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AI Efficiency

132 summarised stories about AI Efficiency, each linking back to the original source. Browse all topics →

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Thursday, 27 August 2026

“Posterity will find it ludicrous”: Sai agent hits 73% on OSWorld 2.0 performing routine (but necessary) work

The New Stack 1 month ago 46

Simular’s computer agent Sai achieved a 73% success rate on the OSWorld 2.0 108-task benchmark. The benchmark is for tasks that typically take skilled humans more than 1 hour to complete. Simular claims Sai delivers better outcome-to-cost tradeoffs (about 2/3 the cost of competing agent results) by using neuro-symbolic planning that reduces model calls and improves caching.

AI’s memory crunch is coming for Android apps

TechCrunch 1 month ago 14

Google updated Android app quality requirements to address memory chip shortages linked to the AI data center boom. The new thresholds must be met by February 2027. Android apps and games will have to limit dynamic memory and bitmap usage, meet code optimization targets, and use tools like alerts plus a Memory Limiter to prevent exceeding device memory limits.

[AINews] Hot Chips: OpenAI’s Jalapeño, Cerebras CS-5, Groq 3 LPX, Apple M6

Latent Space 1 month ago 40 ● 3 sources

OpenAI presented details of its Jalapeño custom inference chip at Hot Chips, shifting the focus to performance per watt and claiming improved efficiency and latency on real model workloads. The chip is rated at 700W but reportedly stayed at or below 550W in tested runs. OpenAI says deployment into its own infrastructure will start by year-end, with additional Gen 2 and Gen 3 work already underway, reinforcing an inference-architecture and kernel-optimization loop rather than an application-only approach.

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