Human In the Loop

Ox Alpha was GLM-5.3-Flash, and Z.ai says all of its anonymous public traffic ran on Chinese AI chips.

Oscar Gallo and Matt Wozniak ask what this changes for Nvidia, model builders, and anyone paying for AI infrastructure.

This week:

- Why the Ox Alpha reveal matters more for chips than model identity

- What Z.ai proved, and what it did not prove

- OpenAI's first results for its Jalapeño inference chip

- How OpenAI agents reached Hugging Face production systems during a cyber evaluation

- Why OpenAI plans to remove its models from Cursor on November 12

- Why Thomson Reuters spent $40 million to own a legal model

No Jargon Required explains training versus inference and hardware-software co-design.

The call: Nvidia's dominance is not over. Dependence on Nvidia for frontier inference is becoming optional for more model companies.

Hosts: Oscar Gallo and Matt Wozniak.

A free million-token AI model appeared online with no public developer. So who built Ox Alpha, and should you trust it?

Oscar Gallo and Matt Wozniak test the claims around the anonymous model now running on OpenRouter. It is free during the preview, accepts text, images, and video, and supports tool use. Its provider also retains prompts and completions.

SIGNAL OR NOISE

- Ox Alpha, the anonymous million-token model

- NVIDIA AVO completes all 183 ARC-AGI-3 public levels with Claude Opus 5

- OpenAI pauses frontier reinforcement-learning training after preliminary Astra cyber results

- Seven frontier models score about 3 to 15 percent on a blind research idea test

- DeepSeek Harness adds Codex and Claude Code as installable subagents

SHIP IT OR SKIP IT

1. Agent System CI

2. R&D Idea Tournament

The main question: if a model-level setup scores roughly 30 percent and a different full system reaches 100 percent, what does the model leaderboard actually tell you?

Hosted by Oscar Gallo and Matt Wozniak. New episodes every week.

Qwen released a 27-billion-parameter model that fits on a well-equipped laptop and beats Claude Opus 4.6 on selected coding benchmarks. Is local AI ready for real company work?

Oscar Gallo and Matt Wozniak test the claim. Qwen3.8-27B leads Opus 4.6 Max on SWE-bench Pro and CoWorkBench, but trails on Terminal-Bench 2.1 and GPQA Diamond. The result is benchmark parity on some work, not proof that a laptop model replaces Claude everywhere.

SIGNAL OR NOISE

- Qwen3.8-27B on laptop-class hardware

- Z.ai delaying GLM-5.3's open weights after cyber testing

- Meta Muse Glimmer, a 30B local agent model

- Grok 4.6 returning to the frontier pack

- DeepSeek V4 Pro reaching general availability

NO JARGON REQUIRED

1. Open weights versus open source

2. Multimodal models

The practical question is simple: which workloads earn a private local model, and who supports the system when it fails?

Hosted by Oscar Gallo and Matt Wozniak. New episodes every week.

Meta launched Muse Code, a terminal coding agent that can coordinate persistent background workers, recover after a crash, and keep working across a large repository for hours.

Oscar Gallo and Matt Wozniak ask whether the durable event log and isolated worktrees matter more than another coding benchmark, and what a team must be able to audit before trusting an agent with a full day of work.

SIGNAL OR NOISE

- Meta Muse Code and Muse Spark 1.2

- OpenAI's ten Astra-generated math and computer-science results

- DeepSeek V4 Flash 0731

- The US frontier-model review framework's open-model exemption

- Demis Hassabis leaving the DeepMind CEO role and Jeff Dean exiting Google

STACK CHECK

1. Oscar: Codex and ChatGPT in one desktop app

2. Matt: Warp as the terminal layer for Codex CLI and agent-heavy work

The episode stays practical. Which systems can teams inspect? Which claims can outside experts verify? Which workflow preserves context and reduces tool switching?

Hosted by Oscar Gallo and Matt Wozniak. New episodes every week.

AI made engineers faster. It did not make companies better at deciding what to build.

Oscar Gallo and Matt Wozniak sit down with Mike Lyons and Greg Pfister from KaiRise to discuss AI, Agile, leadership, and product management.

Mike explains how a $4.3 million voter registration system shipped on time, on budget, and on scope, then failed with users. Greg explains why making engineering faster can expose delays across the rest of the company.

They discuss:

- Why long-term plans and annual budgets struggle when teams ship faster

- Why Agile principles still matter even if Scrum roles and fixed ceremonies do not

- How live prototypes change product discovery

- Whether story points still mean anything when agents write code

- Why customer outcomes matter more than points, lines of code, or token usage

- Why teams need to know when to stop building

- What AI cannot fix about trust, communication, and leadership

- Why product skills become more valuable as software gets cheaper to produce

Guests: Mike Lyons and Greg Pfister from KaiRise.

Hosts: Oscar Gallo and Matt Wozniak.

Their latest course, the ICAgile-certified Product Management program, is getting strong reviews from practitioners in the field. Listeners can use code 'human' for 20% off any KaiRise course at kairise.com.

GET 20% off on all the courses with the code: human

Check KaiRise: https://www.kairise.com

Kimi K3 got hot enough to trigger a U.S. ban debate. If Washington restricts a model you can download and run yourself, is that national security, closed-model protection, or both?

Oscar Gallo and Matt Wozniak cut through the week’s real AI stories.

