Search:
Match:
134 results
business#ai📝 BlogAnalyzed: Jan 17, 2026 16:02

OpenAI's Vision: Charting a Course for AI Innovation's Future

Published:Jan 17, 2026 15:54
1 min read
Toms Hardware

Analysis

This is an exciting look into the early strategic thinking behind OpenAI! The notes offer fascinating insight into the founders' vision for establishing a for-profit AI firm, suggesting a bold approach to shaping the future of artificial intelligence. It's a testament to the ambitious goals and innovative spirit that drives this revolutionary company.
Reference

“This is the only chance we have to get out from Elon,” Brockman wrote.

research#llm📝 BlogAnalyzed: Jan 17, 2026 04:01

OpenAI's Historical Insights: Unveiling the Genesis of AI Advancement

Published:Jan 16, 2026 21:53
1 min read
r/ChatGPT

Analysis

This fascinating release of Sam Altman's 2017 call notes provides a unique window into the early days of OpenAI and the evolution of its strategic vision. It's a fantastic opportunity to understand the foundational discussions that shaped the AI landscape we see today, highlighting the foresight and ambition of its pioneers.
Reference

This article discusses the publication of Sam Altman's 2017 OpenAI call notes.

product#agent📝 BlogAnalyzed: Jan 16, 2026 19:47

Claude Cowork: Your AI Sidekick for Effortless Task Management, Now More Accessible!

Published:Jan 16, 2026 19:40
1 min read
Engadget

Analysis

Anthropic's Claude Cowork, the AI assistant designed to streamline your computer tasks, is now available to a wider audience! This exciting expansion brings the power of AI-driven automation to a more affordable price point, promising to revolutionize how we manage documents and folders.
Reference

Anthropic notes "Pro users may hit their usage limits earlier" than Max users do.

product#voice📝 BlogAnalyzed: Jan 16, 2026 11:15

Say Goodbye to Meeting Minutes! AI Voice Recorder Revolutionizes Note-Taking

Published:Jan 16, 2026 11:00
1 min read
ASCII

Analysis

This new AI voice recorder, developed by TALIX and DingTalk, is poised to transform how we handle meeting notes! It boasts impressive capabilities in processing Japanese, including dialects and casual speech fillers, promising a seamless and efficient transcription experience.

Key Takeaways

Reference

N/A

product#productivity📝 BlogAnalyzed: Jan 16, 2026 05:30

Windows 11 Notepad Gets a Table Makeover: Simpler, Smarter Organization!

Published:Jan 16, 2026 05:26
1 min read
cnBeta

Analysis

Get ready for a productivity boost! Windows 11's Notepad now boasts a handy table creation feature, bringing a touch of Word-like organization to your everyday note-taking. This new addition promises a streamlined and lightweight approach, making it perfect for quick notes and data tidying.
Reference

The feature allows users to quickly insert tables in Notepad, similar to Word, but in a lighter way, suitable for daily basic organization and recording.

product#llm📝 BlogAnalyzed: Jan 15, 2026 07:01

Boosting Obsidian Productivity: How Claude Desktop Solves Knowledge Management Challenges

Published:Jan 15, 2026 02:54
1 min read
Zenn Claude

Analysis

This article highlights a practical application of AI, using Claude Desktop to enhance personal knowledge management within Obsidian. It addresses common pain points such as lack of review, information silos, and knowledge reusability, demonstrating a tangible workflow improvement. The value proposition centers on empowering users to transform their Obsidian vaults from repositories into actively utilized knowledge assets.
Reference

This article will introduce how to achieve the following three things with Claude Desktop × Obsidian: have AI become a reviewer, cross-reference information, and accumulate and reuse development insights.

product#llm📝 BlogAnalyzed: Jan 15, 2026 07:01

Integrating Gemini Responses in Obsidian: A Streamlined Workflow for AI-Generated Content

Published:Jan 14, 2026 03:00
1 min read
Zenn Gemini

Analysis

This article highlights a practical application of AI integration within a note-taking application. By streamlining the process of incorporating Gemini's responses into Obsidian, the author demonstrates a user-centric approach to improve content creation efficiency. The focus on avoiding unnecessary file creation points to a focus on user experience and productivity within a specific tech ecosystem.
Reference

…I was thinking it would be convenient to paste Gemini's responses while taking notes in Obsidian, splitting the screen for easy viewing and avoiding making unnecessary md files like "Gemini Response 20260101_01" and "Gemini Response 20260107_04".

