Right: it’s just context, it’s not a contract. Same with “skills”.
HN user
sollewitt
Vint took what could have been a prestige emeritus position at Google and turned it into a platform to champion accessibility and “Greyglers”. The man has more class than his suits.
I just want to call out that the craft in the webpage is exactly the kind of thing AI cannot produce: it's quirky and tasteful and combines modern web influences with graphic print traditions - it is awesome.
I think we need to unionize, across companies. We need to be able to block stuff like this, and to be able to demand that you can’t lay off someone to replace them with AI (bringing US workers rights up to the bar set by China). We also need to be able to hold our leadership to some kind of code of ethics. I don’t want to work for a company that makes kill bots, or can renege on climate pledges.
The write up is maybe out of date - they are for sale in the US: https://us.alessi.com/products/toru-electric-kettle
(From inheriting an Alessi electric kettle in past life: if you are an aesthete go for it. If you are an engineer in your soul stay away).
That would have made a great a reboot of the 90s Fiat Coupé.
In an attention economy the thing that pays is capturing attention - a terrifyingly finite thing that determines our lived experiences.
Rewarding people who are good that this is a compounding mistake.
The missing bit is a representation of knowledge, and a way to represent a learner’s comprehension.
Even if you shortcut by synthesizing a textbook in every major topic - that’s just one arbitrary representation, and the way topics overlap is outside of the material.
I am very interested in this though, if anyone has references to relevant research I’m all ears.
This is US centric, but you can show this to anyone in any major city in the western world and they will nod.
The problem is global. Any time you are told the problem is immigrants in your country or that your local politicians didn’t build enough housing - that’s not the root cause.
The root cause is the inevitable centralization of all wealth in corporations who can dodge taxes. This affords them the ability to accrue assets endlessly, buy politicians, achieve monopolies and bump up the prices.
There are 3 things that need to happen to restore the first frames: 1) some things like housing and healthcare must not be asset classes. It is unsustainable to demand profit growth year over year from either. 2) the wealth needs to be redistributed. It is a systemic risk for corporations and individuals to have accrued as much wealth and power as nations (and it doesn’t seem to be good for the mental health of those at the top) 3) we all need unions so workers can advocate for themselves and even the playing field. Including tech.
I’m not a communist, I think capitalism broadly works, but it requires regulation. We deregulated and it’s made a mess, we need to wind that back and patch the bad logic.
<nods> I had that reaction when they mailed me an offer to join a recruitment event sometime around 2013.
Not quite as creepy as recently when Anduril sent an email saying I was "on their radar".
From TFA: it was in port at the time.
Pine sap. You can get a schnapps of it, obviously.
Google is famously a slime mold.
I didn’t mean to be hyperbolic, for carbon footprint I’m looking at cumulative footprint since 1750 and not only recent annual footprint. I’m glad we agree, I take your notes.
In CA AB-435 is written to apply a 5-point fit test to anyone under 16.
If you don't count the externalities, sure. Healthcare is a cost too. We need more holistic accounting, the financialising of everything into a tidy but ultimately false P&L column is literally killing us.
Government physical mail is pretty great, you just need the right regulations.
Thanks - that’s the maddening with flakes - is it the thing under test or the thing doing the testing? Hermeticity is a lie we tell ourselves :)
I would be very interested in reading about this kind of orchestration and filtering than data acquisition if you have the energy for another post :)
But does it work? I’ve used LLMs for log analysis and they have been prone to hallucinate reasons: depending on the logs the distance between cause and effects can be larger than context, usually we’re dealing with multiple failures at once for things to go badly wrong, and plenty of benign issues throw scary sounding errors.
They are both the legislature and the judiciary.
Society needs art. Artists produce art. There a pantheon of greats that had no commercial success in their lives but moved our culture, we’d be so much more culturally impoverished if we’d insisted they become shit plumbers.
The bigger issue: datacenters in space are disposable. All the extremely recyclable aluminum, silica - you extract it, manufacture it and instead of recycling it when it’s done you incinerate it in the atmosphere and scatter the ashes far and wide across the earth, the harder to recapture later.
You do this when the most fragile part in the system fails. Solar panels good for 25 years but the SSDs burn out after 2? Incinerate the lot!
This kind of thinking is late capitalist brain rot. This kind of waste should be a crime.
Also Wired and weirdly People Magazine (and before they were all fired J17)
No, rockets landing themselves is just controlling the mechanism you use to have them take off, and builds on trust vectoring technology from 1970s jet fighters based on sound physics.
Figuring out how to radiate a lot of waste heat into a vacuum is fighting physics. Ordinarily we use a void on earth as a very effective _insulator_ to keep our hot drinks hot.
In 2026? Grift.
Your snipping is making it look broader than it is: you can’t misrepresent someone as being supportive of your product or cause, and you can’t distribute software that makes, or make yourself, likenesses of other people without their prior consent.
It doesn’t constrain what you do in contexts other than where you use someone’s likeness to misrepresent their position.
The harms are restricted to the scope above.
It’s an Easter egg, also for Times New Roman and a few others.
This is a story about what happens when you ask a machine a question it knows the answer to, but is afraid to give
It’s a story about how humans can’t help personifying language generators, and how important context is when using LLMs.
On the island of Ireland those people _are_ the overbearing Brits.