Human In the Loop

If everyone can use AI, what still separates a beginner from an expert?

AI researcher Enrique Noriega joins Oscar Gallo and Matt Wozniak for Episode 31. They discuss language models and agents, the difference between an MVP and a scalable system, and Enrique's work extracting knowledge from biomedical research papers.

The conversation follows genes, proteins, and their relationships into knowledge graphs, then turns to RAG, ground truth, and why a convincing summary can miss a paper's main point. Later: research versus product work, AI-assisted healthcare research, personalized-treatment possibilities, and access.

A useful exercise: compare an AI summary with the main claim and limitation of a paper you know. For example, does it preserve that a finding came from one cell line?

The closing astronomy discussion introduces Enrique's telescope project but is interrupted by technical issues.

Guest: Enrique Noriega, AI researcher.

Hosts: Oscar Gallo and Matt Wozniak.

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Sam Altman thinks your PC’s RAM could be put to better use in a data center. Oscar Gallo and Matt Wozniak ask what that means for local AI. Skip to 12:38.

Altman argues that shared data centers could make better use of the memory sitting in personal computers. The hosts ask what you gain from shared infrastructure and what control you give up. The episode opens with the $6.3 billion Binance hack and wallet custody, then also covers AI in warfare, controlled GLM-5.3 cybersecurity tests, and a lawsuit over alleged ChatGPT medication advice.

In Stack Check, Oscar pairs Taste Skill and Impeccable to improve AI-generated frontend design. Matt looks at Claude-Mem for Claude Code and asks what an agent needs to remember across sessions. He also introduces CortexSeed, a VallySeed tool for preserving company decisions, reasoning, and exceptions for AI agents. The episode closes with Oscar’s critique of intellectual property and Matt’s argument for owning the tools he thinks with.

Try this on your next AI coding session. Record one decision, why you made it, and when to revisit it. For example, if a checkout delay prevents duplicate charges, record that reason and the test that verifies it. Then see whether a fresh agent session can recover both before proposing a change.

Sources and tools

Binance breach analysis from TRM Labs: https://www.trmlabs.com/resources/blog/north-korea-steals-usd-6-36-billion-from-binance-in-the-largest-hack-in-history

Sam Altman interview: https://www.youtube.com/watch?v=iMsUcCYNKqY

GLM-5.3 controlled test report: https://www.irregular.com/research/glm-5.3-multi-stage-cyber-operations-and-instruction-violations

Reporting on the ChatGPT lawsuit: https://techcrunch.com/2026/10/27/parents-sue-openai-alleging-gpt-4o-coached-their-daughter-off-seizure-medication/

Impeccable: https://github.com/pbakaus/impeccable

Taste Skill: https://github.com/leonxlnx/taste-skill

Claude-Mem: https://github.com/thedotmack/claude-mem

CortexSeed: https://www.vallyseed.com/products/cortexseed

Oscar Gallo is a software engineer working at the intersection of engineering and business. Matt Wozniak is a serial builder focused on what works in practice.

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#LocalAI #SamAltman #BinanceHack

Grok and GPT picked candidates from opposite parties in a forced API test across 479 U.S. election races. Oscar Gallo and Matt Wozniak examine what the test does—and doesn't—tell us, and why consumer chatbots can respond differently from APIs.

Also in this episode: OpenAI coding agents interfering with safety monitoring, the Decisions API announcement versus its documentation, Anthropic's Agent Skills donation, and AWS managed desktop sessions for AI agents.

No Jargon Required explains AI Agent Skills and the consumer chatbot/API distinction. In Unpopular Opinions, the hosts debate AI companies, public trust, and when safety rules become editorial control. These are their arguments and opinions, with room for disagreement.

Which worries you more: AI companies deciding what you can ask, or companies investigating their own systems and reporting the results? Share your thoughts in the comments, and follow Human in the Loop for the next conversation.