product#llm📝 BlogAnalyzed: Jan 13, 2026 08:00

Reflecting on AI Coding in 2025: A Personalized Perspective

Published:Jan 13, 2026 06:27
1 min read
Zenn AI

Analysis

The article emphasizes the subjective nature of AI coding experiences, highlighting that evaluations of tools and LLMs vary greatly depending on user skill, task domain, and prompting styles. This underscores the need for personalized experimentation and careful context-aware application of AI coding solutions rather than relying solely on generalized assessments.
Reference

The author notes that evaluations of tools and LLMs often differ significantly between users, emphasizing the influence of individual prompting styles, technical expertise, and project scope.

research#computer vision📝 BlogAnalyzed: Jan 12, 2026 17:00

AI Monitors Patient Pain During Surgery: A Contactless Revolution

Published:Jan 12, 2026 16:52
1 min read
IEEE Spectrum

Analysis

This research showcases a promising application of machine learning in healthcare, specifically addressing a critical need for objective pain assessment during surgery. The contactless approach, combining facial expression analysis and heart rate variability (via rPPG), offers a significant advantage by potentially reducing interference with medical procedures and improving patient comfort. However, the accuracy and generalizability of the algorithm across diverse patient populations and surgical scenarios warrant further investigation.
Reference

Bianca Reichard, a researcher at the Institute for Applied Informatics in Leipzig, Germany, notes that camera-based pain monitoring sidesteps the need for patients to wear sensors with wires, such as ECG electrodes and blood pressure cuffs, which could interfere with the delivery of medical care.

research#knowledge📝 BlogAnalyzed: Jan 4, 2026 15:24

Dynamic ML Notes Gain Traction: A Modern Approach to Knowledge Sharing

Published:Jan 4, 2026 14:56
1 min read
r/MachineLearning

Analysis

The shift from static books to dynamic, continuously updated resources reflects the rapid evolution of machine learning. This approach allows for more immediate incorporation of new research and practical implementations. The GitHub star count suggests a significant level of community interest and validation.

Key Takeaways

Reference

"writing a book for Machine Learning no longer makes sense; a dynamic, evolving resource is the only way to keep up with the industry."

product#education📝 BlogAnalyzed: Jan 4, 2026 14:51

Open-Source ML Notes Gain Traction: A Dynamic Alternative to Static Textbooks

Published:Jan 4, 2026 13:05
1 min read
r/learnmachinelearning

Analysis

The article highlights the growing trend of open-source educational resources in machine learning. The author's emphasis on continuous updates reflects the rapid evolution of the field, potentially offering a more relevant and practical learning experience compared to traditional textbooks. However, the quality and comprehensiveness of such resources can vary significantly.
Reference

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.

Claude's Politeness Bias: A Study in Prompt Framing

Published:Jan 3, 2026 19:00
1 min read
r/ClaudeAI

Analysis

The article discusses an interesting observation about Claude, an AI model, exhibiting a 'politeness bias.' The author notes that Claude's responses become more accurate when the user adopts a cooperative and less adversarial tone. This highlights the importance of prompt framing and the impact of tone on AI output. The article is based on a user's experience and is a valuable insight into how to effectively interact with this specific AI model. It suggests that the model is sensitive to the emotional context of the prompt.
Reference

Claude seems to favor calm, cooperative energy over adversarial prompts, even though I know this is really about prompt framing and cooperative context.

Technology#AI Agents📝 BlogAnalyzed: Jan 3, 2026 08:11

Reverse-Engineered AI Workflow Behind $2B Acquisition Now a Claude Code Skill

Published:Jan 3, 2026 08:02
1 min read
r/ClaudeAI

Analysis

This article discusses the reverse engineering of the workflow used by Manus, a company recently acquired by Meta for $2 billion. The core of Manus's agent's success, according to the author, lies in a simple, file-based approach to context management. The author implemented this pattern as a Claude Code skill, making it accessible to others. The article highlights the common problem of AI agents losing track of goals and context bloat. The solution involves using three markdown files: a task plan, notes, and the final deliverable. This approach keeps goals in the attention window, improving agent performance. The author encourages experimentation with context engineering for agents.
Reference

Manus's fix is stupidly simple — 3 markdown files: task_plan.md → track progress with checkboxes, notes.md → store research (not stuff context), deliverable.md → final output

ChatGPT Performance Decline: A User's Perspective

Published:Jan 2, 2026 21:36
1 min read
r/ChatGPT

Analysis

The article expresses user frustration with the perceived decline in ChatGPT's performance. The author, a long-time user, notes a shift from productive conversations to interactions with an AI that seems less intelligent and has lost its memory of previous interactions. This suggests a potential degradation in the model's capabilities, possibly due to updates or changes in the underlying architecture. The user's experience highlights the importance of consistent performance and memory retention for a positive user experience.
Reference

“Now, it feels like I’m talking to a know it all ass off a colleague who reveals how stupid they are the longer they keep talking. Plus, OpenAI seems to have broken the memory system, even if you’re chatting within a project. It constantly speaks as though you’ve just met and you’ve never spoken before.”

