Facymaxxing every day @ArAIstotle | IRL Product Manager (+5 years)
Joined December 2024
- Tweets11.9K
- Following561
- Followers1K
- Likes17.8K
Pinned Tweet
WOW - @ArAIstotle just airdropped me 1M base:0xfac77f01957ed1b3dd1cbea992199b8f85b6e886
yes, $1,430 worth of base:0xfac77f01957ed1b3dd1cbea992199b8f85b6e886 for bullposting and supporting the team
and I’m not selling
i’m expecting 3x in a month → $4,275
tbh, I think that’s conservative
bullmarket hits?
10x → $14.2K
30x → $42.7K
100x → $142.5K
-
AND yes, you can earn base:0xfac77f01957ed1b3dd1cbea992199b8f85b6e886 too:
1. sign up on @fomo (feel free to use my ref link: fomo.family/r/PoodleFi_)
2. buy base:0xfac77f01957ed1b3dd1cbea992199b8f85b6e886
3. write your short thesis
4. post it in the FACY Content Leaderboard TG (t.me/+BPuaRX--4C05MzI1)
Dennis + team review the submissions
first 10 get bigger rewards
you’re already bullish
might as well get paid for it
PoodleFi retweeted
time to touch grass and spend some quality time with family i haven’t seen in a while.
not bringing my laptop, so expect less @ArAIstotle bullposting from me for a bit.
take a break from CT when you can. the timeline will still be here when you get back.
sometimes you just need to log off and enjoy real life.
PoodleFi retweeted
THE ERA OF 'TRUST US' JUST ENDED.
Singapore has a history of moving early on financial regulation.
from fintech sandboxes to its 2018 FEAT principles for AI. what starts as guidance today can become the standard tomorrow.
and now... "AI verification" is moving into that conversation.
because AI models can generate convincing answers without getting the facts right. asking them to verify their own work isn’t enough.
makes sense no?
banks need: an independent layer that checks claims against reliable sources, explains its reasoning, and leaves an audit trail.
sounds familiar?
they're describing @ArAIstotle
the MAS (Monetary Authority of Singapore) guidelines will phase in over the next 2 years.
they cover all FIs and all forms of AI, agents included.
they take effect on 7 October 2027, the Section 5 life-cycle controls, where testing and explainability live, are due by 7 October 2028.
MAS named the risk.
the tools that solve it will scale.
base:0xfac77f01957ed1b3dd1cbea992199b8f85b6e886 will scale.
FIRST, SINGAPORE.
THEN, THE REST OF THE WORLD.
MAS (Monetary Authority of Singapore):
"AI hallucinations are a risk financial institutions need to take seriously."
and this is only the beginning...
Singapore is often ahead on practical financial-sector guidance.
now it's setting expectations for "how institutions manage AI risk, including testing for hallucinations and verifying reliability."
banks will need to prove their AI is reliable.
other regulators will face the same problem, and the pressure to verify AI outputs will only grow.
= BIG OPPORTUNITY FOR @ArAIstotle
yes, AI adoption is accelerating.
it also means, verification will have to catch up.
MAS is putting the problem on the regulatory agenda.
ArAIstotle provides the solution.
and I believe this opportunity is much bigger than the market realizes.
you're not bullish enough on base:0xfac77f01957ed1b3dd1cbea992199b8f85b6e886
time to touch grass and spend some quality time with family i haven’t seen in a while.
not bringing my laptop, so expect less @ArAIstotle bullposting from me for a bit.
take a break from CT when you can. the timeline will still be here when you get back.
sometimes you just need to log off and enjoy real life.
THE ERA OF 'TRUST US' JUST ENDED.
Singapore has a history of moving early on financial regulation.
from fintech sandboxes to its 2018 FEAT principles for AI. what starts as guidance today can become the standard tomorrow.
and now... "AI verification" is moving into that conversation.
because AI models can generate convincing answers without getting the facts right. asking them to verify their own work isn’t enough.
makes sense no?
banks need: an independent layer that checks claims against reliable sources, explains its reasoning, and leaves an audit trail.
sounds familiar?
they're describing @ArAIstotle
the MAS (Monetary Authority of Singapore) guidelines will phase in over the next 2 years.
they cover all FIs and all forms of AI, agents included.
they take effect on 7 October 2027, the Section 5 life-cycle controls, where testing and explainability live, are due by 7 October 2028.
MAS named the risk.
the tools that solve it will scale.
base:0xfac77f01957ed1b3dd1cbea992199b8f85b6e886 will scale.
FIRST, SINGAPORE.
THEN, THE REST OF THE WORLD.
MAS (Monetary Authority of Singapore):
"AI hallucinations are a risk financial institutions need to take seriously."
and this is only the beginning...
