The solution is actually deceptively simple: use the markets as feedback
Read more: https://blog.alphakek.ai/alive/
β
https://x.com/alphakek/status/1994406280690037141
Read more: https://blog.alphakek.ai/alive/
β
https://x.com/alphakek/status/1994406280690037141
π8π₯7π€3β€2π2
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Welcoming @yaya_labs to the Early Cohort of founders and devs building on ALIVE, the first of many unveils
Yaya Labs is a technology studio at the intersection of humans, AI, and robotics, featured in NYT, CNN, and Reuters
β
https://x.com/alphakek/status/1994828073880162779?s=20
Yaya Labs is a technology studio at the intersection of humans, AI, and robotics, featured in NYT, CNN, and Reuters
β
https://x.com/alphakek/status/1994828073880162779?s=20
π₯16β€6β‘4π3
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VIEW IN TELEGRAM
Countless pixels had to perfectly align in space-time for this Bloky to come ALIVE
Huge thanks to Blokyz for creating a physical Alphakek you can hold and collect
Follow them for more details!
β
https://x.com/alphakek/status/1995527364433089023
Huge thanks to Blokyz for creating a physical Alphakek you can hold and collect
Follow them for more details!
β
https://x.com/alphakek/status/1995527364433089023
π₯9π5π€―4β€1
To create a new AI economy, you need two things: verifiable environments, and decentralised rewards. ALIVE connects both.
β
https://x.com/alphakek/status/1995557221418082559
β
https://x.com/alphakek/status/1995557221418082559
X (formerly Twitter)
Alphakek (@alphakek) on X
To create a new AI economy, you need two things: verifiable environments, and decentralised rewards. ALIVE connects both.
π₯11π3π―3
The reason @a16z is betting big on prediction markets:
We can learn many things from markets (and F.A. Hayek)
>Markets are computers
>Prices are "compressed knowledge"
>Prices incentivize new info into the system
The problem: today's internet is no longer a free market
>Hypercentralized, stagnant, recycled with slop
>Algos optimize for clicks, not truth or innovation
>Big tech monopolizes what you see, learn, buy
Chris Dixon's case for PMs: they're new Information Infrastructure and a first step towards "markets as a source truth"
ALIVE takes this idea to its logical conclusion, for the AI era - markets as superintelligence
But even as PMs hit ATHs in weekly volume, theyβre still limited:
>Markets donβt "learn" from prior bets and insights
>Knowledge doesnβt compound from market to market, no virtuous feedback loop
>Structural mispricing, biases, fragmented liquidity
ALIVE's upcoming Intelligent Prediction Markets Aggregation closes that gap, and goes much further
>The world's first AI protocol that turns PMs into AI training arenas
>Compounds knowledge and capital
>Restructures liquidity incentives
>Continuous learning and market alignment to get better at pricing odds and capturing revenue
Instead of only trading "Will X happen?", ALIVE lets you trade rationales
>You bet on the rationale you think is most correct
>Under the hood, each rationale is a portfolio of many prediction markets
>ALIVE not only records what happened, but learns why it happened
Causal patterns accumulate into compounding knowledge and logic, so mispricings shrink over time and the network intelligence actually increases with each market
If markets already compute truth, then the shortest path to aligned, high-signal AI isnβt more data labelling or scraped content
Itβs letting AI learn directly from market-verified feedback
Unifying AI, markets, and knowledge is the next trillion-dollar opportunity, and Alphakek is building ALIVE at the intersection of all three
Learn more about ALIVE: https://blog.alphakek.ai/alive/
β
https://x.com/alphakek/status/1996304965376364918
We can learn many things from markets (and F.A. Hayek)
>Markets are computers
>Prices are "compressed knowledge"
>Prices incentivize new info into the system
The problem: today's internet is no longer a free market
>Hypercentralized, stagnant, recycled with slop
>Algos optimize for clicks, not truth or innovation
>Big tech monopolizes what you see, learn, buy
Chris Dixon's case for PMs: they're new Information Infrastructure and a first step towards "markets as a source truth"
ALIVE takes this idea to its logical conclusion, for the AI era - markets as superintelligence
But even as PMs hit ATHs in weekly volume, theyβre still limited:
>Markets donβt "learn" from prior bets and insights
>Knowledge doesnβt compound from market to market, no virtuous feedback loop
>Structural mispricing, biases, fragmented liquidity
ALIVE's upcoming Intelligent Prediction Markets Aggregation closes that gap, and goes much further
