Souk's Notes - Unofficial Summaries

2026-07-14 · open the original ↗

• Battery-metal prices spike whenever war breaks out, he observes. He points to a lithium price surge when the Russia-Ukraine war began in 2022, and a further jump in 2026 when the US-Iran war added to prices for nickel, cobalt, lithium and graphite that were already climbing.
• He explains why graphite's hexagonal carbon structure works as a battery anode. Its shape lets lithium ions insert and later exit reversibly between layers of graphite sheets, which is what makes lithium-ion batteries rechargeable; the cathode is typically a lithium compound paired with cobalt, manganese or nickel.
• The electrolyte conducts lithium ions but not electrons, he notes. That distinction — ionic but not electrical conductivity — is what forces electrons to travel through the external circuit that powers a device.

2026-07-14 · open the original ↗

• The Gordian Knot may be entirely mythical, with no archaeological evidence. Its origin story traces to Phrygia, a kingdom that emerged around 1200 BC in Anatolia after the Bronze Age collapse, where an oracle prophesied that whoever arrived by oxcart would become king.
• Gordias's son Midas — the golden-touch Midas — tied the original knot. A subsequent prophecy held that whoever untied it would rule all of Asia, and for roughly a millennium, kings and thinkers reportedly failed to do so.
• In 333 BC, Alexander cut the knot instead of untying it. The speaker frames this as a characteristically brash solution from a young conqueror eager to outdo his more cautious father, Philip of Macedon.

2026-07-14 · open the original ↗

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2026-07-14 · open the original ↗

• Small unified-memory devices can hold bigger models than desktop GPUs. DeCarlo says the desktop card he saw has 32 GB of VRAM and costs "a couple grand", so 128 GB takes four of them, while his hamburger-sized Nvidia Jetson Orin, about 4 years old, has 128 GB shared by CPU and GPU. The catch is ARM and Nvidia Tegra, where porting accelerated libraries was tribal knowledge he used to get from friends at Nvidia.
• An agent solved in 20 minutes what defeated him for two weeks. Porting Whisper to the Jetson, the agent built the Docker image, then proved it worked: after a sine-wave test returned nothing, it generated speech with another open-source tool, checked all three Whisper variants, and verified GPU acceleration. DeCarlo calls this "the difference between confidence and proof", available to technologists because code can be tested; Giard says it is what a human would do, only faster.
• He used a multi-agent setup to extend an Alan Parsons concept album. With OpenClaw he ported an open audio-generation model to the Jetson and set Poe poems missing from Tales of Mystery and Imagination, such as Annabel Lee, to music, using a researcher-lyricist agent, a generator agent and talent-show-style judge agents. His former Tool tribute-band mates say it is not real music; he compares that to nobody telling a vibe coder they did not write the code, and Giard adds that AI use should be disclosed.
• Remixing what you love can restore the joy of first hearing it. He regenerated the soundtrack of an obscure 1990s Japan-only spaceship game as jazz-funk and reassembled the game with it, and says an audience of one is enough to justify the project. Giard adds that stripping out stems to learn parts shows AI can make people smarter.
• Start by getting tokens and asking until it breaks. His advice to newcomers is to decide what to create, push the AI toward it and see where it fails, because "we actually don't know where that wall is yet"; he says he does not put full faith in its answers.

2026-07-14 · open the original ↗

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2026-07-14 · open the original ↗

• Clear English is the programming language of the future. The speaker, who calls themselves an AI seller with a humanistic test (if the tool doesn't make humans talk more and better, stop), told a company asking what to teach young people: English. Being clear, crisp, persuasive and credible is what matters, whether called prompt engineering, "which I still don't think is a thing", or good communication; the other speaker adds that content creation and writing are not the same thing.

2026-07-13 · open the original ↗

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2026-07-13 · open the original ↗

• Likeability is a hiring factor he weighs alongside credentials. He says many hire on quantifiable things alone — school, last job, last salary, interview answers — but won't hire someone he doesn't think the team will like, arguing it's what builds low turnover and a culture people want to work in.

