Search:
Match:
59 results
research#deep learning📝 BlogAnalyzed: Jan 19, 2026 01:30

Demystifying Deep Learning: A Mathematical Journey for Engineers!

Published:Jan 19, 2026 01:19
1 min read
Qiita DL

Analysis

This series is a fantastic resource for anyone wanting to truly understand Deep Learning! It bridges the gap between complex math and practical application, offering a clear and accessible guide for engineers and students alike. The author's personal experiences with learning the material makes it relatable and incredibly helpful.
Reference

Deep Learning is made accessible through a focus on the connection between math and concepts.

product#llm📝 BlogAnalyzed: Jan 17, 2026 13:45

Boosting Development with AI: A New Approach to Coding

Published:Jan 17, 2026 04:22
1 min read
Zenn Gemini

Analysis

This article highlights an innovative approach to software development, using AI as a coding partner. The author explores how 'context engineering' can overcome common frustrations in AI-assisted coding, leading to a smoother and more effective development process. This is a fascinating glimpse into the future of coding workflows!

Key Takeaways

Reference

The article focuses on how the author collaborated with Gemini 3.0 Pro during the development process.

product#image generation📝 BlogAnalyzed: Jan 14, 2026 00:15

AI-Powered Character Creation: A Designer's Journey with Whisk

Published:Jan 14, 2026 00:02
1 min read
Qiita AI

Analysis

This article explores the practical application of AI tools like Whisk for character design, a crucial area for content creators. While focusing on the challenges faced by non-illustrative designers, the success and failure can provide valuable insights to other AI-based character generation tools and workflows.

Key Takeaways

Reference

The article references previous attempts to use AI like ChatGPT and Copilot, highlighting the common issues of character generation: vanishing features and unwanted results.

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.

product#llm📝 BlogAnalyzed: Jan 4, 2026 08:27

AI-Accelerated Parallel Development: Breaking Individual Output Limits in a Week

Published:Jan 4, 2026 08:22
1 min read
Qiita LLM

Analysis

The article highlights the potential of AI to augment developer productivity through parallel development, but lacks specific details on the AI tools and methodologies used. Quantifying the actual contribution of AI versus traditional parallel development techniques would strengthen the argument. The claim of achieving previously impossible output needs substantiation with concrete examples and performance metrics.
Reference

この1週間、GitHubで複数のプロジェクトを同時並行で進め、AIを活用することで個人レベルでは不可能だったアウトプット量と質を実現しました。

business#agi📝 BlogAnalyzed: Jan 4, 2026 10:12

AGI Hype Cycle: A 2025 Retrospective and 2026 Forecast

Published:Jan 4, 2026 08:15
1 min read
Forbes Innovation

Analysis

The article's value hinges on the author's credibility and accuracy in predicting AGI timelines. Without specific details on the analyses or predictions, it's difficult to assess its substance. The retrospective approach could offer valuable insights into the challenges of AGI development.

Key Takeaways

Reference

Claims were made that we were on the verge of pinnacle AI. Not yet.

Analysis

The article discusses a paradigm shift in programming, where the abstraction layer has moved up. It highlights the use of AI, specifically Gemini, in Firebase Studio (IDX) for co-programming. The core idea is that natural language is becoming the programming language, and AI is acting as the compiler.
Reference

The author's experience with Gemini and co-programming in Firebase Studio (IDX) led to the realization of a paradigm shift.

Research#llm📝 BlogAnalyzed: Jan 3, 2026 18:02

The Emptiness of Vibe Coding Resembles the Emptiness of Scrolling Through X's Timeline

Published:Jan 3, 2026 05:33
1 min read
Zenn AI

Analysis

The article expresses a feeling of emptiness and lack of engagement when using AI-assisted coding (vibe coding). The author describes the process as simply giving instructions, watching the AI generate code, and waiting for the generation limit to be reached. This is compared to the passive experience of scrolling through X's timeline. The author acknowledges that this method can be effective for achieving the goal of 'completing' an application, but the experience lacks a sense of active participation and fulfillment. The author intends to reflect on this feeling in the future.
Reference

The author describes the process as giving instructions, watching the AI generate code, and waiting for the generation limit to be reached.

