten one fact: Orthodox countries celebrate Easter a week later. (and countries in the Far East simply don t have this holiday at all.)
This is actually a broader topic, because every country celebrates holidays differently, and with many teams being international, some kind of synchronisation is necessary the question is: how?
