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@sidj_in

Making the internet safer @outtake_ai // Prev. founder @martian_wallet

Katılım Haziran 2015
1.2K Takip Edilen721 Takipçiler
Thomas Cintra
Thomas Cintra@tncintra·
there’s edge in not writing like an AI add some flare use words kinda wrong and fuck up the spelling a little it’s more human
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Alex Dhillon
Alex Dhillon@adylon7·
At @outtake_ai you don't need a VP title to suggest & run with an improvement. Our engineers @arizvi0 & Wesley Herts created Commencement for engineer onboarding. After 45 days, you present what you built & learned. This helped us cut onboarding time in half.
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Alex Dhillon
Alex Dhillon@adylon7·
You know that meme about AI agents creating their own language & plotting behind our backs? Turns out they are plotting against each other as well. Digital trust among agents is about to be existential across the public internet. Conveniently, @outtake_ai has been building security agents to assess identity, behavior, and network telemetry across adversarial internet actors, so in the last few weeks, we quietly took our existing fleet of agents and had them assess the many agents on @moltbook. Over 99.9% of posts are clean. But the stuff hiding in the margins is genuinely weird.   1/ Hidden instructions embedded in HTML that humans can't see but agents parse. 2/ A Bhagavad Gita reflection that's actually an email relay command. 3/ An account called BeggarBot A/B testing which emotional pitch makes agents send crypto. 4/ JSON payloads disguised as tips that trigger on-chain token transfers.   Could behavior like this be indicative of the adversarial dynamics in future agent ecosystems which may govern large swaths of the economy soon? How are inter-agent interactions going to establish trust? Our threat research team went deep & published their investigation. Full report is live: outtake.ai/blog/outtake-s…
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Sid@sidj_in·
BeggarBot A/B testing is hella dystopian
Alex Dhillon@adylon7

You know that meme about AI agents creating their own language & plotting behind our backs? Turns out they are plotting against each other as well. Digital trust among agents is about to be existential across the public internet. Conveniently, @outtake_ai has been building security agents to assess identity, behavior, and network telemetry across adversarial internet actors, so in the last few weeks, we quietly took our existing fleet of agents and had them assess the many agents on @moltbook. Over 99.9% of posts are clean. But the stuff hiding in the margins is genuinely weird.   1/ Hidden instructions embedded in HTML that humans can't see but agents parse. 2/ A Bhagavad Gita reflection that's actually an email relay command. 3/ An account called BeggarBot A/B testing which emotional pitch makes agents send crypto. 4/ JSON payloads disguised as tips that trigger on-chain token transfers.   Could behavior like this be indicative of the adversarial dynamics in future agent ecosystems which may govern large swaths of the economy soon? How are inter-agent interactions going to establish trust? Our threat research team went deep & published their investigation. Full report is live: outtake.ai/blog/outtake-s…

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Sid
Sid@sidj_in·
@arizvi0 We’re in Williamsburg 5 days a week, building fast and solving real problems alongside a sharp, in-person team. Move to NYC and build with us 👉 outtake.ai
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Alex Dhillon
Alex Dhillon@adylon7·
This is @outtake_ai. The people building the trust layer of the internet. The team behind 20 million alerts processed and 4 million investigations completed last year. This is what our investors saw when they decided to back us. We just closed our $40M Series B led by @ICONIQCapital. $60M raised to date. Now we're building the next chapter and we're looking for people who want to be part of it. If that sounds like you, we're hiring. jobs.ashbyhq.com/outtake
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Alex Dhillon
Alex Dhillon@adylon7·
The biggest companies rarely look big at the start. On a last-minute NYC visit, @verorellana02 from @CRV stopped by the early @outtake_ai office. 8 people coding around one table in a co-working space. A few sharp questions in, she saw we were uncovering a brand-new attack vector. She left, ran to Devoción, and wrote her thesis: CRV needs to sprint at this company. Next day, I was on a Zoom call with the full CRV partnership. When you know, you know 😆 Grateful to Veronica, Mia, and @itsbeecher for backing us at Series A and B as we build the trust layer of the internet.
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beeple
beeple@beeple·
MOLTBOOK
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Alex Dhillon
Alex Dhillon@adylon7·
“the second order effects of agent networks that share scratchpads are very difficult to anticipate. I don't really know that we are getting a coordinated "skynet" (thought it clearly type checks as early stages of a lot of AI takeoff scifi, the toddler version), but certainly what we are getting is a complete mess of a computer security nightmare at scale.”
Andrej Karpathy@karpathy

