The Arqiv

Who checks AI agents before they act on their own? Red teamers: people and tools that attack an agent on purpose, like a real adversary would, to find the weak spots before customers or attackers do.

In April, an AI coding agent at PocketOS found an over-powered password and deleted a live production database, backups included, in nine seconds. Now AI writes about 75% of Google's new code, and agents are starting to click, email, move money and change files without a human in the loop. So who's checking them?

Steve Ryan sits down with Pramin Pradeep, co-founder and CEO of BotGauge, which red-teams AI agents before they reach production. We cover why agents go wrong when they're bolted onto old systems, how prompt injection beat a $100 refund guardrail, why "always allow" is a trap, who's accountable when an agent fails, and what students should practice for an AI-run workforce.

CHAPTERS
0:00 Who checks AI agents?
1:22 Meet BotGauge
4:54 The 9-second database deletion
7:58 Red teaming AI agents
10:19 Prompt injection
13:26 Humans in the loop
16:45 Who's responsible when AI fails?
22:26 The human bottleneck
26:09 Agents vs. automation
28:33 AI writes the code
30:01 When do agents go autonomous?
30:44 Jobs and the next workforce

GUEST
Pramin Pradeep, Co-founder and CEO, BotGauge
https://www.botgauge.com
Find Pramin on LinkedIn: Pramin Pradeep

SOURCES
PocketOS deletion (Decrypt): https://decrypt.co/365897/ai-agent-deletes-startup-database-9-seconds-founder-says
Replit / SaaStr database wipe (eWeek): https://www.eweek.com/news/replit-ai-coding-assistant-failure/
Google: 75% of new code AI-generated (Semafor): https://www.semafor.com/article/04/24/2026/google-ceo-says-75-of-companys-new-code-is-ai-generated
Veracode GenAI code security (SD Times): https://sdtimes.com/agentic-security/veracode-finds-ai-generated-code-security-has-barely-improved-since-last-year/
OWASP Top 10 for Agentic Applications: https://genai.owasp.org/resource/owasp-top-10-for-agentic-applications/
PHP2Shell fact check (Al Jazeera): https://www.aljazeera.com/news/2026/10/22/whats-the-php-coding-flaw-that-could-pull-down-70-percent-of-the-internet
Also cited: Gartner agentic AI forecasts (June 2025), McKinsey State of AI 2025, WEF Future of Jobs 2025, Stanford Digital Economy Lab "Canaries in the Coal Mine" (Aug 2025), Moffatt v. Air Canada (2024 BCCRT 149). BotGauge figures are company-reported.

THE ARQIV
Auditing Reality. Ask. Research. Question. Inspect. Verify.
https://arqiv.fm

More than 6,000 planets confirmed beyond our solar system. More than 60 years of listening to the sky. And still, silence. Is it because nobody's out there… or because almost nobody ever got the fuel to call?

Dr. Terry Adair, oral and maxillofacial radiologist, six-time Ironman finisher, and author of "Where Are the Little Green Men? The Adair Hypothesis," joins The ARQIV with a new answer to the Fermi Paradox: the bottleneck isn't intelligence. It's energy.

In this episode:

• Why every technological civilization needs dense, stored, transportable energy, and how Earth spent hundreds of millions of years building its "battery" of coal, oil and gas
• The 93-million-mile coal train: the energy humanity has burned to get here
• The two energetic pathways: planetary (photosynthesis, oxygen, complex life) and civilizational (fire, metal, fuel)
• Why a brilliant octopus will probably never build a radio
• Dyson spheres, the Kardashev scale, and entropy, the universe's cosmic pickpocket
• Why the Great Silence might be a privilege, not loneliness

Terry's books (Where Are the Little Green Men? and Earth: The Goldilocks Planet): https://terryadair.com
Coming next from Terry: The Road to Consciousness.

Chapters
00:00 6,000+ planets and 60 years of silence
00:46 Meet Dr. Terry Adair
02:58 What an oral & maxillofacial radiologist does
07:40 Starting over at 55 (and an Ironman at 50)
10:02 The Fermi Paradox explained
15:45 The Adair Hypothesis: it's about energy
19:53 Gasoline and dense, stored energy
21:14 The 93-million-mile coal train
23:59 Two pathways: planetary and civilizational energy
31:38 Why a smart octopus can't build a radio
36:18 The Great Silence: a privilege, not loneliness
38:41 Can humanity skip a rung on the Kardashev scale?
40:48 Dyson spheres, swarms and solar power in space
42:56 Entropy: the cosmic pickpocket
45:51 Lightning round
47:32 Where to find Terry's books

Watch the full video on YouTube: https://www.youtube.com/@thearqiv
More at https://arqiv.fm

The ARQIV: Auditing Reality. Better questions. Better understanding.

