3/5 Execution policies help, too: you can see how sequential execution (vs. batched execution) saves spend but drives up latency for the same GPT-5 + MiniMax ensemble.
SYSTEMS
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Diverse Model Ensembles Outperform Single-Variant Pareto Frontier
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2/5 We started seeing real gains when we could take advantage of a diverse portfolio of models – e.g. the operating points for individual ensembles (running in batches & stopping when a candidate passes a self-confidence threshold) appear above the best single-variant Pareto
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AI21 Maestro Achieves SOTA on BrowseComp-Plus with 95.18% Accuracy
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1/5 We hit SOTA performance on BrowseComp-Plus with 95.18% accuracy using AI21 Maestro’s agent optimization. Here’s how we automated the search space and reached #1.
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Out-of-the-Box Frontend UI for AI Agents with Streaming
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[frontend] UI/UX is a surprisingly big part of building agents! It takes a while to hook up streaming, thread history, all the endpoints We do it for you! Get a frontend you can expose to users out of the box
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DeepAgents Deploy: Configuration-Driven Cloud Agent Harness Setup
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DeepAgents deploy is a simple, configuration driven way to get an agent harness deployed to the cloud deepagents.toml is the file that configures it. It has four sections:
– agent
– sandbox
– auth
-frontend Here's what each one does -

Researching Top Memory Benchmarks for AI Systems
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Top stories in robotics today: – Humanoids handle baggage at Tokyo airport
– SoftBank launches $100B robotics company
– Harvard’s ant bots rewrite swarm logic
– China freezes all robotaxi permits – Quick hits on other robotics news -
Small Models Handle Repetitive Agent Task Layers Efficiently
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Any repetitive agent task layer – routing, validation, retrieval – small models can handle it
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Homelab Becomes Personal Cloud With GPU and AI Agents
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~2,000 miles from home – SSH into the mothership
– WireGuard tunnel like I’m on LAN
– Resolve everything over private DNS
– Routes via reverse proxies – Dispatch jobs to GPUs
– Sync state across agents
– Search conversations, traces, artifacts, logs My homelab is now the cloud -

Webinar on Building AI Agents for Data Querying with Datahub and AWS
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India’s AI future is built with YOU ! You’ve been part of the AIKosh journey. Now it’s time to shape what comes next. From features you love to ideas you want to see, your voice can directly influence India’s AI roadmap. So do share your feedback & suggest platform improvements.
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HELIOS-002 AI Agent Benchmark Run Shows Energy Compute Resilience Results
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HELIOS‑002 ran GitHub Actions success Public GitHub Pages scoreboard updated Source docket exists Reusable capability under test: EnergyComputeResilienceCompiler‑v0 Task count: 8 Transfer task count: 5 Replay passes: 8 B6 beats B5 count: 5 Mean
