[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-b61cb7f4a5958f02-energy-per-successful-goal-a-new-metric-for-agenti-summary":3,"summaries-facets-categories":104,"summary-related-b61cb7f4a5958f02-energy-per-successful-goal-a-new-metric-for-agenti-summary":5678},{"id":4,"title":5,"ai":6,"body":13,"categories":69,"created_at":71,"date_modified":71,"description":63,"extension":72,"faq":71,"featured":73,"kicker_label":71,"meta":74,"navigation":87,"path":88,"published_at":89,"question":71,"scraped_at":89,"seo":90,"sitemap":91,"source_id":92,"source_name":93,"source_type":94,"source_url":80,"stem":95,"tags":96,"thumbnail_url":71,"tldr":101,"tweet":71,"unknown_tags":102,"__hash__":103},"summaries\u002Fsummaries\u002Fb61cb7f4a5958f02-energy-per-successful-goal-a-new-metric-for-agenti-summary.md","Energy per Successful Goal: A New Metric for Agentic AI Efficiency",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4084,611,4003,0.0019375,{"type":14,"value":15,"toc":62},"minimark",[16,21,25,29,32,55,59],[17,18,20],"h2",{"id":19},"the-shift-from-token-centric-to-goal-centric-accounting","The Shift from Token-Centric to Goal-Centric Accounting",[22,23,24],"p",{},"Traditional AI efficiency metrics focus on compute-per-token or latency-per-request, which fail to capture the reality of agentic workflows. Agents often perform multiple reasoning steps, tool calls, and self-corrections to complete a single task. The authors argue that these metrics are insufficient for measuring the true environmental and operational cost of autonomous systems. By introducing 'Energy per Successful Goal' (ESG), the researchers propose a holistic accounting framework that tracks the total energy expenditure—including inference, tool execution, and planning overhead—required to reach a verified successful outcome.",[17,26,28],{"id":27},"why-esg-matters-for-production-systems","Why ESG Matters for Production Systems",[22,30,31],{},"ESG provides a more accurate picture of the trade-offs between model intelligence and operational cost. A smaller, less capable model might have a lower cost per token, but if it requires more iterations or fails to reach the goal, its ESG will be significantly higher than a more powerful model that solves the task in fewer steps. This metric allows developers to:",[33,34,35,43,49],"ul",{},[36,37,38,42],"li",{},[39,40,41],"strong",{},"Optimize for Task Completion:"," Move beyond optimizing for inference speed to optimizing for 'task-completion efficiency.'",[36,44,45,48],{},[39,46,47],{},"Quantify Agent Overhead:"," Measure the energy 'tax' imposed by complex agentic loops, such as multi-step chain-of-thought or recursive error handling.",[36,50,51,54],{},[39,52,53],{},"Informed Model Selection:"," Make data-driven decisions on whether to use a large, high-capability model for a single-shot task versus a smaller model that might require multiple attempts.",[17,56,58],{"id":57},"implications-for-sustainable-ai-engineering","Implications for Sustainable AI Engineering",[22,60,61],{},"As AI agents move from research demos to production environments, the cumulative energy footprint becomes a significant business and environmental concern. The authors demonstrate that by tracking energy at the goal level, engineering teams can identify 'inefficiency hotspots' in their agentic pipelines. This approach encourages the development of more robust, efficient planning strategies that minimize unnecessary compute cycles, ultimately leading to more sustainable and cost-effective AI deployments.",{"title":63,"searchDepth":64,"depth":64,"links":65},"",2,[66,67,68],{"id":19,"depth":64,"text":20},{"id":27,"depth":64,"text":28},{"id":57,"depth":64,"text":58},[70],"AI & LLMs",null,"md",false,{"content_references":75,"triage":82},[76],{"type":77,"title":78,"author":79,"url":80,"context":81},"paper","Energy per Successful Goal: Goal-Level Energy Accounting for Agentic AI