Meta is partnering with UNESCO for speech/text data to build open-source AI. How much is this philanthropy vs. Meta improving its own language tools & addressing criticism of its content moderation in non-English languages
Fun Ans Latest Questions
So, DeepSeek is claiming they trained their AI model for way less money than OpenAI, like $5.6 million compared to over $100 million. Do you think that’s actually true, or is there some kind of catch?
DeepSeek’s cheaper AI model caused a stir. Is this a sign that the AI “arms race” is cooling down, or is this just the beginning of even wider AI adoption across different industries?
Hey everyone, saw this article about Fei-Fei Li’s take on AI policy, and it really resonated with me. She’s pushing for policy based on actual science, not the sci-fi stuff that gets everyone riled up. My question is, how the ...
Trump’s threatening tariffs on chips! How worried should we be about MediaTek’s future? Are they just saying “manageable” to calm investors, or do they have a real plan? And what about this DeepSeek AI thing – is that a threat ...
I’m confused! Some say if it’s OSI-approved, it’s open source. But what about projects with limited community input or vendor control? Is that really open source? Is vendor-owned open source an oxymoron?
What specific factors (government support, university talent, etc.) are most responsible for the rapid growth of these Hangzhou-based tech startups? Are these factors replicable in other Chinese cities, and what are the potential challenges to their long-term success?
Apple’s robot lamp reminds me of Pixar’s Luxo Jr! Do you think this expressive movement research will actually lead to a real product, like a more engaging smart home hub? Or is it more about exploring possibilities & less about ...
How does DeepSeek R1’s wider availability on platforms like AWS, Nvidia, and GitHub, combined with its lower training cost, affect the overall AI landscape and its development?
DeepSeek-V3 is claiming to rival closed-source LLMs. Is the hype real, or is this just cleverly disguised “benchmarketing?” What are the strengths and weaknesses based on the data, and how does it stack up for real-world use?