Summary

Chiefingza’s scorecard was one major win and one clear miss: TAO had gained more than 2.5x to nearly $600, while ETH/BTC had fallen roughly 10%. He was still holding TAO because its move resembled the strongest trends of October 2023; on ETH/BTC, he admitted, “definitely got that wrong,” but considered 0.04 psychologically compelling as the election and disappointing ETF positioning complicated the bear case.
Chiefingza saw a shift into “hold-tight mode,” with majors able to chop longer while selected utility alts could lead into the election. Crypto-native capital can reprice small sectors before institutions commit to majors, and he suspected the market would not let investors wait safely in BTC for an easy post-election allocation. Avi’s complementary framing was that the 50-basis-point cut, equities at highs, and severe alt drawdowns made the pain trade potentially up, with alts 100%-300% higher under Trump versus another 30% down under Kamala.
Election night could create a premature “red mirage” sell, followed by a much larger BTC move if the approach is muted and Trump wins. Chiefingza would treat early Trump euphoria as a tactical sell for trading positions, rotate successful alt positions toward roughly equal-weight BTC, ETH, and SOL, and hedge with liquid-alt shorts such as SOL if Kamala won. With BTC around $63,500, Avi thought $70,000-$75,000 on a Trump win could still be a “screaming buy,” while Jonah noted that closed traditional markets could produce an upside overshoot and a buyable dip.
The altcoin playbook is concentration in consensus leaders, not indiscriminate beta or laggard hunting. Avi’s rule was, “find the sector, find the best asset in that sector, and wait”; the examples discussed were TAO for AI, Aave for DeFi, and Helium for DePIN. Chiefingza added that “diversification becomes a meme” once a true leader trends, while low-quality catch-up pumps often mark the end. Less money in the space means more dispersion, making sector selection harder but more important.
The fundamental TAO wager is that blockchain incentives can fund an enduring open-source AI alternative, even if it never defeats centralized labs. Bittensor had expanded from roughly two-to-four subnets a year earlier into the 50s, with weak projects losing emissions and better teams gaining share. Chiefingza’s claim was that “Pandora’s box is already open”: decentralized AI will exist, rival centralized systems on some vectors, and fail on others.
TAO’s market structure could amplify the narrative, but Chiefingza did not present the upside as certain. Against roughly a $4 billion circulating valuation, he said another 2.5x-3x “would not surprise” him before the next halving; on a one-year-forward basis, he called it roughly $8 billion because inflation remains high. Dynamic TAO, high staking, long-duration holders, and an estimated $20 million-$30 million of monthly emissions reaching probable sellers supported his supply-squeeze thesis.
Risk management combines Chiefingza’s quantitative excess signals with Avi’s separated time horizons. Chiefingza watches quarterly basis, funding divergences, volatility, volume and open interest; aggregate alt OI was near $13 billion, high but not extreme after market-cap adjustment. Avi separates three-to-six-month convictions from active trades and emphasized that “in this game you really just want to survive.”

Deep dive

1. TAO won the scorecard while ETH/BTC failed

At recording, BTC was back above $60,000 and TAO was nearing $600, more than 2.5x higher since Chiefingza’s previous appearance. He was “not really doing anything” with the position: the trend reminded him of the strongest coins around October 2023.
Chiefingza’s honest accounting on ETH/BTC: “Definitely got that wrong.” He linked its roughly 10% decline to fading confidence in a Trump landslide, stale positioning around the ETH ETF, and ETF performance that had not met expectations.
Even so, he found it “tough not to be somewhat constructive” near the psychological 0.04 level. A longtime ETH bear had laid out the bear thesis around the modular vision and ETH not being marketed as money, then identified 0.04 as the level he wanted; Chiefingza stressed that the election added nuance.

2. Singapore looked like crypto’s Davos, not a dying industry

Token2049, Formula 1, Balaji’s Network State event, and Solana Breakpoint made Singapore feel like “crypto’s Davos.” Chiefingza’s larger takeaway was scale: unlike 2017-18 conferences filled with familiar faces, the industry now supported numerous side events, specialist sectors, and new entrants.
The highest-signal gathering for him was a Bittensor-agent meetup: mostly subnet developers and investors, including a DCG presence, with “no frills, just technical discussion.” He spent most of his time at decentralized-AI side events, while social products, RWAs, and DePIN also attracted attention.
Breakpoint’s energy centered on consumer apps and Firedancer, including what Chiefingza understood to be a non-voting client live on mainnet. SUI also survived the joking “Steve Aoki curse”—the historical tendency, based on two examples, for his appearances at project events to coincide with local token tops.