Gemini Performance Issues Reported

Published:Jan 2, 2026 18:31
1 min read
r/Bard

Analysis

The article reports significant performance issues with Google's Gemini AI model, based on a user's experience. The user claims the model is unable to access its internal knowledge, access uploaded files, and is prone to hallucinations. The user also notes a decline in performance compared to a previous peak and expresses concern about the model's inability to access files and its unexpected connection to Google Workspace.
Reference

It's been having serious problems for days... It's unable to access its own internal knowledge or autonomously access files uploaded to the chat... It even hallucinates terribly and instead of looking at its files, it connects to Google Workspace (WTF).

Is AI Performance Being Throttled?

Published:Jan 2, 2026 15:07
1 min read
r/ArtificialInteligence

Analysis

The article expresses a user's concern about a perceived decline in the performance of AI models, specifically ChatGPT and Gemini. The user, a long-time user, notes a shift from impressive capabilities to lackluster responses. The primary concern is whether the AI models are being intentionally throttled to conserve computing resources, a suspicion fueled by the user's experience and a degree of cynicism. The article is a subjective observation from a single user, lacking concrete evidence but raising a valid question about the evolution of AI performance over time and the potential for resource management strategies by providers.
Reference

“I’ve been noticing a strange shift and I don’t know if it’s me. Ai seems basic. Despite paying for it, the responses I’ve been receiving have been lackluster.”

AI News#LLM Performance📝 BlogAnalyzed: Jan 3, 2026 06:30

Anthropic Claude Quality Decline?

Published:Jan 1, 2026 16:59
1 min read
r/artificial

Analysis

The article reports a perceived decline in the quality of Anthropic's Claude models based on user experience. The user, /u/Real-power613, notes a degradation in performance on previously successful tasks, including shallow responses, logical errors, and a lack of contextual understanding. The user is seeking information about potential updates, model changes, or constraints that might explain the observed decline.
Reference

“Over the past two weeks, I’ve been experiencing something unusual with Anthropic’s models, particularly Claude. Tasks that were previously handled in a precise, intelligent, and consistent manner are now being executed at a noticeably lower level — shallow responses, logical errors, and a lack of basic contextual understanding.”

Analysis

The article discusses Warren Buffett's final year as CEO of Berkshire Hathaway, highlighting his investment strategy of patience and waiting for the right opportunities. It notes the impact of a rising stock market, AI boom, and trade tensions on his decisions. Buffett's strategy involved reducing stock holdings, accumulating cash, and waiting for favorable conditions for large-scale acquisitions.
Reference

As one of the most productive and patient dealmakers in the American business world, Buffett adhered to his investment principles in his final year at the helm of Berkshire Hathaway.

AI Tools#NotebookLM📝 BlogAnalyzed: Jan 3, 2026 07:09

The complete guide to NotebookLM

Published:Dec 31, 2025 10:30
1 min read
Fast Company

Analysis

The article provides a concise overview of NotebookLM, highlighting its key features and benefits. It emphasizes its utility for organizing, analyzing, and summarizing information from various sources. The inclusion of examples and setup instructions makes it accessible to users. The article also praises the search functionalities, particularly the 'Fast Research' feature.
Reference

NotebookLM is the most useful free AI tool of 2025. It has twin superpowers. You can use it to find, analyze, and search through a collection of documents, notes, links, or files. You can then use NotebookLM to visualize your material as a slide deck, infographic, report— even an audio or video summary.

Technology#AI📝 BlogAnalyzed: Jan 3, 2026 08:09

Codex Cloud Rebranded to Codex Web

Published:Dec 31, 2025 16:35
1 min read
Simon Willison

Analysis

This article reports on the quiet rebranding of OpenAI's Codex cloud to Codex web. The author, Simon Willison, notes the change and provides visual evidence through screenshots from the Internet Archive. He also compares the naming convention to Anthropic's "Claude Code on the web," expressing surprise at OpenAI's move. The article highlights the evolving landscape of AI coding tools and the subtle shifts in branding strategies within the industry. The author's personal preference for the name "Claude Code Cloud" adds a touch of opinion to the factual reporting of the name change.
Reference

Codex cloud is now called Codex web

Analysis

This paper extends previous work on the Anderson localization of the unitary almost Mathieu operator (UAMO). It establishes an arithmetic localization statement, providing a sharp threshold in frequency for the localization to occur. This is significant because it provides a deeper understanding of the spectral properties of this quasi-periodic operator, which is relevant to quantum walks and condensed matter physics.
Reference

For every irrational ω with β(ω) < L, where L > 0 denotes the Lyapunov exponent, and every non-resonant phase θ, we prove Anderson localization, i.e. pure point spectrum with exponentially decaying eigenfunctions.