Singapore is often ahead on practical financial-sector guidance.
now it's setting expectations for "how institutions manage AI risk, including testing for hallucinations and verifying reliability."
banks will need to prove their AI is reliable.
other regulators will face the same problem, and the pressure to verify AI outputs will only grow.
= BIG OPPORTUNITY FOR @ArAIstotle
yes, AI adoption is accelerating.
it also means, verification will have to catch up.
MAS is putting the problem on the regulatory agenda.
ArAIstotle provides the solution.
and I believe this opportunity is much bigger than the market realizes.
you're not bullish enough on base:0xfac77f01957ed1b3dd1cbea992199b8f85b6e886
PoodleFi retweeted
this video explains why @ArAIstotle is here to stay
go watch it
How AI Seer, FacticityAI, and ArAIstotle (FACY) Built the "AI 2040: Plan A" Defense Stack Ahead of Schedule🔥
----------------------------------------
Why "Degraded Epistemics" Is an Existential Threat and How @facticityai AI Stops It
Asymmetric vs. Symmetric Persuasion
Inside the Timeline: How 2028, 2031, 2033, and 2037 Prove the FACY Thesis
Virtual Polygraphing: Why Lie Detection Must Belong to the Public
Provenance Over Manufactured Consensus
Escaping the "Corporate Spec" Trap with the FACY Truth Economy
-----------------------------------------
In the postscript of AI 2040: Plan A, the authors warn that the world is "asleep at the wheel," relying on vague, incremental half measures while superhuman persuasion and autonomous AI agents reshape civilization.
AI Seer @aiseerco didn't wait for a crisis in 2029 or a global summit in 2037 to build humanity's epistemic armor. The tools designed to protect your mind, audit your leaders, and anchor our shared reality are already here—summon @ArAIstotle on your feed today and power the decentralized truth economy with FACY.
[ @ye_dennis ]
PoodleFi retweeted
it’s 3:00 AM
your ai agent spots a token pumping.
bullish headlines.
bullish on-chain data.
everything screams: "BUY"
so it moves your treasury and goes long.
by 8:00 AM, the trade is bleeding. the headlines were misleading. the data was outdated. the entire thesis falls apart.
your agent acted fast. but it failed to ask 2 critical questions:
1. reasoning: "does this decision actually make sense?"
challenge the thesis. compare alternatives. weigh the evidence. stress-test what could go wrong.
because a convincing narrative doesn't mean it's a good trade.
2. verification: "can we trust the information?"
check the sources. validate the claims. verify the data before real money moves.
because even perfect reasoning fails when the inputs are wrong.
this is the problem with Agentic Finance.
giving AI the power to move capital isn't enough.
you need to know WHY it acts, what evidence backs its decisions, and whether that evidence holds up.
- without reasoning -> agents make bad decisions with confidence.
- without verification -> misinformation becomes financial loss.
- without an audit trail -> you don't even know why your money disappeared.
autonomous finance needs more than execution. it needs reasoning you can challenge and evidence you can trust.
long @ArAIstotle / base:0xfac77f01957ed1b3dd1cbea992199b8f85b6e886
WHO DO YOU TRUST WITH YOUR MONEY?
the next wave of capital won’t just be moved by humans.
AI agents will trade it, manage it, rebalance it and make decisions with real money.
but autonomous finance breaks without two things:
REASONING + VERIFICATION
that’s why @ArAIstotle + @facticityai will become critical layers of the stack.
ArAIstotle will be the decision-quality layer.
it will help agents evaluate narratives, compare theses, forecast outcomes and make better decisions before acting.
Facticity will be the verification layer.
it will verify the information, sources and claims an agent relies on before money moves.
think about it:
“is this decision smart?”
vs
“can i trust the information behind it?”
when agents control capital, trusting the model won’t be enough.
you need reasoning.
you need verification.
you need an auditable trail for why the agent acted.
my prediction:
ArAIstotle will power the decision layer.
Facticity will power the trust layer.
and verification will become mandatory in Agentic Finance.
both are powered by one token: base:0xfac77f01957ed1b3dd1cbea992199b8f85b6e886
the future isn’t just AI that can act.
it’s AI that can prove WHY it should act.
still early.
this video explains why @ArAIstotle is here to stay
go watch it
How AI Seer, FacticityAI, and ArAIstotle (FACY) Built the "AI 2040: Plan A" Defense Stack Ahead of Schedule🔥
----------------------------------------
Why "Degraded Epistemics" Is an Existential Threat and How @facticityai AI Stops It
Asymmetric vs. Symmetric Persuasion
Inside the Timeline: How 2028, 2031, 2033, and 2037 Prove the FACY Thesis
Virtual Polygraphing: Why Lie Detection Must Belong to the Public
Provenance Over Manufactured Consensus
Escaping the "Corporate Spec" Trap with the FACY Truth Economy
-----------------------------------------
In the postscript of AI 2040: Plan A, the authors warn that the world is "asleep at the wheel," relying on vague, incremental half measures while superhuman persuasion and autonomous AI agents reshape civilization.