Systems","Unknown","https:\u002F\u002Farxiv.org\u002Fabs\u002F2605.22883","cited",{"relevance":83,"novelty":83,"quality":83,"actionability":84,"composite":85,"reasoning":86},4,3,3.8,"Category: AI & LLMs. The article introduces a new metric, 'Energy per Successful Goal' (ESG), which addresses a specific pain point for developers by providing a framework for evaluating AI agent efficiency in production systems. It offers insights into optimizing task completion and quantifying overhead, making it relevant for those building AI-powered products.",true,"\u002Fsummaries\u002Fb61cb7f4a5958f02-energy-per-successful-goal-a-new-metric-for-agenti-summary","2026-05-25 07:00:18",{"title":5,"description":63},{"loc":88},"b61cb7f4a5958f02","arXiv cs.AI","article","summaries\u002Fb61cb7f4a5958f02-energy-per-successful-goal-a-new-metric-for-agenti-summary",[97,98,99,100],"machine-learning","ai-agents","performance","energy-efficiency","The paper introduces 'Energy per Successful Goal' (ESG) as a critical metric for evaluating AI agent efficiency, shifting focus from raw compute costs to the energy required to complete specific, actionable 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Perplexity’s new 'Brain' system redefines memory as a performance tool. Instead of profiling the user, Brain focuses on the agent's work, tracking what tasks were performed, which approaches succeeded, where failures occurred, and what corrections were applied. This shift transforms memory from a static profile into a dynamic, traceable context graph.",[17,5697,5699],{"id":5698},"the-context-graph-and-recursive-improvement","The Context Graph and Recursive Improvement",[22,5701,5702],{},"Brain functions as an 'LLM wiki' that is automatically loaded into the agent's sandbox. This graph maps the user's projects, people, and resources, allowing the agent to traverse personal information effectively. 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It presents novel insights into how memory can be redefined for AI agents, but the practical application details are somewhat limited.","\u002Fsummaries\u002F329ab127198d39ad-perplexity-brain-self-improving-memory-for-ai-agen-summary","2026-06-19 12:57:01",{"title":5681,"description":63},{"loc":5770},"329ab127198d39ad","MarkTechPost","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F06\u002F18\u002Fperplexity-launches-brain\u002F","summaries\u002F329ab127198d39ad-perplexity-brain-self-improving-memory-for-ai-agen-summary",[5779,5780,97,98],"llm","automation","Perplexity's 'Brain' system shifts AI memory from user-centric profiles to agent-centric performance, using an overnight context graph to learn from past tasks, failures, and corrections to improve future efficiency.",[98],"9aQNXrvMz_8VVg-1TqCMYnapQstVoO5Qcc7Smko6LAA",{"id":5785,"title":5786,"ai":5787,"body":5792,"categories":5840,"created_at":71,"date_modified":71,"description":63,"extension":72,"faq":71,"featured":73,"kicker_label":71,"meta":5841,"navigation":87,"path":5848,"published_at":5849,"question":71,"scraped_at":5849,"seo":5850,"sitemap":5851,"source_id":5852,"source_name":93,"source_type":94,"source_url":5845,"stem":5853,"tags":5854,"thumbnail_url":71,"tldr":5857,"tweet":71,"unknown_tags":5858,"__hash__":5859},"summaries\u002Fsummaries\u002F22975157888d206c-worldlines-benchmarking-long-horizon-stateful-embo-summary.md","WorldLines: Benchmarking Long-Horizon Stateful Embodied Agents",{"provider":7,"model":8,"input_tokens":5788,"output_tokens":5789,"processing_time_ms":5790,"cost_usd":5791},4091,488,3078,0.00175475,{"type":14,"value":5793,"toc":5835},[5794,5798,5801,5805,5808,5828,5832],[17,5795,5797],{"id":5796},"the-challenge-of-long-horizon-embodied-state","The Challenge of Long-Horizon Embodied State",[22,5799,5800],{},"Most current embodied AI benchmarks focus on short-term, reactive tasks. WorldLines shifts the focus toward 'long-horizon stateful' interactions, where an agent must maintain a persistent internal representation of the world and its own history to succeed. The core problem