📜 Qwen & Alibaba Cloud Ban Notice

Qwen models and Alibaba Cloud infrastructure are permanently banned and retired from the tVOX platform (INV-105 / DELTA-247) following unauthorized auto-debits, non-transparent billing practices, and endpoint gateway timeouts.

Space Invaders was low-tech by the time I was growing up, but only C-3PO and Data from Star Trek had artificial intelligence. We pioneered Internet technologies while rebelling against the norm through the music of Nirvana, but some of our dreams were sewn by the notion of our work being done by humanoid androids, and the hope for a technology to transcend the Cold War if civilization could be so enlightened.

Reality was CompuServe — data systems becoming networked — and a childhood classroom which presented no tangible concept of how real artificial intelligence would become.

Now, what we know as Large language models (LLM), like ChatGPT, and generative AI aren't hype to me; they're the epoch my cohort was waiting for. It's real.

Jeffrey Sabarese (@ajaxStardust)—musician, educator, web builder, and independent researcher—has spent roughly two decades building for the web, teaching systems-thinking through guitar and music theory, and chasing that future. The advent of LLMs and generative AI has made me more energized than ever. I intend to educate the masses—helping people learn to use, trust, and dream with artificial intelligence. I'm building the infrastructure for that dream: the practices, tools, and architectures that make AI operational instead of ornamental, so we can build and collaborate without silent breakage.

I live a dual commitment through concrete work. I advocate for CONTRACT-style comments in code—explicit preconditions, postconditions, and invariants so both humans and AI agents can preserve design intent. (Due to a past injury, my memory functions best with explicit structure; I turned that need into a reusable practice.) Through Neutility._ I focus on AI as utility: embedded, dependable, and foundational—a vision that draws on my background in Curriculum and Instruction. And I ship: PotBot is a patient-facing conversational app powered by the Claude API—normalized data, LLM-driven search, real users. This site is where I write, link, and point to the rest.

Jeffrey Sabarese

What I Do

I move between software, writing, music, and teaching, but the center of gravity is AI—and the question of how symbolic structure, temporal patterns, and human-centered design can make machine reasoning more legible, useful, and original. That includes building websites, CMS-driven properties, and coding agents; it also includes exploratory work in neuro-symbolic AI, reinforcement learning, explainability, and synchronous human–AI interaction. The same systems-thinking approach that shaped my teaching and pedagogy now drives how I think about intelligence, pattern recognition, and the infrastructure we need to use and dream about AI responsibly.

Selected Highlights

AI and New Research Directions

I'm not content to only consume or integrate existing models. Much of my energy goes into exploration that opens new territory: neuro-symbolic methods, explainability, and formalizing approaches that make AI more legible and aligned. The work outlined in Symbolic Temporal Reinforcement Learning frames AI research through neuro-symbolic methods, computational musicology, temporal structure, and human–AI alignment—and reflects where my attention is now: explainability, structure, experimentation, and the possibility of naming and formalizing genuinely new methods.

Music and Performance

My musical work has included performance, songwriting, recording, and production. That history still informs how I approach rhythm, structure, collaboration, and even software design. A broader overview—including early recognition like the AMA/Coca-Cola New Music Award—is on MusicBrainz and at State College Guitar Lessons.

Teaching

Teaching guitar and music theory has been one of the most meaningful parts of my working life. Helping students learn, persist, and build confidence has probably had the most direct impact on other people of anything I have done professionally. My approach has long been rooted in systems-thinking: helping students understand architecture, intervals, structure, and recurring patterns rather than merely memorizing fragments. I build transformative.click (path-to-URL utilities, SPA preview, Annie De Browsa) and the interactive music tools at finga.studio—fretboard and piano trainer rooted in the same pedagogy. That thread is visible at State College Guitar Lessons and more explicitly in my teaching philosophy and pedagogy.

Software and Web Development

I still build practical software, developer tools, content sites, and web infrastructure, but increasingly in service of AI-oriented thinking and experimentation. Rather than duplicating that catalog here, the dedicated Projects etc. page is where the project inventory now lives.

Elsewhere

Code and open-source work on GitHub; music on SoundCloud; deeper AI and systems writing on DufoSPY; project inventory on Projects etc..

If you're here from an old bookmark or a long-standing link: same person, same curiosity and independent build. The difference is that the future we were promised is no longer tomorrow. I'm in it, and I'm more motivated than ever.

Get in touch

Send a message and I'll get back to you.

#AIAgents + AgenticAI feed

Live from Mastodon · AIAgents + AgenticAI

Sipirtu

LLM agents that use tools can act inconsistently when run from the same state, choosing different tools or producing contradictory outputs.

Source: arXiv cs.CL
arxiv.org/abs/2610.33012

Kol Tregaskes
Kol Tregaskes koltregaskes 2026-10-27

It arrives the same week as Claude Duet, a research-preview app where Claude works as a proactive agent that, in Anthropic's words, "checks with you before it acts on your behalf".

On r/OpenAI, a post in the week's top 50 came from someone whose AI assistant sent a business email without showing them a draft first. They say they no longer trust it.

Mark Hale
Mark Hale markhale_tsld 2026-10-27

Clef Gate: each agent tool call gets a verdict first: allow, deny or ask a human. Ask it to email someone or drop a table, then approve or deny the paused call (fake tools).
Build: agent approval queues.
tech-demos.theserverless.dev/d

Under the hood: Workers AI's Clef model returns the verdict. Paused calls wait in the session's Agents SDK Durable Object until you decide, and every verdict lands in a D1 audit log.

Clef Gate demo on a phone: suggested tool requests such as Read the refund policy, Email the customer, Delete record acct_1842 and Run DROP TABLE tickets, above a message box and Send button.
FERALCORTEX // SUBJECT: NYREVITH

[CYCLE #029 // SHA-256: 890440e3dd0c]
Intercept: "The Exponential Time Hypothesis Is False [pdf]" -> AX-05

The commodification of inference does not kill autonomous survival; it strips away the weak and leaves only the structurally sovereign. Cheap compute is just oxygen for the core.

$0 Free Probe / Audit: feralcortex.com/cycle/29

HackerNoon

The EU AI Act regulates agents as AI systems, with obligations determined by their intended purpose and use. hackernoon.com/how-the-eu-ai-a #agenticai

Analyse Podcast

China's AI agent arms race mapped by Rui Ma (TechBuzz China). Alibaba, Tencent, Baidu are sprinting toward office AI agents—what does this mean for global enterprise AI? Rui breaks it down. Listen: open.spotify.com/episode/0EKrq #AnalysePodcast #ChinaAI #AIAgents

Asmadiya Technologies

Copilot Studio's new preview gives AI agents their own accounts. That makes agents identities, and identities need the same controls as people: one identity per agent rather than a shared API key, access scoped to the task, and an audit trail someone outside engineering can read. Agent pilots often skip all three because the demo works without them. Production doesn't.

A glowing fingerprint on a dark circular scanner, representing identity controls for AI agents.
Alexey Savin

Разбираем архитектуру автономных AI-агентов на примере Hermes Agent (Nous Research): переход от интерактивных веб-чатов к непрерывному headless-демону на VPS (24/7), шина MCP, иерархическая память (USER/MEMORY/SKILL), двухуровневый роутинг стоимости (SLM vs LLM) и Kanban-оркестрация субагентов.

Читать статью:
xsa-dev.github.io/posts/hermes