msn.com
Media is a ruthless, unstable business, and revenue streams are drying up; if you squint, you can see why CNN or Dow Jones might sign a contract that, after all, provides its audience with some kind of data. On air, Enten cites Kalshi odds alongside Gallup polls and Google searches—what’s the difference? “The data featured through our partnership with Kalshi is just one of many sources used to provide context around the stories or topics we are covering and has no impact on editorial judgment,” Brian Poliakoff, a CNN spokesperson, told me in a statement. Nolly Evans, the Journal’s digital general manager, told me that Polymarket provides the newspaper’s journalists with “another way to quantify collective expectations—especially around financial or geopolitical events.” In an email, Jack Suh, a Kalshi spokesperson, told me that the company’s partnerships are designed to inform the public, not to encourage more trading. Polymarket declined to comment. The problem is that prediction markets are ushering in a world in which news becomes as much about gambling as about the event itself. This kind of thing has already happened to sports, where the language of “parlays” and “covering the spread” has infiltrated every inch of commentary. ESPN partners with DraftKings to bring its odds to SportsCenter and Monday Night Football; CBS Sports has a betting vertical; FanDuel runs its own streaming network. But the stakes of Greenland’s future are more consequential than the NFL playoffs.
bitchat.free
bitchat is a decentralized peer-to-peer messaging application that operates over bluetooth mesh networks. no internet required, no servers, no phone numbers. traditional messaging apps depend on centralized infrastructure that can be monitored, censored, or disabled. bitchat creates ad-hoc communication networks using only the devices present in physical proximity. each device acts as both client and server, automatically discovering peers and relaying messages across multiple hops to extend the network's reach. this approach provides censorship resistance, surveillance resistance, and infrastructure independence. the network remains functional during internet outages, natural disasters, protests, or in regions with limited connectivity.
joinformal.com
Sandboxing agentic coding tools is a networking problem Allowlisting commands on a trusted host for an agentic coding tool can be somewhat fraught. Taking inspiration from Simon Willison:
youtube.com
Leading AI nations are racing to preserve dominance while new contenders rise and others struggle to break dependence on foreign capabilities. As alliances reshape the balance of power, how is AI redefining the path to economic growth and global influence?
youtube.com
AI is disrupting the traditional entry point into professional careers by automating junior roles from law to finance to creative fields, positions that graduates have long relied on to gain experience. As a result, 40% of workers are worried about job security and whether AI will eliminate the pathway to a long-term career. How can companies and workers adapt to ensure that career growth is still possible despite disruptions?
youtube.com
Digital embassies offer an emerging model that allows nations to extend sovereign digital infrastructure beyond their borders while maintaining control over data, compute and governance. However, establishing such arrangements requires political alignment, legal clarity and robust technical and operational safeguards. The Digital Embassy Framework, spearheaded by the World Economic Forum and co-developed with stakeholders, will provide a shared baseline for designing, governing and operating trusted digital embassies worldwide.
youtube.com
What choices must we make today to build a future balanced between technological innovation and humanity? Explore and discuss how a history of the future offers lessons for navigating the transformative age of AI.
youtube.com
a conversation between Dar Amade and Demis Hassabis last year in Paris. Um, which I'm afraid got most A credible pathway to artificial general intelligence (AGI) is increasingly coming into view as advances in scaling, multimodal systems and agentic models converge, placing growing demands on compute, data and energy resources. Which breakthroughs matter most on the road to AGI and what must be solved before the day after arrives?
dynalist.io
MI/mech int/mech interp/mechanistic interpretability: The field of study of reverse engineering neural networks from the learned weights down to human-interpretable algorithms. Analogous to reverse engineering a compiled program binary back to source code
dynalist.io
MI/mech int/mech interp/mechanistic interpretability: The field of study of reverse engineering neural networks from the learned weights down to human-interpretable algorithms. Analogous to reverse engineering a compiled program binary back to source code
youtube.com
AI is driving a multitrillion-dollar infrastructure buildout, with a race to expand chip production, build data centres and increase energy capacity. As the boom demands more capital, technological considerations are giving way to economic ones.
youtube.com
AI systems are advancing faster than expected and the next few years could redefine what we mean by intelligence. Will progress continue through scale alone, or are new breakthroughs in algorithms, data and agentic interaction needed to reshape the path ahead? | World Economic Forum Annual Meeting 2026
youtube.com
The next era of competitiveness will be won not by single breakthroughs but by nations that can integrate multiple advanced technologies into coherent industrial strategies. While AI dominates headlines, it is its interplay with advanced technologies such as compute, robotics, materials and energy that will decide which countries can scale and sustain future growth. What capabilities and governance structures must countries build for (re)industrialization and resilience?
youtube.com
As AI reshapes economies, societies and daily life, profound questions emerge about human dignity, moral agency and the essence of personhood. How can humanity navigate the promises and perils of AI, and what values should define us in an age of advanced artificial intelligence?
arxiv.org
EEG revealed significant differences in brain connectivity: Brain-only participants exhibited the strongest, most distributed networks; Search Engine users showed moderate engagement; and LLM users displayed the weakest connectivity. Cognitive activity scaled down in relation to external tool use. In session 4, LLM-to-Brain participants showed reduced alpha and beta connectivity, indicating under-engagement. Brain-to-LLM users exhibited higher memory recall and activation of occipito-parietal and prefrontal areas, similar to Search Engine users. Self-reported ownership of essays was the lowest in the LLM group and the highest in the Brain-only group. LLM users also struggled to accurately quote their own work. While LLMs offer immediate convenience, our findings highlight potential cognitive costs. Over four months, LLM users consistently underperformed at neural, linguistic, and behavioral levels. These results raise concerns about the long-term educational implications of LLM reliance and underscore the need for deeper inquiry into AI's role in learning.