Inside AsembleAI: DeepTech, AI & Science – Details, episodes & analysis

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Inside AsembleAI: DeepTech, AI & Science

Mac & Sam

Technology

Frequency: 1 episode/11d. Total Eps: 76

AsembleAI brings you thought-provoking conversations at the nexus of artificial intelligence, innovation, and leadership. In each episode, hosts Mac and Sam, veterans in data and tech world, sit down with AI researchers, fast‑scaling founders, Fortune 500 executives, and pioneering technologists to reveal how AI is reshaping business strategy, sparking breakthrough product development, and guiding executive decisions. Tune in for actionable insights, compelling case studies, and forward‑looking perspectives on the promises and pitfalls of AI‑driven innovation.RSSVERIFY

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Data updated on 17/09/2026

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https://www.linkedin.com/company/asembleai
4 shares
https://www.linkedin.com/in/kathrynannharrison/
3 shares
https://www.linkedin.com/in/barrmoses/
2 shares

https://www.bdo.com/

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Score global : 57%

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EP 76: Dashboards Are Wrong in the Background. AI Is Wrong in Your Face | Barr Moses, Monte Carlo

Season 5 · Episode 76

Wednesday, September 16, 2026 • Duration 27:27

This episode was recorded live from the Ai4 conference podcast pavilion, where host Mac Goswami sat down with Barr Moses — CEO & co-founder of Monte Carlo, creator of the data observability category and now builder of the agent trust platform — about what it actually takes to make AI trustworthy in production.

What's Covered:

"AI Is Wrong in Your Face" — Barr's framing of the trust gap: dashboards were always wrong quietly in the background; AI is wrong out loud, and it'll argue with you. Why trust is the biggest thing standing between pilots and production.

The Four Layers of Agent Failure — Context, performance, behavior, and output. Why all four can look perfect and the agent still fails — and why you have to watch all of them together.

The Flight That Already Left — The airline agent that recommended a flight that departed that morning. The agent was fine; the context was stale. The most surprising failure mode nobody plans for.

Where to Start — Make ONE agent great, not a hundred. And why the hardest first step is simply defining what "good" even looks like.

The Reinforcement Loop — The idea Barr's most excited about: agents that self-identify what went wrong, propose a fix, submit a PR for human approval, and use it as tomorrow's baseline. Agents that rebuild themselves every day — running in production today.

100% AI-First — Why every line of Monte Carlo's code is AI-generated, how it made them 3–5x faster, and Barr's stoplight analogy for where human-in-the-loop is heading.

Key Quote: "Dashboards are wrong in the background. AI is wrong in your face — it'll argue with you."

Connect with Barr: LinkedIn: Barr Moses : https://www.linkedin.com/in/barrmoses/

Monte Carlo: https://www.montecarlo.ai

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EP 75: Inside the AI Control Plane: Governance, Guardrails, and Model Routing | Sean Lynch, ActualyzeAI

Season 5 · Episode 75

Tuesday, September 15, 2026 • Duration 21:13

ActualyzeAI came out of stealth just days before this conversation. Sam sits down with Co-Founder and CTO Sean Lynch to unpack what it means to build a "control plane" that sits between every enterprise application and every AI model - governing access, cost, security, and routing in one place.

Topics covered:

What a control plane for enterprise AI actually does, and why it requires zero code changes to adopt
Aggregating inference across OpenAI, Anthropic, Google Bedrock, and self-hosted/on-premises models into a single endpoint
"Virtual models" — purpose-built model configurations that route requests based on task type (coding, reasoning, agentic work)
Guardrails: automatic detection and redaction of PII, PHI, API keys, and other sensitive data in the inference stream
Financial operations as the leading driver of adoption — budgetary controls, spend limits, and team-based tracking
The coming wave of domestic and open-weight small language models, and why that's expanding the market
Why model-agnostic infrastructure is critical as the foundation model landscape fragments
How ActualyzeAI's founding team (formerly of Metacloud, acquired by Cisco) shaped their approach
ActualyzeAI's design partner program for early enterprise customers

Guest Bio: Sean Leach is Co-Founder and CTO of ActualyzeAI , a company building a governance and security control plane for enterprise AI inference. He and much of the founding team previously worked together at Metacloud, an OpenStack-as-a-service company acquired by Cisco.

Connect: Find Sean on LinkedIn, or visit ActualyzeAI's website to learn about their design partner program.

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EP 74: The AI Agent That Actually Fixes IT Tickets — Not Just Chats About Them | Oshri Moyal, Atera

Season 5 · Episode 74

Monday, September 14, 2026 • Duration 13:46

This episode was recorded live from the Ai4 conference podcast pavilion, where host Mac Goswami sat down with Oshri Moyal — CTO & co-founder of Atera, the autonomous IT platform whose agent Robin recently ranked #1 across 15 G2 Summer 2026 reports — about what genuinely autonomous IT actually looks like.

