ben guo

reading

useful ideas and passages from things i’ve saved and read.

  1. saved

    Martin Shkreli Breaks Down the Collapse of Situational Awareness

    by TBPNYouTubepublished

    gist

    TBPN’s interview with Martin Shkreli uses the reported collapse of Leopold Aschenbrenner’s Situational Awareness fund to explain how leverage and illiquidity can turn a winning thesis into forced liquidation. Shkreli describes prime brokers taking control, rivals identifying and shorting crowded positions, and buyers demanding discounts large enough to withstand further pressure. His durable lesson is about survival rather than prediction: an investor can be right about the long-term AI trade and still be wiped out by oversized bets, margin calls, and assets that cannot be sold when cash is needed.

    ideas

    • Leverage makes timing existential. At four times leverage, a 25 percent decline can erase a fund’s equity, letting prime brokers take control before the underlying thesis has time to recover.
    • Liquidity is part of position size. A stake equal to days of normal volume cannot be sold at the displayed price; advertising the order reveals distress and invites traders to get ahead of it.
    • Forced sellers lose control of price. Prime brokers prefer a certain loss to an open-ended exposure, while a buyer demands enough discount and holding capacity to survive continued shorting.
    • Private holdings amplify a public-market squeeze. An illiquid private position can look valuable yet fail to supply cash for margin calls, leaving the liquid book to absorb the unwind.
    • An edge cannot rescue overbetting. Shkreli invokes the Kelly criterion to argue that even favorable odds still lead to ruin when repeated bets are too large.

    quotes

    “You know, a 25% draw down takes you out of business.”

    Martin Shkreli, explaining how four-times leverage makes an ordinary decline fatal.

    “You'd probably take the stock down 50% or more, and you don't want to do that.”

    Martin Shkreli, describing the market impact of trying to sell ten days of trading volume.

    “So, uh, leverage is the best friend to a prime broker.”

    Martin Shkreli, explaining the incentive created by financing spreads.

    “Um, but you will absolutely go bust if you don't size correctly.”

    Martin Shkreli, distilling the Kelly-criterion lesson for investors with a genuine edge.

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  2. saved

    Sarah's Wager

    by Dom CookeColossuspublished

    gist

    Dom Cooke’s profile frames Sarah Guo’s Conviction around a contrarian wager: frontier AI labs will become extraordinarily capable, but they will not absorb every valuable product and company. Guo builds an alternative ecosystem by backing application and infrastructure firms early, staying deeply involved as they grow, and using constant contact with researchers and founders to track the technical frontier. Her edge, in the account, is sustained attention, speed, and unusually hands-on support.

    ideas

    • The wager is pluralism. Guo is betting that startups can keep owning valuable products and infrastructure even as Anthropic and OpenAI expand beyond their models.
    • Independence can be a product advantage. Harvey sells law firms trust, data control, and resilience across model providers, while Baseten gives AI companies alternatives to lab-controlled inference.
    • Proximity is an information system. Embed, Conviction’s shared office, a research-focused podcast, and Guo’s network keep the firm close to early technical and market changes.
    • Follow-on work compounds conviction. The profile shows Guo recruiting candidates, making introductions, challenging roadmaps, and investing across rounds instead of treating the initial check as the whole job.

    quotes

    “But when we decided that AI was going to be like the Industrial Revolution, you don’t observe that from afar.”

    Sarah Guo, explaining why Conviction maintains physical proximity to the technical frontier.

    “It was a belief that people with a more academic profile who can do this science can do amazing things that are non-obvious.”

    Sarah Guo, describing the people-first belief behind Conviction’s investment in Mistral.

    “She combines deep technical understanding with exceptional startup building insight. She speaks the language of entrepreneurs and is an absolute joy to work with.”

    Jensen Huang, assessing Guo’s combined technical understanding and startup-building judgment.

    “Nvidia loves investing with her.”

    Jensen Huang, adding Nvidia’s direct investment endorsement.

