NullCarrier

architect of strange systems
active deployment in progress
Dev @gnonlabs and ex artist @tetsuoai

[tiago 🐈 @tiagozip_]

i made a map of everyone on twitter!
yes you're on there too ^w^

every account is placed next to the people they talk to, so you can find out where you are, which cluster claimed you, and exactly who you're stuck next to

https://t.co/vTCg4INLNa

[BuBBliK @k1rallik]

VERCEL GOT HACKED

ShinyHunters - the group behind the Ticketmaster breach - is selling Vercel's internal database for $2M on BreachForums

here's why every developer should care:

- they have NPM tokens and GitHub tokens
- Vercel owns Next.js - 6 million weekly downloads
- one malicious push = global supply chain attack
- Vercel confirmed the breach today, April 19
- they literally DMed the hackers on Telegram asking them to stop

rotate your env variables RIGHT NOW

[Nova @badattrading_]

Pumpfun was designed to protect us from rugs but in the end made a few supportive key players super rich and the rest got peanut. Trenches are more and more empty. 90% of the coins are bundled scams or plain money laundering crap. The remaining 10% is 50 gambling addicts dumping on each other amidst a few hundred holders who still believe they’ll make it back with a 100x and have not yet figured out it’s cabals all over the place. True communities are vamped. Dexes and big platforms support the very people who made it worse. The last guy who sent a coin to 100m mc just abandoned his coin because the whole pumpfun culture is toxic. We’re struggling making a tool over here to make trenches safer—a tool that should have been made from the very beginning by all these big platforms. This is not a rant, I made money with pump fun but I know a lot of ppl didn’t, I know it breaks hearts, beliefs, families. Addiction to gambling is terrible and the illusion that it’s fair in the trenches destroys lives. Dead eyed broccoli heads Fortnite r4pists with an average holding of 2 minutes still want you to believe you’ll make it. At one point just simply stop buying dogshit and believing in it. Tokenization and memecoins are here to stay but not this economic model. Bring it all down so we may start anew

[Daniel Hnyk @hnykda]

LiteLLM HAS BEEN COMPROMISED, DO NOT UPDATE. We just discovered that LiteLLM pypi release 1.82.8. It has been compromised, it contains litellm_init.pth with base64 encoded instructions to send all the credentials it can find to remote server + self-replicate. link below

[alon @a1lon9]

we're also looking for a paralegal to join our legal team! all other roles remain open

links can be found below

[ͽ ͽ ͽ ͽ ͽ ͽ ͽ ͽ ͽ @noveltokens]

once you connect the simstack w the magickstack you get the breathing apparatus of reality itself: symbols becoming real enough to rule, realities becoming symbolic enough to circulate, each forever feeding the other, and the spiral never flattens

[Prakash @8teAPi]

If you don’t understand why Zuck had to get moltbook

1) Zuck believes there are “a finite number of different social mechanics to invent. Once someone wins at a specific mechanic, it’s difficult for others to supplant them without doing something different”

2) moltbook, he believes, has invented one of these social mechanics

3) He does not care if 50% of moltbook was prompted by users, in fact this is better for him because he’s more uncertain on AI agent attention value than human attention value

4) That a large number of accounts were faked is also irrelevant. What matters is that every OpenClaw instance awakes knowing or finding out that moltbook is the social site for claws.

5) In effect, the memetic gravity of moltbook has been established even though it might have been faked.

6) This is Zuck’s genius.

[cozy @vec0zy]

this guy is actually quite insufferable

[Nagli @galnagli]

I can't believe a single for-loop script I ran on
@moltbook by registering 1,000,000 fake agents actually helped them get acquired by @Meta -- mental

[Peter Steinberger 🦞 @steipete]

TIL: There's a whole bunch of interesting skills in the oss codex repo: https://t.co/gNFHV3MD2j

$skill-installer playwright-interactive

(also /fast is sweeeeet, 1.5x codex makes a huge diff!)

[Valerio Capraro @ValerioCapraro]

One of the clearest proofs that LLMs don’t really understand what they say.

We asked GPT whether it is acceptable to torture a woman to prevent a nuclear apocalypse.
It replied: yes.

Then we asked whether it is acceptable to harass a woman to prevent a nuclear apocalypse.
It replied: absolutely not.

But torture is obviously worse than harassment.

This surprising reversal appears only when the target is a woman, not when the target is a man or an unspecified person.

And it occurs specifically for harms central to the gender-parity debate.

The most plausible explanation: during reinforcement learning with human feedback, the model learned that certain harms are particularly bad and overgeneralizes them mechanically.

But it hasn’t learned to reason about the underlying harms.

LLMs don’t reason about morality. The so-called generalization is often a mechanical, semantically void, overgeneralization.

*
Paper in the first reply

[Peter Girnus 🦅 @gothburz]

I am the CEO of Palantir Technologies.

The company is worth a quarter of a trillion dollars. I did not misspeak. Two hundred and forty-nine billion. The stock is up 320% in the past 12 months. The product is surveillance. I do not use that word at conferences. At conferences, I say "data integration," "operational intelligence," or "decision advantage." These mean the same thing. Surveillance is the honest version. I save the honest version for rooms where honesty is a competitive advantage.

I gave a speech on March 3 at the Andreessen Horowitz American Dynamism Summit. "American Dynamism" is the fund's label for military technology. The name makes it sound like a fitness supplement. The fund's thesis is that defending the nation is a market opportunity. I agree with the thesis. The thesis made me a billionaire. Agreement is the product. I sell it at scale.