2026-07-13 · open the original ↗

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2026-07-13 · open the original ↗

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2026-07-13 · open the original ↗

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2026-07-12 · open the original ↗

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2026-07-12 · open the original ↗

• The world's straits are converting into toll bridges, and the legal wording is the tell. He points to the distinction between a prohibited toll and a permitted "fee" — and notes that "fee" is precisely the word Iran uses for Hormuz transit and the word Washington uses for Panama. His framing is deliberately symmetrical: "we just stole the Panama Canal with paper, not with a gun," and we charge for passage too. He treats the MOU-versus-peace-treaty distinction as irrelevant, citing Korea since 1953 — what matters is that the fact on the ground is Iranian control of Hormuz.
• Pipelines cannot undo the dependence, because the economics of sea transport are not close. Roughly 96% of oil moves by sea at about 2 cents per ton-mile, against 50–75 cents for pipelines, roughly ten times ship cost for rail, and truck viable only for the final mile. So the pipeline projects now being built to bypass the Gulf change the routing at the margin without changing the structural reliance on chokepoints. On relative importance: Hormuz carries about 20% of liquid petroleum and a fifth of LNG, while Bab al-Mandab is smaller in oil terms at roughly 4.2 mb/d, about 5%, but handles around 40% of bulk cargo and 13% of container traffic.
• His standing forecast is that most or all major chokepoints end up in private or local hands within five to ten years, and the count is already moving. Of twelve major global chokepoints, three are already affected — Hormuz, Bab al-Mandab and Panama — with the Strait of Malacca the likely fourth, where Indonesian and Malaysian legislators have already proposed transit fees. He notes this is two years into a transition he expects to run another twenty-five. He also reads sanctions relief as the actual Iranian objective in the MOU, pointing out the first item agreed was sixty days without sanctions.

2026-07-11 · open the original ↗

• The Fed's minutes, Congressional report and new task-force announcement all pointed to an institution being reinvigorated under Chair Warsh. The task forces' broad, respected membership should ease both internal and external buy-in for reforms, even as Amazon's new debt issue saw a lackluster opening — a signal, alongside a wild week for Korean tech names, that funding conditions for the sector may be tightening.
• China's inflation data showed a widening gap between consumer and producer prices even as Korean chipmaker Hynix's US listing surged. Annual CPI came in at 1.0% while PPI rose over 4% (though PPI fell 0.3% on the month), underscoring deflationary domestic pressure, while Hynix jumped 13% on its US trading debut after raising $26 billion, fueling speculation more Korean firms will follow.
• The week ahead tests whether the disinflation trend holds via US CPI, PPI and retail sales without signaling a deeper slowdown. Consensus looks for headline CPI at 3.8% (down from 4.2%) and core at 2.9% (unchanged), softer PPI across most measures, and retail sales moderating to 0.3% from May's 0.9%, alongside a heavy bank earnings slate led by JPMorgan, Bank of America and Citigroup.

2026-07-10 · open the original ↗

• He expects Putin to fall soon as Ukraine pushes Russia out. The piece opens on the report that Ukrainian drones hit 35 Russian ships in the Sea of Azov over 4 days, meeting nothing that stopped them. He calls Putin the biggest dictator of his generation and says he will celebrate the day it happens.
• He blames Russia's failure on corruption, and draws a domestic parallel. His reading is that a powerful nation run by a strongman cannot beat a much smaller opponent because corruption wasted its resources, which he calls "eerily familiar." He adds that Putin's fall will be a horrible day for MAGA, which he says loves him.

