Home Robotics This Week’s Superior Tech Tales From Across the Net (By means of April 1)

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

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


ChatGPT Is About to Revolutionize the Economic system. We Must Resolve What That Seems to be Like.
David Rotman | MIT Expertise Evaluation
“The optimistic view: it’s going to show to be a robust instrument for a lot of staff, enhancing their capabilities and experience, whereas offering a lift to the general economic system. The pessimistic one: corporations will merely use it to destroy what as soon as regarded like automation-proof jobs, well-paying ones that require inventive abilities and logical reasoning; a number of high-tech corporations and tech elites will get even richer, however it’s going to do little for total financial progress.”

Why Exams Supposed for People Would possibly 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 assessments, and studying and writing exams. Nevertheless, assessments designed for people is probably not good benchmarks for measuring LLMs’ capabilities. Language fashions embody data in intricate methods, typically producing outcomes that match or exceed common human efficiency. Nevertheless, the way in which they receive the data and use it’s usually incompatible with that of people. That may lead us to attract unsuitable conclusions from check outcomes.”

The Unbelievable Zombie Comeback of Analog Computing
Charles Platt | Wired
“When outdated tech dies, it often stays useless.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 Likewise, we gained’t see outdated analog computer systems in information facilities anytime quickly. They have 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 way more superior kinds than their historic ancestors will change the world of computing drastically and ceaselessly. Critically?”

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, advised me. They work as a result of they’re bonkers sufficient to interrupt via the noise of social media and get individuals speaking, he stated. However thus far, they’ve caught our consideration by twisting acquainted gadgets. Lab-grown meat, and all of the permutations of protein it makes potential, is pushing us into a brand new period of stunt advertising, one involving meals individuals 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] stated Astrolab would earn a living by lifting and deploying cargo for patrons on the lunar floor. That might embrace scientific devices. Sooner or later, the rover might assist construct lunar infrastructure. ‘Basically offering what I wish to name last-mile mobility on the moon,’ Mr. Matthews stated. ‘You may 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 answer.’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? May we do it? How a lot power 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 truly obtain a web acquire in power 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 at the least 2,400 regulation enforcement businesses, says police have run practically one million searches utilizing its service. The corporate’s database of photographs scraped from social media websites now reportedly numbers round 30 billion, a staggering 50% improve from figures reported simply final yr. Regardless of repeated fines and years of pushback from civil liberties organizations, the figures counsel enterprise remains to be booming for Clearview.”


Why the AI Business May Stand to Gradual Down a Little
Casey Newton | The Verge
“Tech protection tends to deal with innovation and the fast disruptions that stem from it. It’s usually much less adept at pondering 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 knowledge atmosphere, cybersecurity, and geopolitics—to call simply 4 issues—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 a bit extra thought put into how promoting can higher be built-in. When the entire mannequin is altering, the plain answer—that occurs to be lots like one you used within the outdated occasions—is unlikely to be the perfect.”

ChatGPT Can Exchange the Underpaid Employees Who Prepare AI, Researchers Say
Chloe Xiang | Motherboard
“In a brand new paper, political science researchers from the College of Zurich discovered that ChatGPT might 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 might 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 skilled annotators reminiscent of analysis assistants.”

Picture Credit score: Danist Soh / Unsplash



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