Joined April 2015
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I only invest in $TAO now It is the most compelling ecosystem in crypto with the highest rate of product iteration and talent density I've ever come across My discussion with Wei below on @supercyclepod 00:00 Introduction 01:50 Macro Outlook 09:48 Speculative demand shift from crypto to AI 12:31 JP Morgan and the institutionalization of blockchain 15:15 AI vs. crypto: intelligence amplifiers vs. value representation 22:50 Korea's "Salaryman" dream and social drivers of crypto volume 33:00 Discovering Bittensor and decentralized systems 41:42 Why decentralized AI matters as a counterweight to frontier labs 47:53 Metanova (SN68) and AI drug discovery on Bittensor 01:04:32 Babelbit (SN59), Yanez (SN54), Beam (SN105) 01:08:45 Why founders choose Bittensor over traditional VC
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Great to speak with @GSchvey as always on Bittensor Last year, we thought that retail crazies were out of the market we looked towards what smart money would like buying new unique primitives enabled by crypto what better place than the intersection with AI and as we continued investigating, it was just so utterly clear that the smartest developers across ML, open source, privacy etc and investors from family offices to sovereign wealth funds were in love with a competitive open AI ecosystem Greg and I have an exciting conversation on where smart money views cryptos unique role in the race towards frontier intellegience
Coined the "Industrialists of Bittensor" by Bittensor Founder Const We welcomed @YumaGroup COO Greg Schvey to discuss the institutionalization of Bittensor. The story of Bittensor is the story of bottom-up capitalism, the individual developer building technologies that they think should exist, then open-sourcing them and inviting those who share the same passion, energy, and desire to co-build and commercialize. Yuma has a great role to play in this evolution. Timestamps: 00:00 Introduction 03:10 Greg's Background 07:04 The Tokenization of AI 11:11 Bottom-Up Capitalism vs. Centralized Systems 14:57 Institutionalization 21:44 Decentralized AI vs. Corporate Labs 29:48 Subnet Financial Models 43:08 Driving Mass AI Adoption
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Bittensor has evolved significantly since their TGE in 2021, we've met a majority of subnet owners and the scale of innovation is incredibly ambitious To me, Bittensor represents a shining flag for open source: that people from around the world and come together to co-create new technologies & commercialise them together That message is very optimistic for humanity power back to the people our updated ecosystem map on the subnet eco below
AI stocks outperformed every major index in 2025 Model development consolidated behind a few closed labs controlling the most capable models and the most valuable training data A generation of crypto-native AI entrepreneurs chose an alternative path Bittensor launched in January 2021 and is now the most developed public market for open-source AI intelligence 128 subnets with an aggregate market cap grew from $4M at launch to a peak of $1.5B The market decides which subnets get fed with emissions flowing to subnets showing traction Our latest report maps the three investment eras of Bittensor: 1) Era 1 - Genesis (2021-2024) 2) Era 2 - dTAO (2024-2025) 3) Era 3 - Institutional Era (2025 ) We also share a few subnets we are keeping a close eye on along with index options for those who want a hands off approach Full report in the next post below
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Jack Ai-Leung retweeted
Had @mikecontango Founder of @generaltensor on the pod Talking about what it takes to get $TAO to the top institutional investors General Tensor are OGs who started some of the major subnets on Bittensor, acquired top validator Roundtable 21 and now have taken over trading venue Backprop Finance No one better to speak to than Mike on all things BIttensor Timestamps: 00:00 Intro 01:45 State of Markets 03:48 General Tensor Origins 09:21 Antifragility 11:11 TAO Capital Markets 15:12 Distributed Computing 20:18 Exponential Growth of $TAO 26:07 Subnet Analysis 29:43 TAO as a Diversified AI Index 35:36 Driving Institutional Adoption and Research
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Nova (SN68) is the #1 horse for healthcare on Bittensor Sat down with founder @micaelabazo on why this is the mission for her and her cofounders lives The truth is that pharma has only just begun on their AI revolution, and the whole ecosystem is being upended Anyone from around the world can contribute to the progression of life via Bittensor Robotics, Data Centres, Energy What about the fight for humanity? I discuss all things opensource, AI and social change on Supercyle Podcast. Only available on Youtube/Spotify Timestamps: 00:00 Intro 02:19 Intro to Pharma & Drug Discovery 05:40 Price of Healthcare Innovation 09:18 Advantages of Decentralized Pharma Research 18:53 Subnets as a Competition for Drug Discovery 27:12 Micaela Story 37:21 Future for Biotech Startups 41:09 2026 Roadmap 43:44 Lessons from Bittensor
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SCORE (SN44) is now a top 5 subnet on TAO There's not many people I admire more that Max to discuss the market & their hardwork Locked in, focused on taking Bittensor to the masses Reading FC AVIA PwC France As always, Full ep on Youtube 00:00 Market Discussion 01:08 Web2 markets 02:51 SCORE (SN44) entering $120b chocolate market 12:52 History and Evolution of SCORE (SN44) 17:33 Robotics: The Final Boss of AGI 27:45 The New Age of Compute 33:38 Visual Learning in Robotics 38:24 Closing
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Inarguable that robotics will have it's breakout moment over next decade Most of these gains will be in the private markets, inaccesible to the public Think about the SpaceX $2T valuation Tokenised VC allocations in these robotics companies will bring down barriers for access, which is such a great use-case for crypto We're excited about XMAQUINA solving this problem
