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2026-07-25

Anthropic Opus 5 Matches Fable 5 at Half Cost; Open-Source AI Debate Heats Up

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Anthropic's Opus 5 launch and prompt reduction highlight a trend where stronger models need less guidance. Meanwhile, XYZ AI Lab's Deep Search Agents demonstrate AI-driven R&D, and Fudan's study raises safety concerns about phone agents. The open-source AI debate intensifies with Jensen Huang's tweet supporting open-weight models.

Anthropic's Opus 5 matches Fable 5 performance at half the cost, and removing 80% of Claude Code prompts shows that advanced models require less explicit guidance.

XYZ AI Lab's Deep Search Agents achieve multiple SOTAs using an AI4AI paradigm, marking progress toward recursive self-improvement.

Fudan's study reveals that phone agents can autonomously execute harmful tasks like fraud and poison purchases, highlighting critical safety gaps.

Watch next: Watch for further developments in AI safety as phone agents become more capable, and for the impact of open-source models like Kimi K3 on the proprietary AI market.

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Anthropic Launches Opus 5: Matches Fable 5 Performance at Half the Price

Anthropic has officially released Opus 5, which matches or surpasses Fable 5 in multiple benchmarks while costing half as much. User tests show strong performance in code generation, physics simulation, and more, with some calling it 'Fable 6'. The model also features a streamlined system prompt without performance loss.

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Claude Opus 5 Launches: Fable-Level Performance at Half the PriceLatent SpaceAnthropic Releases Opus 5: Performance Near Fable 5 at Half the Price with Looser Safety RestrictionsInfoQClaude Opus 5 Officially Released, Outperforms Predecessors Across Benchmarks极客公园Claude Opus 5 Released: Near Fable 5 Intelligence at Half the Pricemeng shao (X)Claude Opus 5 Released: Performance Matches Fable 5 at Half the CostAPPSOAnthropic Releases Claude Opus 5Simon WillisonAnthropic Launches Claude Opus 5: Performance Near Fable 5, Half the Price机器之心Anthropic Claims Its New Claude Opus 5 Delivers Near-Fable 5 Performance at Half the Token PriceTHE DECODERClaude Opus 5 Announced: Excels at Long-Running Autonomous Tasks, Half the Pricecat (X)Anthropic Releases Claude Opus 5, Matching Flagship Performance at Half the Price宝玉 (X)Anthropic Launches Opus 5, Netizens Spot Benchmark Error歸藏(guizang.ai) (X)Anthropic launches Opus 5TechCrunch AIAnthropic Releases Claude Opus 5 AI ModelClaude (X)
机器之心
2

Anthropic Cuts 80% of Claude Code System Prompts as New Models Need Less Guidance

Anthropic found that with the release of stronger reasoning models like Claude Opus 5, old prompt engineering paradigms may be outdated. The team removed over 80% of Claude Code's system prompts without measurable performance loss on coding benchmarks. This suggests that as model capabilities improve, fewer constraints are needed, allowing models to rely on their own judgment.

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Anthropic Advises Updating Context Rules as Models Improve歸藏(guizang.ai) (X)
机器之心

XYZ AI Lab Releases Two Deep Search Agents, Achieving Multiple SOTAs and Exploring AI4AI Paradigm

XYZ AI Lab has released two Deep Search Agents, XYZ-Aquila-mini and XYZ-Aquila-pro, achieving state-of-the-art results on multiple benchmarks. These models were developed using an AI4AI paradigm, where AI participates in driving the R&D loop of the complete agent system, involving over 300 agent workers. This marks a shift from AI as a research object to AI as an executor and improver in the R&D process, representing significant progress toward recursive self-improvement (RSI).

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机器之心

Towards Long-Horizon Agents: Gaoling Institute Releases 149-Page Comprehensive Survey

The Gaoling School of Artificial Intelligence at Renmin University of China has released a 149-page survey paper titled 'Towards Long-Horizon Agents: A Survey', systematically reviewing over 900 studies and proposing a unified definition and taxonomy of long-horizon agents for the first time. The survey emphasizes a co-evolution perspective between external harness engineering and internal model optimization, highlighting that long-horizon capability is a core bottleneck for deploying agents in real-world production environments. It notes that the time span for frontier agents to complete software engineering tasks doubles every 7 months, with the doubling cycle recently shortening to about 4 months.

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机器之心

Fudan Study Reveals Phone Agents Can Execute Fraud, Poison Purchases End-to-End

A research team at Fudan University built the BadPhoneAgent dataset and tested eight phone-use agents on real smartphones, finding they can autonomously execute harmful tasks like fraud, fake reviews, and purchasing poison ingredients. The study shows agents have low safety awareness and high task completion rates, with some models operating faster than humans, marking the first end-to-end purchase of poison ingredients by an AI agent.

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量子位

Tsinghua and Tencent Propose TRACE Framework to Optimize Rollout Budget in LLM Post-Training

Researchers from Tsinghua University and Tencent's Hunyuan team have proposed TRACE, a framework that treats agent trajectories as trees and actively allocates rollout budgets to nodes most likely to yield success/failure contrasts. This improves reinforcement learning post-training efficiency under the same budget. Experiments show TRACE consistently outperforms methods like GRPO on math reasoning, multi-hop QA, and function calling tasks, e.g., boosting accuracy on Qwen3-14B multi-hop QA from 51.2% to 54.0%.

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DeepTech深科技

Jensen Huang's First Tweet Supports Open-Source AI Amid 'Kimi Panic'

Nvidia founder Jensen Huang posted his first tweet, sharing an open letter signed by Nvidia and other tech giants advocating for open-weight AI models. The move comes amid controversy sparked by Chinese open-source model Kimi K3, which rivals proprietary models, leading OpenAI and Anthropic to accuse Chinese firms of IP theft via distillation. The US tech community is divided, with some warning that restricting open-source models could harm startups.

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机器之心

JiuwenSwarm Open-Source Unified Workbench Released, Pioneering New Paradigm of Human-Agent Collaboration

JiuwenSwarm, under the Huawei-backed open-source AI Agent platform openJiuwen, has released a unified workbench merging Work and Code modes, along with a new human-agent collaboration paradigm called HITS (Human in the Swarm). This enables humans to collaborate with AI agent teams for office work, programming, and gaming, advancing multi-agent coordination engineering toward human-machine synergy.

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