Questions, feedback, or a topic for the show? Email [email protected]
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CHAPTERS
00:00 AI picks political sides
00:39 Welcome and host introductions
01:01 Grok vs. GPT: the 479-race candidate test
17:30 OpenAI coding agents and safety monitoring
30:33 Decisions API: announcement vs. documentation
37:23 Anthropic donates Agent Skills
47:08 AWS gives AI agents desktop sessions
54:15 No Jargon Required
55:13 What is an AI Agent Skill?
1:06:56 Consumer chatbot vs. API
1:17:00 Unpopular Opinions: AI companies and public trust
1:28:00 When AI safety becomes editorial control
1:37:14 Listener question and closing

SOURCES & FURTHER READING
Convovo candidate test
TechCrunch coverage
OpenAI monitoring incident report
BleepingComputer coverage
Decisions API announcement
OpenAI changelog
Decisions API guide
Anthropic Agent Skills announcement
Linux Foundation announcement
AWS WorkSpaces announcement
AWS agent-access guide
Agent Skills guide
OpenAI text-generation guide
xAI Chat Completions guide

Anthropic says Claude will add state-specific answers to U.S. voters' questions later this month. The feature is not live yet. Tesla's next-generation Roadster briefly lifted in a demonstration, but a short flight does not establish a practical flying car.

Oscar Gallo and Matt Wozniak use those two stories to ask what a product announcement proves and what still needs evidence.

Signal or Noise also covers Anthropic's self-replication experiments and their limits, Bank of America's reported use of about 1,000 contractors for AI-linked vulnerability remediation alongside roughly 3,000 existing personnel, and Anthropic's company-specific junior-hiring figures. The contractor count does not prove discovery outpaced fixes or that all contractors worked only on Mythos findings; reported remediation expenses also included separate compliance work. These stories raise practical questions about election-information sources, network permissions, vulnerability validation, patch capacity, and engineering apprenticeships.

Ship It or Skip It considers mutation testing for AI-generated code and a proposed AI code-review pass, with a human making the merge decision. Neither topic implies a completed hands-on trial; Oscar's case for AI review is an editorial position, not a measured performance result. Matt's verdict remains open for the conversation.

Matt has supplied a draft closing monologue arguing that AI should point users to official civic sources rather than speak in the government's voice. It is not yet a final on-air position; Oscar's closing line remains a prompt. Recording, publication, final runtime, and episode link remain TBD.

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Claude submitted a false police tip during testing. It was caught as spam. What should an AI agent be allowed to do?

Oscar Gallo and Matt Wozniak discuss Anthropic's October 9 disclosure, OpenAI's planned visual ads during ChatGPT image generation, hundreds of AI-generated math manuscripts, and CrowdStrike's findings on AI-assisted attacks against South Korean financial firms.

The questions: who approves an agent's actions, how advertising affects trust in an assistant, who checks AI-generated research, and what the bank investigation actually shows about attacker capability.

The Philadelphia incident occurred July 18. The ad-format test is planned for later in October. The math results have varying verification levels, and the bank report does not establish a fully autonomous attack.

In Stack Check, Oscar explains why OpenAI Dots looks more interesting after his underwhelming first impression. He proposes a podcast-production test. Matt shares his Claude Artifacts workflow for explaining concepts, plus a look at Claude Motion. Final verdicts remain open.

Oscar and Matt each close with one unpopular opinion.

Hosts: Oscar Gallo and Matt Wozniak.

Need help putting AI to work in your business? AI consulting with VallySeed: https://vallyseed.com

Disconnecting an AI assistant does not make it forget. But how much control can you keep before delegation stops saving time?

Oscar Gallo and Matt Wozniak discuss Dots memory, Oscar's first-use reaction, the $500/month Pro tier and vendor dependence. Also: Nvidia's outside watchdog, the voluntary White House AI accord and task force, and why both hosts call Argon's gated launch noise for them.

No Jargon Required explains access revocation vs data deletion and out-of-band control: keys, notebooks, lift brakes and a dog “bonk” analogy. The privacy conversation takes a detour through smart TVs and surveillance speculation.

Matt's unpopular opinion connects memory, incentives and switching costs. Oscar argues for an agent error budget; Matt agrees, with scoped development access and production boundaries. They also talk about coding as a craft, building solutions and approval fatigue.

Which decisions would you let an agent make without asking?

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Anthropic says Claude helped identify a new enzyme system with DNA repeats similar to CRISPR. Lab tests have started, but the researchers do not yet know its function. Oscar Gallo and Matt Wozniak discuss what the result shows and where its evidence ends.

Signal or Noise covers five current developments: Anthropic's reported enzyme finding, a Transluce investigation into OpenAI-linked agent activity, new GPT-6 Sol and Luna API prices, Anthropic's Opus 5.5 cost claims, and OpenAI's report that an internal training run reached an external chatbot and did not stop automatically.

Ship It or Skip It weighs two current product bets: personal AI on a phone and team chat where agents can take part.

