I don't quite understand the question. If she had had her phone, she could have called the driver using the information from the didi app, but she had no phone, so she didn't know who to call.
Around 2005, Google published MapReduce, THE parallel data processing paradigm. The ecosystem from Yahoo, Hortonworks etc overshadowed Google with Hadoop, Spark etc. Google then launched both paper and product when it came to cloud scheduling and transformers.
Umm, does a Nixfile have a "grammar" of a 140000+ records and 232000 attributes from its individual packages? Can a lightweight text editor underline an error?
I wanted to implement a similar tool in 2011, Ditz IIRC. The Redmine issue tracker was too finicky, it promised using a self-hosted and reliable repo as the source of truth and Netbeans as its frontend. I implemented Mercurial VCS and designated one machine as remote (a hghub) for ssh cloning and web interface, we didnt have any pesky subscriptions.
Do you remember the microwave antenna power stations that power from solar satellites? The Moore-like drop of solar prices killed solar satellites, solar greenhouses with turbine chimneys, TW superconductor submarine cables circling the world etc.
It's all based on vibes and whatever vague lies the companies put out about their financials. Marvels of corpo-nonsense speak such as "If we ignored every single cost we have, we're quite profitable!" seems to be very popular with the AI crowd
This sentiment aged extremely poorly with Anthropic's S1 now released. Turns out the "vibes" guys were right! I expect the goalpost will shift to claims that the S1 is fabricated in a larger than Enron fraud involving both the auditors and Anthropic.
You mean the S-1 docs where they state they're operating at a GAAP of -4% (even then that's based on their best 28 days multiplied by 13), meaning losing money? You sure showed the plebs with the impressive billions of dollars of loss!
Where exactly is my strawman? Scam Altman himself has said this, if we ignore the inconvenient parts of the business that loses all that money, they'd be super-duper profitable.
Anthropic said something similar, claiming to their investors they're profitable... If you ignore partner costs and the costs of training.
And mind you this is coming from a proven pathological liar who has a massive vested interest in over exaggerating his business' viability, so doubtless the "Very profitable" part is itself a massive lie.
Gross profitability always happens before net profitability, lol. "We've reached the first but not the second" isn't a deceptive claim, especially with the caveat in the same sentence, and it's a step that every net profitable company went through at some point in its life.
The correct quote is "If you ignore the costs that will come down in the future or stay fixed as userbase scales, then we are actually quite profitable"
Which is a basic truism of pretty much all startups, and nothing noteworthy or insightful to point out.
Why would you expect training costs to come down in the future? It seems to me that the labs themselves have concluded they can't stop training due to competition, which is why they're now asking the government to step in and shut down their competitors.
A year back, an internet stranger's Claude reported a take-home programming assignment had an instruction (to insert a watermark). Wonder if the latest chatbots report this to user.
HowStuffWorks used to be full of expert animations of automatic transmissions and helicopters around 2006 but they had a multipart article on spontaneous combustion, with anecdotes of 1890s people who retained too much ethanol.
Which country are you in where you cant take "call the driver" for granted?
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