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Z.ai Reframes Scaling Beyond Parameter Counts

Z.ai Reframes Scaling Beyond Parameter Counts

Z.ai argues that model scaling should account for data, compute allocation, inference cost, sparsity, effective depth, and post-training—not parameters alone. The post presents GLM-5.3 as a controlled experiment using the same total and activated parameters as GLM-5.2 while scaling long-horizon environments and reinforcement learning for one month.

Reddit r/LocalLLaMACommunity1d ago#scaling-laws#mixture-of-experts#post-training
Unverified Harness Claims to Beat Fable 5

Unverified Harness Claims to Beat Fable 5

The community project J-Space Cognition Suite claims to improve DeepSeek V4-Pro-0813 through an inference-time Agent Harness without changing model weights. Its reported gains on several benchmarks have not been independently reproduced, and the project is unrelated to Anthropic's internal J-space interpretability research.

Anthropic Targets a Record-Breaking IPO

Anthropic Targets a Record-Breaking IPO

Anthropic reportedly expects its IPO to match or exceed SpaceX's record $75 billion raise and could file publicly as soon as the end of this month. The company reportedly recorded an almost $42 billion net loss in 2025, about five times the previous year's figure.

The Next Web (TNW)Media1h ago#ipo#frontier-ai#fundraising
AgentCore Automates Cloud Migration

AgentCore Automates Cloud Migration

AWS Professional Services uses a multi-agent framework on Amazon Bedrock AgentCore to automate enterprise cloud migrations end to end. Specialized agents cover discovery, infrastructure-as-code generation, portfolio governance, and post-migration operations, reducing IaC development time from weeks to minutes.

AWS Machine Learning BlogOfficial4h ago#cloud-migration#multi-agent#automation
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