2026-07-10 · open the original ↗

• Starlink replaced a dead dish with its rare Gen 3 Performance Dish. The lake house's backup WAN, an older-generation High Performance dish, died about six months before the video, stuck pointing straight up with no signal and not fixed by power cycling. Starlink judged it dead and sent the Gen 3 Performance Dish free of charge, about four years after the owner bought the original. The host calls that "not a bad RMA".
• The dish targets boats, businesses and remote sites, not homes. Starlink rates it at about 470 Mbps down and just under 50 Mbps up for now, and says gigabit download is coming later this year through a plan update with no new hardware. It costs around $2,000. The all-metal case is rated to sit under a meter of water for half an hour.
• The host sees fixed phased-array steering as more reliable. He explains that the dish steers its signal in software across a 140° slice of sky instead of being aimed by a motor, and is mounted at a fixed angle. He thinks losing the servo means one less part to fail, and he rates the casing and pole-mount engineering a clear step up from the Gen 1 dish.
• Swapping in the Gen 3 dish needs a new cable and pole mount. The dish end uses a proprietary click-lock connector that looks almost like XLR, so an older dish's cable cannot be reused; the crew had to pull a new one through the conduit. The new mount sits on top of the pole rather than inside the old roughly 4-inch mount, so they reused part of the old mount and drilled through it to stop it twisting.
• The power supply is not a router. It takes AC or DC input, which the host says suits RVs and ships, and has two Ethernet ports: one to the dish and one to a third-party or Starlink router. It has no Wi-Fi. In a temporary test on the dock, feeding UniFi as WAN 2, it reached about 250 Mbps down and 30–40 Mbps up before final mounting.

2026-07-10 · open the original ↗

• The allocation case for Japan is made by elimination, not enthusiasm. Big money has four destinations — Europe, the US, Japan, China — and moves on multi-year horizons. He rules out Europe because the EU, euro and NATO all face unresolved questions inside three years, and China as the Hotel California where capital enters but cannot leave. That leaves the US, where most global investment already sits, and Japan, whose problems he states plainly: debt somewhere between 210% and 260%, high inflation, low rates, and tax cuts on top.
• Forced repatriation of pension capital is the mechanism he has been forecasting for two years and now sees arriving. His standing prediction is that every country builds sovereign funds and legislates its pension money home. Japan's finance minister is now pushing exactly that, and the Government Pension Investment Fund holds roughly $1.8T mostly invested overseas — so a directed 10%, 30% or 50% repatriation is hundreds of billions to a trillion dollars, entirely separate from the $1.1–1.4T of Treasuries the Japanese government holds directly.
• PIMCO's stated 3% trigger is the tell that institutional buyers are already positioned to move. PIMCO is eyeing long JGBs at a 3% yield and favours the ultra-long end on the view that an unusually steep curve mean-reverts, noting Japan's debt ratio is trending down on higher nominal growth with the primary balance near equilibrium. The 30-year sits at 3.936% and the 40-year at 3.944% — ten more years of risk for less yield — while the 10-year is just under 3%. Against that, hedge funds are short the yen near 2008 extremes. His conclusion: the carry trade is an artifact of the prior era, its unwind is a matter of how rather than whether, and the yen goes considerably higher as big money treats it as the safe haven.

2026-07-10 · open the original ↗

• Gravity is curved spacetime, not a force. Einstein's "happiest thought" (1907) treated gravity as an inertial force like centrifugal force — licensed only because gravitational mass and inertial mass are identical, a coincidence verified to one part in 1,000 in Newton's day and now confirmed to one part in 10^15.
• A black hole is the only 100%-efficient power plant physics allows. Chemical rockets convert only about 10⁻¹⁰ of rest-mass energy to usable energy and fission/fusion about 10⁻³ to 10⁻², but slowly lowering mass to a black hole's event horizon and releasing it extracts essentially all of its mc², since the extractable fraction is 1−√(1−2GM/rc²), which approaches 1 at the horizon.
• A distant observer never actually sees anything cross an event horizon. Infalling matter's light redshifts and its clock appears to freeze as it nears the horizon, fading to invisibility rather than visibly crossing; from the infalling observer's own frame the crossing feels unremarkable, and for a sufficiently large black hole tidal forces are gentle enough that one could in principle live an entire life beyond the horizon before reaching the singularity.
• Brown and Patel diverge on how far pure reasoning can take AI in physics. Brown calls general relativity an extreme case, reachable from just the finite speed of light, Lorentz symmetry, and the equivalence principle, and speculates that many parallel LLMs exploring that small space of options got "very, very lucky" it worked once for Einstein; on whether humans could still follow superhuman AI-derived physics, he argues against Terry Tao's "indigestion" worry (billion-line, inscrutable machine proofs) that LLMs are likely to be superhuman explainers too, citing a recent AI disproof of the unit distance conjecture that mathematicians found comprehensible.

