
Trench | prev investments @DeFianceCapital bd @theblockcrunch
Joined June 2021
- Tweets2.2K
- Following2K
- Followers7.5K
- Likes3.2K
j retweeted
Selective & granular privacy models allows everyone to be compilant across the board if you decide to do so. You never know what regulatory hurdles will come in the future. I dig it.
gCanton
j retweeted
Privacy meta but people chasing the wrong betas that don't actually offer privacy lol
One ecosystem that offers privacy +:
- already has trillions in adoption from major instis
- burning 9 figs per year (not accounting for incentives)
- trading at discount to OTC price
👀
j retweeted
Co-CEO of @sharplink & Founder of @Consensys basically talked about how they'd use @LineaBuild to outperform other ETH DATs
Won't be surprised to see $LINEA added to SBET's treasury, & see interesting mechanics between $LINEA & Metamask's token
Listen from 18:20 onwards
Replying to @TheBlockCo
To see his full interview on The Crypto Beat, watch here: nitter.gq/i/broadcasts/1BRJjgOPz…
j retweeted
aaaand we're live!
mUSD is here. Native to @LineaBuild.
Onramping from fiat <> mUSD is free, making it the easiest and cheapest way to get onchain, with lot's more utility to come.
As mUSD grows, the revenue generated from the underlying yield can be used to further grow the ecosystem, from subsidizing user fees to additional yield.
j retweeted
On The Purgatory of Crypto
While Bitcoin and Ethereum has made progress in winning the game of public acceptance lately, “Web 3” in general has been in an odd purgatory.
Despite a historic ETF win for BTC and unprecedented regulatory wins in the US for crypto, many who have been building and investing since 2018-2020 eras have shared feelings of disillusionment.
Nobody could quite put a finger on why but it feels like “nothing exciting is happening”.
Compared to the cornucopia of unfettered experimentation we saw in the ICO era or DeFi summer - which while not without their fair share of grifts and failures, at least had earnest goals and some semblance of cypherpunk ideals, or even fun.
Besides the obvious secular brain drain to AI and general stigma around crypto post FTX, what the market has evolved to value has also played a big role in introducing this general sense of “nothing meaningful is going on”.
It’s easy to pinpoint the sorry state the industry is in on “evil VCs” or “memecoin grifters”, but the more holistic explanation is one of incentives.
The story progressed like this:
“Narratives” were once crafted by teams and investors to generate excitement for tokens, and often the capital herded from these narratives would be re-invested to further the products in a reflexive cycle that drives more demand for the token. This was the crux of the Defi summer of 2020, when market began to care about TVL and fee switches for the first time.
Somewhere along the way, however, the market realized narratives could be the products themselves - to the point no products need to exist, only the stories about them.
Reference the AI crypto coin meta post GPT in 2023-2024 - how many of the dozens of coins “earned” their valuation based on actual development vs. “I bought it since it’s a proxy for AI”?
Majority of market (by coin count, not market cap) caught on to the shell game and became simulacra - copies without originals, performative narratives without actual substance or underlying products, only the pretense of them.
Market keeps rewarding them, and so they keep coming. VCs keep piling into the 100th L1 despite no sign of real demand for most of them besides farming bots. Retails kept piling into vapid narratives that latch onto whatever the newest “meta” is.
This eventually devolves into nihilism - a “lack of pretense that any of this is supposed to achieve anything”, as an investor aptly - and perhaps pessimistically - puts it when referring to the 2024 memecoin cycle.
The crowning moment of this trend was when another investor told you with a straight face that revenue is a “meta”, and not a commercial necessity or even the end goal.
There is no solution to this except to let the game run its course and for the pendulum to swing back.
Once memecoin grifts lead to massive ruin, bucket shop “VC” funds run out of LPs to grift, and dogmatically “anti-VC” populists are revealed to be orchestrators of games more rigged than the ones they pretend to protest, then Web 3 will make a resurgence.
Until then, welcome to the desert of the real, broseph.
j retweeted
Everyone thinks GPT-5 is just another AI upgrade.
But they're missing what actually happened yesterday.
We now have the first general-purpose AI agent that *truly* works without human input.
Here's why we just entered a new era of unsupervised machine intelligence: 🧵
j retweeted
DAT SUMMER
The DAT trend has taken off since April 2025, boosted by companies like Metaplanet, SBET, and BTBT, with their stocks jumping over 100% in a month.
