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aj

T2 · manager / operator

Founder of AMP, a venture firm (AMP Foundry) and infrastructure platform (AMP Grid) building ~2 GW of US AI compute capacity; investor in Maver and Periodic Labs; focused on energy, compute utilization, and frontier AI applications.

4 calls·4 names·100% bull·last heard 2 months ago·TBPN
track record

no scored calls yet — needs a stated position or a categorical verdict, with a matured window vs SPY

top calls

highest conviction · one per company
1sthigh conviction
$PERIODIC-LABSPeriodic Labs

Periodic Labs uses AI-driven RL loop with robotic synthesis and X-ray verification to discover room-temperature superconductors

Closing the loop between AI materials prediction, robotic synthesis, and physics-based verification (X-ray diffraction) enables rapid RL-driven discovery of superconductors, demonstrating a repeatable paradigm for AI-accelerated scientific breakthroughs.

TBPN2026-07episode →
2ndhigh conviction
$AMP-GRIDAMP Grid

AMP Grid building 2 GW of AI infrastructure, procuring 2030 capacity, investing in nuclear to solve energy bottleneck

AMP is deploying 2 GW of US AI compute capacity with a 2030 energy procurement horizon, spinning out its infrastructure arm, and investing in nuclear (Maver) to overcome the power bottleneck that limits US competitiveness vs China.

TBPN2026-07episode →
3rdhigh conviction
$ANTHROPICAnthropic

AMP founder reveals Anthropic at $40B+ run rate with non-circular revenue from coding agents

Anthropic has achieved over $40B annualized revenue driven by real enterprise adoption of coding agents, not circular cloud spending, validating the AI application layer business model.

TBPN2026-07episode →

most discussed · click a bar to filter

  • $BLACK-FOREST-LABS
  • $PERIODIC-LABS
  • $AMP-GRID
  • $ANTHROPIC

recurring themes

  • AI Infrastructure1
  • Grid & Power Infrastructure1
  • AI Agents1
4 total
$BLACK-FOREST-LABS
Black Forest Labs
MEDaj·TBPN·2 months ago·AMD CEO Lisa Su Live on TBPN
Black Forest Labs trains Flux 3 video model on AMP Grid with 12 researcher co-founders
A 12-founder researcher team building frontier video models on dedicated AI infrastructure (AMP Grid) represents a new model for capital-efficient, talent-dense AI labs competing with Big Tech.
"Black Force Labs, their color is forest green... 12 co-founders. They're all researchers... Flux 3 that's training on the AMP grid and uh it's from Black Forest Labs"
36:40
$PERIODIC-LABS
Periodic Labs
HIGHaj·TBPN·2 months ago·AMD CEO Lisa Su Live on TBPN
Periodic Labs uses AI-driven RL loop with robotic synthesis and X-ray verification to discover room-temperature superconductors
Closing the loop between AI materials prediction, robotic synthesis, and physics-based verification (X-ray diffraction) enables rapid RL-driven discovery of superconductors, demonstrating a repeatable paradigm for AI-accelerated scientific breakthroughs.
"Periodic Labs. It's uh one of our portfolio companies. They're um trying to discover room temperature superconductor... AI models that are predicting new materials, new candidates…"
51:01
$AMP-GRID
AMP Grid
HIGHaj·TBPN·2 months ago·AMD CEO Lisa Su Live on TBPN
AMP Grid building 2 GW of AI infrastructure, procuring 2030 capacity, investing in nuclear to solve energy bottleneck
AMP is deploying 2 GW of US AI compute capacity with a 2030 energy procurement horizon, spinning out its infrastructure arm, and investing in nuclear (Maver) to overcome the power bottleneck that limits US competitiveness vs China.
"building out about 2 GW of capacity in the United States... we're procuring energy and new capacity for 2030... we're going to need nuclear... only 15% of every single tenant data…"
41:09
$ANTHROPIC
Anthropic
HIGHaj·TBPN·2 months ago·AMD CEO Lisa Su Live on TBPN
AMP founder reveals Anthropic at $40B+ run rate with non-circular revenue from coding agents
Anthropic has achieved over $40B annualized revenue driven by real enterprise adoption of coding agents, not circular cloud spending, validating the AI application layer business model.
"Anthropic go from zero literally when we started the business like five years ago to well north of 40 billion in run rate... most of that revenue is coming from everyday customers…"
45:57
9
AI Infrastructuretailwind
US data center utilization at 15% flops efficiency creates national security crisis
Only 15% of provisioned flops are productively used due to 30-40% scheduling losses and 15% model flop utilization (MFU); fixing this software-defined waste is as critical as building new capacity for maintaining US AI leadership against China's industrial-scale buildout.
9
Grid & Power Infrastructuretailwind
AI infrastructure players procuring 2030 energy capacity now, nuclear essential for US competitiveness
Multi-gigawatt AI campuses require 5-7 year energy lead times; AMP's 2030 procurement horizon and nuclear investment (Maver) highlight that power permitting and generation, not chip supply, is the binding constraint for US AI leadership.
9
AI Agentstailwind
Reinforcement learning with verifiable rewards drives next leg of AI capability expansion beyond coding
Industrial-grade RL with formal verification (unit tests, physics simulations, X-ray diffraction) creates tight feedback loops that rapidly expand model capabilities in any domain with ground-truth signals — materials science, math, robotics — not just coding.