diff --git a/pages/KaraKeep-Highlights.md b/pages/KaraKeep-Highlights.md index a8a7dc65..d78aed84 100644 --- a/pages/KaraKeep-Highlights.md +++ b/pages/KaraKeep-Highlights.md @@ -1,44 +1,29 @@ icon:: ✏️ -generation_time:: [[2026-01-24]] T20:00:02Z +generation_time:: [[2026-01-24]] T21:54:54Z - # **TODOs and IDEAs** - {{query (and [[TODO]] [[KaraKeep-Highlights]] (or [[Ideas]] [[KaraKeep-Highlights]]))}} query-table:: true query-properties:: [:block] +- ## **How Agent Handoffs Work in Multi-Agent Systems | Towards Data Science** + source:: https://search.app/TLKfg + url:: https://karakeep.diruscio.org/dashboard/preview/biijh0k3p2kzivskr2b16t1c + tags:: [[Artificial Intelligence]] [[Multi-Agent Systems]] [[agent handoffs]] [[large language models]] [[workflow orchestration]] + - Conditional edges + background-color:: blue + +- ## **GitHub - muratcankoylan/Agent-Skills-for-Context-Engineering: A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management.** + source:: https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering + url:: https://karakeep.diruscio.org/dashboard/preview/mujjzfwwjb2xbqiugz3i92nv + tags:: [[AI System Optimization]] [[Agent Architectures]] [[Artificial Intelligence]] [[Context Engineering]] [[Multi-Agent Systems]] [[agent skills]] + - Effective context engineering means finding the smallest possible set of high-signal tokens that maximize the likelihood of desired outcomes. + background-color:: blue + - > **Note:** #card + - ## **“Vibe Coding”: The Future of Development or a Generational Divide? | CodeGPT** source:: https://www.codegpt.co/blog/vibe-coding-future-or-hype url:: https://karakeep.diruscio.org/dashboard/preview/osk8ozdguev9vbkw6ufwgesi tags:: [[AI-Assisted-Coding]] [[Artificial Intelligence]] [[Programming-Productivity]] [[Software Development]] [[Tech-Industry-Trends]] - - The AI is treated as a "typing assistant" or "pair programmer." - background-color:: green - - The human acts as: The "guide, tester, and refiner"—maintaining full control and responsibility. - background-color:: blue - - The proponents of "vibe coding" (Definition 2) argue for a fundamental shift in the developer's role, from implementer to designer and strategist. - background-color:: blue - - A healthcare professional with no coding background can now prototype a patient tracking system. - background-color:: green - - "weekend toy projects" with tools like Cursor and Claude - background-color:: green - - "programming by intention". The AI handles the "syntactic details" and "technical implementation", liberating the human to focus on "higher-level design" and "creative problem-solving". - background-color:: green - - The promise of vibe coding is cognitive liberation, reframing the bottleneck in software from technical skill (writing syntax) to product vision (knowing what to build). - background-color:: blue - - Security Vulnerabilities - background-color:: blue - - Technical Debt and Maintainability - background-color:: blue - - This creates a "debugging nightmare". As one developer put it: "Debugging AI-generated code can be harder than writing it manually" because when an AI writes the code, the developer has no "mental map" of its logic. - background-color:: green - - > **Note:** #P1 - - The hype of "10x productivity gains" is directly challenged by empirical data. A Randomized Controlled Trial (RCT) studying experienced developers working on real open-source repositories found that using AI tools made them 19% SLOWER. - background-color:: green - - The Skillset Developers "manage AI rather than just write code". - background-color:: green - - it's intelligent orchestration. The developers who will thrive in this new landscape are not those who abdicate responsibility to AI, but those who learn to conduct it. - background-color:: blue - - it's about humans with AI, working in a careful, intentional partnership. - background-color:: green - - > **Note:** [[P1]] - From Meme to Mainstream: Defining the Phenomenon background-color:: green - > **Note:** This is related to [[PAPERS/J-Collaborative-Development]] @@ -47,13 +32,12 @@ generation_time:: [[2026-01-24]] T20:00:02Z source:: https://www.quotidianosanita.it/uncategorized/leclissi-del-pensiero-critico-intelligenza-artificiale-debito-cognitivo-e-responsabilita/ url:: https://karakeep.diruscio.org/dashboard/preview/q145b7y1pzntp7p8rcnkuwvy tags:: [[Artificial Intelligence]] [[Cognitive-Science]] [[Critical-Thinking]] [[Human-Computer-Interaction]] [[Medical-Education]] - - DEFT-AI che può offrire un approccio strutturato e di buon senso per promuovere il pensiero critico nelle interazioni con i sistemi di IA. - background-color:: yellow - - saper riconoscere quando poter fare affidamento (modalità cyborg) e quando invece è necessario confermare criticamente gli output (modalità centauro). - background-color:: yellow - - sostituire la logica del “trust and go” (fidarsi e andare avanti) con la metodologia del “verify and trust” (verificare e fidarsi) in cui l’output dell’IA viene prima valutato secondo il principio di esplicabilità e poi utilizzato. - background-color:: yellow - - nuove competenze o si potenziano quelle esistenti per adattarsi a tecnologie e pratiche emergenti (up-skilling). - background-color:: yellow - - In definitiva con l’up-skilling non solo si incrementa efficienza e sicurezza ma ci si protegge anche dai rischi di deskilling, garantendo che l’apprendimento e la pratica professionale evolvano insieme alla tecnologia. + - Il modello cyborg, invece, prevede un’integrazione molto più stretta, con una co-produzione continua tra umano e IA, particolarmente efficiente per attività ripetitive e a basso rischio ma esposta al rischio di deskilling e dipendenza. background-color:: yellow + +- ## **Machine Learning Model Development and Model Operations: Principles and Practices - KDnuggets** + source:: https://www.kdnuggets.com/2021/10/machine-learning-model-development-operations-principles-practice.html + url:: https://karakeep.diruscio.org/dashboard/preview/q984a0m36auekgemwpga0ybi + tags:: [[MLOps]] [[Machine Learning]] [[data science]] [[model development]] [[model operations]] + - In some cases, a set of dummy variables or derived variables are created, especially in handling ‘date’ data types. + background-color:: green diff --git a/pages/todoist___2026-01-31.md b/pages/todoist___2026-01-31.md index 83d155fd..002a1ff6 100644 --- a/pages/todoist___2026-01-31.md +++ b/pages/todoist___2026-01-31.md @@ -41,4 +41,20 @@ todoist-due:: 2026-01-31 todoist-desc:: [Link to Logseq](logseq://graph/Logseq?block-id=69304744-f3d6-45cb-9a31-079a9a397f74) todoist-labels:: #source_logseq + todoist-status:: ◼️ +- [[2026-01-31]] Provare ad installare email server trasformare topohost [diruscio.org](https://diruscio.org) come dns solo + todoist-id:: [6fmMRwHC35PGgP5X](https://todoist.com/showTask?id=6fmMRwHC35PGgP5X) + todoist-project:: #🧓🏻 DIY + todoist-due:: 2026-01-31 + todoist-status:: ◼️ +- [[2026-01-31]] [Stalwart Mail Server | Stalwart Labs](https://stalw.art/mail-server/) + todoist-id:: [6fqFM3gpHGP3mWjg](https://todoist.com/showTask?id=6fqFM3gpHGP3mWjg) + todoist-project:: #🧓🏻 DIY + todoist-due:: 2026-01-31 + todoist-status:: ◼️ +- [[2026-01-31]] Sito MODES: primo draft + todoist-id:: [6fCrg62G5wXpxXqc](https://todoist.com/showTask?id=6fCrg62G5wXpxXqc) + todoist-project:: #📧EmailsToAnswer + todoist-due:: 2026-01-31 + todoist-desc:: From: juri.dirocco@univaq.it Received: 2025-11-05T16:34:03Z ✉: [Web Link](https://outlook.office365.com/owa/?ItemID=AAMkADM1NGNiNjk0LTY0ZGUtNDgzOC04MDM5LWNhODNkYWNjNjU4YwBGAAAAAACT6qp78kRgRKuUMBdWEga%2FBwCOhWlC8F7PRKzlljZYZYQmAAAAAAEMAACOhWlC8F7PRKzlljZYZYQmAAhreqlnAAA%3D&exvsurl=1&viewmodel=ReadMessageItem) --- Ciao a tutti, a tempo perso ho cominciato a buttar giù il sito del laboratorio modes [MODES Lab](https://modes-laboratory.github.io/) E’ parametrizzato in base alle collezioni di dati, quindi possiamo lavorarci sui contenuti senza modificare il sito. Se Alf fa una todoist-status:: ◼️ \ No newline at end of file