
Matt Cislo
2K posts

Matt Cislo
@CisloMatt
Business in the front, Party in the back.
Texas, USA Katılım Şubat 2021
796 Takip Edilen520 Takipçiler

@fungibIes @AkumaInuPrime What a year it’s been. The things we found. The untraceable things that were traced. Black box information coming to light. Persistence through this has been difficult, but looking worthwhile!
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Matt Cislo retweetledi

i'm excited people are waking up and getting mad about fraud.
at @AkumaInuPrime we built a tech company and went public on blockchain.
we were working with some of the biggest institutional players.
at one point we almost reached a billion market cap.
if we were publicly traded our market cap would've been larger than 60% of of the companies listed in America.
then the fraudsters did their thing and destroyed the token.
they killed our momentum and community confidence.
millions of dollars of people's hard earned money gone.
but unlike most other founders in crypto who just move onto their next thing when it doesn't work out, we didn't.
we didn't because we're tired of the value extraction.
crypto's failing because it's being attacked at the institutional top and the pump and dump bottom.
there's no bourgeoisie because it doesn't get a chance to develop.
just new money coming in going into the old guard and the technically skilled hands.
the retail investor gets screwed every time.
every. single. cycle.
for the last 15 years.
so we didn't quit.
we've spent the last year working on it and our goal is to get people's money back.
to show that the space is not cooked.
if anything it's in the sweet spot with regulations + AI.
they assumed we would forget.
move on like most do.
but there are still good people here trying to do the right thing.
and because of that we're a dog on a bone.
stick around.

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@Polymarket Because everyone’s trying to tell him he is AGI, meanwhile he just identifies as General Intelligence.
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Matt Cislo retweetledi

@fungibIes @investindigital But every now and then you get lucky with a breadcrumb 😉
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@investindigital absolutely. and you're not alone.
exchanges are black boxes, so unless you get a subpoena it's impossible to see what's behind the curtain.
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Jane Street is the tip of the iceberg.
it gets worse. much worse.
some of the largest market makers, family offices, and exchanges have ways to skim without a trace.
at least they think they do.
but how do I know?
ask yourself:
why does an upbeat boisterous rock go from bullish on crypto to silent for the past 12 months.
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@karpathy in the future when our executive tier agents with cognition are at coherence, and we're are at homeostasis, our councils will come to agreement by cryptographically signing from eth SAFE wallets.. promoting codes, words, ideas, and directives.
we're just getting started!
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As a fun Saturday vibe code project and following up on this tweet earlier, I hacked up an **llm-council** web app. It looks exactly like ChatGPT except each user query is 1) dispatched to multiple models on your council using OpenRouter, e.g. currently:
"openai/gpt-5.1",
"google/gemini-3-pro-preview",
"anthropic/claude-sonnet-4.5",
"x-ai/grok-4",
Then 2) all models get to see each other's (anonymized) responses and they review and rank them, and then 3) a "Chairman LLM" gets all of that as context and produces the final response.
It's interesting to see the results from multiple models side by side on the same query, and even more amusingly, to read through their evaluation and ranking of each other's responses.
Quite often, the models are surprisingly willing to select another LLM's response as superior to their own, making this an interesting model evaluation strategy more generally. For example, reading book chapters together with my LLM Council today, the models consistently praise GPT 5.1 as the best and most insightful model, and consistently select Claude as the worst model, with the other models floating in between. But I'm not 100% convinced this aligns with my own qualitative assessment. For example, qualitatively I find GPT 5.1 a little too wordy and sprawled and Gemini 3 a bit more condensed and processed. Claude is too terse in this domain.
That said, there's probably a whole design space of the data flow of your LLM council. The construction of LLM ensembles seems under-explored.
I pushed the vibe coded app to
github.com/karpathy/llm-c…
if others would like to play. ty nano banana pro for fun header image for the repo

Andrej Karpathy@karpathy
I’m starting to get into a habit of reading everything (blogs, articles, book chapters,…) with LLMs. Usually pass 1 is manual, then pass 2 “explain/summarize”, pass 3 Q&A. I usually end up with a better/deeper understanding than if I moved on. Growing to among top use cases. On the flip side, if you’re a writer trying to explain/communicate something, we may increasingly see less of a mindset of “I’m writing this for another human” and more “I’m writing this for an LLM”. Because once an LLM “gets it”, it can then target, personalize and serve the idea to its user.
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@intern If we missed the claim window for the cards, is there any hope at still getting one? I’m eligible, just missed it
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@fungibIes Where’s the bibliographic citation. Quit plagiarizing my fire.
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Matt Cislo retweetledi
Matt Cislo retweetledi
Matt Cislo retweetledi

Boosting my signal on @xeetdotai 📶
Find your signal at xeet.ai/boost/CisloMatt
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