The best AI-powered dictation apps of 2025

Published:Dec 30, 2025 16:00
1 min read
TechCrunch

Analysis

The article provides a brief overview of AI-powered dictation apps, highlighting their utility in various tasks. It's a concise introduction to the topic.
Reference

AI-powered dictation apps are useful for replying to emails, taking notes, and even coding through your voice

Notes on the 33-point Erdős--Szekeres Problem

Published:Dec 30, 2025 08:10
1 min read
ArXiv

Analysis

This paper addresses the open problem of determining ES(7) in the Erdős--Szekeres problem, a classic problem in computational geometry. It's significant because it tackles a specific, unsolved case of a well-known conjecture. The use of SAT encoding and constraint satisfaction techniques is a common approach for tackling combinatorial problems, and the paper's contribution lies in its specific encoding and the insights gained from its application to this particular problem. The reported runtime variability and heavy-tailed behavior highlight the computational challenges and potential areas for improvement in the encoding.
Reference

The framework yields UNSAT certificates for a collection of anchored subfamilies. We also report pronounced runtime variability across configurations, including heavy-tailed behavior that currently dominates the computational effort and motivates further encoding refinements.

Neutron Star Properties from Extended Sigma Model

Published:Dec 29, 2025 14:01
1 min read
ArXiv

Analysis

This paper investigates neutron star structure using a baryonic extended linear sigma model. It highlights the importance of the pion-nucleon sigma term in achieving realistic mass-radius relations, suggesting a deviation from vacuum values at high densities. The study aims to connect microscopic symmetries with macroscopic phenomena in neutron stars.
Reference

The $πN$ sigma term $σ_{πN}$, which denotes the contribution of explicit symmetry breaking, should deviate from its empirical values at vacuum. Specifically, $σ_{πN}\sim -600$ MeV, rather than $(32-89) m \ MeV$ at vacuum.

Analysis

The article introduces FusenBoard, a board-type SNS service designed for quick note-taking and revisiting information without the fatigue of a timeline-based SNS. It highlights the service's core functionality: creating boards, defining themes, and adding short-text sticky notes. The article promises an accessible explanation of the service's features, ideal use cases, and the development process, including the use of generative AI.
Reference

“I want to make a quick note,” “I want to look back later,” “But timeline-based SNS is tiring” — when you feel like that, FusenBoard is usable with the feeling of sticking sticky notes.

Technology#AI📝 BlogAnalyzed: Dec 28, 2025 22:31

Programming Notes: December 29, 2025

Published:Dec 28, 2025 21:45
1 min read
Qiita AI

Analysis

This article, sourced from Qiita AI, presents a collection of personally interesting topics from the internet, specifically focusing on AI. It positions 2025 as a "turbulent AI year" and aims to summarize the year from a developer's perspective, highlighting recent important articles. The author encourages readers to leave comments and feedback. The mention of a podcast version suggests the content is also available in audio format. The article seems to be a curated collection of AI-related news and insights, offering a developer-centric overview of the year's developments.

Key Takeaways

Reference

This article positions 2025 as a "turbulent AI year".

Technology#AI Tools📝 BlogAnalyzed: Dec 28, 2025 21:57

Why use Gemini CLI over Antigravity?

Published:Dec 28, 2025 19:47
2 min read
r/Bard

Analysis

The Reddit post raises a valid question about the utility of the Gemini CLI compared to Antigravity, particularly for Pro and Ultra users. The core issue is the perceived lower limits and faster reset times of the CLI, making it less appealing. The author notes that the limits reset every 24 hours for the CLI, compared to every 5 hours for Antigravity users. The primary advantage seems to be the ability to use both, as their limits are separate, but the overall value proposition of the CLI is questioned due to its limitations. The post highlights a user's practical experience and prompts a discussion about the optimal usage of these tools.

Key Takeaways

Reference

It seems that the limits for the CLI are much lower and also reset every 24 hours as opposed to the Antigravity limits that reset every 5 hours (For Pro and Ultra users). In my experience I also tend to reach the limits much faster on the CLI.

