“The article uses the term 'people weak at verbalization' not as a put-down, but as a label for those who find it challenging to articulate thoughts and intentions clearly from the start.”

“本記事は、あくまで個人の体験メモと雑感である (This article is merely a personal experience memo and miscellaneous thoughts).”

“ChatGPT is very good at analyzing what you say and helping you think like a co-brain. ... It's helped me figure out a few things about myself and form structured thoughts about quite a bit of topics. It's quite useful tbh.”

“What are your thoughts. Could that be the reason why we are also seeing more guardrails? It's not like other alternative tools are not out there, so the moderation ruins it sometimes and makes the tech hold back.”

“More than 20 venture capitalists share their thoughts on AI agents, enterprise AI budgets, and more for 2026.”

“Sharing the images along with the prompts I used. Curious to hear what works, what doesn’t, and how usable this feels for early-stage campaign ideas.”

“Hidden imagination is where unacknowledged harm incubates.”

“I don’t start from code. I start by talking to the AI, giving my thoughts and structural ideas first.”

“The GoT framework structures streaming predictions as an evolving graph, enabling a multimodal transformer to forecast the next speech act, generate concise justifications for its decisions, and dynamically refine its reasoning.”

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

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“思考整理が苦手すぎて辛いので、箇条書きのメモから勝手にスライドを作ってくれるAIを召喚した。”

“The research suggests that LLMs can be trained to conceal their internal processes from external monitoring.”

“Its tiny single-chip design packs tens of thousands of electrodes and supports advanced AI models for decoding movement, perception, and intent.”

“The research is sourced from ArXiv, indicating a peer-reviewed or pre-print research paper.”

“The paper likely presents results demonstrating the effectiveness of ToT in improving the performance of LLMs on Bengali math word problems.”

“Decoding inner speech with an end-to-end brain-to-text neural interface.”

“Looking forward to hearing your scores and experiences..!!!!”

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“The article lacks a direct quote, making it difficult to assess the artist's specific thoughts or experiences.”

“Spivak discusses a wide range of topics related to intelligence, creativity, and the nature of knowledge.”

“The article's key takeaway, or specific statement by Tao, is unknown because the article's contents are not fully available.”

“The article itself is likely a discussion or analysis of the original source material (the CTO's thoughts). Therefore, there isn't a specific quote to extract from the Hacker News post itself, but rather from the original source (the CTO's statements).”

“"The AI job market is rapidly evolving, and it's crucial to stay ahead of the curve."”

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“Simone Giertz is an inventor, designer, engineer, and roboticist famous for a combination of humor and brilliant creative design in the systems and products she creates.”

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“Vinod shares his thoughts on how to incorporate principles of fairness to help build more robust models.”

“We discuss the emergence of multimodal learning, the current research frontier, and Kate’s thoughts on the inherent bias in LLMs and how to deal with it.”

“We explore her thoughts on the work happening in the fields of data curation and data governance, her interest in the inclusive sharing of datasets and creation of models that don't disproportionately underperform or exploit subpopulations, and how data collection practices have changed over the years.”

“Jennifer shares her thoughts on the progress of industries like banking and finance, as well as other traditional organizations, in their attempts at using transformers and other models, and where they’ve begun to see success, as well as some of the hidden challenges that orgs run into that impede their progress.”

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“The episode covers a wide range of topics, from entertainment to AI, offering a diverse perspective.”

“The article doesn't contain a direct quote, but summarizes the topics discussed.”

“We explore the potential for level 5 autonomous driving and what effect that will have on both established and developing nations, the potential outcomes when dealing with job displacement, and his perspective on how the book will be received.”

“Clem explains the virtuous cycles behind the creation and success of Hugging Face, and shares his thoughts on where NLP is heading.”

“We explore David’s thoughts about the progression towards larger models, the focus on parameters and how it ties to the architecture of these models, and how we should assess how attention works in these models.”

“We also discuss how they’ve taken their research on understanding video context and awareness and applied it in their app, including how recent advancements have allowed them to deploy their neural net locally while preserving privacy, and Roland’s thoughts on the enormous opportunity that lies in the merging of language and video processing.”

“Kavita shares her thoughts on the privacy and security implications, progress with integrating privacy-preserving techniques into vision projects like the ones she works on, and what’s next for Kavita’s research.”

“My thoughts on 8 possible long-term futures of Neuralink after attending the August 2020 progress update.”

“The episode covers a wide range of topics, including Sanderson's approach to teaching math through visualizations, his thoughts on learning deeply versus broadly, and his use of the Manim animation engine.”

“The episode focuses on Tom Dietterich's thoughts on what it means for a machine to "understand".”

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“Siddha, who is now an autonomous vehicles solutions architect at Nvidia shares her thoughts on trends in Computer Vision in 2018 and beyond.”

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“Brian Gross describes how he views the chatbot landscape, shares his thoughts on the platform requirements that established enterprises like AeroMexico have for chatbots, and describes how AeroMexico plans to stay ahead of the curve.”

“Dennis gave shares some great insight into building an AI-first company, not to mention his vision for the future of scheduling, something no one actually enjoys doing, and his thoughts on the future of human-AI interaction.”