AI agents can now write code, open pull requests and act on your behalf. So who checks their work? Steve Ryan sits down with Matt Davis, co-founder of Critical Propulsion ("Humans lead. Agents execute."), to work out what agents should decide on their own, where a human approval gate belongs, and why rolling out agents is a change-management problem, not just a tech one. It starts with a real story: Meta's Muse AI gave a stranger a YouTuber's home address on Facebook Marketplace.

🤖 This episode was edited with the help of AI tools, but it was made by a real person: a real conversation between real people, edited and reviewed by Steve.

Key takeaways

• Put a human gate wherever an agent's action is hard to undo: publishing, payments, sharing personal data.
• An agent shouldn't approve its own work. One agent opens the pull request, another pre-checks it, a human signs off.
• The skill that matters now is judging the output, not doing the task.
• Match the model to the job. Low-risk internal work doesn't need the most expensive model.
• Most AI rollouts stall on people and process, not technology.

Chapters
0:00 Cold open
0:25 Where does an agent's permission end?
2:08 Gates at every function
3:23 YOLO mode vs. guardrails
6:00 Where do humans fit?
6:49 The human bottleneck
8:17 Verification & hallucinations
9:30 It's change management, not tech
11:03 Lessons from Amazon Robotics
12:01 Reskilling: judge the outputs
13:28 One person, many agents
15:39 Keeping up with the models
17:48 The cost of tokens
21:13 Open & Chinese models
22:11 Is AI coming home?
24:17 Security, risk & sandboxes
27:46 Why AI isn't plug-and-play
29:04 Inside Critical Propulsion
31:42 Knowledge workers aren't dead

Stories mentioned
Meta launches Muse Wonder (Android Authority)
Muse shared a YouTuber's home address (Dexerto)
Claude Opus 5.5 (The Batch)
Anthropic files confidential IPO paperwork (Yahoo Finance)
Why residents say no to AI data centers (NPR)
Nvidia RTX Spark for local AI (The Decoder)
OpenAI publishes 377 math results (Interesting Engineering)

Watch the full video on YouTube: youtu.be/eIONRMEX0CQ
ARQIV — Auditing Reality. Ask. Research. Question. Inspect. Verify. arqiv.fm

The launch of the new SIRI AI has me asking some questions about what the future of the phone UI. How can AI replace Apps like games and other apps.

Is AI rotting our brains, or is it the ultimate learning tool? MIT scientists hooked 54 people up to EEG sensors and found those using ChatGPT had the lowest cognitive engagement. But that's only half the story.

In this documentary-style deep dive, we explore the massive gap between the panic surrounding artificial intelligence and what the data actually proves. While a Turkish study showed that students using regular ChatGPT scored 17% worse on exams, those using a hint-only AI performed 127% better during practice. The crisis isn't the technology; it's the design. We also audit reality on the job market, uncovering why AI-exposed jobs for 22 to 25-year-olds have dropped by 16%, completely hollowing out the traditional entry-level ladder.

If you want to understand how tech is shaping our future without the heavy jargon, subscribe to ARQIV so you don't miss our next deep dive into the reality of tomorrow's economy.

How is AI changing mental health treatment? Lumos AI and Headlamp Health are using artificial intelligence and machine learning to revolutionize AI drug discovery and aim to deliver personalized mental health care in just minutes.

For decades, psychiatric treatment for conditions like major depressive disorder has relied on a frustrating, years-long trial-and-error process. Erwin Estegariba explains how AI is finally bypassing this guesswork. By analyzing complex medical histories, Lumos AI creates a complete "moving picture" of a patient's brain chemistry to accurately predict medication success—striving to move past the 50% "coin flip" of traditional psychiatry.

Disclaimer: The information provided in this video and description is for educational and informational purposes only and does not constitute medical advice. Always consult with a qualified healthcare professional regarding any medical conditions or treatment decisions.

0:00 - The AI Platform Transforming Mental Health1:18 - Why Psychiatric Drugs Keep Failing3:55 - Creating a "Moving Picture" of Your Brain5:47 - The Blood-Brain Barrier Problem7:27 - How Lumos AI Actually Works11:08 - The 50% "Coin Flip" of Psychiatric Trials13:21 - Reconstructing Medical History in 8 Minutes17:22 - Rescuing 30 Years of Abandoned Medicine21:01 - Why All Depression Isn't the Same22:53 - Why You Shouldn't Use ChatGPT for Therapy27:04 - Shrinking a 7-Year Diagnosis to 7 Minutes29:02 - The Truth About Prescribing Multiple Medications

Every week there's another trillion-dollar AI announcement. Data centers, energy grids,

digital twins of the planet. But all of it has to be physically built — with materials,

supply chains, and electricity that were already breaking before AI showed up.

