3 years into optimizing my R&D velocity
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submitted by /u/UsedConcern6830 [comments] |
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submitted by /u/UsedConcern6830 [comments] |
In a July 14 letter to investors released prior to IBM’s July 22 earnings call, CEO Arvind Krishna warned of the earnings shortfall and laid out current challenges. He related the infrastructure performance shortfall to “wrapping on the launch of z17 in the second quarter” and stated: “Given this was the strongest start to a mainframe…
One of the Russian government’s most elite hacking groups has adopted an attack, known as Clickfix, to compromise devices belonging to sensitive organizations in Ukraine, the latter country’s CERT center is warning. Clickfix has emerged as an effective attack technique that attackers, primarily financially motivated criminals, began using in the last year or so. Websites…
Share My Research is Synced’s column that welcomes scholars to share their own research breakthroughs with over 2M global AI enthusiasts. Beyond technological advances, Share My Research also calls for interesting stories behind the research and exciting research ideas. Meet the authorInstitutions: Penn State University, Duke University, Google DeepMind, University of Washington, Meta, Nanyang Technological University, and…
Major AI models are less likely to criticize governments and leaders known for restricting political speech than those in countries with stronger free-speech protections, according to a new review from the Meta-funded Oversight Board. The report, published Thursday, examines how laws restricting criticism of political leaders and governments shape AI outputs. The board tested 10…
In brief: It’s hard to miss a drone. With their spinning propellers and often bulky bodies, they’re usually very easy to spot. But Northwestern University engineers have created one that’s much more difficult to see coming: Phantom Twist, a prototype that rotates so quickly it becomes little more than a blurry haze. Rather than using…
The models were even more likely to stereotype people by demographic group than the human participants in the original study. On the study’s segregation scale, where 2 means every group has been completely confined to its own job niche, human participants scored 0.84. The models scored roughly 65% higher, with OpenAI’s reasoning model o3 scoring…