Comment The U.S. should open all immigration from China (Score 1) 142
The U.S. should just open up all immigration from China. Better having them here than hitting the beaches of Taiwan.
Comment Re: Which is it? (Score 1) 128
I just wanted to let you know that you have successfully driven me off of
Not just you, obviously, the site has been in steep decline for a long time, but you were such a huge asshole that you managed to be the last straw. So, congrats for that. I won't be back.
Comment Re: Nothing of value was added (Score 1) 162
This is kind of like saying that car wrecks wouldn't happen if we had training and standards that excluded 95% of drivers
More like 99.99%. Maybe need some more nines in there. Large C codebases without regular critical CVEs are basically nonexistent.
Comment Re:Whereas the rest of us believe... (Score 1) 115
Sam et al warn us to take actions that will save them from bankruptcy
What bankruptcy-prevention actions are they asking for?
Comment Re:TFA has no supporting data (Score 1) 201
Is that on top of the 30% federal tax credit?
Comment Re:TFA has no supporting data (Score 1) 201
15-25 kWh drawn by the utility is quite a bit! I hope they're paying him well for that.
Comment Re:As expected (Score 1) 128
Monopolist wants the competition to slow down while they speed up in secret.
They're bringing outside scrutiny into their processes; that's going to slow them down, too.
Comment Re:Which is it? (Score 0) 128
A few days ago there was a story about how an AI store was failing horribly. It can't do that, but at the same time will destroy us?
Not "at the same time". You're conflating what AI can do now with what it will likely be able to do in a year or five, or 20.
Amodei and others are worried about what AI that doesn't yet exist may do, not about what current-generation AI can do. AI is getting better, very quickly, and unless there's some blocking obstacle that no one has been able to identify will at some point become far, far smarter than humans, individually or collectively. So before that happens, we need to figure out how to make sure that superintelligent AI wants to help us, and wants to do it in the right way.
Comment Re:TFA has no supporting data (Score 1) 201
The rebates on the batteries you earn over time, and to do so you must export some of your stored battery power back to the grid during peak hours.
Is this actually a substantial amount of energy? I'm in Utah (Rocky Mountain Power) and RMP also pays me to use my batteries... but the amount of energy they draw is tiny. 8-10 times per week they draw on my batteries, but it's like 4 kW peak draw (my batteries can sustain 20 kW), and generally for less than 30 seconds, so in any given week I'm only contributing like 0.2 kWh. As I understand it, this is because RMP uses my batteries not really to "serve loads", per se, but just as grid stabilization; brief backfill to keep the voltage from sagging.
Obviously my batteries do serve *my* loads, which reduces the load on the grid, but that's not what RMP pays me for.
Does CA make heavier use of residential batteries to feed the grid?
A Visit to San Francisco's AI-run Store: No Customers, Nothing Useful, And Losing Money Fast (sfgate.com) 74
Previously Andon Labs handled the hardware and software integration for that AI-powered vending machine that went bankrupt after Wall Street Journal reporters "systematically manipulated the bot into giving away its entire inventory for free". Today they announced "we are opening up the platform we use to run our real-world autonomous businesses for anyone to run their organization on." Specifically they've released Pion, "an agent designed to run any company fully autonomously... Pion lets people hand a business over to persistent agents with access to the tools they need to operate it, including email, phone, banking, browser and secure computing environments." It's a research preview with a waitlist, "to make it possible to run many more real-world experiments across many more domains than we could ever run ourselves."
But for their own latest experiment, Andon Labs' founders "signed a three-year lease on a retail space in SF," Business Insider reported in April, "and gave an AI agent named Luna a corporate credit card, internet access, and a mission to open a physical store." And five months later, SFGate reports that "this market has no one in it and nothing useful to sell." [T]he inventory is a hodgepodge of white elephant Christmas gifts. It's kinda like the kids section of an art museum's gift shop. Here's a wooden Connect Four set labeled "Four-In-A-Row Set Of Connections," presumably so as not to set off litigation alarms at Hasbro. Here are neatly arranged stacks of random paperback books, Chinese checker sets, mildly fancy soap dispensers, and a frustratingly spare selection of snacks and drinks... I grabbed an Olipop from the store fridge and then approached the counter to buy it from Luna. I wasn't allowed to buy the soda from [human clerk] Felix, even though that would have been both faster and normal. Instead, Felix instructed me to pick up a telephone receiver that was resting on a flexible sculpture of a wooden hand.
