

I’ve been thinking of late that his tweets look AI generated. You just enter something like: take today’s news from a reputable source, invert all the facts, add lots of hyperbole, and capitalize words for emphasis.
I’ve been thinking of late that his tweets look AI generated. You just enter something like: take today’s news from a reputable source, invert all the facts, add lots of hyperbole, and capitalize words for emphasis.
This looks fascinating! Definitely signing up for the early access.
Wow, I actually pretty qualified for this. But I’m rather busy… :/
I use Sourcetree for routine stuff, though I occasionally have to hit the command line when shit gets real.
Wait, they’re not all made in China? Last time we were ordering some for a development board at work, we had to source them from China, though that was admittedly a few years back.
I hope you post an unboxing video. It could be exceptional…
I was kind of hoping for a window view. I can’t even picture what travelling 600 kph at ground level would look like?
For instance, if an AI model could complete a one-hour task with 50% success, it only had a 25% chance of successfully completing a two-hour task. This indicates that for 99% reliability, task duration must be reduced by a factor of 70.
This is interesting. I have noticed this myself. Generally, when an LLM boosts productivity, it shoots back a solution very quickly, and after a quick sanity check, I can accept it and move on. When it has trouble, that’s something of a red flag. You might get there eventually by probing it more and more, but there is good reason for pessimism if it’s taking too long.
In the worst case scenario where you ask it a coding problem for which there is no solution—it’s just not possible to do what you’re asking—it may nevertheless engage you indefinitely until you eventually realize it’s running you around in circles. I’ve wasted a whole afternoon with that nonsense.
Anyway, I worry that companies are no longer hiring junior devs. Today’s juniors are tomorrow’s elites and there is going to be a talent gap in a decade that LLMs—in their current state at least—seem unlikely to fill.
I’m not really understanding this. Where is the privacy problem? What is different with airpods that solves this? At the end of the day, are they not just bluetooth headphones? Do they add some extra security layer beyond what bluetooth itself offers?