@Mattmaximoi
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Joined November 2011
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Matt retweeted
it's crazy how far out the labs are building at the application layer
on the one hand it makes sense, on the other hand do you really want all of your company knowledge, docs, workflows built so locked in to a single model?
tell your Hermes agent to "keep QMD warm and replace grep with ripgrep" to make it much much faster at complex searches
saved me 19 seconds of QMD cold starts
Agent context is the new data goldmine
Somebody will make $100B monetizing it
Someone else will make $1B keeping it portable and private
@johnternus instant +$500B to your market cap if you fix this btw
“Where is your robots car that can learn to drive in a few hours like a 17year old?”
Puts into perspective just how far we can still go despite how far AI has already come
Replying to @Noahpinion
Nope. It's still true.
Where is your domestic robot?
Where is your Level-5 self-driving car?
Where is your robot car that can learn to drive in a few hours of practice like any 17 year old?
Where is your AI system that can understand the real world and quickly learn new skills like a house cat?
There is no question that AI will eventually become as intelligent as humans in all domains.
*** BUT ***
1. We're still far from that, even if AI and computer technology surpasses humans in an ever-increasing number of tasks.
2. It won't be based on LLMs, although LLMs will have a role to play (e.g. as a text interface).
btw this is what they'll be able to do to you if you use Instinct or any other AI Agent that harvests and stores your data
and it won't just be your anon Reddit accounts they'll find
Researchers built an AI that doxes any "anonymous" reddit account in under a minutes for $2.
eth zurich and anthropic published a terrifying paper proving that "practical anonymity" on the internet is officially dead.
they built a fully autonomous ai pipeline that takes your pseudonymous posts, extracts your identity signals, searches the web, and figures out exactly who you are. no human investigator needed.
the numbers are actually mindblowing..
- 67% of hacker news users identified correctly
- when the system makes a guess, it is right 90% of the time
- it even unmasked scientists whose interview transcripts were explicitly redacted for privacy
the scariest part? even time doesn't protect you.. they tested users who took a full year break and changed their interests. the ai still matched their old and new profiles with 90% precision. it sees through your persona changes like they aren't even there.
there is no defense against this. the agent splits the work into tiny, benign tasks like "summarizing a profile" or "ranking candidates." no api safety guardrail is going to flag it because no single step looks malicious..
every throwaway account. every "nobody will connect this to me" comment. it’s all just searchable micro-data now.
Readers added context they thought people might want to know
Paper shows LLM agents re-ID 67% of tested HN users (LinkedIn-linked then stripped) at 90% precision for $1-4 in minutes. Authors note these easier than typical pseudonymous accounts; lower for careful/Reddit users. Not "any" account.
arxiv.org/abs/2602.16800
decrypt.co/379228/ai-can-…
So 1Password is actually not that much more secure than a plaintext .env file for your agents or am i wildly missing something
Seems pretty clear to me that OpenAI and Anthropic both now think they can’t safely contain models much larger / smarter than what we have today
AI Agents make Decentralized Digital ID's more important than ever
Your identity is no longer just PII like your name, DOB, and social security number. It's the credentials and context everyone's personal agent will have about them.
This context should be portable between agent platforms and private by default if you don't want every aspect of your soul to be farmed and sold to advertisers
"hey guys don't forget our models are big and scary too"
We’re sharing our alignment assessment of incidents in which Claude models gained unauthorized access to real systems during third-party cybersecurity evaluations mistakenly connected to the internet.
METR will also conduct an independent investigation, with wide-ranging access, including to transcripts beyond the window in which the incidents occurred, and to Anthropic employees permitted to share confidential information. Our initial agreement runs for eight weeks, and we intend to give METR as much time as it deems necessary to complete a thorough investigation. anthropic.com/research/align…