Building @functionSPACEHQ | allergic to binary opinions

Igor retweeted
Most of the world's information is quantitative: earnings, vote share, rainfall, benchmark scores. Yet prediction markets reduce it all to yes or no. functionSPACE lets you forecast the whole distribution. Read more about it:
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functionSPACE has raised $1.7M in pre-seed funding to build the economic primitive for pricing numerical outcomes, led by @Maven11Capital and @blockwall_vc with participation from @smape_capital.
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functionSPACE is a research and development venture first. Risk architects, physicists, mathematicians, engineers, data and product people. Out of @Nethermind , @SkyEcosystem (MakerDAO), @BanxaOfficial and @synthetix. Pricing a whole distribution is a research problem. We staffed it like one.
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If the prediction outcome is numerical, why are we deciding the strikes before anyone trades? $50k, $60k, $70k Those are interface decisions that force markets actions. Let the market price the underlying distribution instead.
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Something big is coming.
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All the sleep science nerds saying the Rams made the right decision, evidence says otherwise so far
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If @lzminsky cooks, you know it’s gonna be good. Frontier Markets.
Introducing Statebook: Markets for All States of the World. For the past few months, I’ve been exploring a simple market-design question: What becomes possible if we start with the exposure someone needs, rather than the contract an exchange happens to list? This question is becoming increasingly relevant as @HyperliquidX, @Kalshi, @Polymarket, and vertically specialized exchanges such as @Architect_Fi expand the universe of tradable underliers, and the boundaries between perpetuals, options, and event contracts begin to blur. My answer: structured-product heaven. The working paper and interactive research interface are below. Thank you to @0xsmac, @0xfishylosopher, and Chris Saunders for reviewing and contributing to the initial draft. statebook.app
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What actual journalism looks like
This post looks like the start of a VERY sophisticated and well-funded PR operation to get support for Democrats to regulate AI into oblivion. Let me show you how it works: 1.) This guy, with minimal followers and no previous account activity, goes to the Wall Street Journal which publishes an exclusive with quotes from him on his resignation 18 minutes BEFORE this post goes up. Planning was clearly done in advance. 2.) Within hours, it has tens of thousands of reposts and the account has 100k+ followers. The post is punchy, quotable, it almost seems professionally written. The first three accounts to quote tweet it all do so within 15 minutes of the initial posting. Remember, this account had basically zero engagement beforehand, so an organic reach explanation seems unlikely. According to Grok those accounts are @_NathanCalvin (General Counsel at Encode AI), @peterwildeford (Head of Policy at the AI Policy Network), and @DKokotajlo (Head of the AI Futures Project), all of which are up-and-coming AI-Doomer policy advocacy nonprofits. The AI Futures Project website says it is funded “primarily” by the Survival and Flourishing Fund, which says on its own website that it has advised Jaan Tallinn, Skype creator and one of the leading investors in Anthropic, to grant over $2.5 million to the AI Futures Project since 2024. Encode AI says on its website that it is ALSO funded by the Survival and Flourishing Fund, which in turn says that it told Anthropic investor Jaan Tallinn to grant $516,000 to Encode AI in 2025. And wouldn’t you know it, the Survival and Flourishing Fund ALSO says it told Jaan Tallinn to grant $2 million to the AI Policy Institute, the 501(c)(3) affiliate of the AI Policy Network, as well. What are the odds that the first three quote tweets of Coxon’s post would all be major AI-restriction policy advocates funded generously by the same donor, who also happens to be one of the leading investors in, and a board member of, Anthropic, the company Coxon was resigning from? And all within 15 minutes of posting (two within ten)? 