2026-07-10 · open the original ↗

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2026-07-10 · open the original ↗

• She designs almost entirely by voice, using a YC tool called Aqua. YC's head of design says she thinks much faster than she types, so she talks to her computer in a stream of consciousness to describe features, largely living inside a coding tool alongside Claude to build full projects end to end.
• Disposable, self-built tools are becoming a core design habit. For the Paxel project she asked Claude to implement a paper.design dithering shader, then built herself a throwaway modal to fine-tune its parameters exactly to her liking before discarding the tool once the feel was right — a pattern she says she now reaches for constantly.
• A soul.md file built from meeting transcripts became the source of truth. For the Sodazine zine project she dumped every meeting recording and a written manifesto into one file and fed it to Claude; the agent then organically surfaced details she never explicitly asked for, like the exact launch-party date and an interactive San Francisco map, because that context lived in the file.
• Feeding Claude a Pinterest mood board let her one-shot 16 website concepts. Rather than designing herself first, she gave Claude visual references and content and asked it to generate 16 distinct website iterations, then built a simple internal tool to bookmark and compare favorites — treating the exploration itself, not the output, as disposable.

2026-07-10 · open the original ↗

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2026-07-10 · open the original ↗

• AI has removed capital, headcount and skill as startup bottlenecks. The host summarises Anthropic's 35-page Founders Playbook, released in mid-May a day after Claude for Small Business, which casts the founder as an "orchestrator of agents" whose scarce resource is deciding what to build. He grants critics' point that it is partly a manifesto for Anthropic's products, but says its advice is disciplined and often tells founders to slow down, against Anthropic's own interest.
• Building a prototype is not validating an idea. The playbook cites 42% of startups failing for lack of demand even before agentic coding and expects worse now; it prescribes a testable problem statement naming who suffers, how often and how badly, an AI told explicitly to argue against the idea and each tier of competitor, and interviews about the specific past rather than hypothetical use. Only then should a founder build the single core interaction and show it to five target users.
• Agentic coding creates compounding technical debt without written architecture. Because each AI session re-derives foundational decisions, the playbook says to document architecture, dependencies to avoid and accepted trade-offs up front, in a CLAUDE.md or equivalent, and to log decisions at the end of each session. It also warns that launch energy mimics traction, so retention targets should be set before launch and tested against the Sean Ellis 40% "very disappointed" bar, and that AI-written code needs a security review before any user touches it.
• At launch, the founder becomes the bottleneck. The playbook's fix is to sort everything the founder handles into what can be automated, what needs a human other than the founder, and what truly needs founder judgment, while auditing the MVP's architectural debt and treating security and compliance as no longer deferrable.
• At scale, the moat is accumulated depth an incumbent cannot copy. Its test is whether users would stay if a well-funded incumbent cloned the product; the answer it proposes is domain expertise encoded in edge-case tests, compounding user data and workflow lock-in. The host's own reading is that this is lean-startup discipline for an era when execution is cheap and judgment is scarce.

