“The general idea is to view agent action and perception as part of the same discrete data stream, and model intelligence as compression of sub-segments of this stream into independent "mechanisms" (patterns of action-perception) which can be used for prediction/action and potentially recombined into more general frameworks as the agent learns.”

“What if you explicitly constrained attention heads to specific receptive field sizes, like physical filter substrates?”

“Imagine a flock of birds in flight. There’s no leader. No central command. Each bird aligns with its neighbors—matching direction, adjusting speed, maintaining coherence through purely local coordination. The result is global order emerging from local consistency.”

“The article includes a question: "What is your favorite character in Kingdom?"”

“The author questions the necessity of the feature, considering the availability of web search capabilities in services like ChatGPT and Qwen.”

“Our method randomly masks a section of the document and uses a natural language inference (NLI)-based contrastive objective to align it with relevant parts while distancing it from unrelated ones.”

“The paper argues that the optimal substrate for motion planning is not natural language, but a learned, motion-aligned concept space.”

“CreativeDC achieves significantly higher diversity and novelty compared to baselines while maintaining high utility.”

“The approach applies seamlessly to both two-stage and one-stage architectures, achieving consistent and substantial improvements while preserving real-time inference speed.”

“"AIに同じ画像を何度も読み込ませて描かせると、徐々にホラー画像になったり、全く別の写真になってしまう"”

“「Gemを作るGem」があれば、誰でも簡単に高機能なAIアシスタントを量産できる……このアイデアは非常に便利ですが、「これ、応用すればChatGPTのGPTにも展開できるのでは？」”

“Vertical AI agents often struggle because domain knowledge is tacit and hard to encode via static system prompts or raw document retrieval. What if we instead treat agents like students: human experts teach them through iterative, interactive chats, while the agent distills rules, definitions, and heuristics into a continuously improving knowledge base.”

“The research is based on Solomonoff's theory of inductive inference.”

“The paper focuses on 'Cognitive-Inspired Elastic Reasoning for Large Language Models'.”

“The research is based on a paper from ArXiv, indicating a focus on academic study.”

“”

“The research focuses on differentiable energy-based regularization inspired by VQE.”

“The article's source is ArXiv, suggesting this is a preliminary research publication.”

“”

“”

“Sumble allows you to find: - tech stacks (in larger companies, down to the team or buying group level) - key projects those teams are working on (cloud migrations, GenAI initiatives, etc.) - people involved in those key projects”

“The best ones are mostly just well-engineered software with LLMs sprinkled in at key points.”

“We speak with Sakana AI, who are building nature-inspired methods that could fundamentally transform how we develop AI systems.”

“Rather than rely on narrowly defined metrics—which often fail due to Goodhart’s Law—Clune employs language models to serve as proxies for human judgment.”

“The author spent a lot of time and money on this project and considers themselves the target audience for Hacker News.”

“The model is inspired by OpenAI o1.”

“N/A (This is a title, not a full article with quotes)”

“How do you choose the best components for your RAG, such as the retriever, reranker, and LLM? How do you formulate a test dataset without spending tons of money and time?”

“The article describes the creation of a newsboard.”

“Building upon this idea, David posits that these same evolutionary bottlenecks could work when training neural network models as well.”

“The article doesn't contain a direct quote.”

“It was probably around the 32nd layer of the 400th token in the sequence that I became conscious.”