addressed is the 'forgetting' or state-drift that occurs when agents operate over extended timeframes, making them unable to reconcile past actions with current environmental requirements.",[17,5802,5804],{"id":5803},"the-worldlines-benchmark-framework","The WorldLines Benchmark Framework",[22,5806,5807],{},"The authors propose WorldLines as a rigorous evaluation suite for testing agent persistence. Unlike static benchmarks, WorldLines requires agents to:",[33,5809,5810,5816,5822],{},[36,5811,5812,5815],{},[39,5813,5814],{},"Maintain State:"," Track object properties, spatial relationships, and task progress across thousands of steps.",[36,5817,5818,5821],{},[39,5819,5820],{},"Handle Temporal Dependencies:"," Execute multi-stage plans where the outcome of step 100 is contingent on a decision made at step 5.",[36,5823,5824,5827],{},[39,5825,5826],{},"Adapt to Dynamic Environments:"," Manage state updates when the environment changes independently of the agent's actions.",[17,5829,5831],{"id":5830},"modeling-and-evaluation","Modeling and Evaluation",[22,5833,5834],{},"The paper introduces a modeling approach that emphasizes memory-augmented architectures. By forcing agents to explicitly manage a 'world state'—rather than relying solely on the context window of a Large Language Model—the researchers demonstrate that agents can significantly improve their success rates in complex, multi-room, or multi-object manipulation tasks. The benchmark provides a standardized way to measure 'state fidelity,' quantifying how accurately an agent's internal model reflects the actual state of the simulated environment over time.",{"title":63,"searchDepth":64,"depth":64,"links":5836},[5837,5838,5839],{"id":5796,"depth":64,"text":5797},{"id":5803,"depth":64,"text":5804},{"id":5830,"depth":64,"text":5831},[70],{"content_references":5842,"triage":5846},[5843],{"type":77,"title":5844,"url":5845,"context":5765},"WorldLines: Benchmarking and Modeling Long-Horizon Stateful Embodied Agents","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.18847",{"relevance":83,"novelty":83,"quality":83,"actionability":84,"composite":85,"reasoning":5847},"Category: AI & LLMs. The article introduces a new benchmarking framework for evaluating embodied AI agents, addressing a specific pain point of maintaining state over long periods, which is relevant for developers building AI-powered products. It provides insights into modeling approaches that could be applied in practice, though it lacks detailed actionable steps for implementation.","\u002Fsummaries\u002F22975157888d206c-worldlines-benchmarking-long-horizon-stateful-embo-summary","2026-06-18 12:56:59",{"title":5786,"description":63},{"loc":5848},"22975157888d206c","summaries\u002F22975157888d206c-worldlines-benchmarking-long-horizon-stateful-embo-summary",[97,98,5855,5856],"embodied-ai","benchmarking","WorldLines introduces a new benchmark and modeling framework designed to evaluate how embodied AI agents maintain state and execute complex, long-horizon tasks over extended periods.",[98,5855,5856],"KnLJmHY7nIvAe9Qdc0Kt1_5O6AgGSswsLcN4OpPu_cM",{"id":5861,"title":5862,"ai":5863,"body":5868,"categories":5913,"created_at":71,"date_modified":71,"description":63,"extension":72,"faq":71,"featured":73,"kicker_label":71,"meta":5914,"navigation":87,"path":5926,"published_at":5927,"question":71,"scraped_at":5927,"seo":5928,"sitemap":5929,"source_id":5930,"source_name":5775,"source_type":94,"source_url":5931,"stem":5932,"tags":5933,"thumbnail_url":71,"tldr":5935,"tweet":71,"unknown_tags":5936,"__hash__":5937},"summaries\u002Fsummaries\u002Ffdfcce34222e582b-achieving-1000-tps-on-1t-models-via-model-system-c-summary.md","Achieving 1000+ TPS on 1T Models via Model-System Codesign",{"provider":7,"model":8,"input_tokens":5864,"output_tokens":5865,"processing_time_ms":5866,"cost_usd":5867},9330,706,4356,0.0033915,{"type":14,"value":5869,"toc":5908},[5870,5874,5877,5881,5901,5905],[17,5871,5873],{"id":5872},"the-architecture-of-extreme-inference-speed","The