Artificial intelligence is rapidly advancing to the point where it may be able to write its own code, potentially leading to significant job displacement, societal problems, and concerns about unregulated use in areas like warfare.
## Questions to inspire discussion.
Career Adaptation.
đŻ Q: How should workers prepare for AIâs impact on employment? A: 20% of jobs including coders, medical, consulting, finance, and accounting roles will be affected in the next 5 years, requiring workers to actively learn and use large language models to enhance productivity or risk being left behind in the competitive landscape.
Economic Policy.
đ Q: What systemic response is needed for AI-driven job displacement? A: Government planning is essential to manage massive economic transitions and job losses as AIâs exponential growth reaches a tipping point, extending beyond manufacturing into white-collar professions across multiple sectors.
CISA ordered U.S. government agencies on Thursday to secure their systems against a critical Microsoft Configuration Manager vulnerability patched in October 2024 and now exploited in attacks.
Microsoft Configuration Manager (also known as ConfigMgr and formerly System Center Configuration Manager, or SCCM) is an IT administration tool for managing large groups of Windows servers and workstations.
Tracked as CVE-2024â43468 and reported by offensive security company Synacktiv, this SQL injection vulnerability allows remote attackers with no privileges to gain code execution and run arbitrary commands with the highest level of privileges on the server and/or the underlying Microsoft Configuration Manager site database.
The future of innovation in both government and industry will not be distinguished by singular breakthroughs, but rather by the convergence and meshing of a number of different new technologies. Going forward, industries, national security, economic competitiveness, privacy and almost every aspect of everyday life will all be reshaped as a result of this integrated ecosystem, which encompasses artificial intelligence, quantum computing, improved connectivity, space systems and other areas.
Twelve crucial technical domains will help propel the federal government toward this convergent transformation.
Questions to inspire discussion AI Model Performance & Capabilities.
đ€ Q: How does Anthropicâs Opus 4.6 compare to GPT-5.2 in performance?
A: Opus 4.6 outperforms GPT-5.2 by 144 ELO points while handling 1M tokens, and is now in production with recursive self-improvement capabilities that allow it to rewrite its entire tech stack.
đ§ Q: What real-world task demonstrates Opus 4.6âs agent swarm capabilities?
A: An agent swarm created a C compiler in Rust for multiple architectures in weeks for **$20K, a task that would take humans decades, demonstrating AIâs ability to collapse timelines and costs.
đ Q: How effective is Opus 4.6 at finding security vulnerabilities?
Indian defense sector and government-aligned organizations have been targeted by multiple campaigns that are designed to compromise Windows and Linux environments with remote access trojans capable of stealing sensitive data and ensuring continued access to infected machines.
The campaigns are characterized by the use of malware families like Geta RAT, Ares RAT, and DeskRAT, which are often attributed to Pakistan-aligned threat clusters tracked as SideCopy and APT36 (aka Transparent Tribe). SideCopy, active since at least 2019, is assessed to operate as a subdivision of Transparent Tribe.
âTaken together, these campaigns reinforce a familiar but evolving narrative,â Aditya K. Sood, vice president of Security Engineering and AI Strategy at Aryaka, said. âTransparent Tribe and SideCopy are not reinventing espionage â they are refining it.â
Are we chasing the wrong goal with Artificial General Intelligence, and missing the breakthroughs that matter now?
On this episode of Digital Disruption, weâre joined by former research director at Google and AI legend, Peter Norvig.
Peter is an American computer scientist and a Distinguished Education Fellow at the Stanford Institute for Human-Centered Artificial Intelligence (HAI). He is also a researcher at Google, where he previously served as Director of Research and led the companyâs core search algorithms group. Before joining Google, Norvig headed NASA Ames Research Centerâs Computational Sciences Division, where he served as NASAâs senior computer scientist and received the NASA Exceptional Achievement Award in 2001.He is best known as the co-author, alongside Stuart J. Russell, of Artificial Intelligence: A Modern Approach â the worldâs most widely used textbook in the field of artificial intelligence.
