“These findings strongly support a human-in-the-loop (HITL) workflow in which the on-premise LLM serves as a collaborative tool, not a full replacement.”

“The article begins by stating the common misconception that LLMs like ChatGPT and Claude can perform highly accurate predictions using Excel files, before noting the fundamental limits of the model.”

“The essence of AI-era journaling lies in how you preserve 'thought data' for yourself in the future and for AI to read.”

“AI is not your 'smart friend'.”

“なぜ GitHub だけに依存しない構成を選んだのか どこを一次情報（正）として扱うことにしたのか その判断を、どう構造で支えることにしたのか”

“Assuming the article aligns with the title, a likely quote would be something like: 'AI's potential is significant, but we must avoid zealotry and focus on practical solutions.'”

“Nadella wants us to think of AI as a human helper instead of a slop-generating job killer.”

“Open source dissolves that completely. People will control their own AI, not the other way around.”

“I firmly believe that in this era, maintaining a continuously updating ML lecture series is infinitely more valuable than writing a book that expires the moment it's published.”

“The author's personal experience with cigarettes is used to illustrate the point: acknowledging both the negative health impacts and the personal benefits of smoking, and advocating for a realistic assessment of AI's impact.”

“"全てを実装しない」「無闇に行動しない」「動きすぎない」ということについて考えていて"”

“The paper argues for a shift in emphasis from asymptotic behavior to transient and input-driven dynamics as a primary lens for understanding, testing, and reverse-engineering biological networks.”

“The article likely argues that data deletion, while sometimes necessary, should be approached with caution and a thorough understanding of its potential consequences.”

“The paper argues for a shift in perspective, prioritizing the user's informational needs and perspective by incorporating ToM within XAI.”

“Stop pathologizing people who have close relationships with LLMs; most of them are perfectly healthy, they just don't fit into your worldview.”

“Model belief explains and predicts ground-truth model choice better than model choice itself, and reduces the computation needed to reach sufficiently accurate estimates by roughly a factor of 20.”

“Many CoTs flagged as unfaithful by Biasing Features are judged faithful by other metrics, exceeding 50% in some models.”

“The Simple Baseline for Multimodal Learning (SimBaMM) often performs comparably to, and sometimes outperforms, more complex architectures.”

“Resilient systems must anticipate disruption, maintain critical functions under attack, recover efficiently, and learn continuously.”

“Developing with your favorite character made it fun and increased productivity.”

“The experience of creating coding guidelines taught me about "work that only humans can do."”

“"Function Call (tool calling) is important," everyone says, but do you know that there is a huge wall between "the model can call tools" and "the model can autonomously complete complex tasks"?”

“LLM から BigQuery を「自然言語で気軽に叩ける」ようになると、意図せず大量スキャンが発生し、BigQuery 利用料が膨れ上がるリスクがあります。”

“The article advocates for centering human agency in the development and deployment of AI.”

“While the technical hurdles are significant, the human element can be even more consequential; fear and ambiguity can stall momentum of even the most promising…”

“”

“The article likely contains specific scientific arguments and justifications for the telescope's construction, potentially including details about the limitations of existing telescopes and the unique capabilities of the proposed instrument.”

“”

“The context indicates the source is ArXiv, a repository for research papers.”

“N/A”

“The article likely discusses the transition from linear risk assessment to considering emergent harms.”

“The article's core argument likely revolves around the shortcomings of current benchmark-focused evaluation methods.”

“Can we do better than traditional GPUs?”

“The paper likely discusses limitations of single-agent scaling in achieving complex multi-agent tasks.”

“The article's core focus is on understanding the internal reasoning processes of large language models.”

“The article likely discusses the benefits of using OpenTelemetry for monitoring LLM performance and debugging issues.”

“”

“”

“”

“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.”

“We’ve just sent a letter to Gov. Gavin Newsom calling for California to lead the way in harmonizing state-based AI regulation with national—and, by virtue of US leadership, emerging global—standards.”

“Guillaume argues we need to embrace variance, exploration, and optimism to avoid getting stuck or outpaced by competitors like China.”

“Bengio talks about AI safety, why goal-seeking “agentic” AIs might be dangerous, and his vision for building powerful AI tools without giving them agency.”

“Meta AI advocates for open source and decentralized approaches.”

“Marcus argued that the AI field is experiencing diminishing returns with current approaches, particularly the "scaling hypothesis" that simply adding more data and compute will lead to AGI.”

“Maria Santacaterina argues that AI, at its core, processes data but does not have the capability to understand or generate new, intrinsic meaning or ideas as humans do.”

“”

“Yann LeCun's perspective on the necessity of open-source AI is presented.”

“We’re talking normal guy stuff today, from embracing bronze age masculinity from a certain Pervert, to new perversions from a certain modern masculinity advocate.”

“The episode discusses the open letter to pause Giant AI Experiments.”