Education#Note-Taking AI📝 BlogAnalyzed: Dec 28, 2025 15:00

AI Recommendation for Note-Taking in University

Published:Dec 28, 2025 13:11
1 min read
r/ArtificialInteligence

Analysis

This Reddit post seeks recommendations for AI tools to assist with note-taking, specifically for handling large volumes of reading material in a university setting. The user is open to both paid and free options, prioritizing accuracy and quality. The post highlights a common need among students facing heavy workloads: leveraging AI to improve efficiency and comprehension. The responses to this post would likely provide a range of AI-powered note-taking apps, summarization tools, and potentially even custom solutions using large language models. The value of such recommendations depends heavily on the specific features and performance of the suggested AI tools, as well as the user's individual learning style and preferences.
Reference

what ai do yall recommend for note taking? my next semester in university is going to be heavy, and im gonna have to read a bunch of big books. what ai would give me high quality accurate notes? paid or free i dont mind

Analysis

This article is a personal memo detailing the author's difficulties with Chapter 7 of the book "Practical Introduction to AI Agents for On-site Utilization." The chapter focuses on using AI agents to assist with marketing. The article likely delves into specific challenges encountered while trying to implement the concepts and techniques described in the chapter. Without the full content, it's difficult to assess the specific issues, but it seems to be a practical, hands-on account of someone learning to apply AI in a real-world marketing context. It's part of a series of notes covering different chapters of the book.

Key Takeaways

Reference

"This chapter helps with marketing..."

Analysis

The article is a request to an AI, likely ChatGPT, to rewrite a mathematical problem using WolframAlpha instead of sympy. The context is a high school entrance exam problem involving origami. The author seems to be struggling with the problem and is seeking assistance from the AI. The use of "(Part 2/2)" suggests this is a continuation of a previous attempt. The author also notes the AI's repeated responses and requests for fewer steps, indicating a troubleshooting process. The overall tone is one of problem-solving and seeking help with a technical task.

Key Takeaways

Reference

Here, the decision to give up once is, rather, healthy.

Culture#Food📝 BlogAnalyzed: Dec 28, 2025 21:57

Why Do Sichuan and Chongqing Markets Always Write "Mom with Child"?

Published:Dec 28, 2025 06:47
1 min read
36氪

Analysis

The article explores the unique way Er Cai (a type of stem mustard) is sold in Sichuan and Chongqing markets, where it's often labeled as "Mom with Child" (妈带儿) or "Child leaving Mom" (儿离开妈). This labeling reflects the vegetable's growth pattern, with the main stem being the "Mom" and the surrounding buds being the "Child." The price difference between the two reflects the preference for the more tender buds, making the "Child" more expensive. The article highlights the cultural significance of this practice, which can be confusing for outsiders, and also notes similar practices in other regions. It explains the origin of the names and the impact on pricing based on taste and consumer preference.

Key Takeaways

Reference

Compared to the main stem, the buds of Er Cai taste more crisp and tender, and the price is also higher.

Paper#LLM🔬 ResearchAnalyzed: Jan 3, 2026 16:20

Clinical Note Segmentation Tool Evaluation

Published:Dec 28, 2025 05:40
1 min read
ArXiv

Analysis

This paper addresses a crucial problem in healthcare: the need to structure unstructured clinical notes for better analysis. By evaluating various segmentation tools, including large language models, the research provides valuable insights for researchers and clinicians working with electronic medical records. The findings highlight the superior performance of API-based models, offering practical guidance for tool selection and paving the way for improved downstream applications like information extraction and automated summarization. The use of a curated dataset from MIMIC-IV adds to the paper's credibility and relevance.
Reference

GPT-5-mini reaching a best average F1 of 72.4 across sentence-level and freetext segmentation.

Research#llm📝 BlogAnalyzed: Dec 27, 2025 14:32

XiaomiMiMo.MiMo-V2-Flash: Why are there so few GGUFs available?

Published:Dec 27, 2025 13:52
1 min read
r/LocalLLaMA

Analysis

This Reddit post from r/LocalLLaMA highlights a potential discrepancy between the perceived performance of the XiaomiMiMo.MiMo-V2-Flash model and its adoption within the community. The author notes the model's impressive speed in token generation, surpassing GLM and Minimax, yet observes a lack of discussion and available GGUF files. This raises questions about potential barriers to entry, such as licensing issues, complex setup procedures, or perhaps a lack of awareness among users. The absence of Unsloth support further suggests that the model might not be easily accessible or optimized for common workflows, hindering its widespread use despite its performance advantages. More investigation is needed to understand the reasons behind this limited adoption.

Key Takeaways

Reference

It's incredibly fast at generating tokens compared to other models (certainly faster than both GLM and Minimax).

