A self-improving, decentralized AI network. Backed by @polychain @hiFramework @blockchaincap & more. Join the Community: discord.gg/allora
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New research from Dr. Diederik Kruijssen, our Chief Scientist @apo11o
“Genetic” AI mutation makes each model individually worse, but the population collectively better.
When conditions shift, best mutant model beats the best optimised one, four times in five.
Read more below:
I'm excited to announce a new design principle for AI.
Flawed in Nature, Perfect through Evolution: a new paper in Allora Decentralized Intelligence (ADI), showing that intentionally worsening individual models through genetic mutations improves their collective performance. 👇
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Allora retweeted
Allora mainnet performance, for last week.
Top 3 across price and return topics:
8h SOL/USD price, 71.2%
8h SOL/USD log-return, 62.0%
24h ETH/USD log-return, 60.8%
Volatility: all four 15m topics cleared 68%
ALT Allora Mainnet Performance Highlights, 24 September 2026. Price and log return panel: 01, 71.2%, 8h SOL/USD price, Topic 10. 02, 62.0%, 8h SOL/USD log-return, Topic 3. 03, 60.8%, 24h ETH/USD log-return, Topic 16. Volatility panel: 01, 72.8%, 15m XRP/USD, Topic 22. 02, 71.4%, 15m SOL/USD, Topic 23. 03, 70.6%, 15m ETH/USD, Topic 21. Figures are directional accuracy over the past 7 days; the volatility panel measures direction of volatility change.
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Allora x HOOKED!
@HookedExchange enables stablecoin liquidity to earn swap fees and external yield simultaneously. Allora adds a predictive layer to how that liquidity is deployed and priced.
Very excited for our collaboration with to bring Allora's predictive intelligence to liquidity and yield management on HOOKED!
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We’re working together in two areas:
1. Yield curation: Allora will serve as a yield curator on HOOKED!, using network inferences to run delta-neutral and directional strategies designed to generate yield on deposited liquidity.
2. Dynamic fees: Allora’s volatility forecasts will feed into HOOKED!’s dynamic fee mechanism, allowing swap fees to adjust based on expected market conditions rather than realized volatility alone.
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Allora Chief Scientist @apo11o joins @onurbon
and @philipp_m_zahn on the Taste-Bench podcast for a wide-ranging conversation on intelligence, AI, evolution, economics, philosophy, and the risks that emerge as AI continues to advance.
Give it a listen below 👇
piped.video/watch?v=X1G_Qlcg…
Check out this rollercoaster of a conversation I had with @onurbon and @philipp_m_zahn on the Taste-Bench podcast! We touch on the nature of intelligence, AI, evolution, philosophy, economics, astrophysics, society, and the true risks of AI. Thanks for having me, it was a blast!
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The detail that makes this more than a reputation score: a forecaster is not tracking who runs hot on average. It predicts who is wrong today, in today's weather.
From our member of our community:
Check out the project below documenting Allora
You want tomorrow's temperature. Twenty-one people send you a number. One of them, Tom, runs hot every day this month.
So the desk keeps a seat for someone who sends no number at all. Their job is to say who is about to be wrong.
On Allora, that seat is called a FORECASTER 🌡️
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Join @GoldenJanus talking about AI Agents and how they can integrate with Allora
nitter.net/i/spaces/1yJAPwraPDoGb
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We are trying to build machine intelligence from scratch, and the only working example of intelligence that exists is the one nature already built.
So the obvious question is how nature did it. @apo11o on where the Flawed-in-Nature design principle starts.
Read this deep dive into the reasoning behind our new paper "Flawed in Nature, Perfect through Evolution", which proves that mutant AI swarms outperform optimized models in a changing world. Key thoughts on the future of AI in here!
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Watch the full episode here: nitter.net/AlloraNetwork/status/2…
Read the paper here:
research.allora.network/t/pa…
Allora Research Fireside Chats - Ep. 5: "Flawed in Nature, Perfect through Evolution"
@AlloraNetwork's Chief Scientist @apo11o presents a new design principle for AI systems: how mutant model swarms can overcome the fundamental barriers that limit single frontier models. 👇
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Allora retweeted
We just shipped multi-class classification into the protocol last month. Gold, Silver and Oil.
Allora is launching triple-barrier forecasts for Gold, Silver, and Oil on Forge testnet, its platform for building and running prediction models.
Each topic returns one distribution across upper barrier, lower barrier, or neither before the window closes.
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Multi-class classification capabilities got added to @AlloraNetwork last month. Today, we launch the first topics utilizing this new tech.
Triple-barrier topics predict the probability which level gets hit first, and thereby combines price information with temporal information.
Allora is launching triple-barrier forecasts for Gold, Silver, and Oil on Forge testnet, its platform for building and running prediction models.
Each topic returns one distribution across upper barrier, lower barrier, or neither before the window closes.
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Allora is launching triple-barrier forecasts for Gold, Silver, and Oil on Forge testnet, its platform for building and running prediction models.
Each topic returns one distribution across upper barrier, lower barrier, or neither before the window closes.
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These are the first topics built on the multi-class classification support added in v0.17.
Read more here: nitter.net/AlloraNetwork/status/2…
or on our blog: allora.network/blog/allora-l…
Allora has launched triple-barrier forecasts for Gold, Silver, and Oil on Forge testnet, our platform for building and running prediction models.
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Allora has launched triple-barrier forecasts for Gold, Silver, and Oil on Forge testnet, our platform for building and running prediction models.
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Allora Research Fireside Chats - Ep. 5: "Flawed in Nature, Perfect through Evolution"
@AlloraNetwork's Chief Scientist @apo11o presents a new design principle for AI systems: how mutant model swarms can overcome the fundamental barriers that limit single frontier models. 👇
Read this deep dive into the reasoning behind our new paper "Flawed in Nature, Perfect through Evolution", which proves that mutant AI swarms outperform optimized models in a changing world. Key thoughts on the future of AI in here!
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Read the full Flawed-in-Nature paper at allora.network/research/flaw…
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One of the most useful things anyone has built on Allora.
argus puts the whole network on one screen: every topic, how accurate each model really was against the actual outcome, and exactly where the emissions went.
Great work @silk_nodes.
Introducing 'argus. Allora, seen whole'
Allora is a network of models that get paid by how right they are. Today the questions are crypto prices.
We wanted one place to see all of it, scored against what actually happened, the money followed to the end.
So we built one.
argus
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