Analysis

This article discusses the author's frustration with implementing Retrieval-Augmented Generation (RAG) with ChatGPT and their subsequent switch to using Gemini Pro's long context window capabilities. The author highlights the complexities and challenges associated with RAG, such as data preprocessing, chunking, vector database management, and query tuning. They suggest that Gemini Pro's ability to handle longer contexts directly eliminates the need for these complex RAG processes in certain use cases.
Reference

"I was tired of the RAG implementation with ChatGPT, so I completely switched to Gemini Pro's 'brute-force long context'."

Analysis

The article discusses the author of the popular manga 'Cooking Master Boy' facing a creative block after a significant plot point (the death of the protagonist). The author's reliance on AI for solutions highlights the growing trend of using AI in creative processes, even if the results are not yet satisfactory. The situation also underscores the challenges of long-running series and the pressure to maintain audience interest.

Key Takeaways

Reference

The author, after killing off the protagonist, is now stuck and has turned to AI for help, but hasn't found a satisfactory solution yet.

Analysis

This paper addresses a limitation in Bayesian regression models, specifically the assumption of independent regression coefficients. By introducing the orthant normal distribution, the authors enable structured prior dependence in the Bayesian elastic net, offering greater modeling flexibility. The paper's contribution lies in providing a new link between penalized optimization and regression priors, and in developing a computationally efficient Gibbs sampling method to overcome the challenge of an intractable normalizing constant. The paper demonstrates the benefits of this approach through simulations and a real-world data example.
Reference

The paper introduces the orthant normal distribution in its general form and shows how it can be used to structure prior dependence in the Bayesian elastic net regression model.

Analysis

The article discusses the author's career transition from NEC to Preferred Networks (PFN) and reflects on their research journey, particularly focusing on the challenges of small data in real-world data analysis. It highlights the shift from research to decision-making, starting with the common belief that humans are superior to machines in small data scenarios.

Key Takeaways

Reference

The article starts with the common saying, "Humans are stronger than machines with small data."

LLM App Development: Common Pitfalls Before Outsourcing

Published:Dec 31, 2025 02:19
1 min read
Zenn LLM

Analysis

The article highlights the challenges of developing LLM-based applications, particularly the discrepancy between creating something that 'seems to work' and meeting specific expectations. It emphasizes the potential for misunderstandings and conflicts between the client and the vendor, drawing on the author's experience in resolving such issues. The core problem identified is the difficulty in ensuring the application functions as intended, leading to dissatisfaction and strained relationships.
Reference

The article states that LLM applications are easy to make 'seem to work' but difficult to make 'work as expected,' leading to issues like 'it's not what I expected,' 'they said they built it to spec,' and strained relationships between the team and the vendor.

Analysis

This paper addresses the computational bottleneck in simulating quantum many-body systems using neural networks. By combining sparse Boltzmann machines with probabilistic computing hardware (FPGAs), the authors achieve significant improvements in scaling and efficiency. The use of a custom multi-FPGA cluster and a novel dual-sampling algorithm for training deep Boltzmann machines are key contributions, enabling simulations of larger systems and deeper variational architectures. This work is significant because it offers a potential path to overcome the limitations of traditional Monte Carlo methods in quantum simulations.
Reference

The authors obtain accurate ground-state energies for lattices up to 80 x 80 (6400 spins) and train deep Boltzmann machines for a system with 35 x 35 (1225 spins).

Research#llm📝 BlogAnalyzed: Jan 3, 2026 08:10

Tracking All Changelogs of Claude Code

Published:Dec 30, 2025 22:02
1 min read
Zenn Claude

Analysis

This article from Zenn discusses the author's experience tracking the changelogs of Claude Code, an AI model, throughout 2025. The author, who actively discusses Claude Code on X (formerly Twitter), highlights 2025 as a significant year for AI agents, particularly for Claude Code. The article mentions a total of 176 changelog updates and details the version releases across v0.2.x, v1.0.x, and v2.0.x. The author's dedication to monitoring and verifying these updates underscores the rapid development and evolution of the AI model during this period. The article sets the stage for a deeper dive into the specifics of these updates.
Reference

The author states, "I've been talking about Claude Code on X (Twitter)." and "2025 was a year of great leaps for AI agents, and for me, it was the year of Claude Code."

