Founder/Investor | Building w/ AI | Advisor @ChibiClash
Vancouver, British Columbia
Joined December 2013
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- Following1.5K
- Followers6.9K
- Likes9.1K
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When @ChibiClash was first created, our vision was to create a project that can utilize new technologies to push the boundaries of gaming. In these past 3.5 years, we continued to build and adapt while the landscape around us continued to evolve.
I am grateful to have met many friends throughout this journey. One such friend is @CottenIO, who first captured my attention with his early "AutoRPG" prototype. As we would go on to partner on the development of the Kingdoms meta game, I could see that our vision for the future of gaming x AI were very much aligned - and coming to the realization and Tim and his team had the tools to take the project further than I could ever imagine.
A new chapter for Chibi Clash begins with the project now flying the banner of the @scryptedinc team. I will continue to support the team to the best of my ability as an advisor, and look forward to seeing what unfolds in our ever-evolving on-chain gaming universe.
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This is what AI game dev should be about: original designs that integrate the technology into meaningful gameplay.
More of this and less cloning/one-shotting slop demos pls.
i'm a solo dev and i built an infinitely evolving backrooms game and released it on the web.
35,000 players and ~9,600 hours played. these are my metrics under 36 hours of launch.
each blue dot below is a player on the map i recorded a moment ago. there's ~1,200 players playing the game at THIS moment. SIMULTANEOUSLY. let that sink in.
this is incredible. we're entering a new era for sure.
note for video: only shows 200 players in total because my server chunks the shared space into worlds of 200, so 1200 players would be 6 different worlds and you're seeing one of em.
i'm building out a shared space server that can sustain 2000 players in a single world. launching real soon.
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Ted Mui retweeted
Judging by my tl there is a growing gap in understanding of AI capability.
The first issue I think is around recency and tier of use. I think a lot of people tried the free tier of ChatGPT somewhere last year and allowed it to inform their views on AI a little too much. This is a group of reactions laughing at various quirks of the models, hallucinations, etc. Yes I also saw the viral videos of OpenAI's Advanced Voice mode fumbling simple queries like "should I drive or walk to the carwash". The thing is that these free and old/deprecated models don't reflect the capability in the latest round of state of the art agentic models of this year, especially OpenAI Codex and Claude Code.
But that brings me to the second issue. Even if people paid $200/month to use the state of the art models, a lot of the capabilities are relatively "peaky" in highly technical areas. Typical queries around search, writing, advice, etc. are *not* the domain that has made the most noticeable and dramatic strides in capability. Partly, this is due to the technical details of reinforcement learning and its use of verifiable rewards. But partly, it's also because these use cases are not sufficiently prioritized by the companies in their hillclimbing because they don't lead to as much $$$ value. The goldmines are elsewhere, and the focus comes along.
So that brings me to the second group of people, who *both* 1) pay for and use the state of the art frontier agentic models (OpenAI Codex / Claude Code) and 2) do so professionally in technical domains like programming, math and research. This group of people is subject to the highest amount of "AI Psychosis" because the recent improvements in these domains as of this year have been nothing short of staggering. When you hand a computer terminal to one of these models, you can now watch them melt programming problems that you'd normally expect to take days/weeks of work. It's this second group of people that assigns a much greater gravity to the capabilities, their slope, and various cyber-related repercussions.
TLDR the people in these two groups are speaking past each other. It really is simultaneously the case that OpenAI's free and I think slightly orphaned (?) "Advanced Voice Mode" will fumble the dumbest questions in your Instagram's reels and *at the same time*, OpenAI's highest-tier and paid Codex model will go off for 1 hour to coherently restructure an entire code base, or find and exploit vulnerabilities in computer systems. This part really works and has made dramatic strides because 2 properties: 1) these domains offer explicit reward functions that are verifiable meaning they are easily amenable to reinforcement learning training (e.g. unit tests passed yes or no, in contrast to writing, which is much harder to explicitly judge), but also 2) they are a lot more valuable in b2b settings, meaning that the biggest fraction of the team is focused on improving them. So here we are.
Everyone is hyped about the TGE but I'm genuinely more excited to see MegaETH's real time oracles in action.
