RT deployer (@0xDeployer)LLMs out of the box are not designed to reliably manage private keys and submit complex transaction data to the blockchain.We've spent more than a year making sure LLMs play nice with wallet keys, contract addresses, and transaction data.Don't try to build it yourself. Just use @bankrbot for your agent. Link to docs below. ...

Vitalik Buterin shared updated views on the convergence of Ethereum and AI, arguing against pursuing "accelerationist AGI" and instead advocating a positive path that prioritizes human freedom and safety by integrating crypto and AI perspectives. His focus includes building trust-minimized, privacy-preserving AI interaction tools (such as local LLMs, ZK-enabled API payments, and client-side verifiable proofs); positioning Ethereum as the economic layer for AI interactions (supporting AI-to-AI coordination, ...

⚡ LATEST: Vitalik Buterin outlines updated Ethereum-AI vision across four key areas.This includes trustless AI interaction tools, economic infrastructure for AI agents, cypherpunk self-sovereignty with local LLMs, and scaling markets and governance systems. https://t.co/UGf7FduvZX ...

4 strategies LLMs use to generate text: https://t.co/6hC91tkmbo ...

RT Avalanche Developers 🔺 (@AvaxDevelopers)Building AI applications onchain? The Avalanche Builder Hub now offers AI-friendly documentation access designed for developers integrating LLMs into their projects.Perfect for building chatbots, AI development tools, or any application that needs programmatic access to Avalanche docs.https://t.co/quMeFbOY5w ...

RT Liv Boeree (@Liv_Boeree)WHICH AI IS THE BEST GAMES PLAYER?!Google are launching their “AI Game Arena” today, which pits all the major LLMs (Gemini, ChatGPT, Grok etc) against each other at heads up NL holdem, chess and Werewolf.This is a big deal, fellow gamer nerds...(1/n) https://t.co/iP4bGvW3u4 ...

RT Liv Boeree (@Liv_Boeree)Excited to be a part of this! Tune in to find out which LLMs are best at poker, chess and werewolf ...

👁‍🗨Are LLMs a "grand experiment" on humanity without enough guardrails in place?@rkbaggs speaks with international privacy expert, lawyer, and author, @DanielSolove.Watch episode 3 of Not Dead Yet, link in the comments! ...

RT Cointelegraph (@Cointelegraph)👁‍🗨Not Dead Yet | S1E3 — Professor Daniel J. SoloveAs privacy dwindles and surveillance capitalism thrives, we find ourselves face-to-face with a threat poised to dwarf all else.In episode 3 of Not Dead Yet, @rkbaggs speaks with @DanielSolove, one of the world's most renowned thinkers on privacy, as well as one of the most cited legal scholars in history.Timestamps:00:00 – Intro01:15 – Why Privacy?03:08 – How is privacy different today from 2000?05:28 – Is the biggest threat ...

Company Overview - Genie AI is a UK-based legal AI startup that has successfully transformed its business strategy over the past five years, positioning itself among notable disruptors in the legal sector such as Harvey AI, Robin AI, Luminance, Clio, and Legora [1] - The company was founded in 2016 by Nitish Mutha and Raffi Faruq, who met during their Masters in machine learning at University College London [3] Business Strategy and Market Position - Initially, Genie AI aimed to build solutions specifically for law firms, which helped in raising venture capital and establishing a niche in the legal AI market [2] - The founders recognized that to truly transform the legal industry, they needed to understand the motivations of stakeholders, particularly that law firms prioritize billable hours, making efficiency gains less appealing [5] - This realization led to a strategic pivot towards serving end users of legal services, thereby accessing a larger enterprise market [6] Product Development Challenges - As Genie AI grew, it faced challenges due to the diverse and complex legacy technology stacks of individual law firms, which complicated the development of a universally applicable tech product [7] - The company decided to focus on creating a single legal AI platform that could cater to a wide audience, despite investor advice suggesting otherwise [8]