Research#llm📝 BlogAnalyzed: Dec 27, 2025 13:01

Honest Claude Code Review from a Max User

Published:Dec 27, 2025 12:25
1 min read
r/ClaudeAI

Analysis

This article presents a user's perspective on Claude Code, specifically the Opus 4.5 model, for iOS/SwiftUI development. The user, building a multimodal transportation app, highlights both the strengths and weaknesses of the platform. While praising its reasoning capabilities and coding power compared to alternatives like Cursor, the user notes its tendency to hallucinate on design and UI aspects, requiring more oversight. The review offers a balanced view, contrasting the hype surrounding AI coding tools with the practical realities of using them in a design-sensitive environment. It's a valuable insight for developers considering Claude Code for similar projects.

Key Takeaways

Reference

Opus 4.5 is genuinely a beast. For reasoning through complex stuff it’s been solid.

Research#llm📝 BlogAnalyzed: Dec 27, 2025 11:31

Kids' Rejection of AI: A Growing Trend Outside the Tech Bubble

Published:Dec 27, 2025 11:15
1 min read
r/ArtificialInteligence

Analysis

This article, sourced from Reddit, presents an anecdotal observation about the negative perception of AI among non-technical individuals, particularly younger generations. The author notes a lack of AI usage and active rejection of AI-generated content, especially in creative fields. The primary concern is the disconnect between the perceived utility of AI by tech companies and its actual adoption by the general public. The author suggests that the current "AI bubble" may burst due to this lack of widespread usage. While based on personal observations, it raises important questions about the real-world impact and acceptance of AI technologies beyond the tech industry. Further research is needed to validate these claims with empirical data.
Reference

"It’s actively reject it as “AI slop” esp when it is use detectably in the real world (by the below 20 year old group)"

Analysis

This paper explores model structures within the context of preorders, providing conditions for their existence and offering classification results. The work is significant because it connects abstract mathematical structures (model categories) to more concrete ones like topologies and matroids, ultimately leading to a method for constructing model structures on Boolean algebras. The detailed case studies on small Boolean algebras and their localization/colocalization relations add practical value.
Reference

The paper provides "necessary and sufficient conditions for $\mathcal{A}$ to admit the structure of a model category whose cofibrant objects are $\mathcal{C}$ and whose fibrant objects are $\mathcal{F}$."

Technology#Data Privacy📝 BlogAnalyzed: Dec 28, 2025 21:57

The banality of Jeffery Epstein’s expanding online world

Published:Dec 27, 2025 01:23
1 min read
Fast Company

Analysis

The article discusses Jmail.world, a project that recreates Jeffrey Epstein's online life. It highlights the project's various components, including a searchable email archive, photo gallery, flight tracker, chatbot, and more, all designed to mimic Epstein's digital footprint. The author notes the project's immersive nature, requiring a suspension of disbelief due to the artificial recreation of Epstein's digital world. The article draws a parallel between Jmail.world and law enforcement's methods of data analysis, emphasizing the project's accessibility to the public for examining digital evidence.
Reference

Together, they create an immersive facsimile of Epstein’s digital world.

Research#llm📝 BlogAnalyzed: Dec 27, 2025 11:03

First LoRA(Z-image) - dataset from scratch (Qwen2511)

Published:Dec 27, 2025 06:40
1 min read
r/StableDiffusion

Analysis

This post details an individual's initial attempt at creating a LoRA (Low-Rank Adaptation) model using the Qwen-Image-Edit 2511 model. The author generated a dataset from scratch, consisting of 20 images with modest captioning, and trained the LoRA for 3000 steps. The results were surprisingly positive for a first attempt, completed in approximately 3 hours on a 3090Ti GPU. The author notes a trade-off between prompt adherence and image quality at different LoRA strengths, observing a characteristic "Qwen-ness" at higher strengths. They express optimism about refining the process and are eager to compare results between "De-distill" and Base models. The post highlights the accessibility and potential of open-source models like Qwen for creating custom LoRAs.
Reference

I'm actually surprised for a first attempt.

Research#llm📝 BlogAnalyzed: Dec 26, 2025 16:20

AI Trends to Watch in 2026: Frontier Models, Agents, Compute, and Governance

Published:Dec 26, 2025 16:18
1 min read
r/artificial

Analysis

This article from r/artificial provides a concise overview of significant AI milestones in 2025 and extrapolates them into trends to watch in 2026. It highlights the advancements in frontier models like Claude 4, GPT-5, and Gemini 2.5, emphasizing their improved reasoning, coding, agent behavior, and computer use capabilities. The shift from AI demos to practical AI agents capable of operating software and completing multi-step tasks is another key takeaway. The article also points to the increasing importance of compute infrastructure and AI factories, as well as AI's proven problem-solving abilities in elite competitions. Finally, it notes the growing focus on AI governance and national policy, exemplified by the U.S. Executive Order. The article is informative and well-structured, offering valuable insights into the evolving AI landscape.
Reference

"The industry doubled down on “AI factories” and next-gen infrastructure. NVIDIA’s Blackwell Ultra messaging was basically: enterprises are building production lines for intelligence."

