Model Compression

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PrismML Multiverse Computing The New Stack Apple Bonsai 2 27B Bonsai 27B

Wednesday, 2 September 2026

Multiverse says its 438B model is fast enough for AI agents. The benchmarks tell a more complicated story.

The New Stack 1 month ago 1

Multiverse Computing launched Quasar 438B, its first large-scale reasoning model for coding and enterprise AI agents, and reported benchmark and speed results to support its agent-readiness claims. It said Artificial Analysis measures Quasar’s output at about 183 tokens per second. The company is relying on its CompactifAI compression approach to try to make repeated agent reasoning and tool-calling faster and cheaper, though key details like the compression savings and required hardware were not disclosed.

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AI Infrastructure Agentic AI Model Compression

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TLDRocket 15 October 2026

Anthropic’s IPO momentum dominated today’s AI news, and the details read like a pitch built for CFOs, not just researchers. The company told investors its third-quarter revenue hit $16.8 billion, up about 46% quarter over quarter and nearly 50% in the story’s framing, putting it on a clear path toward public-market scrutiny. Crucially for the valuation talk, distillation—how labs compress and reuse model knowledge—contributed only 5% to 7% of revenue before being “cut back materially” in Q3, shifting the mix away from spending and dependencies that other labs leaned on. An early backer’s market-odds math expects shares priced around $1.8 trillion with a trading value of $2.3 to $2.4 trillion, even comparing that jump to SpaceX’s roughly $2.1 trillion opening-day market cap.

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Model Compression

Key players

Wednesday, 2 September 2026

Multiverse says its 438B model is fast enough for AI agents. The benchmarks tell a more complicated story.

Every AI story that matters, in your inbox by 8am.

Every AI story that matters,
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