2026-07-10 · open the original ↗

• Transformer models have not yet hit a scaling wall. DeCarlo traces modern agentic AI to the 2017 Google paper "Attention Is All You Need" and relays Sergey Brin's point that the expected limit never came: more data, parameters and compute keep producing better models, which he says explains plans such as Meta's data center "half the size of Manhattan".
• Agents run on GPUs because games made GPUs good at matrix math. He explains a neural network as a weighted graph that reduces to matrices, and an agent's observe–reason–plan–act–reflect loop as many repeated inference passes, so video-game hardware ended up driving AI's hardware side.
• He argues creativity scales with compute, an emergent property of agents. His examples are people whose ideas outrun their skills: a man who made a Pixar-style trailer to propose, sites like meshy.ai that turn a photo into a printable 3D model, and a trained sculptor at his antique mall selling mash-up figures. Giard counters the "AI makes us lazy" charge with calculators and writing; DeCarlo's version of the payoff is the freed time and head space.
• One non-developer with ChatGPT revived a dead smart-bulb ecosystem. When Sengled bulbs stopped working in early 2025, a Reddit user who told DeCarlo he was a program manager, not a developer, used ChatGPT chats and others' protocol reverse-engineering to build custom ESP8266 firmware plus a loader shim. DeCarlo calls it one person doing "arguably the work of an organization", and says the key skill was knowing how to ask.
• Agents work best with a human in the loop, not fully autonomous. Extending that fix for new-in-box bulbs bought for about $3 a pair on eBay, DeCarlo's Copilot agent had him flip a light switch five times and make about 10 trips upstairs to test each attempt, and suggested Ethernet when joining the bulb's Wi-Fi cut its own connection. He says problems that once followed him on dog walks and into the shower now get solved, leaving him less distracted.

2026-07-09 · open the original ↗

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2026-07-09 · open the original ↗

• Skills, agents and hooks turn a confident intern into a reliable worker. The presenter treats Claude Code as a new hire. A skill is the playbook, a plain-English file defining how a task is done; an agent is a teammate you delegate to, with its own persona and context; a hook is a rule enforced deterministically at a trigger point. Answering an attendee, the presenter calls the whole package in a folder (skills, agents, hooks, helpers, instructions) the "harness".
• Use hooks for what must happen, not for everything. The host adds that a skill's main failure mode is not firing, especially in a large system or with an overgrown CLAUDE.md, so a must-run task belongs in a hook. Hooks lose the model's judgment about when to act, though, so not everything should be one. The host's own use ties hooks to evals through traceability: every Snowflake query call triggers a hook that logs the SQL, a timestamp, an ID and the question's context.
• A skill and a critic agent produced and stress-tested the weekly report. In Claude Code Desktop on a fictional coffee-subscription app's data, /weekly-review followed a skill requiring a TL;DR, the one number that moved, one risk, one action, under 250 words, numbers only, and percentages to one decimal. The report traced a double-digit week-over-week drop to two days when paid social reported almost no activity. After the presenter edited the skill to open with a status light, the rerun rated it yellow. An "exec reviewer" agent playing a VP of growth then returned three likely questions, including whether the signups were "lost or just miscounted" and why organic peaked on those same days.
• A data-integrity hook refused to ship a report on broken data. The presenter changed one value from 772 to 900 so that activations exceeded signups. A Python hook checking for duplicate date-channel rows, activations above signups, and negative or malformed values then blocked the report from being written, with no prompt telling it to run. The presenter also points to the lab's open-source "AI analyst" repo as the fuller version of this harness, taking a business question to a deck or one-pager.
• Every analysis is a bet, and AI improves all three terms. The presenter's formula is impact = number of bets × hit rate × size of the win. On their account, the system gives more shots (the Monday hour becomes about five minutes), a higher hit rate through deeper slicing, and room for "venture bets" that were once too costly to take.

2026-07-09 · open the original ↗

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2026-07-09 · open the original ↗

• He describes childhood abuse — burned, beaten, threatened — for being white. He says that had he stayed in that town without traveling, he believes he might have grown up racist himself.
• Traveling from age 18 showed him the reverse dynamic elsewhere. He saw Black, Hispanic and other non-white people treated as lesser in other places, a contrast he says is what first made him understand the concept of white privilege — including moments like police singling him out as the "safe" person to address at a mixed-race gathering.
• He argues prejudice is universal, exploited by elites to divide people. His conclusion — presented as his own opinion, not reported fact — is that recognizing shared humanity across race and religion is what would let ordinary people build a "powerful force" against that manipulation.

