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The pass rate and cost of Alma by independent developer Yetone are better than Claude Code

The locally developed AI Agent Alma, led by independent developer Yetone, ranked third in the latest round of cross-evaluation initiated by the AI Agent infrastructure company Runta, both in task success rate and cost of success, outperforming tools like Claude Code and OpenCode. The current leaderboard snapshot shows that Alma has a task success rate of 72.7%, just behind Codex CLI at 77.9% and Pi at 72.8%, while Claude Code stands at 70.0%.Alma costs approximately $0.80 on average for each successfully completed task, compared to Claude Code's $0.94, making it about 16% cheaper. This FrontierHarness v1.1 comparison evaluates the performance of the same large model under different Agent execution frameworks, covering 21 sets of Harness configurations, 5 large models, and 62 tasks, with each task repeated 4 times, planning to run a total of 26,040 times, which is 72 times the scale of the previous version. All tools operate in a unified cloud environment, comparing task success rates, token costs, and execution speeds.Alma emphasizes local operation and long-term memory, capable of reading and modifying code, executing terminal commands, searching the web, and supporting Skills and MCP, while also allowing for switching underlying models. Recently, Alma integrated with Herdr, allowing programming Agents like Claude Code, Codex, and Pi to continue operating within Herdr, and enabling users to view execution processes, respond to questions, and approve operations in a centralized chat interface. Users can also remotely manage multiple Agents on their computers via iPhone. The evaluation is still ongoing, and rankings may change; the models being tested are limited to open-source models like GLM, DeepSeek, Kimi, and Muse, and do not cover closed-source models from the GPT and Claude series.

first_img The prediction market platform SignalMarkets is launched, hosting an event in Boston on November 3rd

The financial prediction market platform SignalMarkets, associated with Crypto.com, announced the launch of its platform on October 29 and revealed the event Signal Summit 2026. The theme of the event is "Watch Politics Move Markets in Real Time," which will be held both offline and online in Boston on November 3 at 6 PM Eastern Time. Registration is required in advance, and on-site seats are limited; participation is free of charge.SignalMarkets focuses on economic, financial, business, and political events, positioning itself as an investment-oriented prediction market. The event will discuss the potential implications of changes in election expectations on investment decisions and portfolio risk through real-time market commentary, interactive discussions, and case studies, and will introduce its Signal Chains related to market correlations. Founder Joel Shulman stated that election night is suitable for introducing the platform, allowing participants to observe how new information alters expectations and how the market reacts.The company introduction states that SignalMarkets was founded by investment practitioners and scholars, focusing on event trading, market analysis, and portfolio risk management. Participation in the event is educational in nature and does not require trading. The company also notes that event contracts involve financial risks, including the possibility of losing the invested amount, and whether trading is open depends on applicable regulatory and operational requirements.

first_img ChainOpera AI co-founder Salman Avestimehr: AI agents will drive the large-scale adoption of DeFi and RWA, dedicated to building a community-governed Crypto AGI network

ChainCatcher news, at the Silicon Valley 101 x RootData annual summit held in Silicon Valley, ChainOpera AI co-founder and University of Southern California professor Salman Avestimehr delivered a keynote speech on "The Foundation of Collaborative AI Agent Networks," systematically elaborating on his proposed vision of "Crypto AGI." This vision aims to deeply integrate AI and blockchain technology by building a community-driven, community-owned AI agent network, promoting the large-scale adoption of DeFi and real-world assets (RWA).Salman pointed out that the current DeFi and AI fields face issues such as complexity of use and resource monopolization. ChainOpera AI is committed to bridging these two areas through a community-driven intelligent agent network. He highlighted three core components:The ChainOpera AI Terminal application as the user entry point, integrating CoCo personal assistant, AI keyboard, and agent social network to achieve human-machine collaborative operations; a decentralized AI agent platform supported by community development, providing low-cost, highly available shared GPU and model services; and an AI collaboration protocol based on "Proof of Intelligence" consensus, which incentivizes users, developers, and resource providers in a verifiable manner.In addition, Salman stated that ChainOpera AI has achieved early-scale validation, with over 200,000 daily active users on-chain, more than 10,000 AI agents developed within the ecosystem, and partnerships established with over 50 partners.
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