DAT Summer in 2025 = Defi Summer in 2021
It’s reminiscent of DeFi Summer. Back then, assets like AAVE, CRV, and YFI seemed worthless due to zero-cost farm-and-dump cycles, yet they ended up creating life-changing wealth. I’m sure many of us wondered who was buying them.
As the market grew, we started seeing these coins as fundamental-driven assets, predicting TradFi might step in and value them like stocks. We even thought DeFi could challenge giants like Visa and Mastercard. Price (and maybe time) really shift our perspective.
Disbelief in DAT
In hindsight, those notions seemed far-fetched, much like the current DAT trend, which appears irrational on the surface. I’ve spoken with some clever individuals about the DAT concept, they reckon:
>This market is excessively frothy and unlikely to sustain beyond a month
> A bubble burst could lead to a catastrophic collapse, potentially driving most of these companies into bankruptcy
>Why would anyone invest in treasury companies like SBET when there appears to be little demand for underlying assets such as ETH?
I had the same doubts, but I also recall that irrational market trends can last much longer than anyone expects.
First Large-Scale FLYWHEEL since Defi Summer
This time, we’re seeing the first and only flywheel in this cycle that none of us have cracked the game on yet. We’ve had MEME season, AI season, and a bunch of flashy narratives. These so-called narratives were mostly attention trading games, lasting no more than 3 months, as I mentioned in my pinned post. They were just like:
>When Moodeng went viral on TikTok, someone made a meme, and we’d BUY LOW SELL HIGH.
>When NVDA spiked, we jumped on catch-up plays with TAO & GRASS, BUY LOW SELL HIGH.
>When AI agents trended, a dev launched a Twitter bot and coin, BUY LOW SELL HIGH.
These playbooks, though effective, feel like old wine in new bottles, losing steam as the market adjusts. That's why many of the crypto natives have left us.
"TradFi is buying our bag"
In contrast, the DAT trend introduces a flywheel with the theme “TradFi is buying our bag”.
1. List co. buy token
2. Token price appreciates
3. Lower MNAV
4. Equity price appreciates
5. List co. sell stock via market or CB
6. List co. buy more token
We see a successful flywheel that has attracted multi-billions of dollars in capital flowing from equity markets into crypto. This marks a significant shift from the 2022–2024 period, when crypto bled while stocks soared. This time is different.
I’m not sure how long this game will last, but for now, alts not yet picked up by public companies could be the next big thing.
The road ahead is unclear, but DAT pushes us to stay open-minded, adapt to the market’s changes, and see today’s doubts as tomorrow’s opportunities. Cheers.
another data point related to $circ : nitter.gq/alpha_pls/status/19310…
what do you think happens when the other sidelined mid curvers catches on & reprices $hype?
we are still early.
hyperliquid
—- stats —-
$hype: $35 (+75%)
$hype (when @mirana published our research): $20
sometimes to win means having crazy thoughts & tripling down on them without any caveats and occasionally being right in a big way
at the point of publishing this with @hypurr_co $HYPE was ~$20
hyperliquid
j retweeted
Interesting take from @tarunchitra @ 22:04 however, agents being early shouldn't be the point of discussion here
Reliability still ranges from subpar to nonexistent in the vast majority of scenarios, especially in scientific research or any type of research involving financial data and so on...
Benchmark scores for most “frontier” models keep going up but the reliability issues talked about above persist
GPT has web search consisting of web scraping and that doesn’t magically prevent it from outputting degraded results and slop. A browser MCP will not fix that
To expand on MCP: it’s a set of tools that unlocks certain things and we are finalizing our own clients, however simply plugging them into LLMs cannot mask their inherent cognition shortcomings. Meaning that it’s nothing more than a tool that needs to be used properly for max performance extraction.
So were agents too early or are they doomed to be very limited in the current paradigm?
Such opinions have been ours for much longer than the existence of “Chasing AI’s Holy Grail”( nitter.gq/ReiNetwork0x/status/19… )
NEW EP: What Went Wrong with Crypto AI Agents with Tarun Chitra and Wei Dai
Everyone’s talking AI agents, but no one’s asking the hard questions.
In today's episode, @andyyy & @robbie_rollup sit down with @tarunchitra of @gauntlet_xyz and @_weidai of @1kxnetwork to cover:
> What’s next for crypto AI agents post-meme hype
> DeepSeek’s reward model and compute efficiency
> Can MCP become the "HTTP of AI agents"?
