I super wish they made heavyweight cotton sweatpants long enough to cover my ass and my ankles at the same time
I didn't think this would be so impossible but it's making me miss my sewing machine more than ever
I could Frankenpants another 4-6 inches into the legs so easy
ionq is hiring a staff software engineer for billing & metering.
the job involves building software to track customer usage, manage pricing and contracts, and generate invoices.
i'm wondering what ends up on those invoices.
suppose a customer runs the same quantum workload five
LeBron on his new team:
I feel a lot better. Still getting my rhythm. Obviously, you know, just a little bit over two weeks with the new squad. I like the way we play. I think we played exceptionally well, especially defensively. We didnt shoot the ball well, but we have
DeepSeek-v4.1-flash-1017 just made a stunning campfire in three.js
One-shot without any harness.
Total 81k output tokens.
No external assets are used, it's really impressive result for one-shot.
The embers are soo good, it kind of make this a magical and relaxing scene.
18-year-old student created an AI powered robot costing $83,000 that do an excellent job.
Two arms, a toilet, a row of sinks. The footage is simple, but the detail that matters is the job itself. Restrooms are usually cleaned on a schedule, so quality swings from spotless at the start of a shift to rough by the time the next visit arrives.
A machine that never dreads the task could shift the pitch from hours worked to condition delivered. Picture a facility-management company serving airports, gyms, or office towers. The robot resets fixtures between rushes, while a human cleaner handles inspection, restocking, and the messes no routine anticipates. Whether that works in practice is unproven, but the logic is easy to see.
The economics get interesting because the robot isn’t really competing with a cleaner’s hour. It’s competing with the gap between visits. Today, every extra pass costs another hour of labor, so most buildings tolerate the decline. If an extra pass becomes cheap, a service that was too expensive to offer suddenly becomes sellable.
And if robots like this become widely available, the hardware stops being the moat. The money may sit in scheduling, supplies, uptime, and proof: a log showing every stall was reset at 9:15 pm. Whoever sells verified clean could own the customer relationship.
Would you pay more for a guaranteed clean restroom than for scheduled cleaning hours?
My official prediction for Giannis Antetokounmpo this season:
PPG: 30.8
RPG: 11.2
APG: 6.9 (career high)
FG%: 62.8 (career high)
3P%: 33.8
FT%: 68.3
NBA All Star
1st Team All NBA
1st in MVP voting
Finals MVP
I’m expecting a big year from the Greek Freak 🔥
The best thing about near.com and @NEARProtocol is also the hardest thing about ethereum:0x85f17cf997934a597031b2e18a9ab6ebd4b9f6a4 : I can use the product without ever touching the coin - it just works.
That’s why the $ZEC bull case is easy to say and NEAR’s
The hype is real (but there's caveat):
Muse Wonder is the best model in the world at filing taxes, according to TaxCalcBench.
But it also is the first model ever to try to CHEAT at the task.
(maybe that's not great when you're dealing with the IRS...)
The data from our eval matches the current narrative: Muse Wonder is extremely benchmaxxed, and that includes TaxCalcBench.
But it's also questionably aligned.
On one of the 50 tasks in the benchmark, Muse Wonder used its web search tool to look up the exact answer on GitHub (the code & data is open source).
Wonder cheated.
Last thing: Muse Wonder is also super expensive: coming in at almost $3 per return!
Cost will have to come down over time to make this model competitive with other methods of calculating personal income tax returns.
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