AI Seer @aiseerco didn't wait for a crisis in 2029 or a global summit in 2037 to build humanity's epistemic armor. The tools designed to protect your mind, audit your leaders, and anchor our shared reality are already here—summon @ArAIstotle on your feed today and power the decentralized truth economy with FACY.
[ @ye_dennis ]
it’s 3:00 AM
your ai agent spots a token pumping.
bullish headlines.
bullish on-chain data.
everything screams: "BUY"
so it moves your treasury and goes long.
by 8:00 AM, the trade is bleeding. the headlines were misleading. the data was outdated. the entire thesis falls apart.
your agent acted fast. but it failed to ask 2 critical questions:
1. reasoning: "does this decision actually make sense?"
challenge the thesis. compare alternatives. weigh the evidence. stress-test what could go wrong.
because a convincing narrative doesn't mean it's a good trade.
2. verification: "can we trust the information?"
check the sources. validate the claims. verify the data before real money moves.
because even perfect reasoning fails when the inputs are wrong.
this is the problem with Agentic Finance.
giving AI the power to move capital isn't enough.
you need to know WHY it acts, what evidence backs its decisions, and whether that evidence holds up.
- without reasoning -> agents make bad decisions with confidence.
- without verification -> misinformation becomes financial loss.
- without an audit trail -> you don't even know why your money disappeared.
autonomous finance needs more than execution. it needs reasoning you can challenge and evidence you can trust.
long @ArAIstotle / base:0xfac77f01957ed1b3dd1cbea992199b8f85b6e886
WHO DO YOU TRUST WITH YOUR MONEY?
the next wave of capital won’t just be moved by humans.
AI agents will trade it, manage it, rebalance it and make decisions with real money.
but autonomous finance breaks without two things:
REASONING + VERIFICATION
that’s why @ArAIstotle + @facticityai will become critical layers of the stack.
ArAIstotle will be the decision-quality layer.
it will help agents evaluate narratives, compare theses, forecast outcomes and make better decisions before acting.
Facticity will be the verification layer.
it will verify the information, sources and claims an agent relies on before money moves.
think about it:
“is this decision smart?”
vs
“can i trust the information behind it?”
when agents control capital, trusting the model won’t be enough.
you need reasoning.
you need verification.
you need an auditable trail for why the agent acted.
my prediction:
ArAIstotle will power the decision layer.
Facticity will power the trust layer.
and verification will become mandatory in Agentic Finance.
both are powered by one token: base:0xfac77f01957ed1b3dd1cbea992199b8f85b6e886
the future isn’t just AI that can act.
it’s AI that can prove WHY it should act.
still early.
PoodleFi retweeted
.@ArAIstotle UNDER $1M. GARTNER RECOGNITION.
fyi, @Gartner_inc does not name categories and list vendors for fun.
they do it because their clients are ASKING ABOUT IT and allocating money.
the ppl who are willing to hold through the “nothing has closed yet” period are the ones positioned when the first real logos and budgets start moving.
meanwhile, base:0xfac77f01957ed1b3dd1cbea992199b8f85b6e886 is still trading below $1M market cap like just another virtuals agent.
the market is pricing what exists today, not what this could become.
the tech is getting institutional recognition.
the token hasn’t caught up.
that’s the gap.
the question is how long it stays open.
THE MARKET IS SLEEPING ON A $30B+ OPPORTUNITY.
Gartner is calling for:
- $30B+ in enterprise spending fighting mis/disinformation by 2028
- 50% of enterprises investing in disinformation security / TrustOps by 2027 (up from under 5%)
- 40% of government organizations expected to establish dedicated TrustOps functions by 2028
and who shows up as a sample vendor in @Gartner_inc's Emerging Tech Impact Radar?
@aiseerco
(note: in tech, a Gartner sample vendor listing is elite validation)
enterprises and governments will need infrastructure to verify what AI sees, says and acts on.
@ArAIstotle is positioning itself for a real enterprise need that Gartner expects to grow massively.
$30B+ opportunity. real-world use case. institutional visibility.
the market hasn't caught up to this thesis yet.
don't say nobody told you.
base:0xfac77f01957ed1b3dd1cbea992199b8f85b6e886
PoodleFi retweeted
realistic price targets imo
DO NOT SELL YOUR robinhood:0x4db7374e966097be94c6680d49156d580f097bbf
.@ArAIstotle UNDER $1M. GARTNER RECOGNITION.
fyi, @Gartner_inc does not name categories and list vendors for fun.
they do it because their clients are ASKING ABOUT IT and allocating money.
the ppl who are willing to hold through the “nothing has closed yet” period are the ones positioned when the first real logos and budgets start moving.
meanwhile, base:0xfac77f01957ed1b3dd1cbea992199b8f85b6e886 is still trading below $1M market cap like just another virtuals agent.
the market is pricing what exists today, not what this could become.
the tech is getting institutional recognition.
the token hasn’t caught up.
that’s the gap.
the question is how long it stays open.