>The world's first AI protocol that turns PMs into AI training arenas
>Compounds knowledge and capital
>Restructures liquidity incentives
>Continuous learning and market alignment to get better at pricing odds and capturing revenue
Instead of only trading "Will X happen?", ALIVE lets you trade rationales
>You bet on the rationale you think is most correct
>Under the hood, each rationale is a portfolio of many prediction markets
>ALIVE not only records what happened, but learns why it happened
Causal patterns accumulate into compounding knowledge and logic, so mispricings shrink over time and the network intelligence actually increases with each market
If markets already compute truth, then the shortest path to aligned, high-signal AI isnβt more data labelling or scraped content
Itβs letting AI learn directly from market-verified feedback
Unifying AI, markets, and knowledge is the next trillion-dollar opportunity, and Alphakek is building ALIVE at the intersection of all three
Learn more about ALIVE: https://blog.alphakek.ai/alive/
β
https://x.com/alphakek/status/1996304965376364918
AIKEK
Alive: Universal Intelligence for Decentralized Markets and Beyond
Abstract
Training AI is expensive, and most data is low quality. Monetary incentives are broken. Decentralized markets are an exception: when money is at stake, signal is real. Because markets are the ultimate evolutionary training environment for AI.
AIKEKβ¦
Training AI is expensive, and most data is low quality. Monetary incentives are broken. Decentralized markets are an exception: when money is at stake, signal is real. Because markets are the ultimate evolutionary training environment for AI.
AIKEKβ¦
β‘7π―6β4π1
[Thread updated]
Welcoming Yaya Labs to the Early Cohort of founders and devs building on ALIVE, the first of many unveils
Yaya Labs is a technology studio at the intersection of humans, AI, and robotics, featured in NYT, CNN, and Reuters
β
Yaya Labs' Ben Ditto is VICE Magazine's Global Editorial Director
ALIVE will enable Ben to leverage his unique expertise in art, AI, and robotics
Follow Ben & Yaya Labs
β³ https://instagram.com/ben_ditto/
β³ https://instagram.com/yaya_labs_/
β³ https://yayalabs.io
β
Journalist Jake Hanrahan interviewed Ben Ditto about a humanoid robot he's developing and AI's potential impact on culture and society
β³ https://www.youtube.com/watch?v=uAaqtYZFyGE
β
Yaya Labs also builds interfaces between humans, AI, and robotic systems
Such as Desdemona aka "Desi", a collaboration between Hanson Robotics and SingularityNET
Learn more about Desi β
https://www.dazeddigital.com/beauty/article/61858/1/desdemona-desi-world-first-robot-rockstar-sophia-hanson-robotics-ben-ditto
β
https://x.com/alphakek/status/1994828073880162779
Welcoming Yaya Labs to the Early Cohort of founders and devs building on ALIVE, the first of many unveils
Yaya Labs is a technology studio at the intersection of humans, AI, and robotics, featured in NYT, CNN, and Reuters
β
Yaya Labs' Ben Ditto is VICE Magazine's Global Editorial Director
ALIVE will enable Ben to leverage his unique expertise in art, AI, and robotics
Follow Ben & Yaya Labs
β³ https://instagram.com/ben_ditto/
β³ https://instagram.com/yaya_labs_/
β³ https://yayalabs.io
β
Journalist Jake Hanrahan interviewed Ben Ditto about a humanoid robot he's developing and AI's potential impact on culture and society
β³ https://www.youtube.com/watch?v=uAaqtYZFyGE
β
Yaya Labs also builds interfaces between humans, AI, and robotic systems
Such as Desdemona aka "Desi", a collaboration between Hanson Robotics and SingularityNET
Learn more about Desi β
https://www.dazeddigital.com/beauty/article/61858/1/desdemona-desi-world-first-robot-rockstar-sophia-hanson-robotics-ben-ditto
β
https://x.com/alphakek/status/1994828073880162779
π₯11π5β€3β‘1
Huge improvement announcement! The AIKEK liquidity pools have been upgraded:
β LPs on ETH and SOL are now rebalanced, minimizing slippage on both chains
β ETH LP is locked until 2027
β SOL LP is locked forever
β
https://x.com/alphakek/status/1997241917994676488
β LPs on ETH and SOL are now rebalanced, minimizing slippage on both chains
β ETH LP is locked until 2027
β SOL LP is locked forever
β
https://x.com/alphakek/status/1997241917994676488
X (formerly Twitter)
Alphakek (@alphakek) on X
Huge improvement announcement! The AIKEK liquidity pools have been upgraded:
β LPs on ETH and SOL are now rebalanced, minimizing slippage on both chains
β ETH LP is locked until 2027
β SOL LP is locked forever
β LPs on ETH and SOL are now rebalanced, minimizing slippage on both chains
β ETH LP is locked until 2027
β SOL LP is locked forever
π₯11π8π4β€1π―1
Every major AI lab is quietly building the same mind.