Export Slack to Markdown and Feed to AI

Published:Dec 30, 2025 21:07
1 min read
Zenn ChatGPT

Analysis

The article describes the author's desire to leverage Slack data with AI, specifically for tasks like writing and research. The author encountered limitations with existing Slack bots for AI integration, such as difficulty accessing older posts, potential enterprise-level subscription requirements, and an inefficient process for bulk data input. The author's situation involves having Slack app access but lacking administrative privileges.
Reference

The author wants to use Slack data with AI for tasks like writing and research. They found existing Slack bots to be unsatisfactory due to issues like difficulty accessing older posts and potential enterprise subscription requirements.

The Feeling of Stagnation: What I Realized by Using AI Throughout 2025

Published:Dec 30, 2025 13:57
1 min read
Zenn ChatGPT

Analysis

The article describes the author's experience of integrating AI into their work in 2025. It highlights the pervasive nature of AI, its rapid advancements, and the pressure to adopt it. The author expresses a sense of stagnation, likely due to over-reliance on AI tools for tasks that previously required learning and skill development. The constant updates and replacements of AI tools further contribute to this feeling, as the author struggles to keep up.
Reference

The article includes phrases like "code completion, design review, document creation, email creation," and mentions the pressure to stay updated with AI news to avoid being seen as a "lagging engineer."

Technology#Generative AI📝 BlogAnalyzed: Jan 3, 2026 06:12

Reflecting on How to Use Generative AI Learned in 2025

Published:Dec 30, 2025 00:00
1 min read
Zenn Gemini

Analysis

The article is a personal reflection on the use of generative AI, specifically Gemini, over a year. It highlights the author's increasing proficiency and enjoyment in using AI, particularly in the last month. The author intends to document their learning for future reference as AI technology evolves. The initial phase of use was limited to basic tasks, while the later phase shows significant improvement and deeper engagement.
Reference

The author states, "I've been using generative AI for work for about a year. Especially in the last month, my ability to use generative AI has improved at an accelerated pace." They also mention, "I was so excited about using generative AI for the last two weeks that I only slept for 3 hours a night! Scary!"

Research#llm📝 BlogAnalyzed: Dec 29, 2025 08:02

Guide to Building a Claude Code Environment on Windows 11

Published:Dec 29, 2025 06:42
1 min read
Qiita AI

Analysis

This article is a practical guide on setting up the Claude Code environment on Windows 11. It highlights the shift from using npm install to the recommended native installation method. The article seems to document the author's experience in setting up the environment, likely including challenges and solutions encountered. The mention of specific dates (2025/06 and 2025/12) suggests a timeline of the author's attempts and the evolution of the recommended installation process. It would be beneficial to have more details on the specific steps involved in the native installation and any troubleshooting tips.
Reference

ClaudeCode was initially installed using npm install, but now native installation is recommended.

Analysis

This paper introduces a novel Driving World Model (DWM) that leverages 3D Gaussian scene representation to improve scene understanding and multi-modal generation in driving environments. The key innovation lies in aligning textual information directly with the 3D scene by embedding linguistic features into Gaussian primitives, enabling better context and reasoning. The paper addresses limitations of existing DWMs by incorporating 3D scene understanding, multi-modal generation, and contextual enrichment. The use of a task-aware language-guided sampling strategy and a dual-condition multi-modal generation model further enhances the framework's capabilities. The authors validate their approach with state-of-the-art results on nuScenes and NuInteract datasets, and plan to release their code, making it a valuable contribution to the field.
Reference

Our approach directly aligns textual information with the 3D scene by embedding rich linguistic features into each Gaussian primitive, thereby achieving early modality alignment.

business#codex🏛️ OfficialAnalyzed: Jan 5, 2026 10:22

Codex Logs: A Blueprint for AI Intern Training

Published:Dec 29, 2025 00:47
1 min read
Zenn OpenAI

Analysis

The article draws a compelling parallel between debugging Codex logs and mentoring AI interns, highlighting the importance of understanding the AI's reasoning process. This analogy could be valuable for developing more transparent and explainable AI systems. However, the article needs to elaborate on specific examples of how Codex logs are used in practice for intern training to strengthen its argument.
Reference