3. The market may have shifted from selling rips to holding tight

Chiefingza thought the market had entered “hold-tight mode.” Majors might chop longer, including a possible flush around the front-run October meme, but he saw little basis for sustained BTC downside beyond ordinary intraday flushes.
His thesis was that selected utility alts could lead into the election while majors potentially moved after it. The market, he argued, was unlikely to let everyone remain safely in Bitcoin, await the result, and then receive an easy allocation opportunity.
The mechanism was capital intensity: crypto-native investors can decide it is decentralized-AI season and move small assets quickly, whereas ETF flows, institutions, and other large pools of capital are more disciplined and may wait for the election. Range-bound majors, when the backdrop is supportive, have historically created room for altcoins.
Chiefingza also described prior SOL and BTC breakouts as liquidity vacuums. If SUI or another alt ran 2x-3x into the election and BTC then moved sharply after a Trump win, alt holders could take profits and rotate into the fastest major, amplifying the move.
Avi reached a similar conclusion after months of caution. The 50-basis-point rate cut, equities returning to highs, and deep alt drawdowns meant a Trump outcome could produce 100%-300% upside against perhaps another 30% downside under Kamala; with investors underallocated, “the pain trade becomes up.”

4. Alpha belongs to the strongest horse, not the catch-up trade

The group’s shared framework was consensus concentration. Avi’s formulation—“find the sector, find the best asset in that sector, and wait”—translated into TAO for AI, Aave for DeFi, and Helium for DePIN.
Avi rejected the instinct to buy laggards after a leader rallies. His rough power law was 80% in the asset already working and 20% in moonshots; when a sector moves, the leader generally remains superior to a basket assembled around hoped-for catch-up.
Chiefingza went further: within an alt allocation, “diversification becomes a meme” when one asset establishes a YFI-like trend. A small sleeve of secondary names can still serve as an alarm—“the worst trades tend to pump the hardest at the end.”

5. Tops reveal themselves through leverage, volume, and social absurdity

Nobody claimed the ability to sell the precise peak. Avi called that objective an ego game; the practical goal is to preserve exposure to crypto’s occasional 10x moves, then take substantial profit when several historical top indicators arrive together.
Chiefingza’s quantitative list includes quarterly basis, venue-level funding divergences, volatility spikes, abnormal volume, and open interest. BTC basis reached roughly 36%, or somewhere in the low-to-mid 30s, in March—difficult to justify when many participants have the infrastructure to arbitrage such financing. MVRV was more useful for the largest cycle moves.
Aggregate altcoin OI had touched roughly $13 billion, near the multi-month or late-July high. Adjusted for market capitalization it was not “super frothy,” but it sat near resistance if the broader market had not truly escaped its range.
Chiefingza’s qualitative tells are blunter: people from outside crypto or dormant acquaintances asking what to buy, including Solana memecoin picks, plus celebrity coins and other obvious grift. Katy Perry painting his nails would be a sign to get out. Jonah separately cited fantastical targets such as WIF reaching $100 because “the Sphere” had a hat.
For monitoring, Chiefingza called Velo the most all-encompassing tool, with Twitter, Kaiko, and CoinAnk also useful. He specifically wanted Velo to add aggregate altcoin open interest.

6. Election night demands a conditional playbook

Chiefingza expected a possible “red mirage”: early counting could favor Trump before later-counted mail ballots shifted the picture. A resulting crypto celebration—“slide the leverage bar to the right”—would be a tactical sell for trading positions, although deep prediction markets might reduce the mispricing.
If alts rallied substantially beforehand, he would begin rotating toward roughly equal-weight BTC, ETH, and SOL. He also floated increasing his TAO exposure into the election and waiting to see what happened afterward. If markets were already rising into a Trump victory, he might do little because the result had been front-run; if Kamala won, he would consider portfolio hedges using liquid-alt shorts such as SOL.
The hosts disagreed on the immediate magnitude. With BTC hypothetically around $63,500, Avi saw $70,000-$75,000 on election night but doubted a truly parabolic extension; Jonah argued that closed traditional markets could make BTC the only liquid election trade, causing an overshoot followed by a buyable dip.
Chiefingza’s strongest conditional call was reserved for a muted approach followed by a Trump victory: “I think BTC goes parabolic.” He compared the setup to Elon’s Bitcoin-buy announcement, when perpetual basis was extremely high and repeated short squeezes still made “just get long, walk away” the appropriate response in his view.

