5/5 Maestro automatically searches across this space (model ensembles, scaling strategies, execution policies), maps the Pareto frontier, and surfaces the full accuracy–cost–latency tradeoff surface. Read the full methodology here:
RESEARCH
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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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Estimating Black-Box LLM Size via Factual Knowledge Probes
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"Incompressible Knowledge Probes: Estimating Black-Box LLM Parameter Counts via Factual Capacity" This paper estimate close source LLM size from long-tail facts by using 1400 probes of obscure knowledge. The idea is that reasoning can be compressed, but factual storage can't.
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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 -
Hassabis: AGI Is Close, Missing Continual Learning and Memory
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Demis Hassabis: We're on the right track to AGI; we probably have all the components. We're just missing a few things like continual learning and solving the memory problem. pic.twitter.com/zuIKOiKnB7
— Chubby♨️ (@kimmonismus) 30 avril 2026Demis Hassabis: We're on the right track to AGI; we probably have all the components. We're just missing a few things like continual learning and solving the memory problem.
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Challenges and Benefits of Neuromorphic Computing Explained
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Challenges and Benefits of Neuromorphic Computing by @antgrasso #EmergingTech #Technology #Innovation
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Researchers Sought for Cosmos World Models Team
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Attn researchers working on world models… come work with Ming-Yu’s Cosmos team
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Preconditioned DeltaNet Adds Curvature-Aware Linear Recurrence Modeling
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“Preconditioned DeltaNet: Curvature-aware Sequence Modeling for Linear Recurrences” This paper views linear recurrences through a least-squares/test-time regression lens, and adds the missing curvature information via preconditioning. Main idea: precondition the delta-rule
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AI Advances Prediction of Type 1 Autoimmune Diabetes
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A jump in our ability to predict Type 1 autoimmune diabetes should help future preventive strategies @NatureGenet https://
nature.com/articles/s4158
8-026-02571-5
… https://
nature.com/articles/s4158
8-026-02578-y
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