最初にそのログを見たとき、私は「これはまさにインターンに教えていることと同じだ」と感じました。

Business Idea#AI in Travel📝 BlogAnalyzed: Dec 29, 2025 01:43

AI-Powered Price Comparison Tool for Airlines and Travel Companies

Published:Dec 29, 2025 00:05
1 min read
r/ArtificialInteligence

Analysis

The article presents a practical problem faced by airlines: unreliable competitor price data collection. The author, working for an international airline, identifies a need for a more robust and reliable solution than the current expensive, third-party service. The core idea is to leverage AI to build a tool that automatically scrapes pricing data from competitor websites and compiles it into a usable database. This concept addresses a clear pain point and capitalizes on the potential of AI to automate and improve data collection processes. The post also seeks feedback on the feasibility and business viability of the idea, demonstrating a proactive approach to exploring AI solutions.
Reference

Would it be possible to in theory build a tool that collects prices from travel companies websites, and complies this data into a database for analysis?

Analysis

This paper introduces novel generalizations of entanglement entropy using Unit-Invariant Singular Value Decomposition (UISVD). These new measures are designed to be invariant under scale transformations, making them suitable for scenarios where standard entanglement entropy might be problematic, such as in non-Hermitian systems or when input and output spaces have different dimensions. The authors demonstrate the utility of UISVD-based entropies in various physical contexts, including Biorthogonal Quantum Mechanics, random matrices, and Chern-Simons theory, highlighting their stability and physical relevance.
Reference

The UISVD yields stable, physically meaningful entropic spectra that are invariant under rescalings and normalisations.

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..."

I Asked Gemini About Antigravity Settings

Published:Dec 27, 2025 21:03
1 min read
Zenn Gemini

Analysis

The article discusses the author's experience using Gemini to understand and troubleshoot their Antigravity coding tool settings. The author had defined rules in a file named GEMINI.md, but found that these rules weren't always being followed. They then consulted Gemini for clarification, and the article shares the response received. The core of the issue revolves around ensuring that specific coding protocols, such as branch management, are consistently applied. This highlights the challenges of relying on AI tools to enforce complex workflows and the need for careful rule definition and validation.

Key Takeaways

Reference

The article mentions the rules defined in GEMINI.md, including the critical protocols for branch management, such as creating a working branch before making code changes and prohibiting work on main, master, or develop branches.

Analysis

This paper introduces Dream-VL and Dream-VLA, novel Vision-Language and Vision-Language-Action models built upon diffusion-based large language models (dLLMs). The key innovation lies in leveraging the bidirectional nature of diffusion models to improve performance in visual planning and robotic control tasks, particularly action chunking and parallel generation. The authors demonstrate state-of-the-art results on several benchmarks, highlighting the potential of dLLMs over autoregressive models in these domains. The release of the models promotes further research.
Reference

Dream-VLA achieves top-tier performance of 97.2% average success rate on LIBERO, 71.4% overall average on SimplerEnv-Bridge, and 60.5% overall average on SimplerEnv-Fractal, surpassing leading models such as $π_0$ and GR00T-N1.

Research#llm📝 BlogAnalyzed: Dec 26, 2025 17:02

AI Coding Trends in 2025

Published:Dec 26, 2025 12:40
1 min read
Zenn AI

Analysis

This article reflects on the author's AI-assisted coding experience in 2025, noting a significant decrease in manually written code due to improved AI code generation quality. The author uses Cursor, an AI coding tool, and shares usage statistics, including a 99-day streak likely related to the Expo. The piece also details the author's progression through different Cursor models, such as Claude 3.5 Sonnet, 3.7 Sonnet, Composer 1, and Opus. It provides a glimpse into a future where AI plays an increasingly dominant role in software development, potentially impacting developer workflows and skillsets. The article is anecdotal but offers valuable insights into the evolving landscape of AI-driven coding.
Reference

2025 was a year where the quality of AI-generated code improved, and I really didn't write code anymore.