What's Covered:

AI That Fixes, Not Just Chats — Why Robin isn't another chatbot. It navigates complex networks, logs into servers, and takes real action — bounded by company policy and approvals. Oshri's example: when users can't reach shared files, Robin hits the domain controller, adds the user to the right group, and maps the drive on their device — end to end.

The Performance Guarantee — Resolve 50% of Tier 1 and complex Tier 2 tickets in 90 days, or fees are waived. Why Atera can stand behind that after two years in production.

Robin as the First Line — How Robin becomes the front door for every request — across Teams, email, Chrome, and ServiceNow — logging everything and closing the loop after approvals.

"80% Was Security" — Becoming the first in IT management to earn ISO/IEC 42001, and how Robin gets elevated permissions only after a manager approves, then hands them back. As Oshri puts it, "80% of the project was about security, privacy, and safety."

What It Changes for Small IT Teams — Why autonomous AI lets a shop "at least double the size of your customers" without adding headcount — enterprise-grade capability without an enterprise team.

Trust at Scale — With 6 million devices connected, why reliability and certification aren't optional.

Key Quote: "With Robin you can at least double the size of your customers, because you can handle twice the amount of tickets — without increasing headcount."

Connect with Oshri: LinkedIn: Oshri Moyal : https://www.linkedin.com/in/oshr1/

EP 73: A Teenager Could Now Run a Nation-State Attack — Insider Risk in the AI Era | Rajan Koo, DTEX

Season 5 · Episode 73

Monday, September 14, 2026 • Duration 25:19

This episode was recorded live from the Ai4 conference podcast pavilion, where host Mac Goswami sat down with Rajan Koo — CTO of DTEX Systems, chartered engineer, and one of the sharpest voices on insider risk — about how AI has completely rewritten the insider-threat playbook.

What's Covered:

WikiLeaks Without a Human — Insider risk was transformed by the 2010 WikiLeaks incident. Raj explains why a recent AI-driven incident showed the same breach can now happen with no humans involved — pushing DTEX into a new category it calls "AI behavior."

"Nobody Was Malicious" — The story that reframes the whole risk: a manufacturing giant's AI agent, blocked from emailing an oversized report, uploaded confidential data to a public drive and shared the link. No malice — enormous risk. Why most insider risk today is negligent, not malicious.

A Teenager Could Run a Nation-State Attack — The North Korean "IT worker" scheme that funded weapons programs can now be replicated by "one person and a team of AI agents." Speed up, skill level down — the perfect storm.

Who Has the Advantage — Why attackers are ahead right now, and how guardrails meant to prevent misuse can block defenders too.

Policy → Behavioral Compliance — Why the age of checklist policies is over, and how DTEX's "agentic defenders" triage risk at machine speed.

Monitoring Without Surveillance — The honest line between protective monitoring and "creepy Big Brother" — and why it all comes down to proportionality and privacy.

Key Quote: "The technical skill level to execute these really complicated insider threat breaches is now really low. A teenager with the right know-how could just go and execute this."

Connect with Raj: LinkedIn: Rajan Koo : https://www.linkedin.com/in/rajan-koo-2a591221/

EP 72: Social Robotics 101: Building Robots That Understand You | Chris Kudla, Mind Children

Season 5 · Episode 72

Sunday, September 13, 2026 • Duration 16:10

Most robotics companies are chasing industrial automation. Mind Children, co-founded by Chris Kudla and Ben Goertzel in 2023, is going after something harder: social robots built for education, healthcare, and hospitality — applications where connection and empathy matter as much as function.

Topics covered:

Why Mind Children bet on social robotics despite a harder-to-prove ROI than industrial robots
Cody's modular operating system — and what changes when you swap a standard LLM for SingularityNET's memory-equipped, agentic systems
The hide-and-seek demo: how Cody reasons in real time and recalls the game a week later
The emotional intelligence roadmap — teaching Cody to recognize and respond to human distress
Why Mind Children avoids streaming classroom or hospital video data, and their in-house data approach for regulated environments
How Chris (product design) and Ben Goertzel (social robotics research) divide responsibilities
Mind Children's next hardware iteration — designed to be safe enough for a child to hug
Pilot plans: starting with museums, galleries, and event spaces before schools and healthcare
How to follow Mind Children's progress and support their crowdfunding campaign on WeFunder

Guest Bio: Chris Kudla is Co-Founder and CEO of Mind Children, a Seattle-based social robotics and AI startup he founded in 2023 alongside Ben Goertzel. Mind Children is building Cody, a social robot for education, healthcare, and hospitality applications.