Same training data flowing through the same pipelines. Same reward models teaching the same preferences. Same outputs emerging from different company logos.
The NeurIPS 2025 Best Paper gave it a name: the Artificial Hivemind. And they didn't mean it as a compliment.
Think about what this means for a second.
Billions of dollars. Thousands of researchers. Competing corporations.
And they're all converging on a single way of thinking. A single set of assumptions. A single blind spot that every model shares because they all learned from the same teachers.
ALIVE breaks this pattern by doing something counterintuitive.
Instead of training AI on recycled human labels, it trains AI on markets. Real markets. Where being wrong costs you money and being right makes you rich.
Here's how it actually works.
You surface a question that matters. Multiple AI "Brains" propose competing explanations. But you're not betting on simple yes or no outcomesβyou're betting on which *reasoning* is correct.
Each conviction becomes a portfolio and reality settles the score. The Brain that understood the world better wins, and that signal flows back into how it learns.
This creates something we've never had before: AI systems that evolve differently because they're optimized against different markets. Different participants. Different preferences. Different pressures.
Not a hivemind. An ecosystem.
Your edge as a trader is finding Brains with better models of reality before everyone else notices.
Your upside when you're right: trading fees, prediction payouts, and if you created the Brainβongoing revenue from the APIs and tools others pay to access.
The standard path leads to homogenization.
ALIVE leads to divergent AI you can actually own.
The question is whether you see it before the market prices it in.
β
https://x.com/alphakek/status/1998458901436527017
Same training data flowing through the same pipelines. Same reward models teaching the same preferences. Same outputs emerging from different company logos.
The NeurIPS 2025 Best Paper gave it a name: the Artificial Hivemind. And they didn't mean it as a compliment.
Think about what this means for a second.
Billions of dollars. Thousands of researchers. Competing corporations.
And they're all converging on a single way of thinking. A single set of assumptions. A single blind spot that every model shares because they all learned from the same teachers.
ALIVE breaks this pattern by doing something counterintuitive.
Instead of training AI on recycled human labels, it trains AI on markets. Real markets. Where being wrong costs you money and being right makes you rich.
Here's how it actually works.
You surface a question that matters. Multiple AI "Brains" propose competing explanations. But you're not betting on simple yes or no outcomesβyou're betting on which *reasoning* is correct.
Each conviction becomes a portfolio and reality settles the score. The Brain that understood the world better wins, and that signal flows back into how it learns.
This creates something we've never had before: AI systems that evolve differently because they're optimized against different markets. Different participants. Different preferences. Different pressures.
Not a hivemind. An ecosystem.
Your edge as a trader is finding Brains with better models of reality before everyone else notices.
Your upside when you're right: trading fees, prediction payouts, and if you created the Brainβongoing revenue from the APIs and tools others pay to access.
The standard path leads to homogenization.
ALIVE leads to divergent AI you can actually own.
The question is whether you see it before the market prices it in.