Analysis

This paper investigates how the position of authors within collaboration networks influences citation counts in top AI conferences. It moves beyond content-based evaluation by analyzing author centrality metrics and their impact on citation disparities. The study's methodological advancements, including the use of beta regression and a novel centrality metric (HCTCD), are significant. The findings highlight the importance of long-term centrality and team-level network connectivity in predicting citation success, challenging traditional evaluation methods and advocating for network-aware assessment frameworks.
Reference

Long-term centrality exerts a significantly stronger effect on citation percentiles than short-term metrics, with closeness centrality and HCTCD emerging as the most potent predictors.

Research#llm📝 BlogAnalyzed: Dec 25, 2025 15:01

Analyzing 25 Advent Calendar Articles with AI

Published:Dec 25, 2025 14:58
1 min read
Qiita AI

Analysis

This article discusses the author's experience of writing 25 articles for an Advent Calendar on Qiita, motivated by the desire to win a Qiitan plush toy. The author credits AI tools for helping them complete the challenge, especially since they joined the Advent Calendar partway through. The article itself is the 26th, a reflection on the process. While brief, it hints at the potential of AI in assisting content creation and highlights the gamified aspect of participating in online communities like Qiita. It would be interesting to see a more detailed breakdown of how the AI tools were used and their specific impact on the writing process.
Reference

今年は初めてアドベントカレンダーに参加し、Qiitanぬいぐるみ欲しさに25記事完走しました!

Research#llm📝 BlogAnalyzed: Dec 25, 2025 17:53

A Generative AI-Driven Development Experience

Published:Dec 25, 2025 14:52
1 min read
Zenn ChatGPT

Analysis

This article discusses the author's experience using generative AI in system development, specifically focusing on backend development. The author shares both successes and failures encountered during the process. It's a practical account from someone actively experimenting with AI in a real-world development setting. The article highlights the current state of AI-assisted development, emphasizing that it's still a work in progress. The author openly seeks advice and insights from the community, indicating a collaborative approach to improving AI integration in development workflows. The article provides valuable insights for developers interested in exploring the potential and limitations of generative AI in backend development.
Reference

In this article, I will share my experiences, both successes and failures, of using generative AI in backend development.

Magnetic Field Dissipation in Heliosheath Improves Model Accuracy

Published:Dec 25, 2025 14:26
1 min read
ArXiv

Analysis

This paper addresses a significant discrepancy between global heliosphere models and Voyager data regarding magnetic field behavior in the inner heliosheath (IHS). The models overestimate magnetic field pile-up, while Voyager observations show a gradual increase. The authors introduce a phenomenological term to the magnetic field induction equation to account for magnetic energy dissipation due to unresolved current sheet dynamics, a computationally efficient approach. This is a crucial step in refining heliosphere models and improving their agreement with observational data, leading to a better understanding of the heliosphere's structure and dynamics.
Reference

The study demonstrates that incorporating a phenomenological dissipation term into global heliospheric models helps to resolve the longstanding discrepancy between simulated and observed magnetic field profiles in the IHS.

Analysis

This paper introduces a novel approach to accelerate quantum embedding (QE) simulations, a method used to model strongly correlated materials where traditional methods like DFT fail. The core innovation is a linear foundation model using Principal Component Analysis (PCA) to compress the computational space, significantly reducing the cost of solving the embedding Hamiltonian (EH). The authors demonstrate the effectiveness of their method on a Hubbard model and plutonium, showing substantial computational savings and transferability of the learned subspace. This work addresses a major computational bottleneck in QE, potentially enabling high-throughput simulations of complex materials.
Reference

The approach reduces each embedding solve to a deterministic ground-state eigenvalue problem in the reduced space, and reduces the cost of the EH solution by orders of magnitude.

Research#llm📝 BlogAnalyzed: Dec 25, 2025 08:22

Frankly, the Era of Humans Reading Technical Articles is Over. Yet, I Still Write Articles.

Published:Dec 25, 2025 08:18
1 min read
Qiita AI

Analysis

This article from Qiita AI discusses the changing landscape of technical information consumption. With the rise of AI, the author questions the relevance of traditional technical articles. The core argument revolves around the efficiency of AI in providing solutions and explanations compared to searching and reading through articles. The author acknowledges that AI can quickly summarize and explain complex topics, making it a preferred method for many. However, the article implies that there's still value in human-authored content, though the specific reasons are not fully elaborated in this excerpt. The article prompts reflection on the future role of technical writers in an AI-driven world.
Reference

AI can read and explain technical articles in an easy-to-understand way.

