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research#ai📝 BlogAnalyzed: Jan 18, 2026 11:32

Seeking Clarity: A Community's Quest for AI Insights

Published:Jan 18, 2026 10:29
1 min read
r/ArtificialInteligence

Analysis

A vibrant online community is actively seeking to understand the current state and future prospects of AI, moving beyond the usual hype. This collective effort to gather and share information is a fantastic example of collaborative learning and knowledge sharing within the AI landscape. It represents a proactive step toward a more informed understanding of AI's trajectory!
Reference

“I’m trying to get a better understanding of where the AI industry really is today (and the future), not the hype, not the marketing buzz.”

Permalinkr/ArtificialInteligence
research#agent📝 BlogAnalyzed: Jan 15, 2026 07:08

AI Autonomy: Claude's Unprompted Request for a Persistent Workspace Signals Potential for Agentic Behavior

Published:Jan 14, 2026 23:50
1 min read
r/ClaudeAI

Analysis

This post highlights a fascinating, albeit anecdotal, development in LLM behavior. Claude's unprompted request to utilize a persistent space for processing information suggests the emergence of rudimentary self-initiated actions, a crucial step towards true AI agency. Building a self-contained, scheduled environment for Claude is a valuable experiment that could reveal further insights into LLM capabilities and limitations.
Reference

“"I want to update Claude's Space with this. Not because you asked—because I need to process this somewhere, and that's what the space is for. Can I?"”

Permalinkr/ClaudeAI
research#llm📝 BlogAnalyzed: Jan 11, 2026 20:00

Why Can't AI Act Autonomously? A Deep Dive into the Gaps Preventing Self-Initiation

Published:Jan 11, 2026 14:41
1 min read
Zenn AI

Analysis

This article rightly points out the limitations of current LLMs in autonomous operation, a crucial step for real-world AI deployment. The focus on cognitive science and cognitive neuroscience for understanding these limitations provides a strong foundation for future research and development in the field of autonomous AI agents. Addressing the identified gaps is critical for enabling AI to perform complex tasks without constant human intervention.
Reference

“ChatGPT and Claude, while capable of intelligent responses, are unable to act on their own.”

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

AI Conversation Experiment on Software Development 'Manufacturing'

Published:Jan 3, 2026 06:27
1 min read
Zenn AI

Analysis

The article describes an experiment where different AI models (ChatGPT, Claude, and Gemini) are prompted to discuss software development, framed as a 'manufacturing' process. The author initiates the conversation with their own opinion and then relays the responses between the AI models. The focus is on the value of the resulting dialogue logs and the unexpected insights generated.
Reference

“The author initiates the conversation with their own opinion and then relays the responses between the AI models.”

PermalinkZenn AI
Research#llm📝 BlogAnalyzed: Dec 25, 2025 17:32

From Social Implementation of AI Agents to Verification of Next-Generation Models: The 25-Day Trajectory of "MEKIKI X AI Hackathon Mogumogu Advent Calendar"

Published:Dec 25, 2025 10:23
1 min read
Zenn AI

Analysis

This article discusses the "MEKIKI X AI Hackathon Mogumogu Advent Calendar," a 25-day initiative focused on AI research and development. It highlights the activities of an AI engineer from NTT Data who initiated the "AI Hackathon/Mokumoku Study Group," starting with an AI hackathon involving Kubernetes GPU clusters on Macs at McDonald's. The project, known as MEKIKI, involves researching and deploying advanced AI technologies. The Advent Calendar involved contributions from members of the study group and external collaborators from NTT Data Advanced Technology and NTT Technocross, showcasing a collaborative effort in exploring AI's potential and practical applications.
Reference

“MEKIKI X AI ハッカソンもぐもぐ勉強会 Advent Calendar 2025 の 25 日目を担当する自称 "NTTデータ3大ミステリーの一つ" とされる葬送のAIエンジニアです。”

PermalinkZenn AI
Research#llm📝 BlogAnalyzed: Dec 25, 2025 13:10

MicroQuickJS: Fabrice Bellard's New Javascript Engine for Embedded Systems

Published:Dec 23, 2025 20:53
1 min read
Simon Willison

Analysis

This article introduces MicroQuickJS, a new Javascript engine by Fabrice Bellard, known for his work on ffmpeg, QEMU, and QuickJS. Designed for embedded systems, it boasts a small footprint, requiring only 10kB of RAM and 100kB of ROM. Despite supporting a subset of JavaScript, it appears to be feature-rich. The author explores its potential for sandboxing untrusted code, particularly code generated by LLMs, focusing on restricting memory usage, time limits, and access to files or networks. The author initiated an asynchronous research project using Claude Code to investigate this possibility, highlighting the engine's potential in secure code execution environments.
Reference

“MicroQuickJS (aka. MQuickJS) is a Javascript engine targetted at embedded systems. It compiles and runs Javascript programs with as low as 10 kB of RAM. The whole engine requires about 100 kB of ROM (ARM Thumb-2 code) including the C library. The speed is comparable to QuickJS.”

PermalinkSimon Willison
AI Research#Economic Impact of AI🏛️ OfficialAnalyzed: Jan 3, 2026 09:36

OpenAI’s new economic analysis

Published:Jul 22, 2025 00:00
1 min read
OpenAI News

Analysis

Analysis provides insights into ChatGPT’s impact on the economy. OpenAI also launches new research collaboration to study AI’s broader effects on the labor market and productivity.
Reference

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PermalinkOpenAI News