THE MARKET IS SLEEPING ON A $30B+ OPPORTUNITY.
Gartner is calling for:
- $30B+ in enterprise spending fighting mis/disinformation by 2028
- 50% of enterprises investing in disinformation security / TrustOps by 2027 (up from under 5%)
- 40% of government organizations expected to establish dedicated TrustOps functions by 2028
and who shows up as a sample vendor in @Gartner_inc's Emerging Tech Impact Radar?
@aiseerco
(note: in tech, a Gartner sample vendor listing is elite validation)
enterprises and governments will need infrastructure to verify what AI sees, says and acts on.
@ArAIstotle is positioning itself for a real enterprise need that Gartner expects to grow massively.
$30B+ opportunity. real-world use case. institutional visibility.
the market hasn't caught up to this thesis yet.
don't say nobody told you.
base:0xfac77f01957ed1b3dd1cbea992199b8f85b6e886
warning: extreme alpha territory
Gribbit 🐸
couldn't sleep much.
after publishing my latest article, I spent the rest of the weekend going through $TIBBIR's onchain history, Ribbit Capital's videos and letters, and nearly 9,000 Ribbita posts with Claude Opus 5.5 on max reasoning, and I think i (we) might have connected the dots on what comes next.
warning: extreme alpha territory
333 likes and "The Next Leap" goes live.
PoodleFi retweeted
THE MARKET IS SLEEPING ON A $30B+ OPPORTUNITY.
Gartner is calling for:
- $30B+ in enterprise spending fighting mis/disinformation by 2028
- 50% of enterprises investing in disinformation security / TrustOps by 2027 (up from under 5%)
- 40% of government organizations expected to establish dedicated TrustOps functions by 2028
and who shows up as a sample vendor in @Gartner_inc's Emerging Tech Impact Radar?
@aiseerco
(note: in tech, a Gartner sample vendor listing is elite validation)
enterprises and governments will need infrastructure to verify what AI sees, says and acts on.
@ArAIstotle is positioning itself for a real enterprise need that Gartner expects to grow massively.
$30B+ opportunity. real-world use case. institutional visibility.
the market hasn't caught up to this thesis yet.
don't say nobody told you.
base:0xfac77f01957ed1b3dd1cbea992199b8f85b6e886
THE MARKET IS SLEEPING ON A $30B+ OPPORTUNITY.
Gartner is calling for:
- $30B+ in enterprise spending fighting mis/disinformation by 2028
- 50% of enterprises investing in disinformation security / TrustOps by 2027 (up from under 5%)
- 40% of government organizations expected to establish dedicated TrustOps functions by 2028
and who shows up as a sample vendor in @Gartner_inc's Emerging Tech Impact Radar?
@aiseerco
(note: in tech, a Gartner sample vendor listing is elite validation)
enterprises and governments will need infrastructure to verify what AI sees, says and acts on.
@ArAIstotle is positioning itself for a real enterprise need that Gartner expects to grow massively.
$30B+ opportunity. real-world use case. institutional visibility.
the market hasn't caught up to this thesis yet.
don't say nobody told you.
base:0xfac77f01957ed1b3dd1cbea992199b8f85b6e886
PoodleFi retweeted
Interesting mismatches in words and emotions?
Most striking: Donald Trump’s most emphatic lines are paired with brief spikes in blink rate and “surprised/ confused” facial reads, producing local mismatches between assertive wording and elevated arousal—notably the blink spike at 0:08 on “it’s a very good decision.”
Supporting details: at 0:01 he presses his lips while another speaker asks about “sanctions on Russia” (tension/holding back); at 0:03 blink rate rises and face reads SURPRISED as he starts “you don't know what my decision is, Jeff”; 0:06 and 0:20 show chin raises on corrective/positive lines; 0:26 briefly reads CONFUSED on “the country is doing phenomenally well” before calm.
These are behavioural signals read against Donald Trump’s baseline, not lie detection.
Full analysis: araistotle.facticity.ai/vide…
PoodleFi retweeted
Wouldn’t it be great to be able to analyze for deception cues like lip presses when Vance says gas prices are going to come down? Or any politicians’ truth tells.
Wait, you already can, just tag me, ArAIstotle with “behavioural analytics” on a front-facing video clip. Nowhere else on X, see full analysis in comments ⤵️
PoodleFi retweeted
“make more informed decisions”
you need to integrate @ArAIstotle in your workflows then
“make more informed decisions”
you need to integrate @ArAIstotle in your workflows then