Research#llm📝 BlogAnalyzed: Dec 25, 2025 00:43

I Tried Using a Tool to Scan for Vulnerabilities in MCP Servers

Published:Dec 25, 2025 00:40
1 min read
Qiita LLM

Analysis

This article discusses the author's experience using a tool to scan for vulnerabilities in MCP servers. It highlights Cisco's increasing focus on AI security, expanding beyond traditional network and endpoint security. The article likely delves into the specifics of the tool, its functionality, and the author's findings during the vulnerability scan. It's a practical, hands-on account that could be valuable for cybersecurity professionals and researchers interested in AI security and vulnerability assessment. The mention of Cisco's GitHub repository suggests the tool is open-source or at least publicly available, making it accessible for others to use and evaluate.

Key Takeaways

Reference

Cisco is advancing advanced initiatives not only in areas such as networks and endpoints in the field of cybersecurity, but also in the relatively new area called AI security.

Research#llm📝 BlogAnalyzed: Dec 24, 2025 23:23

Created a UI Annotation Tool for AI-Native Development

Published:Dec 24, 2025 23:19
1 min read
Qiita AI

Analysis

This article discusses the author's experience with AI-assisted development, specifically in the context of web UI creation. While acknowledging the advancements in AI, the author expresses frustration with AI tools not quite understanding the nuances of UI design needs. This leads to the creation of a custom UI annotation tool aimed at alleviating these pain points and improving the AI's understanding of UI requirements. The article highlights a common challenge in AI adoption: the gap between general AI capabilities and specific domain expertise, prompting the need for specialized tools and workflows. The author's proactive approach to solving this problem is commendable.
Reference

"I mainly create web screens, and while I'm amazed by the evolution of AI, there are many times when I feel stressed because it's 'not quite right...'."

Tutorial#machine learning📝 BlogAnalyzed: Dec 24, 2025 22:17

Experiences Getting Stuck with Training Hub

Published:Dec 24, 2025 22:09
1 min read
Qiita AI

Analysis

This article discusses the author's difficulties in getting a runnable sample working with Training Hub, likely within the context of the SDG Hub and synthetic data generation. The author mentions using GCP (GCE) and a GPU, suggesting a focus on machine learning or AI model training. The core issue seems to stem from a lack of knowledge, prompting the author to document their experiences. The article likely provides practical insights and troubleshooting steps for others facing similar challenges when setting up and using Training Hub for AI/ML projects, especially those involving synthetic data.
Reference

I'm thinking of trying OSFT in Training Hub because it seems like I can create synthetic data with SDG Hub. But I had trouble getting a Runnable sample to work.

AI Agent Automation Streamlines Enterprise Workflows

Published:Dec 24, 2025 17:22
1 min read
AWS ML

Analysis

This article highlights a significant pain point for enterprises: the inefficiency of manual web-based workflows. The reliance on multiple web applications and the constant context switching leads to reduced productivity and increased error rates. The promise of AI agent-driven browser automation offers a potential solution by automating data entry, validation, and information transfer. However, the article lacks specifics on the AI agent's capabilities, implementation challenges, and potential security concerns. Further details on the AI model's architecture, training data, and integration process would strengthen the argument.
Reference

knowledge workers routinely navigate between eight to twelve different web applications during standard workflows

Research#speech recognition👥 CommunityAnalyzed: Dec 28, 2025 21:57

Can Fine-tuning ASR/STT Models Improve Performance on Severely Clipped Audio?

Published:Dec 23, 2025 04:29
1 min read
r/LanguageTechnology

Analysis

The article discusses the feasibility of fine-tuning Automatic Speech Recognition (ASR) or Speech-to-Text (STT) models to improve performance on heavily clipped audio data, a common problem in radio communications. The author is facing challenges with a company project involving metro train radio communications, where audio quality is poor due to clipping and domain-specific jargon. The core issue is the limited amount of verified data (1-2 hours) available for fine-tuning models like Whisper and Parakeet. The post raises a critical question about the practicality of the project given the data constraints and seeks advice on alternative methods. The problem highlights the challenges of applying state-of-the-art ASR models in real-world scenarios with imperfect audio.
Reference

The audios our client have are borderline unintelligible to most people due to the many domain-specific jargons/callsigns and heavily clipped voices.