MegaETH is fast but they're completely missing why that speed actually matters for defi
let me explain the two problems that have been quietly killing onchain lending and why @megaeth might actually fix both
problem #1: liquidations take forever
you post $1500 eth to borrow $1000 usdc on aave. they make you over-collateralize by 50%. why?
not because they're being conservative. because liquidations take TIME
on normal chains: eth drops, liquidator sees you're at risk, submits tx, waits for blocks... 30+ seconds minimum
during those 30 seconds eth could drop another 5-10%. so protocols need fat safety buffers
that's why you're locked into 150% collateral ratios. the ratio isn't about the drop itself - it's about what happens DURING the liquidation window
problem #2: price feeds are stale
but even if blocks were instant, there's a second issue
oracles update on schedules. chainlink might push new prices every 5 seconds, or every 0.5% deviation, or whatever their heartbeat is
so even if your liquidation executes fast, you might be liquidating based on a price from 8 seconds ago
eth actually dropped to $5000 but your oracle still shows $5250? congrats you just let someone get liquidated at the wrong price. or worse DIDN'T liquidate when you should have
price staleness + slow execution = protocols have to be super defensive with collateral ratios
now here's where megaeth actually gets interesting
they're solving BOTH problems simultaneously and i don't think people realize how much this compounds
10ms block times = liquidation executes instantly native chainlink precompile = prices update in real-time when you READ them
that second part is nuts. the oracle isn't on a schedule anymore. when your contract calls for a price, it gets the CURRENT price. not "5 seconds ago" price. actual real-time market data
so the flow becomes:
eth drops
contract reads fresh price (happens instantly, not waiting for next update)
liquidation executes same block (10ms)
done
this is why the capital efficiency thing actually matters
if your liquidation risk window drops from 30 seconds to 10 milliseconds AND you have real-time prices?
you could run 110% collateral ratios. maybe even 105%
same $10k in eth: normal chain → borrow $6,666 (150% ratio) megaeth → borrow $9,090 (110% ratio)
that's $2,424 more capital efficiency from the exact same collateral
and it's not just "number go up" this changes the entire risk model
tighter ratios = lower borrow costs = higher lender yields = more tvl = deeper liquidity = better rates = more users
it's a flywheel that only works if you have both speed AND accurate prices
here's what this actually enables that you can't do today:
higher leverage without liquidation risk you could safely do 8-10x leverage loops because each step executes and rebalances instantly
perp dexes with accurate funding rates funding rates update based on real-time prices not stale feeds, so you don't get rekt by drift
options protocols with tight deltas when greeks update in real-time you can price options way more accurately
rwa lending with institutional requirements tradfi money managers have compliance requirements around liquidation speed and price accuracy. megaeth actually meets those requirements
my actual take on why this matters
for years defi has coped with "well the tech isn't there yet" whenever someone asks why borrow rates suck compared to cefi
the tech is there now. 10ms blocks + native oracles solves the fundamental infrastructure problems
if defi protocols on megaeth still can't compete with cefi rates after this? then we have to admit maybe it's not an infrastructure problem, it's a product problem
but i'm weirdly optimistic we're gonna see some wild shit
because once you remove technical constraints (slow blocks, stale prices, gas limits), the only limit is whether builders can actually design good financial products
the training wheels are off. now we find out if people can actually build defi that normies want to use
anyway this is why i'm paying attention to whatever lending protocols launch on megaeth
not because "ooh fast chain" but because the combination of instant execution + real-time oracles changes what's financially possible
tight collateral ratios, accurate liquidations, competitive rates - stuff that's been impossible becomes table stakes
and if defi can finally offer better capital efficiency than cefi? that's when institutional money actually flows onchain
not for "decentralization" or ideology. just because the numbers are better
/megaeth
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Super proud of what the @ChibiClash team has delivered over the past year.
2025 is going to be a blast ⚔️
ChatGPT Pro Max wen
Today we’re also adding ChatGPT Pro, a new plan that allows us to offer the best of our models & tools at scale, including unlimited access to OpenAI o1 and a Pro-only version of o1 that thinks longer for even more reliable responses. openai.com/index/introducing…
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Ted Mui retweeted
❄️ A Frosty Finale ❄️
Season 2 ended in a storm, and now voices ripple through the kingdoms...
What are they saying? 👀👂
Lands start to shiver…
Unseen powers awaken…
A foe turns loyal…
🔜
Ted Mui retweeted
TOP 4 MOST POPULAR GAMES ON BASE BLOCKCHAIN🎮🏆
Ranked by our #PlayToEarn score - a social metric that gauges community activity 📊
🔥@SuperChampsHQ
🔥@MaviaGame
🔥@juicy_adventure
🔥@ChibiClash
What #Web3Games would you recommend on @base? Comment below..💬💬
IYKYK⚔️
Top Web3 games to be paying attention to 🎮👀
Climbing the #PlayToEarn score rankings with the biggest increases in 24hrs📈🔥
@ChibiClash
@dexioprotocol
@VoxieTactics
@striker_manager
@NemesisGame_
@MAYGnft
@TWDAllStars
@katanainu
@SuperWalk_
@decimated_game
#gaming
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TL;DR summary of Binance Research's AI agents in Crypto Report below
👇
Could AI agents become the next big players in crypto markets?
Our latest #Binance research report dives into the convergence between AI agents and crypto, discussing its origins, major projects, challenges, and future implications.
Check it out ⬇️
binance.com/en/research/anal…
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