trust
32 stories and discussions about trust, aggregated from every source we track.
Trust your eyes, build a streak, and beat your score in 60 seconds.
This article is a submission for the Kaggle Benchmarking Challenge. "I told an AI something was...
<p>Slides available <a href="https://static.rpteng.com/TALOS/assets/the_world_beyond_x86.pdf" rel="ugc">here</a></p>
He knows a thing or two about tech, but what to make of the views of a man who met Jeffrey Epstein 30 times and couldn’t see what a monster he was?
Every byte verified. Your coding assistant plans, sandboxed workers build, and nomArmy checks every change before it's committed. - rayson-tech/nomarmy
Latest iPhone signs image data before it leaves the sensor
Skin is a verified, owner-controlled profile layer for the AI agent era so language models answer questions about you or your company with facts you published, not whatever they scraped.
By going into detail about how Muse works under the hood, we hope to give you a sense of how — and how much — you can trust it in practice.
An identity is useless if you can’t verify it. Agent Name Service (ANS) gives every agent an identity it can verify, a SCITT receipt tied to a transparency log, a status token that expires, and a proof of possession…
…they propose their own regulation, or when they say that only they can keep this technology safe.
There's a tempting fix for the moment your team stops trusting its AI code review...add a second AI...
A semantic layer is a governed catalog of definitions that sits on top of your existing data and tells agents and people what to trust. Here's how we built one into PostHog's context warehouse.
<p>I have been thinking a lot about verifiable strong identity online and how it could fix things like: fake news, phishing, fraud on freelancer platforms or faking results of online polls . Let me know what you think about this approach:</p> <p>The trust graph consists of</p> <p>2 types of nodes</p> <ul> <li>natural persons which have a name and control one or more email accounts</li> <li>organizations which control a domain name and an email server</li> </ul> <p>1 type of edge</p> <ul> <li>stating that a person node and an organization node have had some kind of affiliation in the past.</li> </ul> <p>Natural persons register with a trust repository providing just their name, the email on domains of organizations which they are currently affiliated with and reference emails of people in organizations which they have been affiliated with in the past.</p> <p>The sever then sends a magic link to your referenced email addresses. The verification emails simply ask the recipient to agree that a person ( as defined by their name and current email accounts) had been affiliated with their organization in the past but not any detail about their role or skills.</p> <p>Some Organization nodes are labeled as seeds of trust, for example any publicly traded company which has a value >1e6$</p> <p>Other nodes ( organizations and natural persons) are trusted only if there is a path between them and at least n organizations in the seed of trust</p> <p>Key differences to the Web of Trust coined in by Phil Zimmermann in 1992 :</p> <ol> <li>IDs must be public information</li> <li>We agree on a external seed of trust</li> </ol> <p>With these differences we can clean up the graph of trust in the event that a fake account is found by re-verifying the paths from the fake account to any seed of trust. And lets remember this does not need to be 100% secure, it just needs to be difficult to the point that it is no longer worth the payout a fake account can bring.</p>
A lightweight, zero-dependency Python checkpoint layer for structured LLM output reliability. - Vedantgitbot/booth
AFAW: AI-assisted development framework for deterministic multi-agent orchestration. Enforces hard guardrails and AST validation on AI code to block hallucinations. Manages concurrent context via J...
Entdecke 397 geprüfte No-KYC Services in 30 Kategorien: Exchanges, Wallets, VPNs, Messenger und mehr. Über 247 Dienste ganz ohne KYC. Aktuelle News, neue Die...
Replaying your own coding agent sessions on a cheaper model: how many tasks you need for a confident answer, which ones to pick, how a replay is run and graded, and what it all costs.
The need for independent regulation grows more obvious by the day. We must keep this tech in check before it’s too late, says technology writer Chris Stokel-Walker
When your team stops trusting its AI code review, the obvious fix is to add a second AI. I don't think that buys you much...two models trained on the same internet share the same blind spots. What actually helped me…
Delegation goes wrong when managers don’t establish trust.
This article explores how type systems and formal verification can make AI-generated code more reliable and how they fit into development workflows alongside testing and human review. Examples across several languages…
By going into detail about how Muse works under the hood, we hope to give you a sense of how — and how much — you can trust it in practice.
Uncover how Trust Insights can help protect people from social scams and coercion. Explore how this new framework uses privacy-preserving...
Elevate your financial advice firm with Saturn AI, the leading AI solution for Financial Advisory, designed to harness data insights, automate workflows like annual reviews and streamline administrative tasks.