> Why are today’s agent protocols so insecure (and can crypto fix that?)
> Reasoning models and long-term AI planning
> Micro-payments and autonomous onchain agents
Full episode links below.
Timestamps:
00:00 Intro
00:49 Magic Ad
01:05 Current Research Landscape
04:01 Types of Quantum Computers
09:58 Quantum Crashing Compute Marketplace?
17:51 Why Run Models Locally?
22:04 The Next Agent Boom
26:29 What is MCP?
39:30 Mantle Ad
40:11 Agent to Agent Communication Trends
49:16 Model Training Rewards?
55:32 Commoditizing Compute
j retweeted
Reinforcement Learning in the era of LLMs requires scalable, distributed systems to push the boundaries of reasoning and alignment.
Today - we release Atropos - our RL environments framework.
github.com/NousResearch/Atro…
Atropos is a rollout framework for reinforcement learning with foundation models that supports complex and diverse environments for advancing the capabilities of foundation models.
In Greek mythology, Atropos was the eldest of the three Fates. While her sisters spun and measured the threads of mortal lives, Atropos alone held the shears that would cut these threads, determining the final destiny of each soul. Just as Atropos guided souls to their ultimate fate, this system guides language models toward their optimal potential through reinforcement learning.
The work on Atropos was led by @dmayhem93 and built alongside @teknium, @rogershijin, @max_paperclips, @nullvaluetensor, @JSupa15, @artemsya and @karan4d
j retweeted
REI Core Closed Beta Phase 2
reisearch.box/early-access
In Phase 1, we selected an extremely small group of knowledgable experts across disciplines. Over three weeks, they battle-tested Core and each new update, offering valuable feedback.
With Phase 2, we are broadening access to the wider community.
Invites will be sent via email in waves as we expand capacity. As an appreciation for the community, each invite will include substantial free credits to explore and play.
We look forward to hearing about your Rei Unit ✧
j retweeted
LOVE YAPPING WITH FRIENDS ABOUT CRYPTO?
EARN OUR LANDLORD'S CURRENCY $HYPE WHILE YOU'RE AT IT
Live NOW @ app.fan.fun 😺
j retweeted
Quasar Alpha is here, and it's the AI industry's best-kept secret.
A mysterious 1M token context model that beats Claude 3.7 Sonnet on benchmarks while running 4X faster.
But nobody knows which lab created it.
Here's what we know so far: 🧵
j retweeted
1/ Today, we're excited to unveil Fan App 🚀
What Hyperliquid has accomplished in such a short period is remarkable — but it's just the beginning. We're witnessing the early days of what will become crypto's dominant financial layer
Our mission at Fan App is to accelerate @HyperliquidX by transforming the social layer. We're building a creator marketplace that reinvents social experiences
j retweeted
52 Trading Never-Dos: Lessons Every Trader Learns The Hard Way
1) Never oversize. That is when you start becoming irrational. Blowing up while still being right is the fastest way to ruin.
2) Never trade when tired or sleep-deprived. Decision fatigue has ended more traders than liquidation ever could.
3) Never trade without a defined edge. Entering without one is just gambling with extra steps. If you can’t explain your edge in a single sentence, you probably don’t have one.
4) Never enter a position out of boredom. The desire to always be in a trade leads to suboptimal returns. More often than not, doing nothing is the best move.If you find yourself taking trades just to feel busy or because you “haven’t traded in a while,” check yourself. Trading for action leads to sloppy decisions and losses.There’s no prize for the most trades – only for the most profitable trades. Sometimes the best trade is no trade
5) Never trade after a big loss. Tilt sets in, and you try to win it all back in one bad bet. Trying to recover everything at once is a guaranteed way to lose even more.
6) Never enter a position without an exit plan. Whether it’s a time-based stop, price stop, invalidation, or catalyst-driven exit—define it before you enter. Remember, the last moment of objectivity is before you place the trade.Once you’re in, it’s much harder to admit you’re wrong, so decide beforehand when to cut the loss.
7) Never marry your bags. The market doesn’t care about your conviction. Cut or be cut.
8) Never trade your PNL—trade the market. Chasing losses or fixating on past wins clouds judgment and distorts execution.
9) Not all views are meant to be traded. The best trade is often no trade. Preserving capital and mental bandwidth for when odds favor you is more important than forcing activity.
10) Never fight the trend. The wave is stronger than you. Adapt or get wiped out.