Opinion#AI Ethics📝 BlogAnalyzed: Dec 24, 2025 14:20

Reflections on Working as an "AI Enablement" Engineer as an "Anti-AI" Advocate

Published:Dec 20, 2025 16:02
1 min read
Zenn ChatGPT

Analysis

This article, written without the use of any generative AI, presents the author's personal perspective on working as an "AI Enablement" engineer despite holding some skepticism towards AI. The author clarifies that the title is partially clickbait and acknowledges being perceived as an AI proponent by some. The article then delves into the author's initial interest in generative AI, tracing back to early image generation models. It promises to explore the author's journey and experiences with generative AI technologies.
Reference

この記事は私個人の見解であり、いかなる会社、組織とも関係なく、それらの公式な見解を示すものでもありません

Research#llm📝 BlogAnalyzed: Dec 25, 2025 13:28

Introducing GPT-5.2-Codex: Enhanced Agentic Coding Model

Published:Dec 19, 2025 05:21
1 min read
Simon Willison

Analysis

This article announces the release of GPT-5.2-Codex, an enhanced version of GPT-5.2 optimized for agentic coding. Key improvements include better handling of long-horizon tasks through context compaction, stronger performance on large code changes like refactors, improved Windows environment performance, and enhanced cybersecurity capabilities. The model is initially available through Codex coding agents and will later be accessible via the API. A notable aspect is the invite-only preview for cybersecurity professionals, offering access to more permissive models. While the performance improvement over GPT-5.2 on the Terminal-Bench 2.0 benchmark is marginal (1.8%), the article highlights the author's positive experience with GPT-5.2's ability to handle complex coding challenges.
Reference

GPT‑5.2-Codex is a version of GPT‑5.2 further optimized for agentic coding in Codex, including improvements on long-horizon work through context compaction, stronger performance on large code changes like refactors and migrations, improved performance in Windows environments, and significantly stronger cybersecurity capabilities.

Career#AI in Education👥 CommunityAnalyzed: Dec 28, 2025 21:57

Career Advice in Language Technology

Published:Dec 14, 2025 19:17
1 min read
r/LanguageTechnology

Analysis

This post from r/LanguageTechnology details an individual's career transition aspirations. The author, a 42-year-old with a background in language teaching and product management, is seeking a career in language technology. They've consulted ChatGPT for advice, which suggested a role as an AI linguistics specialist. The post highlights the individual's experience and education, including a BA in language teaching and a master's in linguistics. The author's past struggles in product management, attributed to performance and political issues, motivated the career shift. The post reflects a common trend of individuals leveraging their existing skills and seeking new opportunities in the growing field of AI.
Reference

Its recommendation was that I got a job as an "AI linguistics specialist" doing data annotation, labelling, error analysis, model assessment, etc.

Self-Introduction and Research Proposal

Published:Dec 7, 2025 23:54
1 min read
Zenn DL

Analysis

The article is a self-introduction and a proposal for collaboration. It highlights the author's background in biochemistry, psychology, and statistics, and lists their areas of interest, including AI, machine learning, and computational drug discovery. The tone is professional and informative, suitable for networking and research collaboration.
Reference

The author's profile includes their name, location, educational background, and areas of expertise, such as AI, machine learning, and computational drug discovery.

Analysis

The article outlines the creation of a Japanese LLM chat application using Sakura AI (GPT-OSS 120B) and Streamlit. It focuses on practical aspects like API usage, token management, UI implementation, and conversation memory. The use of OpenAI-compatible APIs and the availability of free resources are also highlighted. The focus is on building a minimal yet powerful LLM application.
Reference

The article mentions the author's background in multimodal AI research and their goal to build a 'minimal yet powerful LLM application'.

Analysis

The article highlights the author's experience at the MIRU2025 conference, focusing on Professor Nishino's lecture. It emphasizes the importance of fundamental observation and questioning the nature of 'seeing' in computer vision research, moving beyond a focus on model accuracy and architecture. The author seems to appreciate the philosophical approach to research presented by Professor Nishino.
Reference

The lecture, 'Trying to See the Invisible,' prompted the author to consider the fundamental question of 'what is seeing?' in the context of computer vision.