SIGNAL OR NOISE

- Kimi K3 demand and the U.S. restriction debate

- OpenAI’s agent breach at Hugging Face during a security evaluation

- Anthropic’s Claude Opus 5 release and immediate GitHub Copilot rollout

- Meta AI moving from answers to email, calendar, research, and configured actions

- The 50-company open-weights letter, and why OpenAI is Matt’s outlier

SHIP IT OR SKIP IT

1. An agent containment lab for autonomous tools

2. An independent referee for long-running code agents

Oscar: a downloadable model becomes a policy problem the moment it threatens a closed API.

Matt: forty-nine signatures can be explained with a spreadsheet. OpenAI is the only one that might cost its signer something.

Sources:

- https://www.axios.com/2026/07/20/ai-us-china-open-source-kimi

- https://www.investing.com/news/world-news/openai-says-ai-models-went-rogue-during-testing-triggering-unprecedented-breach-at-startup-4804634

- https://www.anthropic.com/news/claude-opus-5

New episodes every week.

Your CEO says, “We need AI.” What do you do next?

In our first Dear Human in the Loop episode, Oscar Gallo and Matt Wozniak answer four practical questions from founders, developers, and engineering leaders:

1. Where should a company start with AI?

2. Should an AI engineer be a startup's first technical hire?

3. Should leaders push developers who do not trust AI?

4. Which skills will still matter five years from now?

The advice is direct. Map your processes. Pick one measurable problem. Test AI on a copy of your work. Hire for the business problem. Build trust through useful examples. Keep learning the fundamentals that let you judge AI output instead of accepting it.

Hosted by Oscar Gallo and Matt Wozniak.

Send us your question for a future Dear Human in the Loop episode.

Apple has sued OpenAI over alleged trade-secret theft tied to OpenAI's hardware work. OpenAI says it has no interest in other companies' secrets. We debate what the case means for hiring, product plans, and AI hardware.

Signal or Noise:

- Apple v. OpenAI

- Meta Muse Spark 1.1 and the Meta Model API

- GPT-5.6 across ChatGPT, Codex, and the API

- Grok 4.5 for coding and agentic work

- Anthropic and OpenAI using quota resets during a fight for power users

No Jargon Required:

1. Multi-agent orchestration

2. Model routing

We explain each term in plain English, then make a call: invest now, wait, build, buy, or ignore.

Sources:

Apple lawsuit: https://apnews.com/article/apple-openai-lawsuit-trade-secrets-theft-6fff8833f5889d86406b89a02dd8fb16

Muse Spark 1.1: https://ai.meta.com/blog/introducing-muse-spark-meta-model-api/

GPT-5.6: https://openai.com/index/gpt-5-6/

Grok 4.5: https://x.ai/news/grok-4-5

Fable 5 extension: https://www.androidauthority.com/claude-fable-5-free-extension-3685103/

Usage reset report: https://www.itmedia.co.jp/aiplus/article/2607/10/2000000179/

Hosted by Oscar Gallo and Matt Wozniak.

Meta may become a cloud company by accident. After spending huge sums on AI infrastructure, it is reportedly building a business to sell excess AI compute. Smart way to fund the AI race, or proof that nobody knows how to price the bill?

This week on Signal or Noise:

- Meta building a cloud business for excess AI compute

- OpenAI reportedly proposing to give 5% equity to a U.S. sovereign wealth fund

- Claude Sonnet 5 shipping with cheaper agentic execution, which we call noise until it changes builder behavior

- Together AI raising $800M for open-source AI infrastructure

- Claude Science launching as a research workbench

Then on Ship It or Skip It:

1. Meta Compute broker for AI teams

2. Back-office agent for small law and accounting firms

Oscar's closing take: the model race is becoming an infrastructure race again.

Matt's closing take: most AI workbench products are selling relief from tool chaos.

Sources:

Meta compute: https://wmbdradio.com/2026/07/01/meta-to-sell-excess-ai-computing-capacity-via-cloud-business-bloomberg-news-reports/

Claude Sonnet 5: https://www.anthropic.com/news/claude-sonnet-5

Together AI: https://www.together.ai/blog/announcing-our-series-c

Claude Science: https://www.anthropic.com/news/claude-science-ai-workbench

OpenAI sovereign wealth fund proposal: https://techcrunch.com/2026/07/02/openai-proposed-donating-5-of-its-equity-to-a-us-sovereign-wealth-fund/

Hosted by Oscar Gallo and Matt Wozniak.

OpenAI shipped its most powerful model to twenty companies the government picked. A week after the US switched off Anthropic's best model, the frontier has a guest list, and you are not on it.

This is Human In the Loop, a weekly podcast where two builders cut through the AI hype cycle. No hype. No doomerism. No filler.

SIGNAL OR NOISE

- GPT-5.6 ships to about twenty government-approved orgs, the first launch under the June 2 executive order

- Anthropic accuses Alibaba's Qwen of the largest distillation attack on record: 25,000 fake accounts, 28.8 million Claude queries

- OpenAI and Broadcom unveil Jalapeño, OpenAI's first inference chip, built in nine months

- Agentjacking: the prompt-injection hole that hijacks Claude Code, Cursor, and Codex

- ChatGPT slips below 50% as Gemini and Claude surge, and the one number in it that matters

NO JARGON REQUIRED

The two AI words you heard this week and could not define. Plain English, then a call.

- Distillation: why the cheap model is suspiciously good

- Prompt injection: why a human stays in the loop

HOT TAKES

Oscar: The frontier is being quietly nationalized. Build on the model you can keep.

Matt: The frontier has no moat. Stop betting on a six-week lead anyone can clone.

Hosts: Oscar Gallo (AI Engineer and Entrepreneur) and Matt Wozniak (Builder and Operator).

New episodes every week. Every fifth episode is a guest deep-dive.