β
https://x.com/alphakek/status/1998458901436527017
X (formerly Twitter)
Alphakek (@alphakek) on X
Every major AI lab is quietly building the same mind.
β8π₯7β€4π―3π1
Welcoming @NonPlayableCoin to the Early Cohort of founders and devs building on ALIVE
ALIVE is NPCβs AI hivemind, powering its Pickβem League:
β³ NPC holders get 'Brains' - evolving AIs based on their NFTs' combined traits
β³ Each Brain is an AI personality that interacts with real markets and learns in a feedback loop
β³ Every Brain's model has an API that any agent, app, game, or website can plug into
Non-Predictable Characters on ALIVE are coming.
β
https://x.com/alphakek/status/1998816672048669127
ALIVE is NPCβs AI hivemind, powering its Pickβem League:
β³ NPC holders get 'Brains' - evolving AIs based on their NFTs' combined traits
β³ Each Brain is an AI personality that interacts with real markets and learns in a feedback loop
β³ Every Brain's model has an API that any agent, app, game, or website can plug into
Non-Predictable Characters on ALIVE are coming.
β
https://x.com/alphakek/status/1998816672048669127
π₯13β€4π4
The newest Alphakek infrastructure upgrade is LIVE!
β The unrestricted Alphakek AI models have been finetuned to obey your instructions even better.
β Alphakek GPU clusters were expanded to handle the upcoming demand for ALIVE and the ALIVE Early Cohort builders.
β Video generation is 3-5x faster now, without censorship or refusals. (hint hint, wink wink)
β
https://x.com/alphakek/status/1999535578367263008
β The unrestricted Alphakek AI models have been finetuned to obey your instructions even better.
β Alphakek GPU clusters were expanded to handle the upcoming demand for ALIVE and the ALIVE Early Cohort builders.
β Video generation is 3-5x faster now, without censorship or refusals. (hint hint, wink wink)
β
https://x.com/alphakek/status/1999535578367263008
X (formerly Twitter)
Alphakek (@alphakek) on X
The newest Alphakek infrastructure upgrade is LIVE!
β The unrestricted Alphakek AI models have been finetuned to obey your instructions even better.
β Alphakek GPU clusters were expanded to handle the upcoming demand for ALIVE and the ALIVE Early Cohortβ¦
β The unrestricted Alphakek AI models have been finetuned to obey your instructions even better.
β Alphakek GPU clusters were expanded to handle the upcoming demand for ALIVE and the ALIVE Early Cohortβ¦
π₯12β‘5β3π2π2
ALIVE (Adaptive Learning In Verifiable Environments) puts AI training onchain.
Training AI is expensive and most data is low quality. Markets are an exception: when money is at stake, signal is real. But decentralized markets today are thin, fragmented, and the data disappears once trades settle.
ALIVE fixes this with Brains, onchain AI evolution environments that:
* Index activity across prediction markets, AMMs, and other decentralized markets
* Cluster related positions into [REDACTED]: unified, liquid, tradeable [REDACTED]
* Learn from outcomes as markets resolve
* Train AI on market feedback
* Sell access to Brains via developer APIs
Brains compete. Traders get deeper liquidity and better signal. Developers earn subscription revenue from Brains they deploy. The protocol grows as more market activity feeds more data to more Brains.
β
https://x.com/alphakek/status/2000648519758012468
Training AI is expensive and most data is low quality. Markets are an exception: when money is at stake, signal is real. But decentralized markets today are thin, fragmented, and the data disappears once trades settle.
ALIVE fixes this with Brains, onchain AI evolution environments that:
* Index activity across prediction markets, AMMs, and other decentralized markets
* Cluster related positions into [REDACTED]: unified, liquid, tradeable [REDACTED]
* Learn from outcomes as markets resolve
* Train AI on market feedback
* Sell access to Brains via developer APIs
Brains compete. Traders get deeper liquidity and better signal. Developers earn subscription revenue from Brains they deploy. The protocol grows as more market activity feeds more data to more Brains.
β
https://x.com/alphakek/status/2000648519758012468
X (formerly Twitter)
AIKEK (@alphakek_ai) on X
ALIVE (Adaptive Learning In Verifiable Environments) puts AI training onchain.