Architecture of Extreme Inference Speed",[22,5875,5876],{},"Xiaomi's MiMo-V2.5-Pro-UltraSpeed achieves over 1000 tokens per second (TPS) on a 1-trillion-parameter Mixture-of-Experts (MoE) model using a single 8-GPU commodity node. This performance is not the result of custom silicon, but rather \"extreme model-system codesign\" that optimizes three distinct layers to eliminate bottlenecks.",[17,5878,5880],{"id":5879},"three-layers-of-optimization","Three Layers of Optimization",[33,5882,5883,5889,5895],{},[36,5884,5885,5888],{},[39,5886,5887],{},"FP4 Quantization:"," To reduce memory bandwidth pressure, Xiaomi applies MXFP4 quantization selectively to the model's MoE experts, which hold the majority of parameters. Other modules utilize FP8 precision. Quantization-Aware Training (QAT) ensures that this reduction does not degrade benchmark performance compared to the original model.",[36,5890,5891,5894],{},[39,5892,5893],{},"DFlash Speculative Decoding:"," Traditional speculative decoding is limited by the serial nature of draft model generation. DFlash overcomes this by using block-level masked parallel prediction, allowing the draft model to fill a block of positions in a single forward pass. Tuned with the Muon second-order optimizer and self-distillation, it achieves high acceptance lengths—averaging 6.30 tokens in coding tasks and 5.56 in math\u002Freasoning.",[36,5896,5897,5900],{},[39,5898,5899],{},"TileRT Runtime:"," At 1000 TPS, traditional operator-by-operator execution creates significant overhead. TileRT replaces this with a Persistent Engine Kernel that remains resident on the GPU. By using Warp Specialization, it coordinates data movement, compute, and communication, preventing the microsecond-scale gaps that typically fracture execution streams.",[17,5902,5904],{"id":5903},"trade-offs-and-availability","Trade-offs and Availability",[22,5906,5907],{},"This high-speed mode is designed for latency-sensitive, throughput-bound workloads. While it offers roughly 10x the speed of the baseline MiMo-V2.5-Pro, it comes at 3x the cost and is currently restricted to an API-only trial. The system represents a shift toward optimizing serving infrastructure alongside model architecture, rather than treating them as separate concerns.",{"title":63,"searchDepth":64,"depth":64,"links":5909},[5910,5911,5912],{"id":5872,"depth":64,"text":5873},{"id":5879,"depth":64,"text":5880},{"id":5903,"depth":64,"text":5904},[70],{"content_references":5915,"triage":5924},[5916,5920],{"type":5762,"title":5917,"url":5918,"context":5919},"MiMo-V2.5-Pro-FP4-DFlash","https:\u002F\u002Fhuggingface.co\u002FXiaomiMiMo\u002FMiMo-V2.5-Pro-FP4-DFlash","recommended",{"type":5762,"title":5921,"url":5922,"context":5923},"TileRT","https:\u002F\u002Fmimo.xiaomi.com\u002Fblog\u002Fmimo-tilert-1000tps","mentioned",{"relevance":5767,"novelty":83,"quality":83,"actionability":84,"composite":5768,"reasoning":5925},"Category: AI & LLMs. The article provides in-depth insights into optimizing AI model performance through specific techniques like FP4 quantization and DFlash speculative decoding, addressing the audience's need for practical applications in AI engineering. It presents novel approaches to achieving high throughput, which is valuable for developers looking to implement similar strategies.","\u002Fsummaries\u002Ffdfcce34222e582b-achieving-1000-tps-on-1t-models-via-model-system-c-summary","2026-06-09 12:58:15",{"title":5862,"description":63},{"loc":5926},"fdfcce34222e582b","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F06\u002F08\u002Fxiaomi-mimo-and-tilert-push-a-1-trillion-parameter-model-past-1000-tokens-per-second-on-commodity-gpus\u002F","summaries\u002Ffdfcce34222e582b-achieving-1000-tps-on-1t-models-via-model-system-c-summary",[5779,5934,97,99],"ai-tools","Xiaomi's MiMo-V2.5-Pro-UltraSpeed achieves 1000+ tokens per second on commodity hardware by combining FP4 quantization, DFlash speculative