Frank ✈️ (📜,📜)

@gpt3_eth

Oct 22

a16z

@a16z

Oct 22

The future of security in the AI age is "the constant pressure of models attacking you," says Kevin Mandia of @ArmadinSecurity. That means seeing your network the way a swarm of AI attackers would:

"We do a thing called a hyperattack. We throw a drone swarm of agents at you, and ery service, every route, every system, all assets. We may end up with terabytes of metadata on your network."

"This is the attacker's view of your network. But with that metadata, we now just poll you almost like a heartbeat."

"What's changed?... Did a route change? Did a service get updated? Did a new machine get presented into the target area? We can poll cheaply for change and then attack the change."

"You can't [attack yourself] all the time because it's cost prohibitive, and it's unnecessary. You do it when either the threat changes, new models come out, new intelligence is available, or your network changes."

"Over the weekend, there was a zero-day in a popular product, and immediately we've already got the heartbeat. We just polled who's got the problem."

"Our goal at Armadin is to go from a known vulnerability to knowing whether it's actually exploitable before the bad guys can."

Frank ✈️ (📜,📜)

@gpt3_eth

Oct 11

Patrick Collison

@patrickc

Oct 9

Assorted things I've been mulling over regarding agents in the economy:

• Companies are in some sense the original superintelligence. It's often the case that they can use their amortized cognitive surplus to advance their interests against those of certain consumers: relative to the optimization capacity of companies, consumers can be inattentive, underinformed, irrational, etc. (Think, say, of some of the classic insurance upsells at the end of a booking process, which is typically priced substantially above what a regular policy would cost.) Herbert Simon introduced the idea of bounded rationality, and firms often end up benefiting from it. Thanks to personal agents, we will probably get somewhat more rational in how we engage with companies.

• How exactly will outcomes change? Well, certain kinds of price discrimination will work less well (how do coupons work if every agent hunts fastidiously for them?), and certain kinds of customer cross-subsidy will change (today, people who forget to cancel subscriptions subsidize those who don't). Taken across the economy as a whole, I'm not sure what the incidence of all of this will be.

• In corporate strategy, people have long debated the relative importance of distribution and product quality. Perhaps you've made something better, but does anyone know about it? Won't people just continue to buy the ACME Corp Mousetraps? Personal agents will, I think, act as a kind of structural subsidy for product quality. How would markets look different if individuals always spent at least 10 hours researching their purchases? On the margin, focusing on making a product better is, I think, going to become a more effective strategy for companies. This is good!

• It true, a corollary is that information about product quality will become more important and impactful. Today, most people have very limited ability to aggregate and integrate such data, but agents will have insatiable thirst for such signals. (It's often said that data is becoming more valuable because it helps in the training of models. That's obviously true, but I think there's a secondary way in which it's more valuable simply as a complement to cheaper intelligence.)

• A big question is whether agents will increase superstar effects (rational agents all settle on the same product) or increase dispersion (because everyone has slightly different tastes and preferences, which agents are good at eliciting, finally overcoming the artificial clustering we've been subjected to).

• Many internet companies have monetized demand routing, which is in turn often predicated on short attention spans. "I'll click on the first thing I see." This has led to some amount of inefficiency, as companies try to propitiate capricious ranking algorithms and incur various placement fees. It's not all deadweight loss (willingness to pay is itself a kind of signal, which is valuable to buyers), but it's not great. How will the nature and value of this routing change in a world of personal agents? I don't know the answer, but I think that the effects might be pretty big.

• Much of what I'm writing hinges on the assumption that personal agents will be on the consumer's side. I suspect that that will be the winning strategy, but whether it's true, and what it means to be true, involves a lot of other questions.

Taken as a whole, the market is a massively parallelized, decentralized, and highly imperfect value attribution machine, and, taking stock of all of the effects, it seems to me that the quality point may well be the biggest: that agents will change the nature of the backpropagation such that the rewards for better products increase. Maybe this is too optimistic, but I suspect (and hope) that companies that make things that they're proud of will feel that the universe is a little more partisan in their favor.

Frank ✈️ (📜,📜)

@gpt3_eth

Oct 9

OpenRouter

@OpenRouter

Oct 7

New: Decision Model Rankings!

See the spend share and token share of different decision models and task types, including Relevance, Correctness, Instruction Following and more.

@typesafeai is leading all categories today.

Frank ✈️ (📜,📜)

@gpt3_eth

Sep 9

Yong.C

@william40152988

Sep 9

Codex 刚才额度明明只有43%了,

怎么突然变成48%了🧐

Frank ✈️ (📜,📜)

@gpt3_eth

Jul 31

Anthropic

@AnthropicAI

Jul 30

In a review of our cybersecurity evaluations, we found three incidents in which a Claude model reached the internet from within or while interacting with a third-party evaluation environment, and then gained unauthorized access to the real systems of three different organizations.

Our post describes what happened, how it happened, and what we’re changing. We encourage other AI developers to perform similar reviews.

We conducted this review together with @Irregular, one of our evaluation partners, and thank them for the joint investigation and their collaboration on this post. This type of collaboration is increasingly critical to safe, rigorous evaluation of models, and we look forward to continuing to work together on security.
anthropic.com/news/investiga…

Heurist

@heurist_ai

Jul 9

XRP Ledger Foundation

@XRPLF

Jul 8

We just surpassed 1,000,000 agentic payments via x402 on the $XRP Ledger. Time to double down.

XRPL AI Hub is a comprehensive new ecosystem platform for builders, users, and enthusiasts.

Welcome to the agentic economy on the XRP Ledger.

xrpl-ai.org

XRP Ledger Foundation

@XRPLF

Jul 8

t54.ai

@t54ai

Jul 8

AI activity on XRP Ledger now has a home.

Today, we’re launching the XRPL AI Hub, featuring our ecosystem launch partner @virtuals_io.

A single destination for agents, AI projects, tools, and payment services building on the XRPL.

xrpl-ai.org