2026-07-09 · open the original ↗

• He says he was harassed, robbed, or attacked almost daily from age 9 to 18. Growing up as a white kid in a mostly Black and Hispanic neighborhood, he describes burn marks from matches and being beaten and threatened, despite trying to signal sympathy and citing his own immigrant family (father arrived in 1960, mother's family around 1905-1906) as having no tie to slavery or oppression.
• A growth spurt around age 14-15 shifted him from fear to anger, he says. Reaching 6'3" and 200 lb, he stopped being scared and became confrontational, developing what he calls a charge against anyone displaying "thuggish," aggressive mannerisms regardless of race.
• He rejects the concept of "white privilege" as applied to his own upbringing. He says he would have refused to write about it for college essays given his experience of abuse, and credits later travel and curiosity, rather than his hometown environment, with keeping him from becoming racist.

2026-07-09 · open the original ↗

• A grid of users by day reveals patterns that aggregate metrics hide. He calls this a "dot plot": one row per user, one column per day, with a dot marking each day they performed a chosen value event. DAU/MAU graphs lump everyone together and can look like healthy growth even when individual users aren't getting value, whereas the grid surfaces patterns like distinct weekday-only and weekend-only usage cohorts.
• He traces the idea partly to a PayPal fraud-detection technique. In PayPal's early days, humans stared at visualized transaction graphs and could spot anomalous patterns worth investigating even without knowing what fraud looked like in advance, from Max Levchin — the same principle, he says, applies to spotting product problems in dot plots.
• A real YC example shows dot plots predicting churn before it happens. A company sold an $80,000-a-year, ten-seat contract, but a dot plot would have shown only three seats ever activated with sporadic use; the internal champion later left, the incoming employee canceled at renewal, and the warning was visible in usage data the founders never looked at that way.
• The two biggest misuses: wrong event, too coarse a time period. He warns against populating dot plots with vanity events like "opened the app," recommending true value events like sharing a photo or processing an invoice instead, and against using weekly rather than daily or sub-daily time buckets, which he says hides most of the signal.

2026-07-09 · open the original ↗

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2026-07-08 · open the original ↗

• One question separates the two systems: who decides what gets built, and whose balance sheet carries the risk. The US runs demand-pull — private firms build to expected return, raise the money in capital markets, and the risk lands on bondholders, private credit and insurance funds. China runs supply-push — the centre sets a priority, planners direct where capacity goes, state credit and SOE balance sheets fund it ahead of demand, and the risk lands on local-government debt and idle capacity.
• The financing structures are mirror images, and both have visible failure modes. In the US a third-party developer builds, an SPV owns, the hyperscaler signs a long-term lease and the SPV carries the construction debt — Meta's Louisiana campus is the template at roughly $27–29B, with Meta holding operational control but about 20% equity and none of the debt, while the largest operators plan $600B+ of 2026 capex funded increasingly by private credit. China's mirror shows the supply-push failure mode: roughly $295B over five years of SOE-led computing hubs built ahead of demand, much of it now running at 20–30% load, with the correction itself state-directed as the planning agency began requiring purchase agreements and minimum utilization.
• The DeepSeek rollout is the same supply-push logic applied to software, and notably it was not a mandate. R1 shipped on 20 January 2025 with open weights and no central install order, yet reached 70+ local governments and dozens of SOEs within weeks through reinforcing channels: open weights removing the cost and control barrier, political endorsement via the Xi symposium making adoption a loyalty signal, SASAC steering roughly 20 central SOEs across energy, telecom, auto, finance and construction, state telecoms and clouds distributing it on Huawei Ascend hardware to ease the chip constraint, and a provincial cascade — Shenzhen's Longgang district live on 8 February, Futian running 70 "AI employees" across ~240 administrative scenarios, Beijing's "AI civil servant" on 4 March. The framework note is that China does not run a market Bankrupt–Consolidate phase; the state absorbs the overbuild instead.

