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Every published item, in order · 26 items
10月22日
10月21日
ModelsUS vs ChinaMulti-sourceSelected77°09:43
DeepSeek Open-Sources DeepInfer Inference Framework for V4.1 Flash

Open-sourcing the framework that runs DeepSeek's own production fleet gives operators a rare look at inference internals optimised for both NVIDIA and Huawei Ascend hardware, a dual-platform angle few comparable stacks like vLLM or SGLang emphasise. Teams running DeepSeek models on Ascend 950 in Southeast Asia gain a first-party option instead of community ports. Deterministic sampling is currently NVIDIA-only, so check hardware fit before adopting.

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SuperTechFans11 sourcesSource
10月20日
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10月10日
ProductsBuildersOfficialSelected10:49
Lenovo's TianxiCode Agent and DeepSeek-V4.1-Flash

This benchmark result demonstrates the practical effectiveness of combining enterprise frameworks with specialized models for coding assistance. Developers working on complex software engineering tasks can leverage this combination as a verified reference point for building their own coding assistants. The performance compares favorably to other coding assistants in the market.

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官方一手pandaily@[email protected] (Pandaily)6 sourcesSource
10月9日
PapersBuildersMulti-sourceSelected08:54
ByteDance Seed finds phase sensitivity behind DeepSeek long-context drift

Benchmark averages can mask periodic failure modes in long-context retrieval, so a model that looks solid on mean scores may still drop retrievals depending on where content sits in the compression window. Engineers running DeepSeek or similar KV-compressed models on RAG or agent pipelines should test retrieval across phase positions rather than relying on aggregate accuracy. The arXiv paper (2609.36322) offers the evaluation methodology to replicate.

Event
IT之家6 sourcesSource
9月23日
ModelsUS vs ChinaMulti-sourceSelected19:27
Step 5 Preview tested on two real coding tasks

Benchmark scores can hide whether a model survives long, multi-step builds, so the value here is watching Step 5 Preview handle mechanical synchronisation and real tooling rather than canned puzzles. Developers choosing between Step 5, GLM-5.3, Kimi K3 and Claude Opus 5 get a practical cost-versus-reliability comparison for agentic coding workflows. The stated price gap makes it a concrete candidate for teams in Southeast Asia and beyond cutting per-task inference spend.

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掘金本周最热@猫猫头啊6 sourcesSource
9月20日
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…

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9月14日
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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