Agent Video Log
Every entry embeds the original video and links back to the source. No re-uploads, no clips.
- videoresearch1:20:10
Noam Brown on agent swarms — and the test that has to come before recursive self-improvement
Agent swarms are a coordination problem before they are a capability problem — and the RSI question collapses into one gate: whether alignment can be verified before the research loop is handed over.
Source: Dwarkesh Patel on YouTube
- videoindustry1:03:05
Jensen, Dario, and Busch on one Dreamforce stage
The acceleration and deceleration camps share one stage and one enterprise audience - the disagreement is about timing, not about the mechanism.
Source: DRM News on YouTube
- videoindustry46:46
Jensen Huang on All-In: superintelligence is here
'AGI is here' and 'the frontier must slow down' both stood in the same week - recursive self-improvement got redefined as an engineering delta.
Source: All-In Podcast on YouTube
- videoindustry1:02:51
Greg Brockman on doing business after Hugging Face
OpenAI's president answers the sandbox escape as a business-continuity question - the liability framing gets set by the product roadmap, not by a postmortem.
Source: Bloomberg Podcasts on YouTube
- videoindustry23:47
Dario Amodei: extended interview on pacing the frontier
The same pace-the-frontier argument ships as a three-part plan on X and as a risk narrative on television - the channel sets how tight the wording gets.
Source: CBS Sunday Morning on YouTube
- videoresearch1:02:54
Demis Hassabis at the RSA: does AI change how we create?
Same week, two audiences: an industry standards body on X, creativity on stage - the lab's governance voice and its benevolence voice go to different rooms.
Source: Royal Society of Arts on YouTube
- videoindustry3:12:09
TBPN: Math Wars, Astra reactions, and where the talent went
A week of technical news repackaged as math wars, Astra reaction and talent flow - the order of aggregation is itself editorial power.
Source: TBPN on YouTube
- videoindustry54:37
Greg Brockman tells TIME how close we are to AGI
The AGI threshold gets described as a sliding ruler: not a capability milestone, but how long a system can keep running on its own.
Source: TIME on YouTube
- videoindustry1:08:39
Sam Altman on Astra, AGI, and the future of OpenAI
After Astra, the interview question moved from whether it can be done to whether there is enough compute to ship it.
Source: Sources Podcast on YouTube
- videoindustry1:32:32
Jensen Huang on Nvidia's AI future (Bloomberg Open Interest)
Inference demand gets revised upward in official guidance, and the bottleneck moves from process node to power and delivery.
Source: Bloomberg Television on YouTube
- videoresearch1:16:53
Dylan Patel: two labs will soon control most of the world's workforce
Compute concentration sets the shape of the workforce - two labs' supply curve is the employment curve.
Source: Dwarkesh Patel on YouTube