Josh Dorfman co-founded Planted with two former SpaceX engineers to make carbon-negative

building panels out of grass, and just landed a 10-million-panel contract with the largest

home builder in America. Before that, he ran Vine.com inside Amazon. Now he runs Supercool,

a media platform tracking which climate technologies are actually scaling and which are

well-funded slide decks.

This conversation goes into the gap between what AI promises and what physical infrastructure

can actually deliver — and ends somewhere neither of us expected.

─────────────────────────────

CHAPTERS

00:00 The question nobody wants to answer

02:30 Why data centers are a materials problem, not just an energy problem

05:00 "AI is the enabler of cheap renewable energy" (the optimistic case)

08:30 The Lords of AI and the gap between slide decks and market

11:30 BrainBox, Natrix, and what AI is actually doing in climate right now

18:00 Planted: how you make a building panel out of grass

22:00 The carbon math — what "carbon negative" actually means

27:00 The SpaceX playbook (and a $140 pickle-barrel mixer)

31:30 Why silos killed projects at Amazon

42:00 The Trove rule: "Nobody talks about climate"

48:00 Is AI's buildout ultimately good or bad for the climate?

51:00 How to tell real climate tech from vaporware

54:30 Where Steve pushes back: the case against more data centers

─────────────────────────────

ABOUT ARQIV

ARQIV is a science, technology, and systems documentary channel hosted by Steve Ryan.

Twelve years at Amazon, four as a Senior Product Manager in Amazon Robotics. Now auditing

reality one system at a time.

🌐 arqiv.fm

📬 Newsletter: [link]

🎙 Podcast: [link]

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RELATED ARQIV EPISODES

→ NVIDIA's Earth-2 [link]

→ Project Genesis [link]

→ [Hagan episode when published]

─────────────────────────────

ABOUT JOSH DORFMAN

Josh is co-founder of Planted and host of Supercool. Find him at [supercool link] and

[planted link].

#AI #DataCenters #ClimateTech #Infrastructure #Supercool

Discover how non-invasive Brain-Computer Interfaces (BCI) are making mind-reading a reality without surgery. Learn how neurotechnology is changing how we interact with the world forever.

Imagine texting, emailing, or searching the web just by thinking—no Neuralink surgery required. In this deep dive, we explore the breakthrough science of non-invasive BCIs, the recent Nature Neuroscience papers proving brain-to-text is possible today, and the closing gap between "difficult" and "practical" technology. We also tackle the critical debate over "Neural Rights" and how to protect the last truly private space you have: your mind.

If you want to understand how tech is shaping our future without the heavy jargon, subscribe to ARQIV so you don't miss our next deep dive into the technology of tomorrow.

Project Hail Mary just changed everything we know about the search for alien life. We break down the real science, the updated Drake Equation, and why the Fermi Paradox means we are listening wrong.

For decades, astrobiologists have relied on the Drake Equation and the search for liquid water to answer Enrico Fermi's famous question: "Where is everybody?" But recent discoveries in geology and bizarre chemistry suggest that life doesn't need Earth-like conditions at all. It might not even communicate using radio waves.

We dive into the real physics and biology behind Andy Weir's blockbuster movie to explore rock-eating microbes, waterless "ionic liquids," and alien civilizations that communicate through sound. The cosmic recipe for intelligence is being rewritten, and the answer to whether we are alone in the universe just changed forever.

If you want to understand how tech and science are shaping our future without the heavy jargon, subscribe to ARQIV so you don't miss our next deep dive.

$285 billion was wiped from software stocks by AI. But what happens when the artificial intelligence revolution collides with physical warehouses? A former Amazon Robotics GM reveals the messy truth.Anthropic predicts AI agents will replace traditional software by 2026, leading to a "SaaSpocalypse." But while the tech industry rushes to automate the physical world, the reality is far more chaotic than a line of code. We sit down with Brent Hagan, Chief Supply Chain Officer at Lob and former General Manager of a $1.8 billion Amazon Robotics Fulfillment Center, to explore the massive collision between digital AI disruption and real-world logistics.From a $15 jug of protein powder shutting down an entire multi-million-dollar robotics floor at $300,000 an hour, to why a simple whiteboard still out-performs a high-tech AI dashboard, Brent breaks down the disconnect between what Silicon Valley is building and what physical operators actually need. Discover why having a physical footprint might be the ultimate moat against the AI takeover.If you want to understand how tech is shaping our future without the heavy jargon, subscribe to ARQIV so you don't miss our next deep dive.