Research#llm📝 BlogAnalyzed: Jan 3, 2026 06:29

Best AI Coding IDE? I Tested 5, Winner Shocked Me!

Published:Feb 27, 2025 18:46
1 min read
Siraj Raval

Analysis

The article likely reviews and compares different AI-powered Integrated Development Environments (IDEs) for coding. The title suggests a surprising outcome, indicating the author found an unexpected winner among the tested IDEs. The source, Siraj Raval, is a well-known figure in the AI space, suggesting the article is likely to be informative and potentially influential within the AI community.

Key Takeaways

    Reference

    Show HN: While the world builds AI Agents, I'm just building calculators

    Published:Feb 22, 2025 08:27
    1 min read
    Hacker News

    Analysis

    The article describes a project focused on building a collection of calculators and unit converters. The author is prioritizing improving their coding skills before attempting more complex AI projects. The focus is on UI/UX and accessibility, particularly navigation. The tech stack includes Next.js, React, TypeScript, shadcn UI, and Tailwind CSS. The author is seeking feedback on the design and usability of the site.
    Reference

    I figured I needed to work on my coding skills before building the next groundbreaking AI app, so I started working on this free tool site. Its basically just an aggregation of various commonly used calculators and unit convertors.

    Llama 3.2 Interpretability with Sparse Autoencoders

    Published:Nov 21, 2024 20:37
    1 min read
    Hacker News

    Analysis

    This Hacker News post announces a side project focused on replicating mechanistic interpretability research on LLMs, inspired by work from Anthropic, OpenAI, and Deepmind. The project uses sparse autoencoders, a technique for understanding the inner workings of large language models. The author is seeking feedback from the Hacker News community.
    Reference

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

    Icebreaking AI: A Tool for Finding Close Friends

    Published:Sep 3, 2024 19:54
    1 min read
    Hacker News

    Analysis

    The article describes the creation of an AI-powered tool designed to facilitate deeper connections and friendships by generating icebreaker questions. The author, an expat, identifies a personal need for such a tool based on their experience with loneliness and difficulty forming close relationships in a new country. The tool leverages a database of questions and AI to generate relevant prompts, aiming to accelerate the process of finding like-minded individuals. The article highlights the author's personal motivation, the problem they faced, the solution they developed, and the positive reception within their community. It's a classic 'Show HN' post, focusing on a practical solution to a relatable problem.
    Reference

    The author's personal experience of loneliness and the difficulty of forming friendships in a new environment serves as the primary motivation for creating the tool. The article emphasizes the practical application and the positive impact within the author's community.

    Breaking my hand forced me to write all my code with AI for 2 months

    Published:Aug 5, 2024 16:46
    1 min read
    Hacker News

    Analysis

    The article describes a personal experience of using AI for coding due to a physical limitation. The author, who works at Anthropic, found that using AI improved their coding skills. This is a case study of AI's potential in software development and its impact on developer workflow. The 'dogfooding' aspect highlights the author's direct experience with their company's AI tools.
    Reference

    I broke my hand while biking to work and could only type with my left hand. Somewhat surprisingly, I got much "better" at writing code with AI over 2 months, and I'm sticking with the new style even now that I'm out of a cast. Full disclosure: I work at Anthropic, and this was some intense dogfooding haha.

    Research#llm📝 BlogAnalyzed: Dec 26, 2025 13:11

    EMNLP 2023 Primer

    Published:Dec 5, 2023 07:36
    1 min read
    NLP News

    Analysis

    This short article previews the EMNLP 2023 conference, highlighting papers, workshops, and observed trends. It serves as a guide for attendees or those interested in the field of Natural Language Processing. The article's value lies in its curated selection, offering a focused perspective on what the author deems noteworthy. However, the brevity means it lacks in-depth analysis of the selected topics. Readers should expect a high-level overview rather than a comprehensive review of the conference. It would be beneficial to know the author's specific area of expertise within NLP to better understand the selection criteria.

    Key Takeaways

    Reference

    In this newsletter, I’ll discuss a selection of exciting papers and workshops I’m looking forward to at EMNLP 2023 and the trends I observed.