Peter sits down with Geoff to separate facts from fiction about where AI is really headed. He explains why the hype around Artificial General Intelligence (AGI) misses the point, how todayâs models are already âgeneral,â and what truly matters most: making AI safer, more reliable, and human-centered. He discusses the rapid evolution of generative models, the risks of misinformation, AI safety, open-source regulation, and the balance between democratizing AI and containing powerful systems. This conversation explores the impact of AI on jobs, education, cybersecurity, and global inequality, and how organizations can adapt, not by chasing hype, but by aligning AI to business and societal goals. If you want to understand where AI actually stands, beyond the headlines, this is the conversation you need to hear.
In this episode: 00:00 Intro. 01:00 How AI evolved since Artificial Intelligence: A Modern Approach. 03:00 Is AGI already here? Norvigâs take on general intelligence. 06:00 The surprising progress in large language models. 08:00 Evolution vs. revolution. 10:00 Making AI safer and more reliable. 12:00 Lessons from social media and unintended consequences. 15:00 The real AI risks: misinformation and misuse. 18:00 Inside Stanfordâs Human-Centered AI Institute. 20:00 Regulation, policy, and the role of government. 22:00 Why AI may need an Underwriters Laboratory moment. 24:00 Will there be one âwinnerâ in the AI race? 26:00 The open-source dilemma: freedom vs. safety. 28:00 Can AI improve cybersecurity more than it harms it? 30:00 âTeach Yourself Programming in 10 Yearsâ in the AI age. 33:00 The speed paradox: learning vs. automation. 36:00 How AI might (finally) change productivity. 38:00 Global economics, China, and leapfrog technologies. 42:00 The job market: faster disruption and inequality. 45:00 The social safety net and future of full-time work. 48:00 Winners, losers, and redistributing value in the AI era. 50:00 How CEOs should really approach AI strategy. 52:00 Why hiring a âPhD in AIâ isnât the answer. 54:00 The democratization of AI for small businesses. 56:00 The future of IT and enterprise functions. 57:00 Advice for staying relevant as a technologist. 59:00 A realistic optimism for AIâs future.
How Elon plans to launch a terawatt of GPUs into space.
## Elon Musk plans to launch a massive computing power of 1 terawatt of GPUs into space to advance AI, robotics, and make humanity multi-planetary, while ensuring responsible use and production. ## ## Questions to inspire discussion.
Space-Based AI Infrastructure.
Q: When will space-based data centers become economically superior to Earth-based ones? A: Space data centers will be the most economically compelling option in 30â36 months due to 5x more effective solar power (no batteries needed) and regulatory advantages in scaling compared to Earth.
âïž Q: How much cheaper is space solar compared to ground solar? A: Space solar is 10x cheaper than ground solar because it requires no batteries and is 5x more effective, while Earth scaling faces tariffs and land/permit issues.
Q: What solar production capacity are SpaceX and Tesla planning? A: SpaceX and Tesla plan to produce 100 GW/year of solar cells for space, manufacturing from raw materials to finished cells in-house.
NEUNew Maximizing Tumor Resection and Managing Cognitive Attentional Outcomes: Measures of Impact of Awake Surgery in Glioma Treatment by Zigiotto et al at âS. Chiaraâ University-Hospital, Azienda Provinciale per i Servizi Sanitari, Trento, Italy Congress of Neurological Surgeons (CNS)
including attention. Understanding how AwS and AsS affect attention is crucial, given its pivotal role in supporting various cognitive functions.
METHODS:
We conducted a retrospective analysis on 64 glioma patients treated with AwS or AsS. Attention was assessed with visual search tasks and Trail Making Test Part A before and 1 week and 1 month after surgery. Volumetric T1-weighted and T2/Fluid Attenuated Inversion Recovery MRI sequences before and after surgery were used to delineate the lesion and the surgical cavity. The extent of resection was calculated to determine supramaximal resection for both contrast-enhanced and nonâcontrast-enhanced tumor regions.
