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Saturday, February 1, 2025

This Week’s Superior Tech Tales From Across the Net (Via July 13)


OpenAI Reportedly Nears Breakthrough With ‘Reasoning’ AI, Reveals Progress Framework
Benj Edwards | Ars Technica
“[According to OpenAI’s new AGI framework] a Stage 2 AI system would reportedly be able to primary problem-solving on par with a human who holds a doctorate diploma however lacks entry to exterior instruments. Throughout the all-hands assembly, OpenAI management reportedly demonstrated a analysis mission utilizing their GPT-4 mannequin that the researchers consider reveals indicators of approaching this human-like reasoning means, in line with somebody aware of the dialogue who spoke with Bloomberg.”

How AI Revolutionized Protein Science, however Didn’t Finish It
Yasemin Saplakoglu | Quanta
“Three years in the past, Google’s AlphaFold pulled off the most important synthetic intelligence breakthrough in science up to now, accelerating molecular analysis, and kindling deep questions on why we do science. …’The sector of protein biology is ‘extra thrilling proper now than it was earlier than AlphaFold,’ Perrakis mentioned. The joy comes from the promise of reviving structure-based drug discovery, the acceleration in creating hypotheses, and the hope of understanding complicated interactions occurring inside cells.”

New Fiber Optics Tech Smashes Knowledge Fee Report 
Margo Anderson | IEEE Spectrum
“A global workforce of researchers have smashed the world document for fiber optic communications by commercial-grade fiber. By broadening fiber’s communication bandwidth, the workforce has produced knowledge charges 4 instances as quick as present industrial techniques—and 33 p.c higher than the earlier world document.”

‘Superhuman’ Go AIs Nonetheless Have Bother Defending Towards These Easy Exploits
Kyle Orland | Ars Technica
“Within the historic Chinese language sport of Go, state-of-the-art synthetic intelligence has typically been capable of defeat the perfect human gamers since at the very least 2016. However in the previous few years, researchers have found flaws in these top-level AI Go algorithms that give people a combating likelihood. Through the use of unorthodox ‘cyclic’ methods—ones that even a starting human participant might detect and defeat—a artful human can typically exploit gaps in a top-level AI’s technique and idiot the algorithm right into a loss.”

Google Creates Self-Replicating Life From Digital ‘Primordial Soup’
Matthew Sparkes | New Scientist
“A self-replicating type of synthetic life has arisen from a digital ‘primordial soup’ of random knowledge, regardless of an absence of express guidelines or targets to encourage such conduct. Researchers consider it’s doable that extra subtle variations of the experiment might yield extra superior digital organisms, and in the event that they did, the findings might make clear the mechanisms behind the emergence of organic life on Earth.”

How Good Is ChatGPT at Coding, Actually?
Michelle Hampson | IEEE Spectrum
“Programmers have spent a long time writing code for AI fashions, and now, in a full circle second, AI is getting used to jot down code. However how does an AI code generator examine to a human programmer? [A new study shows] that ChatGPT has a particularly broad vary of success with regards to producing useful code—with successful fee starting from anyplace as poor as 0.66 p.c and pretty much as good as 89 p.c—relying on the problem of the duty, the programming language, and a variety of different components.”

OpenAI Anticipates Lower in AI Mannequin Prices Amid Adoption Surge
Shubham Sharma | VentureBeat
“‘We launched GPT-4, the primary model, some 15 months in the past. Since then, the price of a token/phrase on the mannequin has been lowered by 85-90%. There’s no motive why that pattern won’t proceed,’ Olivier Godement, [OpenAI’s] head of API Product mentioned. …He expects the corporate’s work on affordability, spanning efforts to optimize prices at each {hardware} and inference ranges, will proceed, resulting in an extra decline in the price of operating frontier AI fashions—very similar to what has been the case with smartphones and televisions.”

Watch These Supernovas in (Time-Lapse) Movement
Dennis Overbye | The New York Occasions
“This spring, the astronomers who function Chandra mixed its X-ray photographs into movies that doc the evolution of two astrophysical landmarks: the Crab nebula, within the constellation Taurus, and Cassiopeia A, a fuel bubble and hub of radio noise within the constellation Cassiopeia. The movies present twisting, drifting ribbons of the stays of the star being churned by shock waves and illuminated by radiation from the dense, spinning cores left behind.”

Picture Credit score: BoliviaInteligente / Unsplash

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