Morning Edition · Sunday, June 28, 2026
DeepSeek Open-Sources DSpark, Claiming Up to 4x Inference Throughput for V4
A semi-parallel speculative-decoding module bolted onto existing checkpoints reflects how much frontier-scale economics now turn on serving efficiency.
DeepSeek has released DSpark, a speculative-decoding method for its V4 Flash and V4 Pro models that the company says raises throughput by between 51 and 400 percent, depending on concurrency. The mechanism is familiar in outline. A faster d…
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Part of a tracked trend
Chinese Open-Weight Models Emerge as the Non-US AI Stack
As Washington restricts foreign access to US frontier models, governments and enterprises cut off from American AI increasingly standardize on downloadable Chinese open-weight models, splitting the world into competing AI supply blocs rather than a single frontier.
More from this edition
- AI Revenue Reaches $110 Billion and, for a Second Quarter, Outpaces the Cost of the Buildout
- Washington Orders Anthropic to Cut Off Two Models From All Foreign Nationals
- In a New Benchmark, an AI Agent Rebuilds a 60,000-Line Program From Its Behavior Alone
- Open-Vocabulary Segmentation Reaches Production as Apps Build on Meta's SAM 3
- Europe Picks an Italian Startup to Build a 400-Billion-Parameter Sovereign Model
- Alibaba Sues the Pentagon to Shed a 'Chinese Military Company' Label
- Anthropic Puts Claude Inside Slack as a Tagged Teammate
- Anthropic Asks Washington for Power to Block Dangerous AI Deployments
- Meta's Muse Spark Reaches Smart Glasses, Built on a Rebuilt Stack
- Hassabis Says AI Is Getting Good at Reconstructing What People See, and Imagine
- Chamath Accuses AI Leaders of Using Doom Warnings as a Fundraising Tactic