Very healthy political environment we have where Mamdani proposing a tax on $5m+ pied-a-terre apartments is Stalinism, but randomly taxing nearly every imported good to the tune of $166B via an obviously illegal process of executive fiat is a nothingburger that causes no outrage whatsoever.
Quisling is such a Tolkien coded term that I never realized it comes from a Norwegian collaborator's surname. It just sounds too much like the name of whatever type of goblin that Smeagol turns into, just a smirking evil loser.
Textbook example of how just reporting facts doesn't make you politically neutral. An article like this does more to normalize the corruption of the administration than a nakedly pro-Trump one would.
Like Zinn said, you can't be neutral on a moving train.
Republicans govern like 80% of Americans are Republicans and so do Democrats.
Didn't you hear? New York City is the Tirana of America.
Because Codex uses bubblewrap to create unprivileged user namespaces for its workspace isolation, everything it attempts to run fails silently and becomes a user prompt. You will think the prompt settings are broken, but it's just AppArmor again.
It isn't able to debug this problem itself.
Lilli Tagger has ripped several sumptuous down the line winners in Linz; she's got the most aesthetic oney across the ATP/WTA right now and perhaps for some time to come.
The way she holds her left arm down while hitting the backhand reminds me more of Henin than it does of her coach Schiavone.
A friend sent me the NASA "eyes" visualizations and they are absolutely wonderful.
How exactly does JWST stay at L2? Where are JUICE and Europa Clipper on their journey to Jupiter? What do the orbits of exoplanetary systems look like? See for yourself:
science.nasa.gov/eyes/
It's definitely worth tuning into Artemis even if this is "just" a flyby. It's very fascinating and inspiring.
Thinking that a text has an inherent meaning that is context free and ideologically neutral is a classic fallacy. His work is apologetics for white nationalists.
The album cover to "Please mr Lostman", with Sato, Sawao Yamanaka and Yoshiaki Manabe from left to right.
A picture of an autograph panel from "The Pillows" at the famous tonkotsu ramen shop "ShinShin" in Fukuoka, taken by me Feb 2026.
Sad to hear that Shinichiro Sato, the drummer of "The Pillows" has passed away.
When I think of Sato, I think of "Funny Bunny", one of their best songs. But I also think about cornering him and Manabe outside Pianos in NYC and asking them to play Swanky Street at their next show.
They did.
A lot of this data is made public already, your staffers could certainly understand + summarize it.
Google eg. publishes fairly good sustainability transparency reports which show a clear progression over time: datacenters.google/efficiency/
Or, my summary:
jmoiron.net/blog/on-ai-e...
The people who are getting the best results have incredibly tight correctness guardrails and are parallelizing the maintenance process, essentially adding a multiplier on top of that 1.5x maintenance advantage, letting their testing controls prune invalid or unfavored results.
A vital skill that good software engineers develop over time is knowing when a pattern is real and affords you leverage to make material organizational improvements and when a pattern is weak or coincidental and extracting it just makes things worse.
LLMs are really poor at this, too.
I'd like to explore why this happens in a bit more detail, and maybe I will if I get back to that post, but at its core, it comes down to an LLMs "preference" for generation over consolidation compounding over time.
Which isn't surprising. They are generative models.
But LLM code generation is kind of the inverse of that old 3 step owl drawing process. It starts by producing you a nearly finished Owl, and then you spend the rest of your time struggling to get it to fix one thing without breaking another.
It's well known that programmers all think they're at least 2-5x better than they are, that's why our estimates are always crap.
But using an LLM you really can produce some decent software in a proverbial weekend. I "wrote" my own Kanban board over the course of ~3 days this week.
A lot of people are rightfully asking, "If LLMs make software development so much faster, where's all the great software?"
I think the answer is that LLMs are a 10x improvement on building software but only ~1.5x on maintaining it, and most software development is maintenance.
I have a half-written post about how LLMs are great producers and good summarizers, but they've are poor organizers. This might be a reflection on ourselves, given how they're trained.
This can all feel contradictory initially.
Another example of what I wrote about in "Wirth's Revenge."
Your first prompt for an unfamiliar problem should be "explain 3 ways to solve this problem."
People imagine these simple data manipulations are easy for LLMs, but they lack the fine motor skills to do this type of work.
I love the term "zombie information environment" too.
People thought that Apple products were too incompatible to be useful well into OSX's lifetime. I still have to explain to some people that Korean cars are in fact good now.
I wonder if there's a case for a breach of fiduciary duty among the executives at CBS.
They've hired an inexperienced and incompetent administrator whose prior body of work has been oriented around undermining legacy media to helm their legacy media operation, which she's promptly destroyed.
I'd put together a trip through Morocco for my next "journey", but street view coverage there is very poor, so going with a ~650km mostly coastal ride from Rio to São Paulo.
"I think many people find the stupidity and incompetence of this administration deeply offensive. Institutions of political power are usually aspirational: Politicians [..] broadcast a vision of our better selves. The Trump administration is the opposite; it even lies artlessly."
-- M. Gessen
Denis Villeneuve: So Robert in this film you play Scytale, who is a face dancer that has the power to shape shift.
Robert Pattinson: That sounds like a great role, who am I going to look like?
DV: You will look like Paul Bettany.
RP: Oh, okay.. and?
DV: And what?
Another amazing deal on offer from mr good deals where European energy companies get $1bn and the US gets nothing except increased fossil fuel dependence in the midst of an oil shock of its own design.
Indistinguishable from sabotage.
www.nytimes.com/2026/03/17/c...
Finally completed my "virtual cycling trip" from Torre de Belem in Lisbon to Plaza de España in Sevilla.
I plotted a cycling route on Google Maps and loaded it into incyclist.com Quite a few backroads had no coverage, but overall it was a fun way to gamify some exercise.
OTOH, if inference is already a bad business how are bigger models going to make it better? Not that it's surprising for delusional SV narcissists to play roulette with the entire US economy, but if this is true and it all blows up, I don't see what distinguishes it from eg. FTX.
If inference is already super profitable then I don't understand why the practice around quotas is so vague and they've been pulling back access consistently over the past few years. That feels a lot more like a company tuning for profitability/oversubscription.
