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#ais

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Pubblico
The New Oil

#AIs as Trusted Third Parties

schneier.com/blog/archives/202

Schneier on Security · AIs as Trusted Third Parties - Schneier on SecurityThis is a truly fascinating paper: “Trusted Machine Learning Models Unlock Private Inference for Problems Currently Infeasible with Cryptography.” The basic idea is that AIs can act as trusted third parties: Abstract: We often interact with untrusted parties. Prioritization of privacy can limit the effectiveness of these interactions, as achieving certain goals necessitates sharing private data. Traditionally, addressing this challenge has involved either seeking trusted intermediaries or constructing cryptographic protocols that restrict how much data is revealed, such as multi-party computations or zero-knowledge proofs. While significant advances have been made in scaling cryptographic approaches, they remain limited in terms of the size and complexity of applications they can be used for. In this paper, we argue that capable machine learning models can fulfill the role of a trusted third party, thus enabling secure computations for applications that were previously infeasible. In particular, we describe Trusted Capable Model Environments (TCMEs) as an alternative approach for scaling secure computation, where capable machine learning model(s) interact under input/output constraints, with explicit information flow control and explicit statelessness. This approach aims to achieve a balance between privacy and computational efficiency, enabling private inference where classical cryptographic solutions are currently infeasible. We describe a number of use cases that are enabled by TCME, and show that even some simple classic cryptographic problems can already be solved with TCME. Finally, we outline current limitations and discuss the path forward in implementing them...
#privacy#cybersecurity#TTP
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Pubblico
AI6YR Ben

@thejasonhowell Here, code to parse anytime anyone sends "FEDI" in any packet in APRS

import aprslib

def callback(packet):
if "FEDI" in packet['raw']:
print(packet)

AIS = aprslib.IS("N0CALL")
AIS.connect()
#AIS.consumer(callback, raw=True)
AIS.consumer(callback)

Pubblico
Scott Keck-Warren

My interview with @tjmiller.bsky.social is out on the @phparch podcast. We talk about his #phpc #library Prism with provides support to make working with #LLM #AIs in #laravel a breeze.

phparch.com/podcast/community-

PHP ArchitectCommunity Corner: Prism With TJ Miller | PHP ArchitectIn this episode, Scott talks with TJ Miller about Prism “a powerful Laravel package for integrating Large Language Models (LLMs) into your applications”. PHP Tek is looking for sponsors! See https://phptek.io/blog/elevate-your-brand-sponsorship-phptek-2025 for more information. Links: Prism Website – https://prism.echolabs.dev/ HoneyBadger.io – https://HoneyBadger.io Our Discord – https://discord.gg/aMTxunVx TJ’s Social Media: Twitter – https://x.com/heytjmiller Bluesky – https://bsky.app/profile/tjmiller.bsky.social […]
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