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Alibaba’s Amap releases ABot-Recon for long-horizon real-time 3D reconstructionABot-Recon uses a fixed local context window and incremental composition rather than maintaining long-range memory anchors. Amap reports 24.45 frames per second on KITTI-02, lower trajectory error on Oxford Spires, and peak memory use of about 6.71GB.→Alibaba prices HK$80 billion share placement to fund full-stack AIAlibaba said the placement will support its global AI strategy and infrastructure expansion. The transaction gives a major Chinese technology company substantial fresh capital for the compute race.→SGLang and AntLing cut trillion-parameter restart time to 32 secondsAntLingAGI and Alibaba reported 0.63-second weight loading for the Ling-2.6-1T FP8 model, up to 780 times faster than disk loading. The end-to-end engine restart fell to about 32 seconds by avoiding repeated disk reads.→Alibaba expects its second-generation T-Head AI chip to enter production this yearAlibaba CEO Eddie Wu said the second-generation T-Head chip is expected to begin tape-out and production in the second half of this year. TechNode reports that Alibaba expects stronger computing performance and interconnect bandwidth, and believes the chip can support large-model training workloads.→