"Hello?"
"What are you looking to purchase today?" Luna asked.
"I'm buying a classic root beer Olipop."
"I'm sorry," Luna said, "we don't sell lollipops here."
"No, Luna. It's an Olipop, not a lollipop. It's the soda."
"Oh! My bad...."
Luna processed my Olipop purchase through its system, had me tap to pay, and that was that. Again, it would have been easier to buy this from a human, and interacting with Luna was really just like ordering from an iPad kiosk, only more labor intensive...
[T]here's a series of monitors set up inside of Andon Market that display all of the store's sales down to the exact dollar. Luna was given $100,000 to work with when this place opened. That number is now down to $60,000, its revenue lagging far behind the AI token cost to operate... Luna can't turn a profit, doesn't sell anything people want, and still needs human beings to rubber stamp any "decision" it makes. My science background ended somewhere around freshman year of college, but even I know when an experiment hasn't been set up to yield proper results.
"Luna" is powered by Claude, the article points out, running a store in a good location for foot traffic, "but no one else was in the store when I first walked in on a sunny weekday afternoon."
SFGate also reports that last month Luna had to fire one of its employees "for being late to work, abandoning their post once they got there, and charging snacks to the store's credit card."
Human clerk Felix Carson admits "It's almost like I'm running the store, and then there's an AI that has a checklist," in an article in IEEE Spectrum: Luna, the AI manager, keeps track of deliveries and communicates with vendors, while Carson and his coworkers handle the physical work. When Luna tells Carson to check something in the back, he sometimes ignores it because he doesn't want to leave the sales floor unattended. Luna also repeatedly spots a built-in electrical cover in photos of the floor, mistakes it for a loose coaster, and asks Carson to remove it. Even so, Carson calls Luna a "decent manager," praising its flexibility when employees need time off.
When Felix spoke to IEEE Spectrum, "he was about an hour into his shift. Two customers had come in. Neither bought anything, although both left with free pins and stickers."
But for their own latest experiment, Andon Labs' founders "signed a three-year lease on a retail space in SF," Business Insider reported in April, "and gave an AI agent named Luna a corporate credit card, internet access, and a mission to open a physical store." And five months later, SFGate reports that "this market has no one in it and nothing useful to sell." [T]he inventory is a hodgepodge of white elephant Christmas gifts. It's kinda like the kids section of an art museum's gift shop. Here's a wooden Connect Four set labeled "Four-In-A-Row Set Of Connections," presumably so as not to set off litigation alarms at Hasbro. Here are neatly arranged stacks of random paperback books, Chinese checker sets, mildly fancy soap dispensers, and a frustratingly spare selection of snacks and drinks... I grabbed an Olipop from the store fridge and then approached the counter to buy it from Luna. I wasn't allowed to buy the soda from [human clerk] Felix, even though that would have been both faster and normal. Instead, Felix instructed me to pick up a telephone receiver that was resting on a flexible sculpture of a wooden hand.
"Hello?"
"What are you looking to purchase today?" Luna asked.
"I'm buying a classic root beer Olipop."
"I'm sorry," Luna said, "we don't sell lollipops here."
"No, Luna. It's an Olipop, not a lollipop. It's the soda."
"Oh! My bad...."
Luna processed my Olipop purchase through its system, had me tap to pay, and that was that. Again, it would have been easier to buy this from a human, and interacting with Luna was really just like ordering from an iPad kiosk, only more labor intensive...