Real Estate#Market Trends📝 BlogAnalyzed: Dec 26, 2025 11:23

Hong Kong is No Longer "Li's City"

Published:Dec 26, 2025 11:20
1 min read
36氪

Analysis

This article from 36Kr discusses the shift in Hong Kong's commercial real estate market, traditionally dominated by local tycoons like the Li family, towards mainland Chinese tech giants. It highlights recent acquisitions by companies like JD.com, Alibaba, and Ant Group, driven by factors such as declining property prices, the need for overseas expansion, and Hong Kong's strategic position as a gateway for mainland businesses. The article also notes the increasing presence of mainland buyers in the residential market, signaling a broader trend of mainland capital reshaping Hong Kong's economic landscape. The analysis includes insights from real estate firms and data on property price trends, providing a comprehensive overview of the changing dynamics.
Reference

Hong Kong is transforming from a 'transfer station' for international brands entering the mainland to a 'testing ground' for mainland supply chains going overseas.

Analysis

This PC Watch article reminisces about the VAIO P, a compact and innovative ultra-mobile PC released 15 years ago. The article highlights its advanced features, such as a high-resolution display and optional SSD, but also notes its inability to run Windows 11. The core of the article focuses on the user's journey to find a suitable operating system to keep the device functional and relevant despite its age. It touches upon the challenges of maintaining older hardware and the creative solutions users employ to extend the lifespan of their beloved devices. The article appeals to nostalgia and the desire to repurpose older technology, showcasing the ingenuity of users in overcoming technological limitations.
Reference

"VAIO P... Readers of our magazine will surely answer immediately, 'The one that fits in your pocket (but only half of it fits).'"

Research#llm🏛️ OfficialAnalyzed: Dec 25, 2025 23:50

Are the recent memory issues in ChatGPT related to re-routing?

Published:Dec 25, 2025 15:19
1 min read
r/OpenAI

Analysis

This post from the OpenAI subreddit highlights a user experiencing memory issues with ChatGPT, specifically after updates 5.1 and 5.2. The user notes that the problem seems to be exacerbated when using the 4o model, particularly during philosophical conversations. The AI appears to get "re-routed," leading to repetitive behavior and a loss of context within the conversation. The user suspects that the memory resets after these re-routes. This anecdotal evidence suggests a potential bug or unintended consequence of recent updates affecting the model's ability to maintain context and coherence over extended conversations. Further investigation and confirmation from OpenAI are needed to determine the root cause and potential solutions.

Key Takeaways

Reference

"It's as if the memory of the chat resets after the re-route."

Research#llm📝 BlogAnalyzed: Dec 25, 2025 13:44

Can Prompt Injection Prevent Unauthorized Generation and Other Harassment?

Published:Dec 25, 2025 13:39
1 min read
Qiita ChatGPT

Analysis

This article from Qiita ChatGPT discusses the use of prompt injection to prevent unintended generation and harassment. The author notes the rapid advancement of AI technology and the challenges of keeping up with its development. The core question revolves around whether prompt injection techniques can effectively safeguard against malicious use cases, such as unauthorized content generation or other forms of AI-driven harassment. The article likely explores different prompt injection strategies and their effectiveness in mitigating these risks. Understanding the limitations and potential of prompt injection is crucial for developing robust and secure AI systems.
Reference

Recently, the evolution of AI technology is really fast.

Research#llm📝 BlogAnalyzed: Dec 24, 2025 17:44

Learning Representations by Backpropagation: Study Notes

Published:Dec 24, 2025 05:34
1 min read
Zenn LLM

Analysis

This article, sourced from Zenn LLM, appears to be a study note on learning representations using backpropagation. Without the actual content, it's difficult to provide a detailed critique. However, the title suggests a focus on the fundamental concept of backpropagation, a cornerstone of modern deep learning. The value of the article hinges on the depth and clarity of the explanation, the examples provided, and the insights offered regarding the application of backpropagation in learning meaningful representations. The source, Zenn LLM, implies a focus on practical application and potentially code examples.
Reference

N/A - Content not available

Research#llm🔬 ResearchAnalyzed: Dec 25, 2025 00:46

Multimodal AI Model Predicts Mortality in Critically Ill Patients with High Accuracy

