“Chinese AI models might be "a matter of months" behind U.S. and Western capabilities.”

“正直、もう横並びだと思ってる。(Honestly, I think they're all the same now.)”

“The article's introduction states: "The rapid development of generative AI has led to the widespread circulation of the statement that 'in the near future, creators will be replaced by AI.'"”

““But, what if foreign adversaries hijack this very mechanism (AKA Russia)? Well here comes ChatGPT!!! He'll tell you what to think and believe, and no risk of any nasty foreign or domestic groups getting in the way... plus he'll sound so convincing that any disagreement *must* be irrational or come from a not grounded state and be *massive* spiraling.””

“Group A: Believes that AI technology seriously over-hyped, AGI is impossible to achieve, AI market is a bubble and about to have a meltdown. Group B: Believes that AI technology is advancing so fast that AGI is right around the corner and it will end the humanity once and for all.”

“The author states, "I feel that people have massively conflated machine learning... with AI and what we have now are simply fancy tools, like what a calculator is to an abacus."”

““is it really reasoning?”, “how do you define reasoning?” “it’s just next token prediction/matrix multiply”.”

“Adam Mosseri believes that 'fingerprinting real content' is a more viable approach than tracking AI fakes.”

“If China wins, it's game over for America because China can extract much more productivity gains from AI as it possesses a lot more capital goods and it doesn't need to spend as much as America to fund its research and can spend as much as it wants indefinitely since it has enough assets to pay down all its debt and more.”

“(Assuming the post contains a specific example of Perplexity's methodology being superior) "Perplexity's ability to provide direct, sourced answers is a game-changer compared to the generic responses from other LLMs."”

“LLMs should be viewed strictly as Text Processors.”

“"The essence of the AI bubble theory is a matter of rhythm. As long as model capabilities continue to improve, there is no systemic bubble in AI. Model capabilities determine everything, and other factors are secondary."”

“"Creating the impression that 'using AI is bad' could significantly delay the development of modern digital technology," said Level-5 CEO Akihiro Hino on his X account.”

“Agent Skills allow AI agents to interact with scripts, MCPs, and data sources to efficiently perform various tasks.”

“A media organization's future survival depends on whether it can provide new discoveries, expressions, and ideas. If it can provide these 'three new things,' then it can become AI's new corpus, and AI cannot replace it; on the contrary, it will rely on you.”

“"How the current way of training language models destroys any voice (and hope of good writing)."”

“The fusing of AI firms and the state is leading to a dangerous concentration of power”

“Cristopher argues it's because the real world isn't random; it's full of rich structures, patterns, and hierarchies that these models can learn to exploit, even if we don't fully understand how.”

“Hendrycks argues that society is making a fundamental mistake in how it views artificial intelligence. We often compare AI to transformative but ultimately manageable technologies like electricity or the internet. He contends a far better and more realistic analogy is nuclear technology.”

“The article doesn't explicitly contain a direct quote, but it references Altman's statement: 'Missionaries Will Beat Mercenaries'.”

“Sepp discusses his journey, the origins of LSTM, and why he believes his latest work, XLSTM, could be the next big thing in AI, particularly for applications like robotics and industrial simulation.”

“Nanda reckons that machine learning is unique because we create neural networks that can perform impressive tasks (like complex reasoning and software engineering) without understanding how they work internally.”

“Chollet explains that real intelligence isn't about memorizing information or having lots of knowledge - it's about being able to handle new situations effectively.”

“It's not yet clear—but David Zvi Kalman believes an emergent Jewish AI ethics is doing something unique.”

“Professor Domingos expresses skepticism about current AI regulation efforts and argues for faster AI development rather than slowing it down.”

“”

“Nvidia's CEO believes nations seeking their own AI systems will drive up demand.”

“We support journalism, partner with news organizations, and believe The New York Times lawsuit is without merit.”

“Bert believes that development of signal processing systems will in the future be largely automated by autonomously operating agents that learn purposeful from situated environmental interactions.”

“The author asks: "So, why this is such a big deal?"”

“Bach: AGI may become integrated into all parts of the world, including human minds and bodies. Leahy: Humanity could develop the technology and coordination to build a beneficial AGI.”

“OpenAI CEO says the remote work ‘experiment’ was a mistake–and ‘it’s over’”

“The article doesn't provide a direct quote, but summarizes the CEO's statement.”

“Jensen Huang's prediction of AI experiencing an 'iPhone moment'.”

“Professor Floridi believes that the digital divide has caused a lack of balance between technological growth and our understanding of this growth.”

“Professor Floridi believes that the digital divide has caused a lack of balance between technological growth and our understanding of this growth.”

“I'm absolutely shocked by how powerful SD is... Just like how GPT-3 helped copywriters/marketing be more effective, SD/DALL-E is going to be a game changer for artist!”

“Walid thinks this approach is cursed to failure because it’s analogous to memorising infinity with a large hashtable.”

“Luke Stark critiques studies that will attempt to use faces and facial expressions and features to make determinations about people, a practice fundamental to facial recognition, also one that Luke believes is inherently racist at its core.”

“Chollet believes that NNs can only model continuous problems, which have a smooth learnable manifold and that many "type 2" problems which involve reasoning and/or planning are not suitable for NNs. He thinks that the future of AI must include program synthesis to allow us to generalise broadly from a few examples, but the search could be guided by neural networks because the search space is interpolative to some extent.”

“Bishop's central argument is that computers will never be able to compute everything, understand anything, or feel anything.”

“Ozkural believes that views on AI safety represent a form of neoludditism and are capturing valuable research budgets with doomsday fear-mongering.”

“Geoff Hinton believes deep learning will be able to do everything.”