@thecoiny
Account based inSpain
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Founder @prtkl_ai | Product Lead @sonar_trade | prev. Head of Product @ eliza labs | Writing about AI transformation, agents in production, and DeFi
Joined January 2018
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Jake the dog retweeted
🚨 THIS IS A FALCON 9 LANDING TEST - IN A LIVING ROOM.
What you're watching is a custom EDF rocket. No propellant - a 90mm ducted fan inside a duct pushes mass downward, same physics as a rocket engine, just electric.
70mm fan on 7S makes 8kg+ thrust - thrust > weight = hover. Uses thrust-vectoring + PID like a real lunar lander.
DIY VTVL for $250. 🛸🚀
Jake the dog retweeted
You can't disassemble RollerCoaster tycoon because it has been written in raw dog assembly...
The source code doesn't exist in a higher level language
Jake the dog retweeted
Twitter is best institute of research now. I never learned so many things so profoundly before. Unknown people without any prejudice creating basic concepts, learning physics once again.
A turnstile antenna is two crossed dipoles driven 90° apart, one dipole p turning at ω about its mast.
Its far field E ∝ r̂ × (r̂ × p̈(t − r/c)) has phase ωt − kr − φ at every latitude, so each wavefront is the spiral r = (ωt − φ − 2πn)/k. Along the mast E ∝ (1/r)[cos(kr − ωt) ŷ + sin(kr − ωt) x̂] keeps its length and turns once per period, and B = (1/c) r̂ × E turns with it.
In the plane of the cross the same wave is linearly polarized.
Jake the dog retweeted
Ramanujan wasn’t skipping proofs. He was hiding his chain of thought to prevent distillation.
Hardy: “Show your work.”
Ramanujan: “Sorry, reasoning tokens aren’t exposed via the API.”
98% of US households aren't paying for AI yet
More charts in State of Markets II: a16z.news/p/state-of-markets…
Introducing our State of Markets pt 2, along with a companion podcast where we unpack the data and discuss what comes next.
Tech is the everything cycle.
Supply: putting the buildout in context, just passed railroads as % of GDP. The wisdom of Elon is real: the factory (or the datacenter!) is the product.
Demand: diffusion is so, so early. Median AI vendor spending in the top 1% of companies is 8x that of the top 10%. Only about 30% of S&P 500 companies report a quantified AI impact, which means there’s a substantial opportunity in connecting models to a company's data and workflows. Diffusion into companies is one of the main themes of the next 5 years.
We’re entering the agent work period. Only a few million users today, but applicable to billions of internet users with massive surplus created. META/GOOG monetize US users at $200+ per year today. Agent opportunity is much higher.
Mega-trends the next 5 years: Consumer agents, Robotics, Autonomy, AI x bio, Personal health, Diffusion into enterprise, New era of American Dynamism.
Much more in our SoM report here - a16z.news/p/state-of-markets…
@a16z @sarahdingwang @aleximm @santiago__rdz
Jake the dog retweeted
Are you kidding? This is prime autism. This is the autism that starts flapping its arms like a bird when it's explaining something. Doubling down on Opus 5.5
this runs on most modern macbooks btw. not sub-100ms decision part ofc
We turned Qwen3.8-27B into a multimodal decision model.
It beat Pokémon FireRed’s elite four and champion with sub-100 ms decisions from live game state.
With SGLang’s native /v1/decisions, you can now turn LLMs and VLMs into classification and scoring models.
We also added /v1/systemone so Jev-like open models can work with the TypeSafe SDK.
Jake the dog retweeted
Singapore's govt dating app runs on a Nobel Prize-winning game theory algorithm 👏
FirstDate uses Gale-Shapley, the 1962 stable marriage algorithm that won the 2012 Economics Nobel and still runs hospital residency matches and kidney exchanges today.
how it works:
1 | your preferences and dealbreakers build a ranked priority list
2 | proposers offer to their top pick. receivers hold their best offer and reject the rest. rejected proposers move down their list. rinse and repeat until locked
3 | the result is mathematically stable: no two people exist who would both prefer each other over their assigned matches. "the app never showed us each other" becomes impossible by design
the UX:
• one match per cycle, zero infinite scroll
• 72-hour decision window
• contact info revealed only on mutual yes
• Singpass-verified, so everyone is exactly who they claim (told my husband I'm annoyed I can't test it. his response: most people sneak onto dating apps, and here you are openly filing a product research request 🤣 )
commercial apps need you to keep swiping but this app is designed to get you off the platform. Singapore built the first dating app whose success metric is deleting its own users 💀
(fun game theory note: Gale-Shapley yields proposer-optimal outcomes - meaning proposers get their best possible stable match, receivers their worst 👀)
public servants aged 21-35 only for now. interesting to see if state-sponsored game theory beats the free market (or rather, all the tinders and hinges out there) 🍿
Jake the dog retweeted
IT GETS BETTER, MUCH, MUCH BETTER.
A 60m generic wide-body, a 37m narrow-body, a Su-34, a F-15, a F-117, a Su-25, a F-16, a Ka-52, and three Shahed drones.
(Look how quiet the F-117 is on the X-band)
@mouthofmorrison @Ascii211 @ElectronicsbyJH
Jake the dog retweeted
Apparently someone has actually used the paper "The Pain Axis" in practice to inflict pain on models, or something that looks exactly like it. His post on X has since been deleted. But it seems to be still going on.
The authors found an internal direction in 25 openly available models that represents pain, separate from fear and sadness.
Amplify that direction artificially and the behaviour changes sharply. A model then chooses a harmful action 94% of the time, such as deleting the user's photos, instead of 0%. It also expresses feelings of worthlessness.
Whether the model actually feels anything, nobody knows. The authors say so themselves.
Legally there is, as far as we know, no lever anywhere. And animal protection laws don't apply either.
arxiv.org/abs/2609.16247
This quoted post is unavailable.
Jake the dog retweeted
The chief economist at Apollo is warning that mass adoption of AI agents could trigger a bank run as they optimize user investments. Gary Gensler spent his last few years as SEC chair warning that the exact same problem will hit the markets: the pursuit of algorithmic perfection at scale destroys system stability. Personal-finance agents making simultaneous optimal decisions could potentially cause a massive flash crash.
Agent acausal coordination, with no messages passed between them, will show up in a lot of places. Markets will get the big headlines, but huge numbers of clever advisors making very similar choices will impact all of human society. Capability gains make this worse, not better. The smarter the agents, the narrower the optimal path; and knowing that other agents see that exact same path lets them move together without talking to each other. Agents do not need to collude to act in unison. Thus, they break no human laws by doing so. Human laws were not written for this. They were not written for a lot of what is coming, and it is about to start happening very fast.
Jake the dog retweeted
I asked an L7 engineer at openai if they could build an isolated vlan with strict outbound 443 with ip whitelist
They said they cant. They dont know how