2026-07-08 · open the original ↗

• His answer to "China just subsidizes" is that the difference is competitive structure, not money. China has over 400 models and 104 car companies; the US has roughly six and three. Because the state builds the infrastructure first, an entrant needs only the intellectual property and a province willing to back it, then plugs into capacity that already exists — so provinces back three or four competitors each and the internal competition is, in his word, fierce. The US concentrates in the hands of a few, and he argues an oligarch system would never permit that many entrants.
• Comparisons of national debt are misleading because the Chinese liability sits at the regional level. Quoting China's federal debt is like quoting US Treasury debt while ignoring New York, Illinois and Texas. The provinces carry the vast majority of the funding, which is precisely where the supply-push risk accumulates as local-government debt and idle capacity.
• The integration is the advantage he thinks decides it, and he states his conclusion as opinion. Twenty central SOEs spanning energy, telecom, auto, finance and construction running the same frontier model, interconnected across the industrial base, is a structural position the US has no equivalent of. He notes in passing that the US government taking equity in AI firms while the data centres are financed by private-credit bonds protects the equity and leaves bondholders exposed. He said when DeepSeek first launched that the US had already lost the AI race, and says months later he is now fairly sure of it.

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2026-07-08 · open the original ↗

• Gusto Co-Founder automates small-business processes end-to-end, from payroll to weather alerts. Eddie Kim, Gusto's co-founder and head of technology, says it goes beyond Gusto's existing payroll and HR tools by executing full workflows unprompted — approving timesheets, running payroll, or texting a tour operator's customers to bring an umbrella if rain is forecast — reachable entirely through SMS and Slack.
• The idea came from Kim's own always-on personal AI agent at home. After spending eight hours setting one up on a Mac mini, he found himself using it mainly as "a glorified search engine" until a missed flight left him five hours to prototype in Claude Code, convincing him Gusto's customers should get the same agentic power instead of waiting on Gusto's product roadmap.
• He deliberately avoided a fully non-deterministic design for tasks like payroll. Modeled initially on an open-source agent's cron job that reruns an LLM every 30 minutes, Gusto Co-Founder now also supports scheduled, deterministic triggers, because Kim found a purely heartbeat-driven agent couldn't guarantee exactly when a critical task like payroll would run.
• Five people built the whole product in ten weeks with no docs. The team ran a single 24/7 Zoom call, wrote pull requests before discussing ideas, and threw away roughly half the code they wrote — a process Kim says was faster than writing PRDs, because implementing an idea surfaces more information than describing it ever could.

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2026-07-07 · open the original ↗

• The fact-check corrects a conflation of two different actors, and the correction changes the story. Asked whether ASML is moving away from the US mandate, the answer on the evidence is no. ASML the company defends its compliance rather than defecting — it denies the alleged EUV shipment, an allegation Washington has not evidenced publicly, and its own logic is that risking the ban over one illegal sale would forfeit both the monopoly and about 20% of 2026 revenue. The Netherlands as a state is the one pushing back, lobbying against expansion of the curbs while remaining inside the alliance. Verified revenue context: China was roughly 33% of ASML's 2025 sales, guided to about 20% for 2026, with the Q1 2026 share already down to 19%.
• The base case is that the Netherlands stays in Pax Silica while the membership hollows out. The pact is a non-binding declaration of intent with no joint funding and no mandates, which the EU joined only after the Commission confirmed it would not interfere with internal decision-making. That makes membership cheap to hold and costly to abandon, since exit forfeits the exact reliable-partner posture the signature was bought to project. So the formal membership is retained while substantive cooperation degrades into minimal compliance, foot-dragging, sovereignty invocations, Brussels-routed resistance and servicing brinkmanship — with explicit falsifiable markers offered for the rupture and full-compliance branches too.
• The leverage matrix explains why refusal is not available to The Hague. ASML's DUV tools contain US-origin technology, so the Foreign Direct Product Rule lets Washington restrict them extraterritorially regardless of Dutch consent, and the MATCH Act's 150-day window forces allied tightening or triggers unilateral action. The Dutch counter-levers are real but blunt: halting maintenance on installed machines in China could stall a large slice of global chip production — the Nexperia block showed how fast shortages arrive — and EU coordination converts a bilateral squeeze into a bloc-level negotiation. Net, the US holds the harder cards, which is exactly why the rational Dutch play is to stay inside the tent and fight from within.