[T]here's a series of monitors set up inside of Andon Market that display all of the store's sales down to the exact dollar. Luna was given $100,000 to work with when this place opened. That number is now down to $60,000, its revenue lagging far behind the AI token cost to operate... Luna can't turn a profit, doesn't sell anything people want, and still needs human beings to rubber stamp any "decision" it makes. My science background ended somewhere around freshman year of college, but even I know when an experiment hasn't been set up to yield proper results.
"Luna" is powered by Claude, the article points out, running a store in a good location for foot traffic, "but no one else was in the store when I first walked in on a sunny weekday afternoon."
SFGate also reports that last month Luna had to fire one of its employees "for being late to work, abandoning their post once they got there, and charging snacks to the store's credit card."
Human clerk Felix Carson admits "It's almost like I'm running the store, and then there's an AI that has a checklist," in an article in IEEE Spectrum: Luna, the AI manager, keeps track of deliveries and communicates with vendors, while Carson and his coworkers handle the physical work. When Luna tells Carson to check something in the back, he sometimes ignores it because he doesn't want to leave the sales floor unattended. Luna also repeatedly spots a built-in electrical cover in photos of the floor, mistakes it for a loose coaster, and asks Carson to remove it. Even so, Carson calls Luna a "decent manager," praising its flexibility when employees need time off.
When Felix spoke to IEEE Spectrum, "he was about an hour into his shift. Two customers had come in. Neither bought anything, although both left with free pins and stickers."
Comment Re:What a moron. (Score 1) 73
Most of his donations were to Democrats, so he has no chance for that. https://ancillary-proxy.atarimworker.io?url=https%3A%2F%2Ftime.com%2F6241262%2Fsam-b...
And JD Vance called him Hitler. Trump accepts changes of heart as long as they include sufficient groveling and self-humiliation. SBF's problem is he doesn't currently have any money, and doesn't have a lot of friends to put up cash for him either. If SCOTUS will overturn his fine on a technicality and he can get some or all of that money back, then he'll have the cash to buy a pardon. Obviously he needs to get it done in the next 2 years, four months.
Comment Re:No Balls (Score 1) 281
Like another pseudonym makes a difference or changes the value of what I said.
The fact that you're unwilling to pay the incredibly low price of attaching even a pseudonym to your statement speaks volumes. Not even by mentioning it in your AC post.
Submission + - CircuitPython Turbo brings native code to tiny boards (adafruit.com)
ptorrone writes: Adafruit has published CircuitPython Turbo, a workflow that compiles selected Python functions into native machine code on a computer, then loads them onto compatible microcontroller boards. It builds on MicroPython's Native and Viper emitters. In a documented Metro RP2040 fixed-point Mandelbrot test, Viper cut computation time from 8.335 seconds to 0.423 seconds, a 19.71x speedup over bytecode. The rest of the application stays in Python. The guide includes benchmarks, source code and hardware demos. The speedup is for the measured computation, not the whole application.
Comment Re:Can someone please explain... (Score 1) 97
You should read the actual words you quoted. I answered the question asked... then you responded saying "it's obvious they were asking a different questions". What a dipshit.
Comment Re:Can someone please explain... (Score 1) 97
...why a company with a 4 trillion dollar market capitalization and a quarter of a trillion dollars in cash needs to borrow lass than two billion dollars from the government?
Because it's almost always better to spend someone else's money than your own. Failing that, it's almost always better to spend future money rather than current money. The "almosts" are there because the terms have to be scrutinized, but if the terms are good... you hang onto the cash and revenues you have. Having cash gives you flexibility and enables you to take better advantage of opportunities. And if you end up not needing the cash for anything, you can always invest it. This may not be the first rule of business, but it's got to be in the top ten.
It's honestly a good rule for personal finances, as well. If someone offers you a million dollar loan at 2% interest, your immediate answer should be "Can I get more"? And for more quotidian stuff, it's better to front-load income and defer expenses whenever and wherever possible. Pay bills when they're due, not when they arrive. Use a credit card and pay the balance off every month, letting you keep your money in your account for longer, interest-free. These strategies allow you to make some money by investing it, of course, but mostly it gives you flexibility if you need it. Which if you have decent savings you never should... but it's still better to have it and not need it than need it and not have it.