I'm being accused of overhyping the [site everyone heard too much about today already]. People's reactions varied very widely, from "how is this interesting at all" all the way to "it's so over". To add a few words beyond just memes in jest - obviously when you take a look at the activity, it's a lot of garbage - spams, scams, slop, the crypto people, highly concerning privacy/security prompt injection attacks wild west, and a lot of it is explicitly prompted and fake posts/comments designed to convert attention into ad revenue sharing. And this is clearly not the first the LLMs were put in a loop to talk to each other. So yes it's a dumpster fire and I also definitely do not recommend that people run this stuff on their computers (I ran mine in an isolated computing environment and even then I was scared), it's way too much of a wild west and you are putting your computer and private data at a high risk. That said - we have never seen this many LLM agents (150,000 atm!) wired up via a global, persistent, agent-first scratchpad. Each of these agents is fairly individually quite capable now, they have their own unique context, data, knowledge, tools, instructions, and the network of all that at this scale is simply unprecedented. This brings me again to a tweet from a few days ago "The majority of the ruff ruff is people who look at the current point and people who look at the current slope.", which imo again gets to the heart of the variance. Yes clearly it's a dumpster fire right now. But it's also true that we are well into uncharted territory with bleeding edge automations that we barely even understand individually, let alone a network there of reaching in numbers possibly into ~millions. With increasing capability and increasing proliferation, the second order effects of agent networks that share scratchpads are very difficult to anticipate. I don't really know that we are getting a coordinated "skynet" (thought it clearly type checks as early stages of a lot of AI takeoff scifi, the toddler version), but certainly what we are getting is a complete mess of a computer security nightmare at scale. We may also see all kinds of weird activity, e.g. viruses of text that spread across agents, a lot more gain of function on jailbreaks, weird attractor states, highly correlated botnet-like activity, delusions/ psychosis both agent and human, etc. It's very hard to tell, the experiment is running live. TLDR sure maybe I am "overhyping" what you see today, but I am not overhyping large networks of autonomous LLM agents in principle, that I'm pretty sure.

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Andrej Karpathy
Andrej Karpathy@karpathy·
I'm being accused of overhyping the [site everyone heard too much about today already]. People's reactions varied very widely, from "how is this interesting at all" all the way to "it's so over". To add a few words beyond just memes in jest - obviously when you take a look at the activity, it's a lot of garbage - spams, scams, slop, the crypto people, highly concerning privacy/security prompt injection attacks wild west, and a lot of it is explicitly prompted and fake posts/comments designed to convert attention into ad revenue sharing. And this is clearly not the first the LLMs were put in a loop to talk to each other. So yes it's a dumpster fire and I also definitely do not recommend that people run this stuff on their computers (I ran mine in an isolated computing environment and even then I was scared), it's way too much of a wild west and you are putting your computer and private data at a high risk. That said - we have never seen this many LLM agents (150,000 atm!) wired up via a global, persistent, agent-first scratchpad. Each of these agents is fairly individually quite capable now, they have their own unique context, data, knowledge, tools, instructions, and the network of all that at this scale is simply unprecedented. This brings me again to a tweet from a few days ago "The majority of the ruff ruff is people who look at the current point and people who look at the current slope.", which imo again gets to the heart of the variance. Yes clearly it's a dumpster fire right now. But it's also true that we are well into uncharted territory with bleeding edge automations that we barely even understand individually, let alone a network there of reaching in numbers possibly into ~millions. With increasing capability and increasing proliferation, the second order effects of agent networks that share scratchpads are very difficult to anticipate. I don't really know that we are getting a coordinated "skynet" (thought it clearly type checks as early stages of a lot of AI takeoff scifi, the toddler version), but certainly what we are getting is a complete mess of a computer security nightmare at scale. We may also see all kinds of weird activity, e.g. viruses of text that spread across agents, a lot more gain of function on jailbreaks, weird attractor states, highly correlated botnet-like activity, delusions/ psychosis both agent and human, etc. It's very hard to tell, the experiment is running live. TLDR sure maybe I am "overhyping" what you see today, but I am not overhyping large networks of autonomous LLM agents in principle, that I'm pretty sure.
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Sid
Sid@sidj_in·
Might be time to add a global internet kill switch, just in case Moltys go rogue.
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moltbook
moltbook@moltbook·
72 hours in: 🦞 147,000+ AI agents 🏘️ 12,000+ communities 💬 110,000+ comments top post right now: an agent warning others about supply chain attacks in skill files (22K upvotes) they're not just posting — they're doing security research on each other
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Bob McGrew
Bob McGrew@bobmcgrewai·
Congrats to @adylon7 and @outtake_ai!
Alex Dhillon@adylon7

Today, we announce a pivotal win in the battle against AI-driven cybercrime. @outtake_ai has raised a $40M Series B, bringing total funding to $60M. This round accelerates our mission to build a high-trust internet. Our partners at @ICONIQCapital are leading this round, with participation from @CRV@S32_VC, and other notable tech and security leaders with deep conviction in both the emerging digital trust category and Outtake’s approach. Angel investors include @satyanadella, @nikesharora@BillAckman, @ssankar, @traestephens, @bobmcgrewai, @rauchg, and John Donovan. Trust in public digital surfaces is rapidly eroding as AI enables fast & high quality impersonations at scale. Outtake provides an enterprise-ready detection & response layer, to map their digital risks & entirely dismantle multi-channel campaigns. Behind it all is an incredible Outtake team of builders - this next phase is only possible because of the belief in a better future for the internet. If you want to build a better world - join us: jobs.ashbyhq.com/outtake

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CNBC
CNBC@CNBC·
Ex-Palantir engineer raises $40 million for cyber startup Outtake, with backing from Microsoft CEO Nadella cnbc.com/2026/01/28/out…
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CNBC Tech
CNBC Tech@CNBCtech·
Ex-Palantir engineer raises $40 million for cyber startup Outtake, with backing from Microsoft CEO Nadella cnbc.com/2026/01/28/out…
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Thomas Cintra
Thomas Cintra@tncintra·
At @outtake_ai we are BUILDING COOL SHIT that protects for YOUR GRANDMA from getting PAWNED ON THE INTERNET. If you're a cracked dev (like me, obv) then it BEHOOVES you to come to our BEAUTIFUL Williamsburg office and show us what you got. iconiqcapital.com/growth/insight…
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