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  3. saved

    The Artist Who Colored Ghibli

    by Animation Obsessive StaffAnimation Obsessivepublished

    gist

    Animation Obsessive traces Studio Ghibli’s visual identity through Michiyo Yasuda, the color designer who turned palette choices into texture, atmosphere, character, and narrative. Her restrained, natural-looking colors helped fantastic creatures feel physically believable and gave images depth without murkiness. The account follows a craft developed through decades of observation and experiment, then carried from hand-painted cels into digital production without collapsing into a fixed house formula.

    ideas

    • Color conveys material. Yasuda could make fabric seem thick, flimsy, faded, or worn through the selected shade rather than through added detail alone.
    • Restraint makes fantasy convincing. Muted, semi-natural palettes let viewers sense air, light, and animal warmth, grounding creatures such as Totoro and the Catbus in a believable world.
    • Observation trained the eye. Yasuda studied reflections, moving shadows, distant patterns, and other ordinary effects, then converted those observations into production-specific color decisions.
    • The method stayed adaptive. She moved from cels to digital painting while treating each film and shot as a new problem, so Ghibli’s color identity evolved instead of becoming a reusable palette.

    quotes

    “Whether the fabric is thick or flimsy depends on the color chosen.”

    Isao Takahata, explaining how Yasuda’s color choice conveyed fabric texture in Grave of the Fireflies.

    “They have to be such colors that make you say even Totoro might really exist.”

    Michiyo Yasuda, explaining how realistic color makes fantasy convincing in Ghibli films.

    “Even Studio Ghibli hasn’t come up with a defined color scheme because it’s always evolving according to the approaches and requirements of each new film.”

    Michiyo Yasuda, explaining why Ghibli’s color practice remains specific to each production.

    “So, looking for a little more gentleness, I set out to create my own paints.”

    Michiyo Yasuda, describing why she developed a gentler palette instead of using the era’s strong plastic colors.

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  4. saved

    The Shape of Things to Come, Part 1: The Continuous Thunderdome

    by Steve Yeggeyegge.ai

    gist

    Steve Yegge reports from six weeks building Wheelhouse, a bespoke, Beads-backed organization of dozens of agents that develops and operates Wyvern. His central claim is that agentic work at scale starts to resemble a city: persistent work and knowledge graphs, producer and consumer roles, standing operational agents, institutional memory, and automated recovery. At that throughput, human review and one-green-build-per-change CI become bottlenecks; he predicts multi-agent review, megabatch landings with swarm repair, and “wish factories” that turn user requests into guarded production changes.

    ideas

    • Give loops both fuel and a work graph. Long-running agents need enough token capacity and a dependency-aware backlog with claims, leases, gates, and triggers so they can advance independently.
    • Build an organization around the product. Wheelhouse separates agents that design work, agents that implement it, reviewers, and standing production roles; Yegge argues this structure must grow with the application rather than arrive as a reusable harness.
    • Layer knowledge by lifetime and audience. Strategy and decisions live in a project brain, system explanations in documentation, task-local findings in Beads, recurring gotchas in pushed memory, and repeatable procedures in skills.
    • Reserve models for judgment. Deterministic watchers detect events and wake named agents, keeping continuous operations reliable without spending model effort on routine polling.
    • Change the integration strategy when arrivals outrun build capacity. Yegge’s early Wheelhouse experiments land large batches, then use agent swarms to diagnose and roll forward; the evidence is promising but limited to a young system and game-industry parallels.

    quotes

    “So the crew produces work, and the fleet consumes work. That's the core of a Beads machine: matching producers to consumers.”

    Steve Yegge, defining the production balance at the core of his agent organization.

    “The rule is: crons watch, models act.”

    Steve Yegge, reserving model calls for events that require judgment.

    “You can't work at agentic speeds and block everything with human reviews. Those are incompatible.”

    Steve Yegge, arguing that per-diff human approval cannot keep pace with agentic throughput.

    “Once your commit rate outruns your build slots, one commit per green build becomes mathematically impossible.”

    Steve Yegge, stating the capacity condition that forces a different integration strategy.

