| By @badmonster0 [ 4 Min read ] But CocoIndex flips that approach on its head. Data Flow Programming is a declarative programming model where: This is fundamentally different from workflow orchestrators, where tasks are orchestrated in time and data is often opaque. In CocoIndex, data is the primary unit of composition, not tasks... Read More |
| By @maxo1st [ 11 Min read ] Both companies were able to boast huge profits with this business model: $155 million for Circle and even $13 billion for Tether [10]. MiCA covers the topic of stablecoins and defines two different categories of them. Electronic Money Tokens [4]: Asset-Referenced Tokens [4]: Appendix/Vocabulary References:.. Read More |
| By @aslin [ 3 Min read ] As China surges toward AI dominance, the West must ask: what kind of future should it be building? But we fall short on the fundamentals; data superiority, compute power, energy and talent. What this strategy could look like.. Read More |
| By @devfamdk [ 3 Min read ] It’s been years of someone saying, “Hey, can we make this app installable and work offline too?” So I did what any reasonable dev with too much coffee and not enough patience would do: I built my own damn package. So I built that. Stay cached!.. Read More |
| By @udacity [ 5 Min read ] Udacity surveyed 2,500 professionals about their AI journey and accidentally discovered a bit of magic in the future of work. Decades later, I'm watching workers have that same moment with AI. (Shameless plug time) Here’s a quick overview of what we’ve built. I think you’re going to love it... Read More |
| Additional Stories of your interest: |
| An American and a Soviet spacecraft docked in orbit for the first time, marking a major milestone in the Cold War space race and paving the way for international space cooperation. |
|
|
| As OpenAI, Anthropic, and Google DeepMind push the frontiers of artificial intelligence, critics warn of a growing concentration of power. Startups and open-source labs are struggling to compete, raising concerns about innovation bottlenecks, transparency, and long-term safety. Meanwhile, regulators in the U.S. and EU are beginning to scrutinize how AI models are developed, distributed, and monetized. Should governments intervene — or is the market still open enough to self-regulate? Yes — the AI oligopoly is dangerous No — competition will sort it out Only if smaller labs are being actively blocked Not sure — too early to tell |
| We hope you enjoy this 32 minutes worth of free reading material. Feel free to forward this email to a nerdy friend who'll love you for it. See you on Planet Internet! With love, The HackerNoon Team ✌️ |
|
|
|
