This Week’s Superior Tech Tales From Across the Internet (By way of April 1)

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ChatGPT Is About to Revolutionize the Economic system. We Have to Resolve What That Seems Like.
David Rotman | MIT Expertise Evaluate
“The optimistic view: it’ll show to be a strong device for a lot of staff, bettering their capabilities and experience, whereas offering a lift to the general financial system. The pessimistic one: corporations will merely use it to destroy what as soon as appeared like automation-proof jobs, well-paying ones that require artistic expertise and logical reasoning; just a few high-tech corporations and tech elites will get even richer, however it’ll do little for general financial development.”

Why Exams Supposed for People May Not Be Good Benchmarks for LLMs Like GPT-4
Ben Dickson | VentureBeat
“In keeping with a technical report launched by OpenAI, GPT-4 performs impressively on bar exams, SAT math exams, and studying and writing exams. Nonetheless, exams designed for people might not be good benchmarks for measuring LLMs’ capabilities. Language fashions embody data in intricate methods, typically producing outcomes that match or exceed common human efficiency. Nonetheless, the way in which they get hold of the data and use it’s typically incompatible with that of people. That may lead us to attract mistaken conclusions from take a look at outcomes.”

The Unbelievable Zombie Comeback of Analog Computing
Charles Platt | Wired
“When previous tech dies, it normally stays useless. Nobody expects rotary telephones or including machines to return crawling again from oblivion. Floppy diskettes, VHS tapes, cathode-ray tubes—they shall relaxation in peace. Likewise, we gained’t see previous analog computer systems in knowledge facilities anytime quickly. They had been monstrous beasts: tough to program, costly to take care of, and restricted in accuracy. Or so I assumed. Then I got here throughout this confounding assertion: Bringing again analog computer systems in rather more superior kinds than their historic ancestors will change the world of computing drastically and perpetually. Significantly?”

The Woolly-Mammoth Meatball Is an All-Time Nice Meals Stunt
Yasmin Tayag | The Atlantic
i‘Sometimes sudden, humorous, or edgy, stunt meals are ‘pure advertising,’ Mark Lang, a advertising professor on the College of Tampa, informed me. They work as a result of they’re bonkers sufficient to interrupt via the noise of social media and get folks speaking, he mentioned. However to this point, they’ve caught our consideration by twisting acquainted gadgets. Lab-grown meat, and all of the permutations of protein it makes doable, is pushing us into a brand new period of stunt advertising, one involving meals folks could have by no means tried.”

A Large Rover Goals to Be Like ‘UPS for the Moon’
Kenneth Chang | The New York Occasions
“[Founder and CEO Jaret Matthews] mentioned Astrolab would generate income by lifting and deploying cargo for purchasers on the lunar floor. That might embrace scientific devices. Sooner or later, the rover may assist construct lunar infrastructure. ‘Primarily offering what I prefer to name last-mile mobility on the moon,’ Mr. Matthews mentioned. ‘You’ll be able to sort of consider it like being UPS for the moon. And on this analogy, Starship is the container ship crossing the ocean, and we’re the native distribution resolution.’i

Would Constructing a Dyson Sphere Be Value It? We Ran the Numbers.
Paul Sutter | Ars Technica
“What if we determined to construct a Dyson sphere round our solar? Might we do it? How a lot vitality wouldn’t it value us to rearrange our photo voltaic system, and the way lengthy wouldn’t it take to get our funding again? Earlier than we put an excessive amount of thought into whether or not humanity is able to this superb feat, even theoretically, we must always resolve if it’s definitely worth the effort. Can we really obtain a web acquire in vitality by constructing a Dyson sphere?”

Cops Used Creepy Clearview AI a Million Occasions, CEO Says
Mack DeGeurin | Gizmodo
“Clearview AI, the shady US facial recognition agency whose surveillance tech is utilized by no less than 2,400 regulation enforcement businesses, says police have run practically one million searches utilizing its service. The corporate’s database of pictures scraped from social media websites now reportedly numbers round 30 billion, a staggering 50% enhance from figures reported simply final yr. Regardless of repeated fines and years of pushback from civil liberties organizations, the figures counsel enterprise continues to be booming for Clearview.”

GOVERNANCE

Why the AI Business Might Stand to Sluggish Down a Little
Casey Newton | The Verge
“Tech protection tends to give attention to innovation and the speedy disruptions that stem from it. It’s sometimes much less adept at considering via how new applied sciences may trigger society-level change. And but the potential for AI to dramatically have an effect on the job market, the data setting, cybersecurity, and geopolitics—to call simply 4 considerations—ought to offers us all motive to assume larger.”

That Was Quick! Microsoft Slips Adverts Into AI-Powered Bing Chat
Devin Coldewey | TechCrunch
“Whereas nobody expects Microsoft, or Google, Amazon, Meta and all of the others to function these costly and computation-hungry language fashions out of the goodness of their hearts (assuming they’ve hearts and there may be good in them), it could be good to see just a little extra thought put into how promoting can higher be built-in. When the entire mannequin is altering, the plain resolution—that occurs to be rather a lot like one you used within the previous instances—is unlikely to be the very best.”

ChatGPT Can Exchange the Underpaid Staff Who Prepare AI, Researchers Say
Chloe Xiang | Motherboard
“In a brand new paper, political science researchers from the College of Zurich discovered that ChatGPT may outperform crowd-workers who carry out textual content annotation duties—that’s, labeling textual content for use in coaching an AI system. They discovered that ChatGPT may label textual content with extra accuracy and consistency than human annotators that they discovered on Mechanical Turk, an Amazon-owned crowdsourcing platform, in addition to educated annotators similar to analysis assistants.”

Picture Credit score: Danist Soh / Unsplash

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