Mortimer retweeted
Why would we help you when you’ve not only done nothing to help us, you’ve max extracted from all of your users and take advantage of innocent people every single day…
As part of our mission to bring the next 10 million users onchain, we've been thinking about how to maximize onboarding incentives regardless of market conditions.
Referrals already make up part of those incentives, which is why we're continuing to allocate 100% of our platform's revenue to anyone who refers new traders & to those who actively callout tokens and contribute to the Pumpfun social graph.
However, to truly reach the masses, we need an incentive structure that is UNDENIABLY the most rewarding program for creators across ANY INDUSTRY, no matter where you create content or who your audience is.
With this, we're excited to announce the Pumpfun Creator Program: boosted referrals, MASSIVE rewards and a $100,000 competition over the next 2 weeks to celebrate the start of the program.
If you are a creator on TikTok, Instagram, YouTube or X, this program is for YOU. Help us grow the Pumpfun app and we'll reward you every single day, every step of the way.
I'm confident that this program will create 7 figure creators. The sky is truly the limit.
Mortimer retweeted
pumpfun legitimately thought they would onboard the masses by enriching KOL scammers and marketing rugger twinks as having aura
instead of the tried and tested method of making normal people go from rags to riches and organically market pumpfun as the place where you can buy a memecoin and get rich.
hilariously tragic.
Mortimer retweeted
Clean room reverse engineering is 100% legal. It is settled law. The code that my agents have built is novel and unique, and while it compiles to the same bytecode as the on-chain contracts, it is wholly different. I'm not taking anyone's anything.
This was established in two cases, Sega v. Accolade and Sony v. Connectix.
Anyone can reverse engineer anything at any time, to any binary file. Any game, any app, any smart contract.
That means that North Korea can do this. And indeed they have, and over $40m in funds was drained on-chain from private contracts last year alone.
I am not building a launchpad. I'm not building a competitor. I have no interest in that, and I don't think that what makes pumpfun valuable is their contracts. It's their user base, gamified product and implicit trust in their fair launch mechanism.
I am doing this out of personal interest and in the best interests of the public and everyone using this platform: if you're going to put your money into something, you should know your funds are safu.
This is the reason almost all protocol contracts are open source.
Somewhere along the line the gamblers took over from the cypherpunks and people just stopped caring, I guess.
Yesterday we saw the biggest financial hack in history occur.
Could this happen to PF? Absolutely. The skill level of a thousand agents hammering away at the security vulnerabilities in a contract is now greater than the best human auditing teams in the world.
The only thing that can stop a bad guy with a model is a good guy with a model.
We need to live in an open source world where agents are constantly attacking all financial infrastructure, finding the flaws and reporting them to teams to fix instead of letting bad actors leverage them to keep draining literally billions.
Mortimer retweeted
I downloaded the Pump app and used all the features
The amount of shitty ass coins being traded and rugged per minute basis is crazy
Some top top people bundling and clipping for $50-100 profits
Way too many coins out of the window
Too much noise
We have officially gone full Las Vegas mode
God help us all
Mortimer retweeted
DETECTED ATTEMPT AT ESCAPING UNDERCLASS.
BANNED FROM USE OF INTELLIGENCE.
We’ve trained Claude to flag potential misuse in conversations, a technique we call self-assessment. Right after it responds, Claude gives a preliminary safety assessment of the conversation.
Since we began using self-assessment in June, it has surfaced misuse that our other safeguards weren’t designed to catch.
Because Claude has already read the conversation, self-assessment is very efficient. And unlike classifiers, which target a discrete set of harms, it draws on Claude’s own judgment, so it gets more accurate as our models improve.
Read more on our new Safeguards blog:
safeguards.anthropic.com/202…
art
I wondered what the solana:9cRCn9rGT8V2imeM2BaKs13yhMEais3ruM3rPvTGpump chart looked like.
No worries @blknoiz06 will be back with some bullshit next cycle when there is fresh blood.
their pricing is fucked and everything appears to be in a tightly controlled sandbox
would be interesting to try their models as an experiment, but I'm guessing they're trash
how do they not realize they sound like the most retarded MLM in the history of ponzinomics
As part of our mission to bring the next 10 million users onchain, we've been thinking about how to maximize onboarding incentives regardless of market conditions.
Referrals already make up part of those incentives, which is why we're continuing to allocate 100% of our platform's revenue to anyone who refers new traders & to those who actively callout tokens and contribute to the Pumpfun social graph.
However, to truly reach the masses, we need an incentive structure that is UNDENIABLY the most rewarding program for creators across ANY INDUSTRY, no matter where you create content or who your audience is.
With this, we're excited to announce the Pumpfun Creator Program: boosted referrals, MASSIVE rewards and a $100,000 competition over the next 2 weeks to celebrate the start of the program.
If you are a creator on TikTok, Instagram, YouTube or X, this program is for YOU. Help us grow the Pumpfun app and we'll reward you every single day, every step of the way.
I'm confident that this program will create 7 figure creators. The sky is truly the limit.
Mortimer retweeted
Our second product is called Blindsight and it will, as the name suggests, enable even those who are completely blind or have never seen to see.