7. Portfolio buckets make a regime change psychologically tradeable

Avi said he uses a top-down view with a “decent margin of error.” BTC around $61,000 still represented an uptrend to him, though traders could wait for a clean breakout depending on their time frame and portfolio.
Avi separates three-to-six-month macro convictions from an active trading bucket. Conviction positions are allowed to run; speculative or technical positions can be trimmed after a large move, especially when OI rises, without treating further upside as a personal failure.
Jonah’s practical trick was to avoid binary decisions: sell 5% or 10%, observe the emotional effect, and gradually retrain range-market instincts. That matters because traders conditioned to harvest 20% moves often sell too early when chop finally becomes trend.
Cash from Avi’s lower-conviction trims is not necessarily bearish positioning; it is optionality to buy high-conviction names on a dip. His priority was survival: “There’s something new happening every week, every day.”

8. Bittensor’s core product is an incentive game for open AI

Chiefingza divided TAO’s thesis into fundamentals and market structure, while conceding that the latter often dominates because “price always drives narrative.” Fundamentally, Bittensor uses incentives to produce better open-source AI models that might eventually compete with centralized labs and open-source models such as Llama.
The early evidence was ecosystem selection, not victory over centralized labs. Subnets had grown from roughly two-to-four into the 50s; “most are bad,” but poor subnets were losing emissions while productive teams and developer-tool builders gained market share and more control of TAO.
His blockchain argument centered on durable property rights and stable rules: credible ownership changes participants’ behavior, allowing a strong bounty to coordinate work toward better models. Bittensor also funds or covers resource and go-to-market costs, letting startups such as Inference Labs bootstrap through subnets.
Jonah’s pushback—worth keeping—was that decentralized incentives outperforming centralized or quasi-open systems remains a venture-style “big if.” He framed crypto’s advantage as tradability: investors can enter and exit while the five-year thesis oscillates between enthusiasm and doubt.
Avi added that both AI and crypto remain new enough that nobody knows the upper limit or the correct model. He cited turmoil at OpenAI and argued that even a $150 billion OpenAI valuation could prove low if inference replaces search, leaving room for a radically different outcome for TAO.

9. TAO combines early validation, hoarded supply, and unfinished catalysts

Chiefingza cited an example involving Wombo, but was unsure which subnet it used and thought it might be Dippy. He said a miner produced language-model outputs that scored higher on a standardized EQ measure than Llama 3.5. He rejected the fantasy that basement developers automatically surpass OpenAI, but saw value in a permanent alternative.
Jonah proposed a geopolitical use case: countries constrained in advanced chips might use decentralized AI for neutral access to models. Chiefingza qualified the mechanism—it may not directly source compute, although miners expend computing resources—but agreed Bittensor fits the idea of geographic, unfettered access.
Avi said Corcel, which Chiefingza had recommended, already had an “incredible” user interface, while stressing that a sudden improvement in Bittensor chatbots over centralized versions was possible rather than probable.
Structurally, TAO had previously moved from about $50 to $800, then based around $200-$300 for four-to-five months. Against a roughly $4 billion circulating valuation, Chiefingza said that, because inflation remains high until next year’s halving, a one-year-forward valuation could be called roughly $8 billion. He said 2.5x-3x upside before the halving “would not surprise” him; $20 billion was the difficult circulating-valuation threshold.
Dynamic TAO could make emissions more market-based and let users spend TAO to speculate on which models win; EVM support and a possible DCG financing product were less-defined catalysts. Chiefingza estimated likely emission sellers at only $20 million-$30 million monthly and argued that Barry Silbert, Polychain, and large stakers were not looking to take profit near current levels.
Jonah pushed back that Silbert and Paradigm’s LPs would have a level if TAO doubled or tripled. Chiefingza replied that Barry did not, as far as he knew, have LPs in this trade and argued that VC funds can hold for years, often selling only when a fund winds down or the thesis breaks. He cited Maker as an example of funds holding for almost half a decade before offloading.

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