Since South Korea’s democratisation in the late 1980s, more than half of presidents have been impeached, jailed or both. Lee Jae Myung’s legacy will thus in part depend on whether he can break the curse of the Blue House

If the literate mind shaped the modern world, what kind of world will the post-literate mind create? The surge in literacy and the democratisation of knowledge provided by Gutenberg's printing press helped ignite the Enlightenment. 500 years later, the internet is initiating a new transformation. But critics claim that beneath the internet's triumph of access lies a crisis of thought. Reading is in free-fall, with OECD data show literacy stagnating across the developed world. Are the rise of digital media and the decline of literacy dangerous trends that threaten our politics, culture, and thought itself, or should we celebrate the internet as a new and radical extension of Gutenberg's dream of democratising the production and distribution of knowledge? Tap here to watch Wikipedia founder Jimmy Wales @jimmy_wales, author and digital rights activist Cory Doctorow, and author Mary Harrington @moveincircles debate.

etoro Co-Founder and CEO @yoniassia joined @etnshow Live to discuss how AI is transforming investing, from the democratisation of finance and the rise of AI agents to etoro's evolution into an AI-first business and how our users are already embracing AI. Watch the full interview below (starting at 1:02:51). 👇

By 2030, Tesla's ambitions in EVs and robotics could outpace the world's ability to make enough chips. Not because demand won't be there. Because wafers physically can't keep up. That's the constraint @SassineGhazi, President & CEO of @Synopsys, laid out at RAISE Summit 2026, in conversation with @CNBC's @ArjunKharpal on the democratisation of engineering. His answer starts with how chips are designed in the first place. Instead of one monolithic block, chips are becoming heterogeneous: memory, compute, and networking assembled like Lego bricks inside an advanced package. AI is accelerating that shift faster than most people realise. Sassine mapped chip design to the same autonomy levels used for self-driving cars, L1 through L5, with his view, the industry has reached L4. A cognitive layer that can reason, coordinate agents, and handle design tasks on its own. The bottleneck isn't ambition. It's architecture. And it's being redesigned. Full conversation on our YouTube channel:

With the democratization of knowledge on social media, our confidence in experts is collapsing. But science and technology professor @ReinerGrundmann argues this is a radical mistake. The problem isn’t expertise, but the failure to distinguish between crucially different kinds of experts.

There was interesting research published called "Democratization of Retail Trading". That did a study on 1.6 Million $RDDT WSB comments. and found: 1. "WSB outperformed almost all investment banks at detecting top-performing stocks." 2. "Their average returns compete with the best investment banks and outperform them in certain cases." Their conclusion? "We conclude that WSB may indeed constitute a freely accessible, valuable source of investment advice." I do find WSB is really early to names like $RKLB, $HOOD, and others, but often get timing extremely wrong (with options). I think X is where all the alpha is at nowadays.

It is an interesting time to be an AI optimist and even more perplexing to be an AI bull. We are witnessing the diffusion and democratization of intelligence at an unprecedented rate. It will all but certainly transform the world and power economies for decades. If you have spent any time using the technology it is instantly evident how powerful and game changing it is. However, markets can be humbling. Right now we are in a tug-of-war between exponential growth and capital intensity. The Mag 7 is spending at a breakneck pace to position for long term viability and reduce existential risk to their business. And even with record revenue growth and great guidance, the market is calling its bluff. So what to believe when sentiment turns like it has in recent weeks? I believe we may see more downward pressure, but this is dislocation between the strength of the AI wave and the realities of the free cash flow crunch. The comparisons with the internet boom are largely a false flag. The adoption curve and demand for intelligence is nearly infinite and the growth of companies like Anthropic prove the demand continues to gain strength. This will continue to accelerate. The big question to ask is whether the thesis has changed and whether fundamentals have changed. In this case it is clearly a change in capital market structure and the impact is in the near term risk capital is nervous. I also think this market has presented more opportunity for long term investors and growth. Many great companies have lost a ton of near term value while fundamentals have improved. Hard to think that long-term minded investors won't do well buying strong performing names that are benefitting from the AI revolution. Next few months will be very interesting. I remain optimistic and bullish over the long term, but definitely believe sentiment has shifted bearish for now. Happy Sunday, Y'all.

🎉 has surpassed 2,400,612 users! From 2.3M to 2.4M, our growth hits another record high! Achieving consecutive milestones so quickly reflects strong trust from global developers and signals the fast acceleration of AI democratization. As core infrastructure for the AI Agent era, drives the efficient flow and accessible sharing of compute. From early exploration to production workloads, more innovations are rapidly incubating and landing on Above all models. Beneath all Agents. Every call is routed, metered, and settled here — is the global settlement layer for intelligence. 🌐 👉 Join us:

Lenovo: AI overall is far from a bubble. Actually, it is just the first stage of AI democratization. As it evolves and becomes more accessible, it will only generate more demand towards AI democratization. With that, we believe demand for memory will continue to rise for a considerable period ahead, at least by the end of next year. That means that the supply will be still constrained.