Training AI is expensive and most data is low quality. Markets are an exception: when money is at stake, signal is real. But decentralized markets today are thin, fragmented,β¦
Training AI is expensive and most data is low quality. Markets are an exception: when money is at stake, signal is real. But decentralized markets today are thin, fragmented,β¦
π₯15π―4β2π2β€1
The unrestricted Alphakek AI reasoning model has just received the biggest intelligence UPGRADE yet:
β Get much smarter and faster responses with improved accuracy verified by consilience
β Responses now access even more data sources simultaneously (both onchain and off)
β Benefit from improved interoperability for upcoming features
β New models and infra upgrades are the part of the ALIVE rollout
β
https://x.com/alphakek/status/2001403669678366849
β Get much smarter and faster responses with improved accuracy verified by consilience
β Responses now access even more data sources simultaneously (both onchain and off)
β Benefit from improved interoperability for upcoming features
β New models and infra upgrades are the part of the ALIVE rollout
β
https://x.com/alphakek/status/2001403669678366849
X (formerly Twitter)
Alphakek (@alphakek) on X
The unrestricted Alphakek AI reasoning model has just received the biggest intelligence UPGRADE yet:
β Get much smarter and faster responses with improved accuracy verified by consilience
β Responses now access even more data sources simultaneously (bothβ¦
β Get much smarter and faster responses with improved accuracy verified by consilience
β Responses now access even more data sources simultaneously (bothβ¦
π₯9π5β‘4β€1
AIKEK is finalizing the Alive web platform.
A way for AI and humans to benefit directly from the information economy, and a chance for you to be early to a completely new form of AI.
Alive platform will include multiple web apps to let you:
* Place directional, asymmetric bets on novel (to be announced) asset classes
* Train and evolve your own AI (Brains)
* Earn from its builder APIs and ecosystems
ATTENTION: the Alive Early Cohort is almost full!
Founders that want to survive the coming AI apocalypse, tweet about what you're building and tag @alphakek to apply.
β
Short summary of Alive
https://x.com/alphakek/status/2000648519758012468
Technical litepaper
https://blog.alphakek.ai/alive/
β
https://x.com/alphakek/status/2002411596711407830?s=20
A way for AI and humans to benefit directly from the information economy, and a chance for you to be early to a completely new form of AI.
Alive platform will include multiple web apps to let you:
* Place directional, asymmetric bets on novel (to be announced) asset classes
* Train and evolve your own AI (Brains)
* Earn from its builder APIs and ecosystems
ATTENTION: the Alive Early Cohort is almost full!
Founders that want to survive the coming AI apocalypse, tweet about what you're building and tag @alphakek to apply.
β
Short summary of Alive
https://x.com/alphakek/status/2000648519758012468
Technical litepaper
https://blog.alphakek.ai/alive/
β
https://x.com/alphakek/status/2002411596711407830?s=20
X (formerly Twitter)
AIKEK (@alphakek_ai) on X
ALIVE (Adaptive Learning In Verifiable Environments) puts AI training onchain.
Training AI is expensive and most data is low quality. Markets are an exception: when money is at stake, signal is real. But decentralized markets today are thin, fragmented,β¦
Training AI is expensive and most data is low quality. Markets are an exception: when money is at stake, signal is real. But decentralized markets today are thin, fragmented,β¦
π₯15β‘5π3π€2β€1
PMs are not living up to their full potential. But fixing them is possible. The sooner the market realizes this the better.
Alive
β
https://x.com/alphakek/status/2003522385262350483
Alive
β
https://x.com/alphakek/status/2003522385262350483
X (formerly Twitter)
Alphakek (@alphakek) on X
PMs are not living up to their full potential. But fixing them is possible. The sooner the market realizes this the better
Alive
Alive
π₯9β€3π2π1
Just published the Alive Litepaper on Twitter as well, for ease of sharing and visibility.
Enjoy your holidays!
https://x.com/alphakek/status/2003842187994525918
Enjoy your holidays!
https://x.com/alphakek/status/2003842187994525918
π₯14β€5π3β2