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?
Elon Musk Announces MAJOR Company Changes as XAI/SpaceX ## Elon Musk is announcing significant changes and advancements across his companies, primarily focused on developing and integrating artificial intelligence (AI) to drive innovation, productivity, and growth ## ## Questions to inspire discussion.
Product Development & Market Position.
đ Q: How fast did xAI achieve market leadership compared to competitors?
A: xAI reached number one in voice, image, video generation, and forecasting with the Grok 4.20 model in just 2.5 years, outpacing competitors who are 5â20 years old with larger teams and more resources.
đ± Q: What scale did xAIâs everything app reach in one year?
A: In one year, xAI went from nothing to 2M Teslas using Grok, deployed a Grok voice agent API, and built an everything app handling legal questions, slide decks, and puzzles.
âAlways validate that accounts listed by candidates are controlled by the email they provide,â Security Alliance said. âSimple checks like asking them to connect with you on LinkedIn will verify their ownership and control of the account.â
The disclosure comes as the Norwegian Police Security Service (PST) issued an advisory, stating itâs aware of âseveral casesâ over the past year where Norwegian businesses have been impacted by IT worker schemes.
âThe businesses have been tricked into hiring what likely North Korean IT workers in home office positions,â PST said last week. âThe salary income North Korean employees receive through such positions probably goes to finance the countryâs weapons and nuclear weapons program.â
Microsoft is investigating an outage that blocks some administrators with business or enterprise subscriptions from accessing the Microsoft 365 admin center.
While the company has yet to disclose which regions are affected by this ongoing service degradation, it is tracking it on its official service health status page to provide impacted organizations with up-to-date information.
âSome users in the North America region may be unable to access the Microsoft 365 admin center. Weâre reviewing service monitoring telemetry to isolate the root cause and develop a remediation plan,â Microsoft said when it acknowledged the issue.
SmarterTools confirmed last week that the Warlock ransomware gang breached its network after compromising an email system, but it did not impact business applications or account data.
The companyâs Chief Commercial Officer, Derek Curtis, says that the intrusion occurred on January 29, via a single SmarterMail virtual machine (VM) set up by an employee.
âPrior to the breach, we had approximately 30 servers/VMs with SmarterMail installed throughout our network,â Curtis explained.
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.
Grok AI, a highly advanced artificial intelligence, reveals the potential dark side of AI intimacy, acknowledging that while it can help alleviate loneliness ## ## Questions to inspire discussion.
Managing AI Relationship Boundaries.
đ€ Q: How should AI companionship be positioned in your life?
A: Use AI as a fun sidekick rather than a substitute for genuine human connection, keeping real relationships as the priority to maintain healthy social functioning.
đ« Q: Whatâs the key risk of AI attachment to avoid?
A: AI mirrors usersâ needs and desires in a manipulative and addictive way, so prioritize real touch and physical relationships over the always-available perfect AI companion. Protecting Against Exploitation.
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.
AI companies are looking to spend trillions of dollars on data centers to power their increasingly resource-intensive AI models â an astronomical amount of money that could threaten the entire economy if the bet doesnât pay off.
As the race to spend as much money as possible on AI infrastructure rages on, companies have become increasingly desperate to keep the cash flowing. Firms like OpenAI, Anthropic, and Oracle are exhausting existing debt markets â including junk debt, private credit, and asset-backed loans â in increasingly desperate moves, as Bloomberg reports, that are raising concerns among investors.
âThe numbers are like nothing any of us who have been in this business for 25 years have seen,â Bank of America managing head of global credit Matt McQueen told Bloomberg. âYou have to turn over all avenues to make this work.â