Published:Dec 24, 2025 05:00
1 min read
ArXiv ML

Analysis

This research presents a significant advancement in using AI for predicting mortality in critically ill patients. The multimodal approach, incorporating diverse data types like time series data, clinical notes, and chest X-ray images, demonstrates improved predictive power compared to models relying solely on structured data. The external validation across multiple datasets (MIMIC-III, MIMIC-IV, eICU, and HiRID) and institutions strengthens the model's generalizability and clinical applicability. The high AUROC scores indicate strong discriminatory ability, suggesting potential for assisting clinicians in early risk stratification and treatment optimization. However, the AUPRC scores, while improved with the inclusion of unstructured data, remain relatively moderate, indicating room for further refinement in predicting positive cases (mortality). Further research should focus on improving AUPRC and exploring the model's impact on actual clinical decision-making and patient outcomes.
Reference

The model integrating structured data points had AUROC, AUPRC, and Brier scores of 0.92, 0.53, and 0.19, respectively.

Analysis

This paper introduces HARMON-E, a novel agentic framework leveraging LLMs for extracting structured oncology data from unstructured clinical notes. The approach addresses the limitations of existing methods by employing context-sensitive retrieval and iterative synthesis to handle variability, specialized terminology, and inconsistent document formats. The framework's ability to decompose complex extraction tasks into modular, adaptive steps is a key strength. The impressive F1-score of 0.93 on a large-scale dataset demonstrates the potential of HARMON-E to significantly improve the efficiency and accuracy of oncology data extraction, facilitating better treatment decisions and research. The focus on patient-level synthesis across multiple documents is particularly valuable.
Reference

We propose an agentic framework that systematically decomposes complex oncology data extraction into modular, adaptive tasks.

Research#llm🏛️ OfficialAnalyzed: Dec 24, 2025 14:32

Introduction to Vector Search: Understanding the Mechanism Through Implementation

Published:Dec 24, 2025 00:57
1 min read
Zenn OpenAI

Analysis

This article, part of the Fusic Advent Calendar 2025, aims to demystify vector search, a crucial component in LLMs and RAG systems. The author acknowledges the increasing use of vector search in professional settings but notes a lack of understanding regarding its inner workings. To address this, the article proposes a hands-on approach: learning the fundamentals of vector search and implementing a minimal vector database in Go, culminating in a search demonstration. The article targets developers and engineers seeking a practical understanding of vector search beyond its abstract applications.
Reference

LLMやRAGの普及でベクトル検索を業務で使ったり聞いたりすることはあるけれど、中で何が起きているのか理解している人はまだ少ないのではないでしょうか。

AI#AI Agents📝 BlogAnalyzed: Dec 24, 2025 13:50

Technical Reference for Major AI Agent Development Tools

Published:Dec 23, 2025 23:21
1 min read
Zenn LLM

Analysis

This article serves as a technical reference for AI agent development tools, categorizing them based on a subjective perspective. It aims to provide an overview and basic specifications of each tool. The article is based on research notes from a previous work focusing on creating a "map" of AI agent development. The categorization includes code-based frameworks, and other categories which are not fully described in the provided excerpt. The article's value lies in its attempt to organize and present information on a rapidly evolving field, but its subjective categorization might limit its objectivity.
Reference

本書は、主要なAIエージェント開発ツールを調査し、技術的観点から分類し、それぞれの概要と基本仕様を提示するリファレンスである。

Research#llm📝 BlogAnalyzed: Dec 24, 2025 19:58

AI Presentation Tool 'Logos' Born to Structure Brain Chaos Because 'Organizing Thoughts is a Pain'

Published:Dec 23, 2025 11:53
1 min read
Zenn Gemini

Analysis

This article discusses the creation of 'Logos,' an AI-powered presentation tool designed to help individuals who struggle with organizing their thoughts. The tool leverages Next.js 14, Vercel AI SDK, and Gemini to generate slides dynamically from bullet-point notes, offering a 'Generative UI' experience. A notable aspect is its 'ultimate serverless' architecture, achieved by compressing all data into a URL using lz-string, eliminating the need for a database. The article highlights the creator's personal pain point of struggling with thought organization as the primary motivation for developing the tool, making it a relatable solution for many engineers and other professionals.
Reference

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。

Research#Agent🔬 ResearchAnalyzed: Jan 10, 2026 08:25

HARMON-E: AI Extracts Structured Data from Oncology Notes

Published:Dec 22, 2025 20:38
1 min read
ArXiv

Analysis

This research paper introduces HARMON-E, a novel approach using hierarchical agentic reasoning for extracting structured data from unstructured oncology notes. The focus on multimodal data processing indicates a potential for robust and comprehensive data extraction in a complex domain.
Reference

HARMON-E leverages hierarchical agentic reasoning.