In the U.S., 2.1M manufacturing jobs will go unfilled by 2030, at a cost of $1T annually That’s the demand side. The supply side: 16,000 humanoid units deployed globally in 2025, up from 2,000 the year before Private robotics equity has already created tens of billions in value Embodied AI changes labour cost structure the way software changed information cost structure BMW has run Figure AI robots on daily 10-hour shifts for over 11 months across 30,000 vehicles and 1,250 runtime hours Leading companies carry combined valuations exceeding $85B, but most of that value will accrue to private investors No retail-accessible instrument offers specific exposure to named pre-IPO humanoid companies RoboStrategy is the exception that proves the rule: a listed fund trading 160–700% above NAV because scarcity drives premium XMAQUINA’s RCM Protocol converts verified private robotics equity into onchain subDAO tokens, bringing liquidity to illiquid markets Full Khala Research report in the next post below
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Hosted a conversation on @xmaquina with founder Mauricio and Simon from Moonrock earlier this year x.com/supercyclepod/status/2…

Robotics is a trillion dollar opportunity, but most people can't participate Tens of billions of value has already been created in private markets Figure AI went from $2B to $39B in just one year Crypto likely has a unique oppurtunity to provide access to millions of people into the new robotic revolution via @xmaquina Mauricio from XMAQUINA and Simon from Moonrock Capital joined us on the pod to discuss the current landscape 00:12 Intro 01:24 Origin Story 07:51 Bull Case for Robotics 11:11 Macroeconomic Outlook 16:16 Intersection of Crypto and Robotics 19:21 XMAQ Portfolio Deep Dive: Apptroniks, Agility, 1x 41:52 Future of XMAQ 56:19 Long Live Token Launches 01:06:13 Rapid Fire Round
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Jack Ai-Leung retweeted
Competition in AI is critical; the most important asset of our generation in our interview with @Dr_JohnFletcher of $TIG, he shares his perspective of lessons from Linux and the market driven mechanism they are employing for algorithms More participants, more solutions will enable a battle field of ideas, ensuring that power is not concentrated within the major AI Labs Follow @supercyclepod for more content on the opensource AI movement
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The $TIG thesis is that algorithms are the most undervalued and most monopoly-prone layer of the AI stack, and TIG is building the open-source alternative to what Google DeepMind / Anthropic / Open AI could otherwise own outright - innovators submit optimised algos - benchmarkets test algos vs. test cases - TIG manages license rights to these algos Critical to this endeavour is Philip David Who spent a decade at ARM, who licensed their chip design to companies like Apple, Qualcomm, Samsung etc But let's be clear: their commercial model is not yet empirically proven Licensing revenue is the long-term engine, but the network is still in its build phase and trades as such 1. TIG has assembled fascinating token architecture 2. Run by a Class A team 3. Tackling one of the defining problems of our time Available in the public markets
Yeah $TIG is flying under the radar An open protocol for algorithm development listening to John explain how algorithms can optimise & help you extract maximum utility from any given chip DeepMind, OpenAI, Anthropic, they're all racing to own the algorithmic layer if they win, you pay a tax on every optimized query, every solved route, every compressed model Over the last 50 years, we focused on hardware The fight was between Intel, ASML, TSMC: who could etch circuits smallest and cheapest at scale? many years ago we realised Moore's law seemed to be hitting a ceiling, that there may be fundamental limitations of physics as such, the focus changed to how we could extract maximum utility from the hardware the fight will be for the most optimised software I spoke with @Dr_JohnFletcher to discuss the TIG mission Full ep on our youtube 00:00 Intro 00:26 Primer on $TIG 02:18 Cambridge, ARM and the TIG Team 06:33 Why open source? 15:21 Why challenges for algorithms 20:00 Role of IP licensing 23:29 Defending Against Algorithmic Monopolies 27:40 Monetisation 28:40 Use Cases 36:23 Power Struggle vs AI Labs 39:12 Freedom Ideology
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Yeah $TIG is flying under the radar An open protocol for algorithm development listening to John explain how algorithms can optimise & help you extract maximum utility from any given chip DeepMind, OpenAI, Anthropic, they're all racing to own the algorithmic layer if they win, you pay a tax on every optimized query, every solved route, every compressed model Over the last 50 years, we focused on hardware The fight was between Intel, ASML, TSMC: who could etch circuits smallest and cheapest at scale? many years ago we realised Moore's law seemed to be hitting a ceiling, that there may be fundamental limitations of physics as such, the focus changed to how we could extract maximum utility from the hardware the fight will be for the most optimised software I spoke with @Dr_JohnFletcher to discuss the TIG mission Full ep on our youtube 00:00 Intro 00:26 Primer on $TIG 02:18 Cambridge, ARM and the TIG Team 06:33 Why open source? 15:21 Why challenges for algorithms 20:00 Role of IP licensing 23:29 Defending Against Algorithmic Monopolies 27:40 Monetisation 28:40 Use Cases 36:23 Power Struggle vs AI Labs 39:12 Freedom Ideology
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Bittensor is at an inflection point with smart money beyond all the new noise, it's people like dear friend @here4impact from Karis Capital who have been long time advocates for fundamental-led value investing on Bittensor I learn so much every time I speak with him Conversation is live on Youtube Follow to get our conversations with the best Timestamps 00:00 Intro 01:50 New TAO Conviction Mechanism 08:25 Trade offs of Root vs. Subnet Alpha Allocation 14:08 Karis Capital Portfolio Allocation 21:11 Tracking Subnet Turnover 22:41 "Bet on the Founder" Investment Philosophy 24:34 Oro Agents (15) 27:54 SYNTH (SN50) 28:34 0xMarkets (SN35) 33:02 Institutional Adoption
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Subnet reg cost is up 7x on $TAO over last 6 months back to $500k / subnet slot Below accounts for public registrations, many subnets are transferred OTC so won't appear on public dashboards Existing subnets, new owners biding their time shows the supply / demand dynamic of Bittensor Wild to see
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