Captain Suave
Caesar si viveret, ad remum dareris.
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Did you know that 99.89% of people google shit at work?While we're talking about the inevitable cognitive decline that results from outsourcing cognitive functions to the machines
Gen Z started off dumb already but holy shit now they are fucked
Title: Cajun Taters
A Bayou Comedy of Errors
Logline:
Channing Tatum is sent deep into the Louisiana bayou to prepare for his role as Gambit in the MCU. His agent, played by Keegan-Michael Key, sets him up to live with a no-nonsense Cajun named Taters Chanel (also played by Tatum). Over three months, the duo embarks on a series of wild, politically incorrect, and often dangerous misadventures as Tatum struggles to adapt to bayou life, all while trying to master Gambit's accent and flair.
ACT 1: Fish Out of Water
Hollywood pretty boy Channing Tatum is riding high after being cast as Gambit, but his agent, Reggie (Key), insists that he needs to “authentically” embrace Cajun culture to nail the role. Reggie arranges for Tatum to stay with Taters Chanel, a grizzled, half-mad, possibly inbred Cajun hermit. Upon arrival, Tatum is immediately thrown into situations he never anticipated—sleeping in a shack on stilts, dodging gators, and eating food that’s either fried, fermented, or still moving. Taters, unimpressed with Tatum’s celebrity status, subjects him to a brutal crash course in Cajun life, including an initiation involving moonshine, a stolen airboat, and a questionable wrestling match with a nutria.
ACT 2: The Learning Curve
Tatum slowly adjusts to bayou life, but his attempts at learning the accent and mannerisms are disastrous. Taters insists on practical lessons, including backwoods gambling, poaching, and running various hustles in nearby towns. Each scheme leads to more chaos—whether it’s accidentally robbing a gas station (they thought it was a themed escape room), wrestling a literal bear at a backwater casino, or getting mixed up with a swamp crime lord known only as “Big Pappy.”
Reggie occasionally checks in, horrified at Tatum’s worsening hygiene and growing affinity for wearing overalls without a shirt. Despite the insanity, Tatum starts to respect Taters' way of life. But things take a turn when they stumble upon a local politician’s illegal gator-fighting ring, leading to a high-stakes showdown involving dynamite, a boat chase, and a very confused National Guard unit.
ACT 3: The Gambit Pays Off
As the three months come to an end, Tatum has transformed. He’s nailed the accent (sort of), picked up questionable survival skills, and developed a bizarre but genuine friendship with Taters. However, just as he’s about to leave, Big Pappy resurfaces, blaming them for his business falling apart. A final, absurdly over-the-top bayou battle ensues—airboats, homemade explosives, and a dramatic slow-motion alligator attack.
Tatum ultimately survives, barely, and returns to Hollywood with a newfound confidence and a questionable felony record. Reggie is thrilled to have him back, though horrified at his new pet possum and the distinct scent of swamp water that follows him everywhere.
As the credits roll, we see a clip of Tatum’s final Gambit screen test. He nails the accent, winks at the camera... and then accidentally blows up the entire set with an ill-advised card trick.
FADE TO BLACK.
You need to do that yourself, there's usually too many mistakes, alternate names and common names to be lazy about it.I just tried to use Grok 3 to do some simple family tree building using the memorial pages on Find A Grave and it is shockingly bad. I mean, I can't even tell where it is pulling data from bad. All the data and links it needs are right there on each page, birth/death day and parents grave site memorial links under a heading called "Parents, but it just refuses to use these very simple and obvious items. If this is the peak of AI right now, I am thoroughly unimpressed.
You need to do that yourself, there's usually too many mistakes, alternate names and common names to be lazy about it.
Ancestry.com uses a mix of AI, genetics and crowd sourcing. It's excellent for doing this at least in the UK which has 200 years of census data.
Even then I'm only trusting genetic matches to build out unknown braches of the family tree.
Its not just Grok. Its LLM's in general. They are woefully bad in certain fields that you would "think" would be incredibly simple. But on that same note, where they have a lot of focus - theyre incredibly useful. That airplane game linked here was made entirely by LLM's using a sort of "plugin." The game itself isnt something special, but the fact that it can make a working program with little instruction from the user is pretty impressive.Why would I do it myself when it is literally just following embedded links in a page and creating a simple diagram? Time consuming for a human, incredibly easy for a computer. This should be something that AI excels at, but it is woefully bad. It can't even correctly identify birth/death dates from the base memorial page, both of which are very clearly labeled.
Why would I do it myself when it is literally just following embedded links in a page and creating a simple diagram? Time consuming for a human, incredibly easy for a computer. This should be something that AI excels at, but it is woefully bad. It can't even correctly identify birth/death dates from the base memorial page, both of which are very clearly labeled.
Anything mathematical (eg matching names, locations and dates) needs an algorithm or neural network, which is what ancestry.com does and it's extremely effective. You still need to verify.Why would I do it myself when it is literally just following embedded links in a page and creating a simple diagram? Time consuming for a human, incredibly easy for a computer. This should be something that AI excels at, but it is woefully bad. It can't even correctly identify birth/death dates from the base memorial page, both of which are very clearly labeled.
You are aggressively not understanding my point.Anything mathematical (eg matching names, locations and dates) needs an algorithm or neural network, which is what ancestry.com does and it's extremely effective. You still need to verify.
Large language models are for creative writing and search engine summaries.
You don't want mistakes in your family tree because someone had the same name and birth date as an ancestor, it happens a lot.
Beyond that, you don't want a garbage family tree because great grandma cheated on great grandad. You need a DNA match, ancestry.com does this.
Working 60-hour weeks will make the GPUs run faster.Lol what an amazing asshole.
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Sergey Brin says AGI is within reach if Googlers work 60-hour weeks
Google says it has no immediate plans to change work-from-home policies.arstechnica.com
Working 60-hour weeks will make the GPUs run faster.
Also why the fuck would people want to work 60-hour weeks to build a thing to replace themselves?
AI is nothing but the Great Replacement on steroids.