TECH013: Monthly Tech Round-up - Davos WEF, Claude Cowork, Macrohard,  w/ Seb Bunney (Tech Podcast)

Summary of TECH013: Monthly Tech Round-up - Davos WEF, Claude Cowork, Macrohard, w/ Seb Bunney (Tech Podcast)

by The Investor's Podcast Network

1h 8mJanuary 28, 2026

Overview of TECH013: Monthly Tech Round-up — Davos WEF, Claude Cowork, Macrohard, w/ Seb Bunney (Infinite Tech Podcast)

This episode of Infinite Tech (TIP) is a rapid-fire monthly tech roundup hosted by Preston Pysh with guest Seb Bunney. They cover the biggest recent developments across AI, crypto/Bitcoin, robotics, biotech/aging, and infrastructure — anchored by impressions from Davos/WEF. Major threads: Anthropic’s Claude Cowork and agent workflows (Ralph), computation-as-wealth and implications for money (Bitcoin), Elon’s MacroHard/XAI/Optimus strategy, Tesla’s new networking patent (TCP-like optimization), NYSE tokenization vs. true on-chain equities, and a promising stem-cell treatment that restored insulin production in a Type 1 diabetes patient.

Key topics discussed

  • Anthropic’s Claude Cowork
    • Demonstrated building a production-feeling meditation app end-to-end (design → code → deploy as PWA) with minimal friction.
    • Use cases: UX design, full-stack generation, personal “apps” and workflows, knowledge recall from notes.
  • Agent chains / “Ralph”
    • Persistent, looped AI agents that retry, pass context forward, and achieve long-running tasks (overnight builds, new languages, contracts completed cheaply).
  • Personal knowledge tooling
    • Obsidian + Cursor (or Cursor IDE pointed at notes) to reorganize, index and extract insights from years of notes; AI turns latent knowledge into actionable outputs.
  • Computation as scarce asset / Bitcoin connection
    • Computation (energy + processing) becomes a scarce, valuable unit; parallels drawn to monetary scarcity and Bitcoin as reliable digital sovereign store-of-value.
  • MacroHard / XAI / Optimus (Elon Musk)
    • Ambition to create huge compute & simulated 3D environments to accelerate robot (Optimus) learning and general-purpose software generation.
  • Tesla transmission protocol (TCPIP alternative)
    • Patent for a Tesla transmission protocol that optimizes hardware-to-hardware data transfer in data centers (up to 100–1,000× efficiency improvements; estimated 5–15% energy savings).
  • NYSE tokenization announcement
    • Exchange launching tokenization/settlement rails, but debate over whether this is “native on-chain” equities versus tokenized analogs (Caitlin Long’s critique).
  • Biotech / longevity / stem-cell diabetes breakthrough
    • Study reported sustained insulin independence in a patient after stem-cell-derived transplant; glycemic control improved from ~43% to >96% in months.
  • Cultural/WEF context
    • Davos shifting focus to AI and tech (less climate/energy rhetoric), political tensions (Trump’s presence), and high-profile figures re-evaluating crypto/blockchain.

Main takeaways and implications

  • AI tooling has reached practical, end-to-end capability for non-experts.
    • Building polished apps, UX, and deployable products via tools like Claude Cowork is now feasible in minutes-to-days rather than months.
  • Agentic AI and persistence change the economics of labor and software.
    • Persistent agents (Ralph-style) can do 24/7 development, create outsized productivity gains, and enable “one-person” companies that scale to large outputs.
  • Computation will be a key scarce resource.
    • As agents run continuously and require massive compute, access to computation (and reliable, cheap energy) becomes a source of competitive advantage; ties into debates about monetary sovereignty and Bitcoin.
  • Infrastructure and optimization remain competitive edges.
    • Hardware-to-hardware protocols (e.g., Tesla’s TCP variant) and massive private compute facilities can yield large marginal gains — and these micro-percentages compound at scale.
  • Tokenization announcements can be hype vs. on-chain reality.
    • “Using blockchain rails” is different from true native on-chain corporate governance; legal/state recognition remains the root problem for real on-chain equities.
  • Medical breakthroughs are accelerating via biotech + engineering mindset.
    • Stem-cell-based cures (e.g., for Type 1 diabetes) suggest many chronic conditions may be addressable by cell-therapy/repair rather than lifetime symptom management — massive capitalist and regulatory implications.

Notable quotes & excerpts

  • “We are literally going through the singularity right now… maybe we’re in the first innings.” — perception of rapid acceleration at Davos.
  • Anthropic’s document excerpt: “If Claude is in fact a moral patient experiencing costs like this… to whatever extent we are contributing unnecessarily to those costs, we apologize.” — shows emerging ethical framing and anthropomorphic language in AI companies.
  • “AI is eating all these SaaS products.” — observation that personalized, on-demand apps will erode traditional SaaS economics.
  • “One human company that is a billion-dollar company” — idea that a single operator with AI agents could deliver major value.
  • “Bitcoin is the only thing that you actually have custody of that no outside party can claw back.” — argument for Bitcoin’s unique digital-scarcity/custody properties.

Practical recommendations / action items

  • Try Claude Cowork or equivalent agent-enabled interfaces for rapid prototyping (design → code → deploy). Use PWAs to skip app-store friction for proofs-of-concept.
  • Audit personal knowledge management: consider Obsidian + Cursor (or similar) to index old notes and set up regular AI-generated summaries (weekly/monthly insights).
  • Experiment with agent workflows (Ralph-style) for long-running tasks: test small automations first and monitor compute costs.
  • Keep an eye on infrastructure patents (Tesla’s TCP-like protocol, XAI/MacroHard) — these signal where compute/energy efficiency gains will appear.
  • For investors/entrepreneurs: map competitive advantages to compute access, optimization, and sovereignty (digital custody, regulatory moats).
  • In crypto: distinguish tokenized analogs (custody by exchanges/issuers) from native on-chain assets with legal-state recognition; monitor policy/legal developments in states allowing on-chain corporate records.

Further reading & resources mentioned

  • Anthropic — Claude Cowork, Claude Constitution/behavior doc
  • Ralph (Ralph Wiggum) — persistence agent scripts and demonstrations on X/Twitter
  • Cursor (IDE) — agent integration for code and note interaction
  • Obsidian — personal knowledge base tool
  • Tesla patent — Tesla transmission protocol (hardware-to-hardware optimizations)
  • MacroHard / XAI / Optimus — Elon Musk projects for simulated 3D training + humanoid robot
  • Caitlin Long — comments on tokenization vs native on-chain equities
  • David Sinclair — Lifespan (book) and longevity research
  • Recent Science Direct study (stem-cell transplantation restoring insulin production in Type 1 diabetes patient)

Guest & how to follow

  • Guest: Seb Bunney
  • Website: sebbunny.com
  • Mentioned book: The Hidden Cost of Money (Seb Bunney)

Credits: Episode produced by Infinite Tech / The Investor’s Podcast Network. This summary condenses topics and opinions from Preston Pysh and Seb Bunney’s conversation; it does not constitute investment, medical, or legal advice.