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  5. saved

    It scrolls up

    by Simon KleeXpublished

    gist

    Simon Klee’s OpenCode mini pares a coding-agent interface down to scrollback, a prompt, a bottom bar, and sparse session context. Running it through a DEC VT520 shows that the essential interaction survives without color, Unicode, a mouse, or a modern full-screen terminal. The design lesson is to test every persistent interface element for actual value, hide secondary information on demand, and let users decide how much context they need.

    ideas

    • Subtract persistent interface chrome. Ask whether each element must always be visible, and keep secondary context behind a request or setting.
    • Design around durable terminal primitives. Scrollback, a prompt, and text output survive drastic hardware constraints.
    • Use compatibility to expose the product. An 80-column, 25-line monochrome screen reveals which interactions remain essential without Unicode, color, or mouse input.
    • Keep minimalism configurable. A sparse interface and settings for context density let different users decide how much information is enough.

    quotes

    “For each UI element, I asked if it added value.”

    Simon Klee, stating his criterion for retaining persistent interface elements.

    “Did it have to be present all the time, or could it stay hidden until you asked for that information?”

    Simon Klee, deciding whether secondary context should remain visible or appear on demand.

    “The text stream, scrollback, and prompt still work. The hardware does not support Unicode symbols, color, or mouse interactions.”

    Simon Klee, reporting what survived the VT520 compatibility test.

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  6. saved

    Trajectory: A Standard Format for Agent Experience Data

    by LettaLettapublished

    gist

    Letta introduces Trajectory, an open-source format that converts sessions from Codex, Claude Code, Letta Code, and other agent harnesses into a common sequence of messages, reasoning, tool calls, and results. It is optimized for agents learning from prior work, so it removes harness bookkeeping and can truncate large outputs. That consumer-specific tradeoff makes cross-harness memory practical while using substantially fewer tokens than native logs or replay-oriented formats.

    ideas

    • The consumer should determine the format. Full-fidelity replay needs metrics and structured payloads, while an agent forming memory needs the smallest record that still explains what happened.
    • Normalization removes incidental variation. A shared record schema lets agents process experience from different harnesses without first interpreting each vendor’s envelopes, event streams, and duplicated fields.
    • Compression is a practical constraint. Letta reports roughly fivefold token reductions on sampled coding sessions, with default truncation cutting both Claude Code and Codex logs further than the untruncated format.
    • Portable experience enables portable learning. Listing and normalizing sessions across harnesses supports shared indexing, memory bootstrapping, search, and background consolidation.

    quotes

    “Learning across harnesses requires first creating a standard data format for the experience each harness produces.”

    Letta, stating the prerequisite for learning from agent experience across harnesses.

    “The format keeps only the information needed to understand the agent's experience.”

    Letta, stating Trajectory’s compression rule for agent-readable session history.

    “On sessions we sampled, this results in a ~5x reduction in token counts compared to native session formats.”

    Letta, reporting sampled compression versus native formats.

    “Agents can also search through trajectory files to find information from past sessions, even if they were from another harness.”

    Letta, describing how normalized trajectories make past work retrievable across harnesses.

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  7. saved

    Obliterate, Don’t Automate

    by Michael MignanoXpublished

    gist

    Michael Mignano extends USV’s “obliterate, don’t automate” investment test to AI. Automation makes an incumbent workflow more efficient; obliteration moves expert capability from a gatekeeper to the customer and changes the market’s structure. Because agents make expertise abundant and directly deployable, products can replace the institution that once packaged that expertise instead of selling it better tools. The practical screen for an AI startup is whether success would redistribute power and leave the existing market recognizably different.

    ideas

    • Test for structural change. A product is obliterative when its success changes who controls the market, rather than only the speed or cost of the existing workflow.
    • Follow the expertise bottleneck. AI weakens institutions whose power depends on limiting access to specialist knowledge.
    • Move capability to demand. Directly deployable expertise lets customers perform tasks without renting it from an intermediary.
    • Judge the end state. Ask whether the market would still look the same if the company worked at scale.

    quotes

    “Our whole quest has been how to overhaul market structures instead of simply creating efficiencies within them.”

    Michael Mignano, stating USV’s investment test for structural market change.

