Alibaba launches QwenWork for enterprise AI

The headline price is low, but the benchmark shows the real cost lives in tokens: ~7k-token search results make DeepSeek's model cost the 2nd highest on the board at ~US$0.023 per task. Developers building search-augmented agents should weigh that against the weak BrowseComp score of 63%, which trails Perplexity variants and Octen at 85% to 87% on multi-hop tasks. Compared with alternatives like Exa and Firecrawl, DeepSeek wins on price, not on factual accuracy.

官方账号Artificial Analysis@ArtificialAnlysSource

Pre-configured reference hardware could cut weeks of environment setup to days, lowering the barrier for labs that want to experiment with general-purpose robots rather than build their own stacks. Research teams at universities and corporate labs are the target buyers, with Stanford and ETH Zurich already expressing interest. Regional availability and pricing for Southeast Asian buyers have not been announced, so early access likely runs through Agile Robots' existing research channels.

Migration to object storage means read throughput can grow separately from Git's traditional monolithic storage, a design choice driven by automated agents hammering repos at volumes human traffic never reached. Platform engineers building CI, mirror or agent systems on top of GitHub will want to study the per-reference quorum mechanism for consistency trade-offs. Azure-based replicas may also affect latency for tools integrating with GitHub APIs from Asian data centres.

官方一手GitHub Blog@Eleanor WhiteSource

Agent frameworks are starting to absorb 3D content creation as a native skill, not just text or image tasks. Developers building games in Godot or prototyping printable models can now delegate asset generation to an agent without leaving their chat workflow. Compared with calling Meshy's web app directly, the plugin adds inline rendering, animation previews and persistent prompt history.

官方账号Nous Research@NousResearchSource

Foundation models are moving beyond text into tabular time-series, and Salesforce embedding one directly into its analytics stack signals that zero-shot forecasting is becoming a default enterprise feature rather than a data-science project. Analysts and BI teams on Tableau or Data 360 can trial it without any modelling work, and competitors like Google BigQuery and AWS Forecast now face a ready-built rival. Plans to put Moirai inside root-cause-analysis agents point to where forecasting products are heading next.

官方账号Salesforce AI Research@SFResearchSource