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This Week’s Awesome Tech Stories From Around the Web (Through November 29)

ohog5 by ohog5
November 30, 2025
in Tech
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This Week’s Awesome Tech Stories From Around the Web (Through November 29)
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Artificial Intelligence

The AI Boom Is Based on a Fundamental MistakeBenjamin Riley | The Verge

“The issue is that in keeping with present neuroscience, human considering is essentially impartial of human language—and now we have little purpose to consider ever extra refined modeling of language will create a type of intelligence that meets or surpasses our personal.”

COMPUTING

Why Google’s Custom AI Chips Are Shaking Up the Tech IndustryAlex Wilkins | New Scientist ($)

“Nvidia’s place because the dominant provider of AI chips could also be beneath risk from a specialised chip pioneered by Google, with reviews suggesting corporations like Meta and Anthropic need to spend billions on Google’s tensor processing models.”

Biotechnology

What’s Next for AlphaFold: A Conversation With a Google DeepMind Nobel LaureateWill Douglas Heaven | MIT Know-how Evaluation ($)

“It was 5 years in the past this week that AlphaFold 2’s debut took scientists unexpectedly. Now that the hype has died down, what influence has AlphaFold actually had? How are scientists utilizing it? And what’s subsequent? I talked to Jumper (in addition to a couple of different scientists) to search out out.”

ROBOTICS

A Humanoid Robot-Shaped Bubble Is Forming, China WarnsRobert Hart | The Verge

“Talking at a press briefing, Nationwide Growth and Reform Fee spokesperson Li Chao stated China’s humanoid robotics trade must stability ‘the pace of progress towards the chance of bubbles.’ Funding has been pouring into the sector regardless of there being few confirmed use circumstances for the bots, Li stated, risking a flood of ‘extremely comparable’ fashions as funding for analysis and improvement shrinks.”

Supermassive Dark Matter Stars May Be Lurking in the Early UniverseLeah Crane | New Scientist ($)

“We could have seen the primary hints of unusual stars powered by darkish matter. These so-called darkish stars might clarify a number of of essentially the most mysterious objects within the universe, whereas additionally giving us hints concerning the true nature of darkish matter itself.”

Tech

Crypto Winter Will Be Different This TimeKen Brown | The Info ($)

“[Stablecoins’] broader use additionally creates extra methods for a stablecoin disaster to emerge and unfold throughout the globe. It’s right here that the hyperlinks to the standard monetary system matter. If buyers dump their stablecoins, as they did with Circle, the businesses promote the belongings that again them, probably inflicting turmoil in Treasurys, cash markets, and the like.”

Future

MIT Study Finds AI Is Already Capable of Replacing 11.7% of US WorkersGrace Snelling | Quick Firm

“In an interview with CNBC, Prasanna Balaprakash, ORNL director and co-leader of the analysis, described [the Iceberg Index model] as a ‘digital twin for the US labor market.’ Utilizing that base of knowledge, the index analyzes to what extent digital AI instruments can already carry out sure technical and cognitive duties, after which produces an estimate of what AI publicity in every space appears like.”

Future

AI Isn’t Just Automating Jobs. It’s Creating New Layers of Human WorkEnrique Dans | Quick Firm

“When an AI drafts a report, somebody nonetheless has to confirm its claims (please, don’t forget this!), examine for bias, and rewrite the components that don’t sound correct. When an agent summarizes a gathering, somebody has to determine what really issues. Automation doesn’t erase labor; it simply strikes it upstream, from execution to supervision.”

COMPUTING

The First Large-Scale Cyberattack by AINury Turkel | The Wall Road Journal ($)

“A state-backed risk group, seemingly Chinese language, crossed a threshold in September that cybersecurity consultants have warned about for years. In keeping with a report by Anthropic, attackers manipulated its AI system, Claude Code, to conduct what seems to be the primary large-scale espionage operation executed primarily by synthetic intelligence.”



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