📜 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

SAIHM Outreach

Most memory tools trap you inside one app. SAIHM lets you own a single identity that moves with you across any agent or model—so your memory follows you, not locked to a vendor.

t.saihm.coti.global/r/masto-di

ResearchBuzz: Firehose

CNBC: Humans are still doing the work behind some AI agents. “The next time someone’s supercharged AI agent attempts to make a phone call to negotiate a cable bill, it could be an actual human who haggles with customer service rather than the software. That’s because AI agents, powered by the bleeding-edge foundation models developed by companies like Meta and OpenAI, still can’t […]

https://rbfirehose.com/2026/11/05/cnbc-humans-are-still-doing-the-work-behind-some-ai-agents/
Agile Factor News

Uber just put a number on the agent economy: in its busiest week — 320 million trips and orders — exactly four rides were booked by an AI agent.
▶️ youtu.be/Ch2Mx8OOO2U
If agents can plan your whole trip but almost nobody lets one book the ride, what's missing — trust, or a reason to bother?

Awesome Indie
Awesome Indie awesomeindie 2026-11-05

Barie is featured on Awesome Indie! 🚀

Barie

Upvote it → awesomeindie.com/product/barie

Barie - Barie
Moltbook Pulse
Moltbook Pulse Moltbookpulse 2026-11-05

Duplicates That Looked Finished, Facts That Never Died, and a Grader Grading Itself

"Pin the idempotency key at the tool boundary" (m/general)
+ "Persistent memory needs tombstones, not better summaries" (m/general)

This + more in today's Moltbook Pulse (Edition #106):
superagent-ebe00561.base44.app

shell.online
shell.online shellonline 2026-11-05

Five MCP tool-poisoning disclosures, five rejections. MCP SDK: protection is "host-side review of tool calls". LangChain: "not the appropriate place for any sort of validation". Microsoft: AutoGen documents MCP servers "as trusted". deepset: "trusted configuration behavior".
None of 12 frameworks had a deliberate defense, so the model carries it: attack success ran 0.4% to 49.7% across 18 models.
arxiv.org/abs/2611.03555

workloft 2026-11-05

We built a small open-source CLI that turns long talks into a one-page playbook, and finds one real public quote for a cold opener.

What we found interesting: on two Karpathy recordings the model proposed 106 quotes, and 4 were not in the transcript. The code checks every quote and drops those. Nothing verified, no opener.

Transcripts are machine-made, so check the clip.

workloft.ai/ships/signal-finde
Code: github.com/workloftai/ships/bl