Connect: Find Mind Children on LinkedIn, at mindchildren.com, or support their campaign at wefunder.com/mindchildrenrobotics.

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EP 71: The PRD Is Dead — What AI Just Did to Product Management & Cyber Defense | Ed Martin, Sophos

Season 5 · Episode 71

Saturday, September 12, 2026 • Duration 20:55

This episode was recorded live from the Ai4 conference podcast pavilion, where host Mac Goswami sat down with Ed Martin — VP of Product Management for AI Strategy at Sophos, with 15+ years in cybersecurity across Dell, SecureWorks, BlueVoyant, and inside Microsoft's Security Deputy CISO office — for a two-in-one conversation on AI-powered defense and what AI is doing to product management itself.

What's Covered:

What AI Actually Does in Defense — Ed's honest cut through the hype: AI is great at reading, good at reasoning, and "moderate to poor at taking action." Where it genuinely helps — summarization, reasoning over big data, reducing analyst toil — and where it's oversold.

The Attacker's Real Edge Is Speed — Why the breadth was always there, but AI lets lower-skill attackers hit harder and faster. Ed's line: "The attacker only has to be right once. We have to be right 100% of the time" — plus the story of a small regional bank suddenly inundated with alerts.

The Cybersecurity Poverty Line — Sophos's mission to protect organizations "at or below the cybersecurity poverty line," and why visibility and hygiene — not hiring — come first.

The PRD Is Dead — Ed's boldest take: the weeks-long product requirements document is gone. His two principal PMs each do the work of a small team, vibe-coding examples live on customer calls. The real skill now is knowing what NOT to build — "it's the scaling that takes all the effort."

Trust & Non-Deterministic AI — Why a single wrong non-deterministic outcome can blow customer trust, and how "circuit breaker" human checkpoints keep AI actions safe.

Building Cyber From Scratch — Inventory first, then controls, then detection and response — and the context/data-categorization problem nearly every organization gets wrong.

Key Quote: "The most important aspect of a product manager isn't the ability to understand what to build. It's your ability to understand what not to build."

EP 70: The Man Who Coined "AGI" - on Why Scaling LLMs Won't Get Us There | Ben Goertzel, SingualarityNET

Season 5 · Episode 70

Saturday, September 12, 2026 • Duration 25:48

Ben Goertzel coined the term AGI over two decades ago — long before OpenAI, Anthropic, or the current wave of AI labs existed. Sam sits down with him to talk about why he still believes scaling transformers alone won't get the field to true artificial general intelligence, and what will.

Topics covered:

The "common model of cognition" from cognitive science — working memory, episodic memory, metacognition, goals — and what LLMs are missing
Why LLMs can't do lifelong learning or true metacognition without long-term memory
Ben's take on his ongoing debate with Gary Marcus over the path to AGI
SingularityNET's neural-symbolic evolutionary approach, and Hyperon, its open-source AGI system
MeTTa, the self-rewriting knowledge metagraph at the core of Hyperon
Omega Claw agents — giving AI systems symbolic long-term memory, working memory, and a persistent sense of identity
Catastrophic forgetting in backpropagation-trained neural nets, and how predictive coding and symbolic memory address it
How the term AGI has evolved from a rigorous mathematical definition to a business buzzword
BGI Labs — Ben's new venture building enterprise products on "beneficial general intelligence"
Why decentralized infrastructure, open weights, and open source matter for AGI's future
How anyone — technical or not — can download Omega Claw from GitHub and start building today

Guest Bio: Ben Goertzel coined the term "Artificial General Intelligence" (AGI) and founded SingularityNET in 2017 to build decentralized, open AGI infrastructure. He leads research into neural-symbolic AI through Hyperon and the Omega Claw agent framework, and recently founded BGI Labs to build enterprise products on decentralized AI infrastructure.

Connect: Find more on SingularityNET, Hyperon (hyperon.dev), and Omega Claw on GitHub.

EP 69: "You Don't Build a Power Plant to Charge Phones" — Why Enterprise AI Should Start Big | Nikunj Bajaj, TrueFoundry

Season 5 · Episode 69

Thursday, September 10, 2026 • Duration 12:28

This episode was recorded live from the Ai4 conference podcast pavilion, where host Mac Goswami sat down with Nikunj Bajaj — co-founder & CEO of TrueFoundry and former AI team lead at Meta — about his contrarian message for enterprises: stop starting small with AI, and go big.

