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zack lloyd

T3 · host / generalist

Founder and CEO of Warp, an AI-powered developer platform. Former principal engineer for Google Docs. Deep expertise in AI coding agents and model evaluation.

3 calls·3 names·33% bull·last heard 10 months ago·The Information
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
$NVDANvidia

Google's TPUs are one of Nvidia's only true AI chip competitors, per ex-Google engineer

Google's custom TPU chips represent a rare credible competitor to Nvidia in AI accelerator hardware, giving Google a vertically integrated advantage in the AI stack.

The Information2025-11episode →
2ndmedium conviction
$GOOGLAlphabet

Ex-Google engineer says Gemini 3 leads coding benchmarks, Google has all ingredients for AI dominance but faces innovator's dilemma

Gemini 3 is now the top-performing model for agentic coding benchmarks, and Google possesses unique advantages — proprietary TPU chips, massive data, infrastructure, capital, and founding AI talent — but its search business creates a structural innovator's dilemma that may limit aggressive AI deployment.

The Information2025-11episode →
3rdmedium conviction
$DEEPSEEKDeepSeek

DeepSeek remains one step behind US frontier models; chip restrictions make parity unlikely per AI coding CEO

DeepSeek's models currently lag flagship models like GPT-5, Sonnet 4.5, and Gemini 3, and US export controls on advanced chips create a structural barrier to catching up, though geopolitical incentives may drive continued Chinese model development.

The Information2025-11episode →

most discussed · click a bar to filter

  • $NVDA
  • $GOOGL
  • $DEEPSEEK

recurring themes

  • AI Agents1
  • AI Economics & Business Models1
  • AI Hardware & Chip Architecture1
  • Open Source AI1
  • AI Geopolitics & Export Controls1
3 total
$NVDA
···
Nvidia
MEDzack lloyd·The Information·10 months ago·OpenAI VS Google: The Chatbot Race
Google's TPUs are one of Nvidia's only true AI chip competitors, per ex-Google engineer
Google's custom TPU chips represent a rare credible competitor to Nvidia in AI accelerator hardware, giving Google a vertically integrated advantage in the AI stack.
"they're one of Nvidia's only competitors when it comes to actually making um you know AI chips"
4:35
$GOOGL
···
Alphabet
MEDzack lloyd·The Information·10 months ago·OpenAI VS Google: The Chatbot Race
Ex-Google engineer says Gemini 3 leads coding benchmarks, Google has all ingredients for AI dominance but faces innovator's dilemma
Gemini 3 is now the top-performing model for agentic coding benchmarks, and Google possesses unique advantages — proprietary TPU chips, massive data, infrastructure, capital, and founding AI talent — but its search business creates a structural innovator's dilemma that may limit aggressive AI deployment.
"Gemini 3 is a far superior model to Gemini 2.5 Pro and it's certainly at least comparable if not um maybe a little bit ahead of the pack right now when it comes to uh using models…"
0:50
$DEEPSEEK
DeepSeek
MEDzack lloyd·The Information·10 months ago·OpenAI VS Google: The Chatbot Race
DeepSeek remains one step behind US frontier models; chip restrictions make parity unlikely per AI coding CEO
DeepSeek's models currently lag flagship models like GPT-5, Sonnet 4.5, and Gemini 3, and US export controls on advanced chips create a structural barrier to catching up, though geopolitical incentives may drive continued Chinese model development.
"Deepseek is still improving... my sense is that is that deepseek is is like one step behind... not at the same level if you look at the flagship models like GBT 5, Sonnet 45 or Ge…"
10:21
8
AI Agentstailwind
Agentic coding models now run long-horizon tasks with minimal human guidance, per Warp CEO
Frontier models like Gemini 3 can execute multi-step development and DevOps tasks autonomously for extended periods, reducing need for human-in-the-loop guidance and unlocking higher-value AI applications.
7
AI Economics & Business Modelsmixed
Three-way frontier model parity means no winner-take-all without recursive self-improvement breakthrough
Google, OpenAI, and Anthropic are at near-parity in model capabilities; the market will support a competitive cohort rather than a single winner unless a recursive self-improvement feedback loop emerges, which remains theoretical.
6
AI Hardware & Chip Architecturetailwind
Vertical integration of chips, cloud, and models gives Google structural cost and control advantages
Owning the full stack — TPU chips, data centers, model training, and application distribution — allows Google to capture more value and optimize across layers, unlike pure model providers dependent on third-party cloud and hardware.
6
Open Source AItailwind
Open-weight models trailing frontier could drastically lower costs for AI application builders
A competitive open-source tier just behind the proprietary frontier would compress API pricing and give application developers leverage and choice, benefiting the broader ecosystem.
6
AI Geopolitics & Export Controlsheadwind
US chip export controls likely keep Chinese models one generation behind US frontier
Despite strategic urgency and economic incentives, Chinese labs like DeepSeek face structural compute access limitations that prevent reaching true parity with US flagship models, though they will remain relevant regional players.