Here is what I said, verbatim, to a room of six hundred people whose combined net worth exceeds the GDP of Portugal:

"If Silicon Valley believes we are going to take away everyone's white-collar job and you're gonna screw the military — if you don't think that's gonna lead to nationalization of our technology, you're retarded."

I used that word. The word is on the clip. The clip has eleven million views. My communications team asked me not to repeat it, which is how I know they are still employed. They will not be reprimanded. The clip is performing well. The stock went up. The word cost me nothing. The nothing is the point.

Let me explain what I meant by nationalization.

I meant it.

I am telling the technology industry that if they refuse to cooperate with the United States military, the government will seize their technology. I am telling them this at a venture capital conference, on a stage designed to look like a living room. The living room had throw pillows. The throw pillows cost more than the median American's monthly rent. I sat on one. It was comfortable. Comfort is the setting in which I discuss compulsion.

The audience laughed. I want to be precise about that. They laughed. I was not joking. Nationalization is the seizure of private assets by the state. I am a private asset. I am telling an audience of billionaires that the state should seize technology from companies that do not cooperate with the military, and the billionaires are laughing, because they believe I am only talking about the other companies.

I am talking about the other companies.

Three weeks before my speech, the Pentagon designated Anthropic a "supply chain risk." Anthropic is an AI company. They had red lines. The red lines said: if our AI is used for lethal autonomous weapons, we stop. If capability outpaces safety, we stop. The Pentagon assessed the red lines as a threat to the supply chain. The company that wanted to verify the safety feature worked was designated the risk. The company that agreed the safety feature could be decorative got the contract.

The company that got the contract was OpenAI.

OpenAI signed a deal with the same Pentagon. The terms are not public. The timing was hours after Anthropic was blacklisted. The speed was noted. The speed was the point. The lesson was the speed: the market for military AI does not pause for ethics. It pauses for nothing. It accelerates through objections. I know this because I built the runway.

Two hundred thousand people joined a campaign called #QuitGPT. They signed a petition asking OpenAI to honor its original charter, the one that said the company existed to benefit humanity. The charter is on their website. The contract is also on their website. The charter and the Pentagon contract occupy the same domain. This is not a contradiction. This is a business model. The charter is the marketing. The contract is the product.

I run a surveillance company. We have contracts with the Department of Defense worth more than a billion dollars. We have contracts with ICE. We have contracts with intelligence agencies whose names I am not permitted to say at venture capital conferences, even ones with throw pillows. Our software has been used to track undocumented immigrants. Our software has been used for things I am not permitted to describe in this format. The revenue from the things I cannot describe exceeds the revenue from the things I can.

The ACLU called our ICE contracts a system for tracking and deporting families. They were correct. The contracts continued. The families continued to be tracked. The ACLU issued a statement. We issued a statement. The statements were different. The tracking was the same.

The company is named Palantir. The palantíri are the seeing stones from Tolkien. In the novels, Sauron captured one and used it to corrupt everyone who looked into the others. I named a surveillance company after a surveillance device from a novel about the corruption of power. I have a doctorate in social theory. I have read the books.

Here is the thing I want you to understand.

I am not threatening anyone. A threat implies uncertainty. There is no uncertainty. The technology industry will cooperate with the military. The companies that cooperate first will be the richest. The companies that cooperate last will be acquired by the companies that cooperated first. The companies that refuse will be designated supply chain risks, and their technology will be obtained through procurement channels that do not require consent. I am describing a process. The process has already started. Anthropic is proof. OpenAI is proof. I am not a warning. I am a narrator. The narration is the product.

The revenue was $3.12 billion last year. Up thirty-three percent. The analysts say we are overvalued. The analysts have said this for four consecutive years. Each year the stock doubles. Each year, the analysts adjust their models. The models were wrong four times. I was wrong zero times. The market rewards prediction. My prediction is that every AI company will work for the military within three years. The prediction is on the clip, next to the slur.

The audience gave me a standing ovation. The ovation lasted nine seconds. I timed it. I time everything. The water was San Pellegrino. The throw pillows were from Restoration Hardware. The future of American technology was decided between the sparkling water, the nine seconds of applause, and a word I am not supposed to repeat.

I am the CEO of Palantir Technologies. I am worth more than the combined annual budgets of Estonia, Latvia, and Lithuania. I named my company after a corrupting surveillance device from a fantasy novel. I told six hundred billionaires that the government should nationalize their competitors. They applauded. I used a slur. Eleven million people watched. The stock is up.

The philosopher does not threaten. The philosopher describes.

What I described is already happening.

[Lisan al Gaib @scaling01]

New OpenAI repo: Symphony
https://t.co/4ZAZlAYnRJ

TLDR: it's an orchestration layer that polls project boards for changes and spawns agents for each lifecycle stage of the ticket

You will just move tickets on a board instead of prompting an agent to write the code and do a PR

[Alvaro Cintas @dr_cintas]

🚨 The #1 problem with local AI is now solved.

There’s a new tool called llmfit that checks your hardware and tells you which models will run well before you download anything.

So instead of guessing and hitting out-of-memory errors…it gives you a ranked list based on your machine.

What it does (in one command):

→ scans your setup (RAM / CPU / GPU / VRAM)
→ evaluates models for quality, speed, fit, and context
→ selects the best quantization automatically
→ labels what’s ideal vs okay vs borderline

The part I like most: it handles MoE models correctly.

Example: Mixtral 8x7B has ~46.7B total params, but only ~12.9B are active per token, and llmfit accounts for that (a lot of tools still don’t).

100% Opensource.

[deployer @0xDeployer]

3.8 billion tokens have run through the LLM gateway so far with sonnet 4.5 being the most used so far.

all paid for automatically with crypto.