    “Instead of renting expertise from a gatekeeper, you can access and deploy it directly. No gatekeeper required.”

    Michael Mignano, explaining how AI moves expert capability from gatekeepers to customers.

    “That shift, from the supply side to the demand side, is what actually restructures a market.”

    Michael Mignano, describing the transfer of expert capability from gatekeepers to customers.

    “In each of these examples, if they work, the markets they're in won't look the same for much longer.”

    Michael Mignano, defining the end-state test for an obliterative company.

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  8. saved

    The Building Block Economy

    by Mitchell HashimotoXpublished

    gist

    Mitchell Hashimoto argues that agentic software production shifts adoption toward reusable building blocks. Agents can assemble documented, proven components faster than they can build from scratch, allowing many small applications and forks to reach niches that a mainline product cannot. Maintainers can narrow the core product, reject peripheral features, and treat downstream experiments as outsourced R&D. The tradeoff is more insecure, unstable software and weaker system understanding, while closed commercial components face a discovery and adoption disadvantage.

    ideas

    • Optimize for assembly. Well-documented, proven components become more valuable when agents can combine them without the former expertise barrier.
    • Let niches multiply. Small downstream artifacts can serve audiences too narrow for the mainline application and expose more people to the underlying component.
    • Use forks as field research. Maintainers can observe working experiments, select the best ideas, and keep the core feature set deliberate.
    • Shift maintenance boundaries. Offering production primitives makes it easier to decline peripheral feature requests while improving the building block.
    • Treat openness as distribution. Agents currently favor open, free components, which puts closed commercial software at a structural adoption disadvantage.

    quotes

    “The factory of today is agentic.”

    Mitchell Hashimoto, identifying agents as the production system behind the building block economy.

    “AI is okay at building everything from scratch, but it is really good at gluing together high quality, well documented, and proven components.”

    Mitchell Hashimoto, explaining why documented building blocks gain leverage.

    “Instead, I think the mainline application is becoming more stable and more purposeful in its feature set.”

    Mitchell Hashimoto, describing how downstream experimentation can improve the mainline product.

    “Agents will more readily pick open and free software over closed and commercial.”

    Mitchell Hashimoto, warning that closed commercial components face an agent-discovery disadvantage.

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  9. saved

    heaven in a silicon chip

    by Michael GreenRunning Presspublished

    Of course, there are a lot of secretaries who swear by their word processors, businessmen delighted with their spreadsheets, kids lost in their Zork Underground Empires—but in a culture already isolated from much of its own feelings, from its mysteries (Fig. 1)—have computers become part of the solution or part of the problem? Will MS-DOS (whatever that is) lead us out of the desert? Or Unix to the promised land? Do they speak Fortran in Paradise?

    The problem is that right-brain functions cannot be measured by left-brain tools. And any culture whose prevailing mind-set is: if you can’t measure or market it, it probably doesn’t exist, will have a hard time accepting that right-brain activity is not just another block of information you learn and utilize, like Calculus, or how to use a spread sheet. Nor is this process an “artistic” skill like figure drawing.

    It can’t be taught.
    It can only be caught.

    It’s a whole other way of being. In fact, it’s the way we were as children, then gradually learned to ignore. It’s just a question of whether you can re-open the door.

    And now it turns out that the Macintosh is somehow able to help open that door, to stimulate the right brain creative-intuitive process.

    It offers a unique and beguiling environment to catch it, to exercise it, to reintegrate it with that linear, literal, minding-the-store A B C D world of the left hemisphere.

    And, as everybody should know by now, a clear working balance between the left and right hemispheres is the essential foundation for any real foray into personal evolution.

    Getting your act together.

    Which is the first step in getting the Big Act together, what is sometimes extravagantly known as Saving the World.

    Grand claims for a computer, no doubt. But then again—if there are those who have found heaven in a grain of sand, why not in a silicon chip? (Fig. 2)

    Michael Green, Zen & the Art of the Macintosh: Discoveries on the Path to Computer Enlightenment (Philadelphia: Running Press, 1986), 76.

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