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imad

T3 · host / generalist

Moonshots panelist, author of 'The Last Economy'. Deep in quantization research (sub-1-bit), edge AI, and inference optimization. Invests in companies working on ternary/binary compression and photonic substrates. Tracks Chinese lab innovations closely.

4 calls·4 names·100% bull·last heard 2 months ago·Peter H. Diamandis
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
1stmedium conviction
$FIREWORKS-AIFireworks AIposition

Imad flags inference providers as key beneficiaries of open-source model optimization

Inference platforms (Fireworks $17B, Modal $10B, Baseten $10B) have raised massive capital to optimize open-weight models like Kimi K3 for Western hardware, capturing value as enterprises self-host.

Peter H. Diamandis2026-07episode →
2ndmedium conviction
$BASETENBasetenposition

Baseten at $10B joins inference arms race for open-weight models

Baseten is part of the cohort of well-funded inference providers that will aggressively optimize open-source models (Kimi K3, Inkling) for enterprise self-hosting, accelerating the commoditization of frontier intelligence.

Peter H. Diamandis2026-07episode →
3rdmedium conviction
$MODALModalposition

Inference provider Modal at $10B valuation to optimize open-source models

Same thesis as Fireworks: Modal and peers will spend raised capital optimizing Chinese open-weight models for Nvidia/AMD hardware, creating a low-cost inference layer that undercuts frontier lab APIs.

Peter H. Diamandis2026-07episode →

most discussed · click a bar to filter

  • $FIREWORKS-AI
  • $SSNLF
  • $BASETEN
  • $MODAL

recurring themes

  • AI Infrastructure1
  • Cybersecurity1
  • Semiconductors1
4 total
$FIREWORKS-AI
Fireworks AI
MEDimad·Peter H. Diamandis·2 months ago·China's Kimi K3 Triggers an AI Sputnik Moment, 2.8 Trillion Parameters Go Open Source | Ep. 272· position
Imad flags inference providers as key beneficiaries of open-source model optimization
Inference platforms (Fireworks $17B, Modal $10B, Baseten $10B) have raised massive capital to optimize open-weight models like Kimi K3 for Western hardware, capturing value as enterprises self-host.
"You've seen Fireworks just raise at a $17 billion valuation. Others like Modal at 10 billion, Baseten at 10 billion. These are the inference providers of open source models. They'…"
111:00
$SSNLF
···
Samsung Electronics
MEDimad·Peter H. Diamandis·2 months ago·China's Kimi K3 Triggers an AI Sputnik Moment, 2.8 Trillion Parameters Go Open Source | Ep. 272
Samsung breaks sub-1-bit quantization barrier for on-device frontier models
Samsung's 'nano quant' model achieves sub-1-bit-per-weight quantization, enabling frontier-class models on smartphones. This positions Samsung as a key enabler of edge AI and a potential winner in the on-device inference race.
"Samsung published a model called nano quant that breaks the one bit one effective bit per weight barrier. So it's sub one bit which I think we're going to be talking quite a bit m…"
68:00
$BASETEN
Baseten
MEDimad·Peter H. Diamandis·2 months ago·China's Kimi K3 Triggers an AI Sputnik Moment, 2.8 Trillion Parameters Go Open Source | Ep. 272· position
Baseten at $10B joins inference arms race for open-weight models
Baseten is part of the cohort of well-funded inference providers that will aggressively optimize open-source models (Kimi K3, Inkling) for enterprise self-hosting, accelerating the commoditization of frontier intelligence.
"Others like Modal at 10 billion, Baseten at 10 billion. These are the inference providers of open source models. They've all raised a billion dollars that they're now going to spe…"
111:00
$MODAL
Modal
MEDimad·Peter H. Diamandis·2 months ago·China's Kimi K3 Triggers an AI Sputnik Moment, 2.8 Trillion Parameters Go Open Source | Ep. 272· position
Inference provider Modal at $10B valuation to optimize open-source models
Same thesis as Fireworks: Modal and peers will spend raised capital optimizing Chinese open-weight models for Nvidia/AMD hardware, creating a low-cost inference layer that undercuts frontier lab APIs.
"Others like Modal at 10 billion, Baseten at 10 billion. These are the inference providers of open source models. They've all raised a billion dollars that they're now going to spe…"
111:00
9
AI Infrastructuretailwind
Quantization breakthroughs (ternary, binary, sub-1-bit) to 100x inference efficiency
Prism ML's Bonsai 27B runs at ternary (1.58-bit) with 5% accuracy drop; Tencent's binary compression and Samsung's sub-1-bit 'nano quant' prove the trajectory. Imad predicts sub-1-bit mainstream within a year; Dave forecasts 100-10,000x raw compute gains in 3 years from quantization + new substrates (photonic).
7
Cybersecuritytailwind
Cyber defense becomes largest VC category as open models proliferate offensive capabilities
Open-weight models (Kimi K3, future Chinese releases) will gain cyberattack capability within 1-2 quarters via fine-tuning on CVE data. Every company needs AI-native cyber defense. Imad: 'must be the absolute biggest category in VC right now' for Stanford/MIT grads.
6
Semiconductorstailwind
Huawei Ascend 910 and Alibaba chips become inference targets for Chinese models
Kimi K3 optimized for static shapes on Huawei/Alibaba silicon (64-node clusters). While US inference providers (Modal, Fireworks) will serve same models 10-100x cheaper on Blackwell/Rubin, Chinese chip stack gains a guaranteed domestic workload, accelerating its maturity.