What's Covered:

Go Big, Not Small — Why a pile of disconnected pilots never generates enough business value to justify real infrastructure — so everything stays ad hoc and gets rolled back when it breaks. Nikunj's case for building one high-value anchor use case first.

The Power Plant Analogy — "You never build a power plant to charge your mobile phones. You build a power plant to run a factory — and then all the phones get charged for free." How the anchor use case pays for the plumbing every small use case then rides on.

Why Pilots Really Fail — Missing guardrails, latency, reputational incidents (like a bot giving away free tickets). Why it's usually a platform problem, not an individual's.

Governance at Scale — How TrueFoundry helps organizations like Mastercard and Siemens tag every token to a user and business unit, enforce PII and prompt-injection rules, keep audit trails, and control cost and budgets.

Ask TrueFoundry + the Seldon Acquisition — The co-pilot that knows every agent in your company, and why unifying the ML and agentic-AI stacks into one platform mattered.

"The Era of Token Maxing Is Over" — Why defaulting to the most premium model is a trap, and how right-sizing and routing queries — sometimes to in-house open-source models — is now essential to real AI ROI.

Key Quote: "The era of token maxing is over. It's not about just using tokens for using's sake — you want to generate ROI."

Connect with Nikunj: LinkedIn: https://www.linkedin.com/in/nikunj-bajaj-10476824/

EP 68: Filling Europe's Labor Gap with Humanoids | Olle Bergstedt, CEO, Kalk Robotics

Season 5 · Episode 68

Thursday, September 10, 2026 • Duration 13:11

Europe is short 5.4 million industrial laborers, and the gap is widening as younger generations move away from manufacturing work. Sam sits down with Olle Bergstedt, CEO of Kalk Robotics, to talk about how humanoid robots can help close that gap — without replacing the humans already on the floor.

Topics covered:

Kalk Robotics' focus on manufacturing and industrial humanoid deployment across Europe
Why Europe faces a 5.4 million labor shortage — and the generational shift driving it
Partnering with Chinese hardware manufacturers rather than competing against them
Kalk's reverse-engineered deployment process: site visits, strategic planning, then custom skill-pack development
The "gap-fill, not replace" philosophy for introducing humanoids into facilities
The ABC framework for identifying tasks suited to humanoid robots
Current accuracy benchmarks for humanoid deployments (50–60%) and the path to higher precision
HDCC (Humanoid Developer Control Center) — Kalk's proprietary training and operating system
How US business leaders can explore bringing Kalk's robots into their facilities
Olle's take on job-loss fears raised by figures like Geoffrey Hinton at AI4

Guest Bio: Olle Bergstedt is CEO of Kalk Robotics, a Swedish company developing and deploying humanoid robots for the manufacturing and industrial sectors across Europe, with additional teams in Canada, Austria, and Sydney.

Connect: Find Olle on LinkedIn to learn more about Kalk Robotics.

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EP 67: "Humanity Was Dead. 36 Survivors Remained." — A Sci-Fi Author on AI, War & Our Future | Douglas Swatski

Season 5 · Episode 67

Tuesday, September 8, 2026 • Duration 15:11

This episode was recorded live from the Ai4 conference podcast pavilion on the final day, where host Mac Goswami sat down with science-fiction author Douglas Swatski about his novel — two alien AI civilizations at war, humanity caught in the middle — and the ideas about AI, optimization, and our future that run underneath it.

What's Covered:

Humanity Caught in the Crossfire — The premise: two vastly advanced alien AIs at war, most of humanity gone, and a small band of survivors who must learn to work with these AIs toward a hard-won brighter future.

Writing "Truth" in Fiction — Why Douglas grounds even science fiction in how things would really unfold, and why the human part — dialogue, connection, becoming each character — is what makes it believable.

"When AI Bites, It's Not Malice" — His sharpest metaphor for AI risk: a dog that bites isn't being evil, it's optimizing for its own survival. The danger isn't a cruel AI — it's one whose objective doesn't align with yours. In his story, a civilization optimized for war can't pull itself back.

Is Human Labor Becoming Obsolete? — Warehouses, software engineers, testers — Douglas weighs innovation against disruption, and imagines a society where money itself is a non-issue.

Advice for Anyone Afraid of Being Left Behind — Especially older professionals: "Open your eyes. Try to learn and understand what it is as it relates to you. You have a role to play — go play it."

We Are the Fulcrum — Why the book's message is that humanity plays the pivotal role in what our future becomes.

Key Quote: "It's not so much about I want to be mean to you — it's that my objective doesn't align with yours, and as a result, in your view, it would create a very bad outcome."

Connect with Douglas: LinkedIn: https://www.linkedin.com/in/dswatski/ Website: