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Every published item, in order · 3 items
10月17日
PapersUS vs ChinaSelected16:33
DeepSeek V4.1 RL environment counts still hard to compare

RL environment counting has become a reporting gap: different labs may describe the same training run with wildly different sandbox numbers, making cross-lab comparisons unreliable. Practitioners tracking frontier RL scaling should read both the DeepSeek paper and the Beam blogpost before citing either figure. The expectation that V4.1F-1017 outperforms Beam sets up a concrete head-to-head comparison to watch.

Teortaxes@teortaxesTexSource
PapersUS vs ChinaSelected04:16
SWA Attention: DeepSeek and Kimi Chose Independent Architecture R&D Instead

The takeaway is that attention architecture choice has become a strategic fork: American spinouts standardise on SWA while Chinese labs treat attention design as proprietary IP. Engineers evaluating open-weight models should look past parameter counts and check which attention variant a model uses, since it shapes cost and context behaviour. The comparison with Mistral's stack gives a concrete reference point for judging the trade-offs.

Teortaxes@teortaxesTexSource
9月17日
AITOP16:09
Anthropic拟10月在新加坡设亚太第五个办事处 开...

Anthropic拟10月在新加坡设亚太第五个办事处 开放本地招聘 数据显示,按人口比例计算,新加坡的Claude.ai使用水平在121个国家中排名第二。 我们观察到,人工智能公司Anthropic计划于10月在新加坡设立其亚太地区的第五…

AITOPRead
9月14日
8月13日
8月7日
AITOP17:04
出口结构剧变:中国卖给世界的,不再是产品而是解法

中国出口"新新三样":从打火机到爬墙机器人,世界不再只是买便宜货 我们观察到一组清晰的数据信号:中国出口的"新新三样"已经从过去的服装、家具、家电,换成机器人、AI模型和创新药物。这不是产业升级的修辞游戏,而是发生在澳大利亚和巴西的实证样…

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8月2日