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If I'm paying, which I am, I want to have to opt-in, not opt-out, Mario Rodriguez / @mariorod needs to give his head a wobble.

What on earth are they thinking...


> What on earth are they thinking...

@mariorod's public README says one of his focuses is "shaping narratives and changing \"How we Work\"", so there you go.


Translation: more alignment with Microsoft practices

"shaping narratives", sounds like they follow the methodologies of a current president

It looks like the literal translation of "manipulation" to Linkedin-speak.

No, it uses LD_PRELOAD symbol interception, not binary patching.

This isn't the Rust Allocator in nightly. This is a drop-in replacement for the system's malloc implementation.

Think jemalloc, tcmalloc and mimalloc.


Ah the old Enterprise Service Bus...

Same can be said for people using LLM agents to complete jobs faster than humans ever possibly can. It's not like they just fluked it. They've learned how to harness the capabilities of the tech. Now companies are introducing this stuff as a normal workflow but they are clueless as to how it actually works and expecting 10x output from people.

It will all crash when they will see that people can't do 10x, even with AI. It requires too much expertise and knowledge in the field to actually make it work as a hired professional. Look at the AWS outages... and they are professionals, right? RIGHT?

I wonder how the transition from classic hammers to nail guns went for carpenters / framers.

Nail guns are tools, just like hammers. However, you have to know how to use it and to know how to adjust the pressure for the depth you need. It also costs money, much more than a hammer. And you can't use normal nails, you have to have a specific cartridge of nails, and you must know how to adjust it, and ultimately to not die.

Now compare it again.


Nailguns are not as complicated as you think, anybody with IQ over 80 can be trained to the top proficiency in 30 mins. Same goes for other power tools, they are generally much easier to use and more productive than their human-powered equivalent. The effect of the construction industry adoption of those is in smaller crew sizes, which is also being observed in SW industry.

I think it's a fair comparison; experienced carpenters who've learned to work fast with a hammer, now asked to be 10x more productive while using a new tool they don't have experience with. It probably got more than a few a bit bothered.

get your carpenter a circular saw, a drill, a router, a hand planner and an orbital. on many jobs you ll get your 10x.

you don't need much experience. the tools make you insanely faster with much much less physical strain and maintenance time. they're simple, predictable, reliable, and obscenely powerful.

an experimented carpenter would take a few minutes to be decent at using then.

- stable and "slow" is best - don't ever let the blade get pinched (by wood) - be mindful of the cords - keep the flesh out of the way - goggles up and don't breathe the dust

you got 95% of it there


There are very few contractors still swinging a hammer. They're going to be slower and more expensive than the competition, which is a major factor in getting the job.

A personal project I've been using for months to allow LLM agents to have task management.

Raft is a good example. And it seems to be in most models training data.


FFmpeg should just dual license at this point. If you're wanting shit fixed. You pay for it (based on usage) or GTFO. Should solve all of the current issues around this.


You mean, Google reports a bug, and ffmpeg devs say "GTFO"? Let's assume this is a real bug: is that what you would the ffmpeg developers to say to Google?

I absolutely understand the issue that a filthy-rich company tries to leech off of real unpaid humans. I don't understand how that issue leads to "GTFO, we won't fix these bugs". That makes no sense to me.


People would rather spitefully stub their toe after being warned of the table's location by someone they don't like rather than take heed.


Matter turned into a cluster fuck of devices. Use you're android phone to provision a device and connect it to your setup, most people use Google Home or homeassistant, smartthings is also an option, maybe others. But it's only to onboard the device for the most part. It'll still connect to your WiFi, give you next to no visibility as to what's going on in a failure and no interface to control it should your controller go down.

It's also not very well supported in things like homeassistant, despite what they say.


I’ve only got a handful of Matter devices, but haven’t experienced any problems with them. Have had them connected to HomeKit for a year or more, and got around to connecting them to Home Assistant last week - I was actually very impressed at how seamless it was to connect them to Home Assistant (generate pairing code in Apple Home, copy/paste into HA, done) - they’re now all directly connected to both HA and HomeKit and seem entirely functional on both.


A big thank you to the creator. Was one of my goto sites to debug IPv6 issues on random devices over the years.


There is kind of one now https://github.com/shift/ceefax-weather :D


What took you so long?!


Have you actually run it?


It would be strange if they used AI to create it, published on GitHub, and shared on HN, but didn't bother running it once...


Of course I have. It's nothing impressive and far from a 100% clone of the CEEFAX page. But its a start if someone wanted to take it further. I was more interested in trying out ratatui with Gemini.


It's more work for someone to take your AI slop and iterate it, than to just generate a new AI project themselves. You're contributed only noise.

If it was close to the CEEFAX page then it would be useful as a project. If you included the prompts then it would have educational use for others.


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