Artículos Relacionados con Verification

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AI Agent Outputs Garbage? The Problem Is You're Not Willing to Burn Enough Tokens

The core argument is that the quality of an AI Agent's output is directly proportional to the number of tokens invested in the process. More tokens lead to fewer errors, as they allow for deeper reasoning, multiple independent attempts, self-critique from fresh contexts, and verification through testing. This approach can solve problems of scale and complexity but fails when facing novel problems not present in the model's training data. For such novel challenges, human domain knowledge and guidance are essential. Two practical, immediate solutions are proposed: implementing an automatic review cycle (WAIT) for the Agent to repeatedly critique and fix its work, and establishing frequent verification checkpoints (VERIFY) where a separate Agent validates outputs to catch errors early. The key takeaway is that insufficient token investment is often the primary reason for poor Agent performance, not the underlying framework.

marsbitHace 2 días 06:14

AI Agent Outputs Garbage? The Problem Is You're Not Willing to Burn Enough Tokens

marsbitHace 2 días 06:14

World Unveils AgentKit for Human-Verified AI Agents with Coinbase Integration

World has launched the beta of AgentKit, a developer toolkit that integrates with the x402 protocol (founded by Coinbase and Cloudflare) to enable AI agents to cryptographically prove they are backed by a unique human via World ID, without revealing the user’s identity. This addresses the growing challenge of trust and accountability in agentic commerce, which is projected to reach $3–5 trillion by 2030. By combining World ID’s privacy-preserving proof-of-humanity with x402’s micropayment system, AgentKit allows platforms to distinguish legitimate human-backed agents from malicious bots, control resource allocation per unique user, and prevent abuse—enabling use cases like fair ticketing, reservations, and trial access. The toolkit is now available to developers, with a more advanced version planned following feedback.

TheNewsCrypto03/18 01:59

World Unveils AgentKit for Human-Verified AI Agents with Coinbase Integration

TheNewsCrypto03/18 01:59

Brevis Vera is Now Live: Proving "Authenticity" in the Age of AI

Brevis Vera is an end-to-end media authenticity system that enables anyone to verify whether a published image or video originates from a real device and has been edited only in provable, compliant, and legitimate ways. It combines hardware-backed C2PA credentials—which cryptographically bind media to its source device at the time of capture—with zero-knowledge proofs (generated via Brevis Pico zkVM) that attest to the integrity of the entire editing process. Unlike AI-based deepfake detection methods, which are reactive and often lag behind generative advances, Vera takes a proactive approach by allowing media to cryptographically prove its origin and the transformations it has undergone. It addresses the "editing gap" where traditional signatures break after any modification, such as cropping or color adjustment. Vera integrates with open-source editing tools to generate proofs that verify three key claims: the output is derived from the signed original, only permitted edits were applied, and no hidden or malicious changes were introduced. The proofs are generated locally, verifiable by anyone, and preserve the privacy of both the source material and the editing workflow. The system is now live, with initial support for common image transformations. Brevis is working to integrate Vera into mainstream consumer editing applications and has open-sourced the reference implementation.

marsbit03/09 12:37

Brevis Vera is Now Live: Proving "Authenticity" in the Age of AI

marsbit03/09 12:37

a16z: After AI Grants Humans Superpowers, Where Do We Go From Here?

A new paper titled "The Minimal Economics of AGI" explores the economic implications of AI automation, particularly as AI agents evolve from tools into collaborative partners capable of long-horizon tasks. The authors, Christian Catalini and Eddy Lazzarin, argue that the core economic divide will be between automation (tasks that can be measured and automated) and verification (tasks requiring human oversight, judgment, and contextual understanding). Key themes include: - The "coder’s curse": top experts training AI systems may inadvertently automate their own roles over time. - Three future human roles: directors (setting intent), verifiers (domain experts ensuring quality), and meaning-makers (creating cultural and social value). - Cryptocurrency and blockchain are positioned as critical for identity, provenance, and trust in a world flooded with AI-generated content. - Two potential economic outcomes: a "hollow economy" with systemic risk from under-verification, or an "augmented economy" where AI amplifies human potential and reduces costs for education, healthcare, and innovation. - The importance of small, agile teams leveraging AI for outsized impact, with crypto infrastructure enabling coordination at scale. The authors emphasize that AI acts as a force multiplier, granting individuals "superpowers," and urge a focus on verification, adaptability, and ambitious experimentation.

marsbit03/09 11:31

a16z: After AI Grants Humans Superpowers, Where Do We Go From Here?

marsbit03/09 11:31

Ripple Outlines Next Steps After Critical XRP Ledger Batch Amendment Bug

Ripple is implementing stricter security measures for the XRP Ledger amendment process after a critical bug was discovered in the proposed Batch amendment (XLS-56). The flaw, identified by Cantina AI, was caught before activation, preventing any mainnet impact. RippleX Head of Engineering J. Ayo Akinyele acknowledged the amendment "progressed further than it should have" and emphasized the need for higher review standards. While the network's safeguards worked as a final defense, Ripple is taking steps to make them a primary one. Proposed changes include mandatory multiple independent audits for high-risk features, an expanded bug bounty program, and formal adversarial testing. The company is also incorporating AI-assisted code review and aims to make formal verification standard for critical ledger components.