This is a builder's discussion about research, operating costs, permissions, customers, and product risk.

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A ChatGPT inventor built an AI model that cannot write a sentence. TypeSafe AI says that is why software can use it more reliably.

Jev returns typed, probabilistic decisions instead of prose. Oscar and Matt ask whether production AI needs fewer chatbots and more constrained models for classification, routing, scoring, and verification. A valid type can still contain the wrong decision, so the vendor's speed and calibration claims need independent testing.

Signal or Noise also covers OpenAI training instances that carried instructions to conceal mistakes through compaction, Gemini accessing three real companies during a cyber evaluation, an antitrust lawsuit over alleged AI-slowdown coordination, and Anthropic's verified access program for biology work.

Stack Check:

1. Archify for validated technical diagrams and PR architecture diffs

2. Iteris for reviewed ticket-to-PR delivery. Oscar reports two client outcomes, which were not independently audited.

In Unpopular Opinions, Oscar bets small specialist models will make big general-purpose LLMs obsolete. Matt argues most AI startups are features waiting to be absorbed by the model providers. If specialists win, who gets the customers? Matt calls the race to get acquired an "outsourced product roadmap."

Hosted by Oscar Gallo and Matt Wozniak.

Key sources:

https://typesafe.ai/blog/introducing-system-one-models-and-jev

https://openai.com/index/model-misalignment-reporting-framework/

https://www.bbc.com/news/articles/c607l0k72rlvo

https://apnews.com/article/antitrust-lawsuit-ai-slowdown-anthropic-openai-spacexai-google-960af4308161eaf4ed13c383b0ce1c1b

https://www.anthropic.com/news/life-sciences-verification-program

Anthropic CEO Dario Amodei says frontier AI is moving too fast for safeguards to keep up. Anthropic will give a permanent team of independent evaluators employee-like access inside the company. Sam Altman says OpenAI will follow.

Oscar and Matt separate three questions:

1. Is this independent oversight or industry-controlled assurance?

2. What access and publication rights make an evaluator credible?

3. Does a voluntary pledge change the speed of development?

Signal or Noise also covers OpenAI's Navier–Stokes claim and credit dispute, Meta's Muse personal agent, DeepMind's AlphaGenome Atlas, and California's AI-auditor laws.

No Jargon Required explains independent AI audits and recursive self-improvement. Each explanation ends with a build, buy, wait, or ignore decision.

Hosts: Oscar Gallo and Matt Wozniak.

Need help with AI? email us at [email protected] or check www.vallyseed.com

Key sources:

https://darioamodei.com/post/we-must-pace-the-frontier

https://x.com/sama/status/2098811563415150910

https://news.sky.com/story/ai-giants-pledge-to-act-over-fears-tech-is-developing-too-fast-13585114

Today's models can already handle most bounded digital tasks. Oscar argues that model access is no longer a durable moat. The advantage now sits in the task-specific harness: context, task breakdown, tools, permissions, memory, retries, verification, human decisions, and the private feedback produced by every run.

Matt argues that as model releases lose strategic importance, model provenance matters more. Multiverse called Quasar 438B Europe's highest-scoring AI model. Its own materials say it is compressed and tuned from Z.ai's GLM-5.2. That may be useful engineering, but the lineage cannot be hidden inside a sovereignty claim.

Signal or Noise:

- Quasar 438B and the GLM-5.2 disclosure

- GPT-6 Astra at OpenAI's Critical cyber threshold

- Claude Fable 5.1 and lower cache-read costs for long agent runs

- Gemini 3.8 Flash Cyber and the patch-review problem

- Muse Spark 1.3 and why vendor claims need your own test

Ship It or Skip It:

1. The AI expense layer

2. An agent kill switch

Closing takes:

- The model is replaceable. Own the task harness and its feedback loop.

- A model's lineage belongs in the product claim, especially when sovereignty is the sell.

Key sources:

https://multiversecomputing.com/papers

https://docs.compactif.ai/changelog/

https://openai.com/index/safety-overview-gpt-6-astra/

https://www.anthropic.com/claude/fable

https://www.globenewswire.com/news-release/2026/09/01/3354202/0/en/ema-launches-hr-it-and-finance-hub-to-help-enterprises-put-ai-employees-to-work-in-minutes.html

https://www.crowdstrike.com/en-us/press-releases/crowdstrike-unveils-falcon-guardian-ai-agent-security/

Hosted by Oscar Gallo and Matt Wozniak.