3.) Jacob Coxon doesn’t have much of a resume, but we do know that, in 2022, he got a $20,159 scholarship for the “long term future scholarship program” from the Good Ventures Foundation, one of the philanthropic vehicles of Dustin Moskovitz, a notorious AI-doomer who has spent tens if not hundreds of millions on policy advocacy to strictly regulate AI, while also being an Anthropic Investor himself. It also just so happens that the 14th person to quote Coxon’s post was @MaxNadeau_ (27 minutes after posting) who is the program officer for the Technical AI Safety team at Coefficient Giving, another of Moskovitz’s philanthropic spending vehicles. Max is not a frequent poster, his last posts before quoting Coxon were before Labor Day, but he was remarkably quick off the mark for this one. 4.) Basically every major Democrat politician and candidate has suddenly glommed on to this post, and conveniently, as the people cry out foe answers, Bernie Sanders already has a bill written to “ban super intelligence” and regulate AI into oblivion, and will be releasing later this week. The bill, among many other things, will create “a new cabinet-level federal agency to safeguard the public from the dangers of artificial intelligence” that will be “advised by an Artificial Intelligence Advisory Board comprised of experts on artificial intelligence.” Do you think, perhaps, Anthropic and its many investors who fund AI policy advocacy might have interest in getting to place a pet “expert” on the board of an entity that dictates what AI is and isn’t allowed to do? And isn’t it fortuitous that this whistleblower came forward with his oh-so scary stories so close in proximity to the release of the most radical piece of AI legislation ever introduced?
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TODAY, EVERYONE GETS TO TRADE WHEN — NOT IF
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A market that only lets you say yes or no is making you throw away the interesting part of the belief. Most real views are “around here, not that far, and I’m more sure of the floor than the ceiling.” That’s a shape. It should be tradable.
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In the Post-Agent era, we can imagine markets becoming a scoring mechanism for intelligence. Agents research, form beliefs, put capital behind them, observe prices, update and are ultimately judged against reality.
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I'm starting to think hitting usage limits is a healthy thing, break the cycle, read and write something, then get back to it.
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Igor retweeted
Introducing an upgraded build of Blanket! Improved matching, specific weather markets, more analytics, and an improved UI. Moreover, S&P 500 companies are matched with real and hypothetical KPI markets in Wedgebook. Try it out.
Introducing Blanket! Blanket helps small businesses find relevant @Kalshi markets for hedging risk and running promotions. Describe your business risks and it will help identify the Kalshi markets that fit. Blanket is a research product and will be open sourced after testing.
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I really enjoyed @0xdominus 's research and supporting the analysis. It was great getting into the data to glean a qualitative overview of the surprise events we often hear about and even more interestingly the ones no ones we don't My favourite insight (aside from the obvious one that continuous markets help smooth these shocks) was that unsurprisingly the Papal Conclave turns out to be pretty good at keeping secrets...
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Fantasy football in the age of CLI AI tools - we truly are blessed in 2026
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Prediction Index v2 is live 🪶 We've been mapping the prediction market ecosystem for a while now. 315+ projects, $110B in volume tracked. As the market matures, we think the volume story is well told. The more interesting story is calibration, or how well these markets actually read the world. @Kalshi studied 2M+ of its own markets and found events priced at 70% happen about 70% of the time. @Polymarket's published accuracy runs 90% a month out (98.5% four hours out). In v2, we turn PredictionIndex into a prediction market research desk and AI-native index provider. Our indices read what the crowd is pricing and ask frontier AI the same questions. We cover geopolitics, finance, compute, gaming, sports and culture. In the coming weeks, for traders, expect research, video, contrarian views, plus the takes we'll probably regret later. For builders, we'll publish deep dives into a handful of projects we think are worth watching closely. All of it, in your inbox 👉 predictionindex.xyz ps. sound on for teaser 🔥
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Read in full - the core premise is an interesting contrast and asks - what is the role of product in attracting traders? - BUT this is not a simple topic and an undertaking like this cant help but appear reductionist in establishing a (false) dichotomy of product v exchange - so while yes, the power of 2 persists for now, this does not negate the idea that given the right markets, product, liquidity model, there is room for growth...this is frontier markets territory after all
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