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Every published item, in order · 111 items
Oct 22
Oct 21
IndustryUS vs ChinaMulti-sourceSelected79°13:09
DeepSeek V4.1F shows 5x-7.4x decode edge on Ascend 950DT vs GB200

The cost crossover at 6.8K tokens/s/chip reframes the Ascend-versus-Blackwell debate from raw benchmark losses to workload-dependent economics, suggesting DeepSeek could run its API on a sub-US$1B Blackwell cluster while pivoting post-training to Ascend. Practitioners tracking inference infrastructure or Huawei's CANN ecosystem get a rare concrete per-chip price and throughput comparison. The proposed 128-chip Ascend supernode topology has no Nvidia equivalent, which matters for anyone planning large-scale decode deployments.

Event
Teortaxes@teortaxesTex11 sourcesSource
Oct 20
ModelsUS vs ChinaMulti-sourceSelected00:01
MiniMax-M3.1-Flash scores 42 on Artificial Analysis Index

Efficiency is the headline: the model used ~189M output tokens versus 324M for GLM-5.3-Flash, so low cost comes from token frugality as much as pricing. Its 93% hallucination rate on AA-Omniscience means teams should add verification layers for factual workloads. An open-weights release on 23 October 2026 would make it directly comparable with DeepSeek's open models for ASEAN startups building on local hosting.

Event
官方账号Artificial Analysis@ArtificialAnlys6 sourcesSource
Oct 19
IndustryUS vs ChinaSelected23:52
NetEase LobsterAI releases second China office Agent user behaviour report

Cache hit rate alone is a poor proxy for cost: models with nearly identical hit rates showed a more than seven-fold gap in what users actually paid versus list price, making DeepSeek's pricing structure unusually favourable for long agent tasks. Teams deploying office agents in China can use the per-model effective-cost figures to pick cheaper backends, with LobsterAI reachable via desktop, WeChat and Feishu. The report is self-reported product data, so treat the absolute numbers as one product's view rather than market-wide evidence.

Event
宝玉@dotey2 sourcesSource
Oct 18
Oct 17
ModelsUS vs ChinaOfficialSelected21:01
DeepSeek V4.1 Flash tested on game effect prompts

The practical comparison suggests DeepSeek's lightweight tier can handle production-style creative coding tasks that previously demanded Claude's top model. Developers building effect or animation workflows on a budget can treat V4.1 Flash as a workable fallback. Testing against your own Opus prompts is the quickest way to gauge the gap.

官方一手歸藏(guizang.ai)@op7418Source
ModelsBuildersOfficialSelected20:08
DeepSeek V4.1 Flash 1017 Tested on Game Effects Prompt

The benchmark chart on DeepSeek SWE V1.1 puts it above all competing models, so independent comparisons like this one matter before trusting the numbers. Builders running agent harnesses can try the new search API for Chinese-language retrieval. The trade-off against Opus 5.5 in creativity gives a concrete quality reference for cost-sensitive projects.

官方一手歸藏(guizang.ai)@op7418Source
Sep 17
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
Aug 13
Aug 7
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…

AITOPRead
Aug 2