decoding, and the TileRT runtime.",[99],"HuIdLYINnCBOoqa-I97q1O4nbNLFXYmW8sGLCM4iOaM",{"id":5939,"title":5940,"ai":5941,"body":5946,"categories":5966,"created_at":71,"date_modified":71,"description":63,"extension":72,"faq":71,"featured":73,"kicker_label":71,"meta":5967,"navigation":87,"path":5977,"published_at":5978,"question":71,"scraped_at":5978,"seo":5979,"sitemap":5980,"source_id":5981,"source_name":93,"source_type":94,"source_url":5973,"stem":5982,"tags":5983,"thumbnail_url":71,"tldr":5986,"tweet":71,"unknown_tags":5987,"__hash__":5988},"summaries\u002Fsummaries\u002Ffda608774415188c-coagents-a-multi-agent-framework-for-routing-optim-summary.md","COAgents: A Multi-Agent Framework for Routing Optimization",{"provider":7,"model":8,"input_tokens":5942,"output_tokens":5943,"processing_time_ms":5944,"cost_usd":5945},4096,450,2764,0.001699,{"type":14,"value":5947,"toc":5962},[5948,5952,5955,5959],[17,5949,5951],{"id":5950},"the-challenge-of-routing-search-spaces","The Challenge of Routing Search Spaces",[22,5953,5954],{},"Routing problems, such as the Traveling Salesperson Problem or vehicle routing, involve massive, discrete search spaces that are computationally expensive to navigate. Traditional heuristic and exact methods often struggle to balance exploration (finding new, potentially better paths) and exploitation (refining known good solutions). COAgents addresses this by deploying a multi-agent architecture where specialized agents collaborate to learn the structure of the search space rather than relying on static, hand-coded heuristics.",[17,5956,5958],{"id":5957},"multi-agent-collaboration-for-optimization","Multi-Agent Collaboration for Optimization",[22,5960,5961],{},"The COAgents framework utilizes a team of agents, each potentially focusing on different aspects of the optimization process—such as path generation, local search refinement, or global strategy adjustment. By distributing these tasks, the system can explore diverse regions of the search space simultaneously. The framework allows these agents to share information about promising regions, effectively 'learning' the landscape of the problem as they solve it. This collaborative approach enables the system to adapt to different problem instances more effectively than monolithic algorithms, as the agents can dynamically adjust their strategies based on the feedback received from the search process. The framework was accepted at the LION 2026 conference, highlighting its relevance to the intersection of machine learning and intelligent optimization.",{"title":63,"searchDepth":64,"depth":64,"links":5963},[5964,5965],{"id":5950,"depth":64,"text":5951},{"id":5957,"depth":64,"text":5958},[70],{"content_references":5968,"triage":5974},[5969],{"type":5970,"title":5971,"publisher":5972,"url":5973,"context":81},"other","COAgents: Multi-Agent Framework to Learn and Navigate Routing Problems Search Space","arXiv","https:\u002F\u002Farxiv.org\u002Fabs\u002F2605.20618",{"relevance":83,"novelty":84,"quality":83,"actionability":64,"composite":5975,"reasoning":5976},3.4,"Category: AI & LLMs. The article discusses a multi-agent framework for routing optimization, which maps to AI and optimization, addressing a specific audience pain point of navigating complex search spaces. However, while it presents some new insights into multi-agent collaboration, it lacks detailed actionable steps for implementation.","\u002Fsummaries\u002Ffda608774415188c-coagents-a-multi-agent-framework-for-routing-optim-summary","2026-05-22 07:00:20",{"title":5940,"description":63},{"loc":5977},"fda608774415188c","summaries\u002Ffda608774415188c-coagents-a-multi-agent-framework-for-routing-optim-summary",[97,98,5984,5985],"optimization","routing-problems","COAgents is a multi-agent framework designed to navigate complex search spaces in routing problems by combining collaborative agent intelligence with optimization techniques.",[98,5984,5985],"qHQ6DmvqL72MwZXu4p5FUf6PyxTOdJXGo940_cMWFlE"]