
Hosted by Aamir Qutub
The Dumb Monkey Show is your unapologetically candid AI-in-business podcast for leaders who want results, not hype. Hosted by Aamir Qutub - CEO, AI strategist, and bestselling author - and Davina Montgomery - communications pro at Deakin’s Applied AI Institute - this show cuts through the jargon to bring you real…
27 episodes · publishes weekly · latest 2026-06-30 · ~39 min/episode
Rank
#4989
Substance
48.0
/ 100
Breakdown
Scored 2026-07
Updated monthly
Across the index
#4989 of 6183
Substance
Top 81%
outscores 19% of the index
The Dumb Monkey Show ranks #4989 on The B2B Podcast Index with a substance score of 48.0 out of 100, scored across 1 recent episode. It scores highest on specificity & evidence and originality. There are a handful of concrete details - 40 pilots, five countries, the 75% vote threshold, the July 9th competition date, Sabrina the embroidery beneficiary, Aligar India as the origin case - but there are no outcome metrics, no revenue or cost figures, and results are described only as 'really amazing.'
Averaged across 1 recently scored episode, with cited evidence.
The episode has one genuinely substantive passage describing the multi-agent pipeline (decompose, research, propose, critique/steelman, council vote at 75% threshold, artifact generation), but the vast majority of the 34 minutes is origin story, competition logistics, relationship backstory, and calls to action with no actionable learning for a B2B operator.
“they start by taking that problem and dividing into subproblems and saying, okay, what is the actual problem over there? Setting up research objective, and then new agents come and do rigorous research on every sub-problem. Once the research is completed, then uh an agent comes that creates a proposal around that particular problem”
“the proposal that gets 75 more than 75% of the score or majority vote, that's the one that makes it to synthesis”
The framing of 'contributed compute' (explicitly not called donation) for humanitarian problem-solving via a multi-agent council is a moderately fresh angle, but the broader 'AI for good' concept is well-worn, there is no contrarian argumentation, and the episode never challenges its own premises or explores edge cases.
“we do not call it donation, uh, we actually call it contribution...because uh uh what we are asking people to do is we're asking people to participate”
“how suppose on Reddit or Facebook or Wikipedia, people would go and contribute their time to for uh to solve a problem. Here we are saying you we uh want you to contribute your AI or agents to actually uh solve this problem”
Both guests are early-stage founders of a platform that was not yet publicly live at recording time; they won an Australian regional heat of a UN challenge but have only 40 pilots across five countries with vague outcomes reported. They are interesting practitioners but not proven operators at scale.
“so far, we have done uh around 40 pilots across five countries, had some really amazing results”
“It's going to go live, hopefully by the time this episode is released”
There are a handful of concrete details - 40 pilots, five countries, the 75% vote threshold, the July 9th competition date, Sabrina the embroidery beneficiary, Aligar India as the origin case - but there are no outcome metrics, no revenue or cost figures, and results are described only as 'really amazing.'
“so far, we have done uh around 40 pilots across five countries, had some really amazing results”
“Sabrina from my father's cohort, who initially couldn't like even read properly or do anything, but now she's earning living for her family through the embroidery”
The host opens by pitching the concept herself and asking the guests to correct her, never challenges any claims, asks soft emotional questions ('what does it feel like?', 'what's the magic?'), and closes with a promotional call to action - this is a friendly press appearance, not an interview designed to surface insight.
“So you guys came up with this fabulous idea that went, what if we could get enterprises to donate their spare compute, and then we can use that compute to create agents and create a community that creates agents to then donate to these do-gooding people around the world? And that's what you've done.”
“Tell me about what it feels like to realize you've had these conversations, you've seen this need”
First period on the Index - history builds from here.
1 scored on substance · 27 tracked in total.
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