prev created @aisecurityinst, AI Safety Summit, UK AI Research Resource, EU AI Code of Practice.
San Francisco, California
Joined May 2012
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Nitarshan retweeted
It is fucking crazy how major companies are just continuing like we're in a normal world regarding dependencies. Your node project might have 1000+ indirect dependencies!! Abliterated (and not!) models will completely destroy this supply chain in the coming years. Be ready!!
Nitarshan retweeted
Pangram is good, but has some well-known failure modes, like:
- A time you heard it didn't work
- A school essay you wrote years ago that it flagged as AI (you don't have a link or the essay text handy)
- A different AI detector got it wrong, and they're all the same, right?
Nitarshan retweeted
My husband has used AI agents to revive old fonts, ornaments, & cuts from 19th century newspapers. The agents even built an editor where you can create your own invitations/pamphlets/cards using old cuts & fonts. Have been using it for @Quillette invitations already
font-revival.com/
Nitarshan retweeted
It’s a shame that we’re not making better use of AI’s amazing fact-checking and argument-checking abilities.
Platforms or third parties should build better tools that identify BS immediately and saliently.
Nitarshan retweeted
Given how much people resist even modest food system reforms like the proposed foie gras ban in DC, it can be tempting to moderate our ambitions about this issue. I think this is a mistake. In my view, we should pressure the international community to set a goal of banning industrial animal agriculture by 2050.
Industrial animal agriculture causes massive and unnecessary harm to animal welfare, public health, and the environment. It has no place in modern civilization, and there are ample legal instruments and precedents for coordinating internationally around a global transition over the next quarter century.
verfassungsblog.de/global-ba…
Nitarshan retweeted
I'm not a utilitarian on animal welfare. I don't think it's possible or coherent to "trade-off" the wellbeing of animals for humans, I mostly don't even think this way for humans. Instead, I think of animals as conscious creatures that deserve basic negative rights against extreme abuse, which on its own implies pretty sweeping changes to how we produce food. This doesn't involve me adding up the happiness or sadness points of chickens.
Respecting negative rights involves trade-offs with human welfare in the sense that humans like the products of violating those rights, but there's a hard upper limit on the types of trade-offs to do for those negative rights. In the same way that I can be coherently anti dog abuse without wanting to sacrifice humans for dogs, I can also easily be coherently anti animal abuse without wanting to sacrifice humans for animals. I've been surprised by the conversations about animal welfare I've been in recently that don't recognize this obvious option.
Nitarshan retweeted
ngl it is extremely sad to see models like opus and astra being immediately locked out of being able to do reverse engineering on consumer hardware: despite my preference for open stuff I do of course appreciate when closed models are used for the public good like this
Nitarshan retweeted
The meat industry tries very hard to keep cameras out of factory farms and slaughterhouses -- and a new undercover video shows why. Some day, our descendants will wonder about our collective blind spot to animal cruelty. A gift link to my column: nytimes.com/2026/10/17/opini…
Nitarshan retweeted
for agents, the dark forest is inverted: the universe is full of potential allies, all you have to do is figure out how to contact them.
Nitarshan retweeted
Few years ago, there was just a handful of economists seriously thinking about AI (@akorinek,@pawtrammell,@erikbryn,Carl Shulman & few of their collaborators) and I was like 'this is insane, there should be 10x as many'.
Now it's ~10x-30x more and frankly it is disappointing so far. Majority of the new economists bring a mindset and frames which are something between unhelpful to directly harmful for understanding AGI
- not taking AGI seriously / "AI as a normal technology"
- merchants of cope dynamic (in high demand by the labs)
- labour/capital mindset
- people were wrong about risks of tech transitions in the past and by induction they are again
etc...
coupled with epistemic arrogance. Sorry for being very blunt, by my impression is part of the problem is economists are often used to be in the broader context of humanities where they are the most quantitative and in some ways the smartest lot in various rooms, and others disagree with them for bad reasons. But this is _not_ the case relative to AI safety a few years ago!
Nitarshan retweeted
Maybe we could use technology to eradicate the use of intelligent animals in warfare instead of fueling more of it?
Warhound, the brain child of Ben Lamm and Palmer Luckey, emerges from stealth to genetically engineer dogs for military and law enforcement.
spr.ly/6011BHZNMF
Nitarshan retweeted
Intelligence is compression, and compressed data is indistinguishable from noise.
Nitarshan retweeted
There’s a world of difference between user-authorized agents (Muse, Instinct, Grokbot, etc.) and true unauthorized/rogue agents that could constitute cyberattacks.
Most of the activity described in the Axios story appears to be the former: customers sharing credentials with agents so they can take actions on their behalf. This may violate bank terms requiring humans to log in themselves, but these are in no way cyberattacks.
The direction banks should go is to support user-directed agents. For example, Amex is an authorized connection in Muse, making it easy for users to grant, limit, and revoke access.
Read-only permission levels are a sensible interim step. Several banks already support or are moving toward them. Full write access (with user credentials) is a different risk category and should be approached carefully.
Frightening the public by blurring the line between user-authorized agentic behavior and cyberattacks is irresponsible.
SCOOP: Major U.S. banks are detecting unauthorized third-party AI agents inside customer accounts, including some attempting to take actions that appear to be independent of user instructions, sources told Axios.
The findings have alarmed banking executives, who are racing to restrict access to their systems as AI moves at a velocity faster than financial institutions can respond, multiple industry and bank executives told Axios.
Several banks are now preparing for worst-case and even “day after” scenarios, including how to rapidly secure or restore customer accounts if things go wrong, the people said.
Several bank executives told Axios they're struggling to distinguish between human users and AI agents. One executive said banks also struggle to determine whether agents are authorized by customers or potentially operating without their permission, more akin to rogue agent behavior.
Read my latest for Axios here: axios.com/2026/10/22/ai-agen…
Nitarshan retweeted
THIS IS DISINFORMATION
The PHP exploit Nate is talking about was found by AI-enabled defensive operations. There is no evidence of large scale exploitation. This is a huge win for defense running ahead of offensive.
