“This is a collection of articles from Qiita demonstrating the construction of an AI that takes gameplay footage (video) as input, estimates the game state, and proposes the next action.”

“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.”

““The AI Overwatch Act (H.R. 6875) may sound like a good idea, but when you examine it closely …”

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

“The article's key takeaway is the discussion of adding human intention to AI data.”

“The goal was to evaluate whether large language models can determine causal and logical consistency between a proposed character backstory and an entire novel (~100k words), rather than relying on local plausibility.”

“Compared with the kinetic Langevin sampling algorithm, the proposed algorithm exhibits a higher contraction rate in the asymptotic time regime.”

“The proposed approach leverages the analytical solution for linear vibration of system's modes so that physical parameters of a system remain easily accessible after the training without the need for a parameter encoder in the model architecture.”

“The article's core focuses on the application of LLMs in access control policy retrieval, suggesting a novel perspective on security.”

“Unfortunately, the content of the article is not provided. Therefore, a relevant quote cannot be generated.”

“Experiments on a real-world image classification dataset demonstrate that EGT achieves up to 98.97% overall accuracy (matching baseline performance) with a 1.97x inference speedup through early exits, while improving attention consistency by up to 18.5% compared to baseline models.”

“AI integration into data pipelines appears to be becoming more convenient, so let's give it a try.”

““Overall, our empirical observations strongly indicate that TTT-E2E should produce the same trend as full attention for scaling with training compute in large-budget production runs.””

“What if instead of manually firefighting every drift and miss, your agents could adapt themselves? Not replace engineers, but handle the continuous tuning that burns time without adding value.”

“Why視点(目的・背景):なぜこれが行われているのか？どんな課題・ニーズに応えているのか？”

“Claude Code is a valuable tool, but its automatic compacting can disrupt workflows. The article aims to solve this by warning users before the context window exceeds the threshold.”

“The article mentions utilizing Gemini 2.5 Flash's '1 million token' context window.”

“By converting history to Markdown and feeding the same prompt to multiple LLMs, you can see your own 'core issues' and the strengths of each model.”

“I think this problem is a problem of 'format design' rather than a 'tool problem'.”

“Modern LLMs have extremely high versatility. However, the default 'polite and harmless assistant' UX often becomes noise in accelerating the thinking of professionals.”

“But on a smartphone, inputting symbols is hopeless, and not practical.”

“He warns of the risk of engineers losing the ability to understand the mechanisms of the code they write themselves.”

“plan modeを使うことで、いきなりコードを生成するのではなく、まず何をどう実装するかを整理してから作業に入れます。”

“ChatGPT's 'memory loss' is addressed.”

“AI Agent が業務システムに入り始めたことで、これまで暗黙のうちに成立していた「認可の置き場所」に関する前提が、静かに崩れつつあります。”

“AIに「全く同じこと」を頼み続けると、人間と同じく虚無に至る”

“"If knowledge bases could be installed as additional options, wouldn't it be possible to customize AI assistants?"”

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“Every act of language generation compresses a rich internal state into a single token sequence.”

“We propose an approach to enhance planning with JEPA world models by shaping their representation space so that the negative goal-conditioned value function for a reaching cost in a given environment is approximated by a distance (or quasi-distance) between state embeddings.”

“To address these limitations, we propose HyperJoin, a large language model (LLM)-augmented Hypergraph framework for Joinable table discovery.”

“Our approach relies on a unified formulation of the distance from a point to a hyperplane on the considered spaces.”

“We propose the Error Depth Hypothesis: stronger models make fewer but deeper errors that resist self-correction.”

“The actual problem is that when you don't give ChatGPT enough constraints, it gravitates toward the statistical center of its training data.”

“"I’ve told this chatbot things I wouldn't even type into a search bar."”

“N/A (Content unavailable)”

“Our estimator can be trained without computing the autocovariance kernels and it can be parallelized to provide the estimates much faster than existing approaches.”

“「提案書」と言えば以下をまとめてくれるので、自然に引き継ぎできる。”

“Maybe it’s time to change CAPTCHA’s bus-bicycle-car images to AI-generated ones and let humans determine generic content (for now we can do this). Can this help with: 1. Stopping AI from accessing websites? 2. Creating a model for AI detection?”

“時代の限界: HBM（広帯域メモリ）の高騰や電力問題など、「力任せのAI」は限界を迎えつつある。”

“"I’d suggest some kind of token retention when you’re not using it... maybe something like 20% of what you don’t use in a day is credited as extra tokens for this month."”

“Any social platform should implement a common new format that would embed hash that AI would generate so people know if its fake or not. If there is no signature -> media cant be published. Easy.”

“近年、Graph Neural Network（GNN）は推薦・化学・知識グラフなど様々な分野で使われていますが、2020年に DeepMind が提案した MeshGraphNets（MGN） は、その中でも特に”

“FlakeStorm takes a "golden prompt" (known good input) and generates semantic mutations across 8 categories: Paraphrase, Noise, Tone Shift, Prompt Injection.”

“Artificial Intelligence (AI): Machines with intellectual processing capabilities similar to humans, such as reasoning, knowledge, and judgment (proposed at the Dartmouth Conference in 1956).”

“NL suggests a philosophy to design more expressive learning algorithms with more levels, resulting in higher-order in-context learning and potentially unlocking effective continual learning capabilities.”

“"Cloudflare Workers AI is an AI inference service that runs on Cloudflare's edge. You can use open-source models such as Llama 3 and Mistral at a low cost with pay-as-you-go pricing."”

“The article's content focuses on a specific technical workaround, using LetsView to mirror the Mac screen to an iPhone and then using Gemini Live on the iPhone. The article's introduction clearly states the problem and the proposed solution.”

“NextToken is a dedicated AI agent that understands the context of machine learning projects, and helps you with the tedious parts of these workflows.”