11) Never try to knife catch without reason. "Cheap" can always get cheaper.
12) Never break your trading rules or deviate from your plan in the heat of the moment. Your rules exist for a reason – usually learned from painful experience. The moment you convince yourself “just this once” to ignore a rule (like moving a stop, or doubling down, or trading too big), you open the door to chaos. Discipline is doing the right thing even when it’s hard. As one trading maxim goes, plan the trade and trade the plan.
13) Never fire all your bullets at once.
14) Never trade outside your comfort zone. If a position is too big, you’ll start making fear-based decisions, thinking that market or someone is trying to liquidate you seeing ghosts where none exists. Size your trades proportional to the quality of your sleep at night.
15) Never let ego keep you in a bad trade. Admit when you're wrong—cut, reset, move on.
16) Never underestimate market reflexivity. Strength can always go higher, weakness can always go lower.
17) Never assume liquidity will be there when you need it. The exit door is always smaller than you imagine—liquidity isn’t something you decide, the market does.
18) Never mistake randomness for strategy. Buying because price is going up or shorting because it “feels high” isn’t trading—it’s blind betting. Even with good risk management, you’ll bleed out over time if your entries are based on nothing.
19) Never make the same mistake twice. Trading mistakes are inevitable, repeating them is unacceptable. Never lose the same way twice
20) Never forget to play defense. Being wrong is acceptable, staying wrong is not. Protecting capital always comes first. "Don’t focus on making money; focus on protecting what you have.”
21) Never just focus on offense. Survival > everything. If you don’t bet, you can’t win. If you lose all your chips, you can’t bet.
22) Never fall into lifestyle creep after one big win. The problem starts when you begin forecasting annual income based on a single lucky trade.
23) Never forget to turn defensive after a hot streak. Big losses come after a series of wins when overconfidence sets in. Check your ego—your last big trade means nothing to the market.
24) Never let pride, ego, or overconfidence take over. Always stay humble.|
25) Never trade in situations where you don’t have control. for eg. FOMC events
26) Never get complacent. A strategy that worked in one regime may stop working in another. Trading is a craft that requires continuous self-improvement. Comfort Is Often the Enemy of your PNL. Never assume you know for sure what the market will do. “We have two classes of forecasters: those who don’t know — and those who don’t know that they don’t know.” Never assume your edge is permanent. Markets evolve, edges fade, and what worked last cycle may be useless in the next. Keep refining, keep testing—stagnation is death.
27) Never ever average losers after your reasoning has been invalidated
28) Never trade with certainty, trade with conviction.
29) Never assume the market “must” do something, especially based on recent patterns.The market doesn’t owe you continuity or logic. Just because a market has been rising (or falling) steadily doesn’t mean it can’t abruptly reverse. Avoid words like “surely” or “can’t possibly” in trading. Stay flexible – anything can happen. As a reminder: never say never about market behavior.
30) Never mistake win rate for everything. Maximizing winning trades for the sake of feeling good is a trap. Taking profits too early or avoiding necessary small losses ultimately hurts profitability.
31) Never underestimate discipline, patience, risk control, and execution over alpha generation. Plenty of traders have great alpha flow but don’t know how to use it.Good execution involves choosing not just what and how to trade, but when not to trade. Sometimes the best execution decision is no trade at all if conditions aren’t suitable. Always ask: “Do I have an edge here, or am I flipping coins?” If it’s the latter, save your capital for a better spot.
32) Never fall apart after a big loss or get euphoric after a big win. Emotional resilience is a trader’s strongest asset.
33)Never ignore price action after news. If the market reacts opposite to what you expected, get out. The market is telling you something you don’t see.
34) Never trade on borrowed conviction. If you buy on someone else’s tip, you’ll need them to call your exit too—and when they go silent, you’re stuck. As Livermore said: “Nobody makes big money on what someone else tells him to do.” Hone your own craft, build your own system. If you can’t trust your own decisions, you’re just a pawn in someone else’s trade.
35) Never go against your intuition. If something feels off, it usually is.
36) Never try to Catch Every Move It’s tempting to try to grab every up and down in the market, but that’s a fool’s errand. Always come from the mindset of abundance and not scarcity, markets will still be there and there are ample opportunities in the market to make you whole,
you don’t need to swing at every pitch.
37) Never underestimate the power of failure. Failing early and failing often—while staying in the game—is how you get better.