bitcoinist03/04 17:32

Ripple Outlines Next Steps After Critical XRP Ledger Batch Amendment Bug

bitcoinist03/04 17:32

Ethereum Roadmap Could Advance Faster With AI, Vitalik Buterin Says

Vitalik Buterin suggests that AI could significantly accelerate Ethereum's development roadmap, citing an experiment where an AI-built client (ETH2030) was created in six days for $5,750. The prototype, covering 65 roadmap items, demonstrates potential but has limitations and bugs. Buterin emphasizes that AI should enhance both speed and security through formal verification and extensive testing. While not production-ready, the experiment highlights Ethereum's ambitious goals, including 10,000+ TPS and faster finality, and underscores that AI could help complete the roadmap faster and more securely than expected.

bitcoinist03/02 16:41

Ethereum Roadmap Could Advance Faster With AI, Vitalik Buterin Says

bitcoinist03/02 16:41

Don't Just Look at Credentials, Use Crypto Principles to Find Web3 Talent

Crypto's core ethos champions transparency, verifiability, and trustless systems—yet hiring practices often remain traditional, over-relying on credentials like degrees or prestigious employers. This approach risks overlooking talented builders who prove themselves through action, not pedigree. The crypto space inherently produces verifiable work: public code repositories, on-chain deployments, open-source contributions, and participation in hackathons or DAOs. These outputs serve as direct evidence of skill, bypassing the need for institutional validation. Unlike resumes, which are merely claims, on-chain activity and code commits are permanent, publicly auditable records of capability. However, as AI tools and incentive structures evolve, some contributions may prioritize quantity over quality. It’s crucial to evaluate depth, consistency, and impact—not just activity. A "verify-first" hiring model shifts focus toward tangible proof: prioritize code quality, deployed systems, and contribution history early in the process. Engage talent where they already build—in open-source communities, at hackathons, and within protocol discussions. Credentials still matter, but they should complement—not replace—verifiable work. In a sector built on "don’t trust, verify," hiring should reflect that same principle: trust becomes the outcome, not the prerequisite.

marsbit02/27 10:21

Don't Just Look at Credentials, Use Crypto Principles to Find Web3 Talent

marsbit02/27 10:21

Bitcoin Depot Tightens The Rules: Show Your ID Or No Deal

Bitcoin Depot, the largest US Bitcoin ATM operator, has implemented a mandatory ID verification requirement for every transaction, not just initial sign-ups. This policy change, effective February 2026, is a direct response to the $333 million Americans lost to crypto ATM fraud last year. The move addresses a critical gap, as previous rules only required ID checks for new users, allowing scammers to exploit returning customers. Facing legal pressure—including a lawsuit from Massachusetts Attorney General and a $1.9 million settlement in Maine—the company aims to enhance security and protect consumers, particularly the elderly targeted in government impersonation and tech support scams. With over 9,000 kiosks, this new rule is a significant shift for the dominant player in the US market.

bitcoinist02/25 20:06

Bitcoin Depot Tightens The Rules: Show Your ID Or No Deal

bitcoinist02/25 20:06

RootData Transparency Bounty Activities Report for Rounds 3 and 4

RootData Transparency Bounty Program Reports for Rounds 3 and 4 From January 30 to February 8, 2026, RootData, a Web3 asset data platform, conducted its third and fourth transparency bounty programs. The initiatives focused on due diligence around recently listed projects on major exchanges, covering key financial metrics such as funding structure, team background, token unlocks, and major timelines. The programs reviewed two main categories: Binance-listed projects from the past year and projects listed on major exchanges in 2026. Over 160 users participated, contributing to 190 tag optimizations, 364 token unlock data updates, 235 key calendar entries, and 396 general information improvements. Notably, the overall approval rate was below 30%, reflecting structural challenges in Web3 project transparency. Common issues included incomplete unlock schedules, denial of historical documentation by official sources, complex inflationary token models, and unverified AI-generated content. To date, RootData has hosted four rounds of bounty programs, covering 526 unique projects. Some, like River and Audiera, were repeatedly submitted, showing sustained community interest and gradual transparency improvement. RootData emphasizes that transparency is an ongoing process rather than a one-time goal. The platform remains committed to factual, neutral, and third-party validated data disclosure, avoiding value judgments. It aims to enhance Web3's data infrastructure through community-driven verification and open bounty mechanisms.

marsbit02/12 08:25

RootData Transparency Bounty Activities Report for Rounds 3 and 4

marsbit02/12 08:25

Vitalik Buterin Outlines Ethereum’s AI Vision As Alternative To The Race For AGI

Vitalik Buterin challenges the mainstream AI industry's focus on the race toward artificial general intelligence (AGI), proposing instead for Ethereum to serve as decentralized infrastructure for more private, verifiable, and economically coordinated AI systems. He emphasizes privacy through local AI tooling and zero-knowledge payments, client-side verification, and cryptographic proofs to allow secure and anonymous AI interactions. Buterin also envisions Ethereum as an economic layer for AI-to-AI transactions and smart contract-based coordination. Additionally, he suggests AI could assist in improving decentralized governance and market mechanisms, offering an alternative path focused on safety and practical integration rather than accelerated AGI development.

bitcoinist02/10 16:32

Vitalik Buterin Outlines Ethereum’s AI Vision As Alternative To The Race For AGI

bitcoinist02/10 16:32

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