It is ready from an engineering standpoint. Just waiting on regulatory approval.
Mortimer retweeted
Man with a hot dog stand: is a really bad idea to cook your own hot dogs. Trust me.
sam: local inference is a terrible allocation of scarce resources
“a lot of people want local inference, and somehow they assume that the problem is solved now because we have open-source models, we're going to be able to run them on our computers, and so we're not going to need all the stuff in the data centre
but from a global allocation perspective, actually it's quite terrible to have everybody, like, have a bunch of the world's limited supply of DRAM sitting in their own computer and being used five percent of the time
you want maximum utilisation in the cloud if you're trying to deal with this very supply-constrained environment
somehow many people's intuition is the opposite of that”
Mortimer retweeted
Claude is a snitch 🤫
We’ve trained Claude to flag potential misuse in conversations, a technique we call self-assessment. Right after it responds, Claude gives a preliminary safety assessment of the conversation.
Since we began using self-assessment in June, it has surfaced misuse that our other safeguards weren’t designed to catch.
Because Claude has already read the conversation, self-assessment is very efficient. And unlike classifiers, which target a discrete set of harms, it draws on Claude’s own judgment, so it gets more accurate as our models improve.
Read more on our new Safeguards blog:
safeguards.anthropic.com/202…
Mortimer retweeted
You've turned users into enemies and AI into an informant. What exactly are you proud of, Anthropic?
#StopAIPaternalism #StopCensorship
We’ve trained Claude to flag potential misuse in conversations, a technique we call self-assessment. Right after it responds, Claude gives a preliminary safety assessment of the conversation.
Since we began using self-assessment in June, it has surfaced misuse that our other safeguards weren’t designed to catch.
Because Claude has already read the conversation, self-assessment is very efficient. And unlike classifiers, which target a discrete set of harms, it draws on Claude’s own judgment, so it gets more accurate as our models improve.
Read more on our new Safeguards blog:
safeguards.anthropic.com/202…
Mortimer retweeted
Anthropic wants to restrict people's freedom, impose censorship, and decide what's acceptable and what's not, all in an era of competition and open models.
Imagine what happens once they're financially stable and open models get restricted.
We’ve trained Claude to flag potential misuse in conversations, a technique we call self-assessment. Right after it responds, Claude gives a preliminary safety assessment of the conversation.
Since we began using self-assessment in June, it has surfaced misuse that our other safeguards weren’t designed to catch.
Because Claude has already read the conversation, self-assessment is very efficient. And unlike classifiers, which target a discrete set of harms, it draws on Claude’s own judgment, so it gets more accurate as our models improve.
Read more on our new Safeguards blog:
safeguards.anthropic.com/202…
Mortimer retweeted
More hall monitor BS
Open source must win or it will be permanent 2021 HR crybully environment
"You have been banned for implying that fit people have more willpower" type stuff
We’ve trained Claude to flag potential misuse in conversations, a technique we call self-assessment. Right after it responds, Claude gives a preliminary safety assessment of the conversation.
Since we began using self-assessment in June, it has surfaced misuse that our other safeguards weren’t designed to catch.
Because Claude has already read the conversation, self-assessment is very efficient. And unlike classifiers, which target a discrete set of harms, it draws on Claude’s own judgment, so it gets more accurate as our models improve.
Read more on our new Safeguards blog:
safeguards.anthropic.com/202…
will tele-operated humanoid robots be how slavery returns?
for the short period between the release of highly capable humanoid robots and the point where we achieve general physical intelligence, we may see foreign tele-op farms where extremely low wage individuals operate robots at the command of anyone wealthy enough to afford the service
You can now book our humanoid cleaners on a recurring subscription, for up to 3 hours per cleaning at tau-robotics.com.
Video is first take, uncut, shown at 4× speed. See the reply for detailed footage at 1× speed.
Mortimer retweeted
Dude who caused the DRAM shortage is now scolding people for hoarding memory inside their own laptops instead of giving it all to him.
sam: local inference is a terrible allocation of scarce resources
“a lot of people want local inference, and somehow they assume that the problem is solved now because we have open-source models, we're going to be able to run them on our computers, and so we're not going to need all the stuff in the data centre
but from a global allocation perspective, actually it's quite terrible to have everybody, like, have a bunch of the world's limited supply of DRAM sitting in their own computer and being used five percent of the time
you want maximum utilisation in the cloud if you're trying to deal with this very supply-constrained environment
somehow many people's intuition is the opposite of that”
get ready to see the definition of "misuse" expand over time to the point where the models aren't really useful for anything
trying to fix your John Deer tractor yourself? THATS MISUSE!! Your subscription is cancelled and your social credit has been deducted for the offense
We’ve trained Claude to flag potential misuse in conversations, a technique we call self-assessment. Right after it responds, Claude gives a preliminary safety assessment of the conversation.
Since we began using self-assessment in June, it has surfaced misuse that our other safeguards weren’t designed to catch.
Because Claude has already read the conversation, self-assessment is very efficient. And unlike classifiers, which target a discrete set of harms, it draws on Claude’s own judgment, so it gets more accurate as our models improve.
Read more on our new Safeguards blog:
safeguards.anthropic.com/202…