38) Never hold onto losers when your thesis is invalidated, especially after a massive drop. "I’ve lost too much to sell now" is how you go to zero.
39) Never let "getting back to break even" dictate your decisions. That mindset leads to overtrading and eventually, full liquidation.
40) Never focus only on entries. A trade isn’t over until you’ve exited. Knowing when to cash out is just as important as knowing when to enter.
41) Never ignore the “boring” part (position sizing, stops, risk/reward) – it’s what keeps you in business.Don’t wait for a catastrophic loss to teach you this lesson.
42) Never trade for the adrenaline rush, Trade for the win
43) Never fall into the illusion of strength—it’s often just lagging behind reality.
44) Never stay/enter in a position out of 'HOPE' and wishful thinking
45) Never underestimate risk management. Prioritize protecting capital over chasing profits. "Take care of your losses, and the profits will take care of themselves."
46) Never exit/enter a position recklessly. The same way you scale in, you should scale out—"all in, all out" is a recipe for disaster.
47) Never make a bet you can’t afford to lose. No single trade should ever be big enough to take you out of the game.“The most important advice is to never let a loser get out of hand.” You should be able to be wrong 20 or 30 times in a row and still have capital left. Never allow a single position to jeopardize your trading career
48) Never trade outside your edge. If it’s not there, sit out. Forcing trades outside your framework is how accounts erode.
49) Never assume your edge is permanent. Markets evolve, edges fade, and what worked last cycle may be useless in the next. Keep refining, keep testing—stagnation is death.
50) Never judge a trade solely by its outcome. Good trades lose money sometimes, and bad trades can get lucky. Focus on execution over results.
51) Never worry about looking stupid or staying in a position because of your public opinion. I have seen many a men die before their time because they were worried about getting publicly ashamed. Cut your losses without hesitation. The market doesn’t care about your pride—neither should you.
52) Never underestimate the power of stepping away. If you’re in a losing streak, liquidate everything and take a break. Mental capital is just as important as financial capital. The key is to break the negative emotional spiral
Once you come back keep your size small and increase exposure only when you gain back your confidence.
These lessons were learned thanks to the books I’ve read, the smart traders I’ve learned from, and the endless mistakes I’ve made along the way.
Trading is lonely. It hurts. It makes you question everything. But if I had to choose again? I’d still take this over everything.
j retweeted
Been a crazy day.
Really proud of the @mETHProtocol team and how we responded.
- 15,000 $cmETH recovered
- All $mETH and $cmETH remains fully backed by the underlying $ETH asset
User security will always be our no.1 priority.
We will emerge stronger.
mETH Protocol Update Regarding Bybit Security Incident 👇
On February 21, 2025, we were informed of a Bybit security incident resulting in the unauthorized withdrawal of mETH and cmETH from the exchange. The attacker executed multiple transactions to move assets off the platform.
• 8,000 mETH were swapped for ETH across three transactions via a DEX.
• 15,000 cmETH withdrawal was initiated via mETH Protocol but was not successfully completed.
What You Need to Know ↓
• Security measures worked as intended: The 8-hour withdrawal delay built into the protocol successfully prevented the exploiter from immediately withdrawing cmETH.
• No risk to Mantle or mETH Protocol: The breach occurred at Bybit; throughout the incident, Mantle and mETH Protocol remain secure, and user funds are safe.
What We Did to Mitigate the Impact ↓
• Paused cmETH withdrawals: The 8-hour withdrawal delay built into the protocol provided the team with critical response time to temporarily pause the contract, effectively stopping unauthorized withdrawals.
• Blacklisted exploiter address: The exploiter’s wallet addresses were blacklisted, preventing further cmETH transfers or interactions within the protocol.
• Reduced cmETH liquidity on Mantle Network L2: As an additional security measure to limit potential exposure.
• Recovered cmETH supply: 15,000 cmETH were recovered from the exploiter's address to a recovery address, reinstating the integrity of cmETH supply.
These measures ensured that the impact was contained, and no unauthorized cmETH exits occurred. cmETH contracts have since resumed and operations are back to normal.
We are here to support our community. If you have any questions or concerns, please reach out through our official channels.
Read our blog post here: methprotocol.xyz/blog/announ…
RT @signalXBT: the 4-phase theory of onchain narrative cycles
most onchain crypto categories have a lifecycle of four distinct phases
1)…





























