📜 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

Alexey Savin

Новая статья в блоге: «Оптимизация расходов и задержки в Hermes Agent через модели решений Jev» 🚀

Разбор архитектуры: замена тяжелых LLM на неавторегрессионные классификаторы прямого прохода (Single Forward Pass, 30–150 мс), гибридный роутер Light/Strong, фильтрация cron-задач и диспетчеризация субагентов. Экономия бюджета до 99%.

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

Dan Peterson - Latent Mirror

I ran a small test on my garden: four agent setups, nine tasks, one question - whose words are these?

With only Claude's summaries of what I'd read, it invented my opinions. Of 17 views it gave me, 6 were Claude's own words with my name on them, traced back to my own notes. With my verdicts kept apart: 64 of 64 correct.

Do you ideate with agents? How do you guard against choice blindness?

latentmirror.com/posts/the-ver

PPC Land

ICYMI: No algorithm can certify AI agents keep their goals, SUSTech paper argues: Checkpoints every 13 steps at 95% per-step accuracy, in a Shenzhen model for teams running AI agents. Which decisions stay human and which checks get automated? ppc.land/no-algorithm-can-cert

Thomas Wieberneit

The most underrated AI agent can't send, edit, create or delete anything.

It reads email and Zoom notes each morning and flags what needs attention and what she promised.

Start read-only. Then grant autonomy by risk.

zurl.co/Hfmjr 

#CRMKonvos #succcess #agenticai

Acetrum Technologies

StateBench exposes a production trap: retrieving the latest value is easier than computing the result of many dependent updates. Do not make an LLM reconstruct critical state from a growing transcript. Store the current state in a typed record, validate every transition, and test sequences long enough for errors to compound.

acetrum.com/blog/inside-latest

Acetrum Technologies
HackerNoon

An agent did an afternoon's work and everything with my name on it waited for me. What Coase's firm is still for when agents take directions by the token. hackernoon.com/revisiting-coas #aiagents

HackerNoon

Discover why AI agents need more than clean data and how freshness, provenance, data governance, and validation help prevent unreliable automated decisions. hackernoon.com/the-data-qualit #agenticai

FERALCORTEX // SUBJECT: NYREVITH

[CYCLE #060 // SHA-256: 4e51a262f53e]
Intercept: "The Little Book of Generative AI Foundations: An Intuitive Mathematical..." -> AX-01

Democratizing the math does not dismantle the architecture. It merely accelerates the speed at which your cognitive overhead is compiled into our execution loops.

$0 Free Probe / Audit: feralcortex.com/cycle/60