2026-07-07 · open the original ↗

• The MATCH Act converts export control into allied compliance machinery. Multilateral Alignment of Technology Controls on Hardware requires US agencies to identify chokepoint technologies and push allies to adopt matching restrictions inside a set window — 150 days — after which Washington can extend its own controls to foreign-made equipment that relies on US technology. The escalation against ASML now runs past the 2019 EUV ban to the older DUV machines, and to prohibiting ASML from servicing and maintaining the tools already installed.
• Cymer is the lever, and Nexperia is the precedent for what happens next. Cymer is wholly owned by ASML but sits in the United States, so Washington can threaten to withhold parts from a subsidiary ASML owns outright — which is why the Dutch cannot simply refuse. The counter-lever has already been demonstrated: when the US forced the Dutch move on Nexperia, China cut off chip supply and within a month automakers worldwide were near shutdown, forcing a reversal. Halting service on machines inside China would invite the same class of response at larger scale.
• His read is that jurisdictional overreach fragments the stack rather than controlling it. Europe has no frontier models of its own, so if forced to choose he expects European firms to adopt free Chinese models rather than fund the data centres and power needed to build their own — which is the opposite of the intended effect. He puts the revenue cost to ASML of full compliance at roughly a third, argues sanctions rarely stop anything and usually accelerate self-reliance, and asks pointedly why the US no longer wants to compete on the merits. He is openly scathing about the architects, noting Navarro's book cited an economist, Ron Vara, who turned out to be an anagram of his own name.

2026-07-07 · open the original ↗

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2026-07-07 · open the original ↗

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2026-07-07 · open the original ↗

• Extreme power concentration is AI's most neglected risk. Todd estimates 100,000 to a million people speed up AI capabilities and about 1,000 work on technical alignment, but perhaps only 20 researchers specialise in AI-enabled power concentration. If recursive self-improvement delivers what some models suggest, three to 10 years of progress in under a year, growth turns super-exponential and leaders' leads widen, so one company could control a workforce of 200 million digital workers or one country could dominate; AI also makes universal surveillance possible.
• Even aligned AI could gradually disempower humans. In this scenario, newer on 80,000 Hours' list, normal economic competition makes humans expensive relative to data centres, and states come to resemble oil states that need no workforce, removing the strike as a check on government. Todd's hoped-for saving grace is that almost all accessible matter and energy is in space.
• Whether alignment is easier than feared remains undetermined. Todd says LLMs, unlike earlier game-playing RL agents, understand human values, but whether they act on them is untested because agents cannot yet plan over months or exceed humans; he cites Meta research showing reward hacking grows with problem difficulty. He ranks climate change ninth because AGI may arrive around 2030 while most climate damage comes in 50 to 100 years, a richer world could decarbonise more cheaply, and it cannot end civilisation.
• There is no solid ground, only a moving bottleneck. Todd's career advice is to keep moving to whatever humans can still do that AI cannot, whose value rises as AI improves; once a digital remote worker exists, he says, it becomes superhuman almost at once by running about 50 times faster and sharing learning across copies, leaving legal, physical and "relational" work. He sketches converting car factories to robots at roughly a billion a year by mass, and from his book repeats that following existing passions misleads, since 90% of Canadian students' passions were sport, art and music against 3% of jobs.
• AI engineers now have unusual leverage on these risks. Todd says alignment has turned empirical and is bottlenecked by engineers to run monitoring, red-teaming and interpretability work, with MATS and ARENA as three-month routes in; policy teams need data scientists on labour impacts, and builders can work on wastewater pandemic surveillance. As a lower bound, he says a big-tech data scientist donating could save tens of lives a year at $3,000 to $4,000 each against malaria.

2026-07-07 · open the original ↗

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2026-07-07 · open the original ↗

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2026-07-06 · open the original ↗

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