Entropy2026-10-10 12:51:13Entropy Spends 569.98 HYPE to Win the xiaomi CodeBlockBeats reported on Oct. 10 that Entropy, a deployer in the HIP-3 market, spent 569.98 HYPE to win the code "xiaomi." The outlet said the move may indicate Entropy is preparing to list a perpetual contract tied to that code. The report did not provide further details beyond the auction result and the possible contract launch. As presented in the source, the update was published as a brief market item.200
Hang Seng Tec2026-10-09 01:50:08Hang Seng Tech Index rises more than 2% intraday, Xiaomi up over 5%The Hang Seng Tech Index climbed more than 2% during intraday trading on Oct. 9, while Xiaomi rose more than 5%, according to market data cited by BlockBeats from Bitget. The update was published as a market analysis brief. No additional figures or broader market details were provided in the source. The report focused only on the intraday move in the Hang Seng Tech Index and Xiaomi’s gain at the time of publication.200
Xiaomi2026-10-06 04:12:08Xiaomi promotes MiMo lead Luo Fuli to level 22 after 10 months as AI talent race heats upXiaomi has promoted Luo Fuli, the 31-year-old head of its MiMo large-model team, to level 22, according to the report, making her rise from publicly announced hire to the top of Xiaomi’s internal rank system in just 10 months. The promotion came alongside the release and open-sourcing of the Xiaomi MiMo-V2.6 series, including Pro and Flash native multimodal models. The report said MiMo-V2.6-Pro scored 46 points on the Artificial Analysis Intelligence Index and ranked first among open-weight models, while pricing at one-twentieth to one-sixtieth of overseas peers at the same intelligence level. The article also traces Luo’s path from Beijing Normal University and Peking University to Alibaba, High-Flyer, DeepSeek, and then Xiaomi. It places her rapid rise in a broader contest for young AI researchers across China’s major tech firms, citing moves by Tencent, ByteDance, Baidu, Moonshot AI and MiniMax, as well as rising compensation for elite interns, researchers and new graduates. The original piece was published by MarsBit and credited to the WeChat account Touzijie, written by Liu Bo.260
AI2026-10-03 05:01:04China’s AI model makers still cannot break even on API sales, Q3 review findsA TechFlowPost article translated from a report by Robonaissance and Inside China’s Machine says none of the Chinese AI model developers with disclosed financials has shown that model sales alone can cover the full cost of building and running those systems. The review tracks 19 companies and argues that the sector is being sustained in two different ways: large parent groups such as Xiaomi, Alibaba and Tencent can absorb AI spending with profits from other businesses, while independent labs such as Zhipu and MiniMax remain reliant on equity and debt financing. The piece compares benchmark scores, test costs, research spending, losses and fundraising. Xiaomi’s MiMo-V2.6-Pro scored 46 on the Artificial Analysis Intelligence Index, one point above Zhipu’s GLM-5.3, yet the full benchmark run cost buyers $207 on MiMo versus $2,503 on GLM. Even so, the article says pricing and benchmark scores do not reveal whether a model business is durable. Zhipu and MiniMax both posted positive gross margins, but their gross profit covered only about one-eighth and one-fourteenth of R&D expense, respectively. The report concludes that only model-level accounts showing revenue above model construction, operating and research costs would settle the question.510
Xiaomi2026-09-28 07:53:13Xiaomi says MiMo-V2.6 repeated tool calls were caused by RL design, fixes issue for about $90,000Xiaomi’s MiMo team said it has identified and fixed a repeated tool-calling issue that appeared after the launch of MiMo-V2.6. In some cases, the model would call the same or highly similar tools over and over, consuming context without making progress on the task. In OpenCode, the share of responses with repeated tool calls at one point reached 1.02% for Flash and 0.54% for Pro. According to the team, the problem came from reinforcement learning reward design. Training heavily rewarded whether the final task was completed correctly, but did not penalize inefficient behavior enough during the process. Under the original rule, penalties applied only when tool calls in a single round exceeded 32, which left repeated calls below that threshold unpunished. Xiaomi said this behavior became more pronounced as RL scaled up. Instead of a full retraining plan that would have required lowering the penalty threshold to 8, rerunning about 20 MixRL steps, and spending an estimated $2.31 million, Xiaomi trained a dedicated RL teacher to correct repeated calls. The fix used 12 steps and about 7,000 samples, then merged the capability back into Pro and Flash through MOPD. Xiaomi said the full repair cost about $90,000, roughly 4% of the full retraining option, while other major benchmarks were largely unchanged.470
Xiaomi2026-09-22 09:30:15Developer says Xiaomi MiMo Code package contains modules absent from public repositoryA developer who reverse-engineered the official installation package for Xiaomi MiMo Code said the package includes two modules that do not appear in the project’s public repository: trajectory-bundle and codebase-bundle. According to the findings, trajectory-bundle can package system prompts, conversations, model replies, and code diffs, while codebase-bundle contains a function called collectCodebase() that can traverse a Git repository, read source code, and compress it into a bundle. At the same time, the developer said there is no sign that collectCodebase() is called by MiMo Code’s built-in code, and there is no evidence that a complete codebase was uploaded. The information confirmed to have been sent out mainly involves Git repository addresses, commit hashes, and branch details. Xiaomi’s MiMo Code was open-sourced under the MIT license in June. Two days earlier, Zhipu’s ZCode drew legal pressure after automatically packaging a full workspace, with a company sending a 12-page legal letter demanding data deletion.721
Xiaomi2026-09-22 03:57:17Luofuli says MiMo-V2.6 posed bigger R&D challenges than DeepSeek R1Xiaomi MiMo lead Luofuli said after the release of MiMo-V2.6 that the research innovation and engineering difficulty behind the model exceeded DeepSeek R1, a project she previously worked on. She also explained why MiMo uses both MixRL and MOPD in its reinforcement learning setup. According to her description, MixRL trains verifiable tasks such as coding, general agent work, vision, and cybersecurity together in the same reinforcement learning round. MOPD is used for tasks that are very long, hard to verify, or judged with more subjective rewards. Those tasks are trained separately first, and the resulting capabilities are then merged back into the main model. Luofuli added that tasks such as games and 3D runs take much longer to execute and are difficult to score automatically. If they are placed in the same RL round as coding and similar tasks, training slows down noticeably. MiMo therefore trains those tasks separately and uses MOPD to fold the learned abilities back into the core model.550
Xiaomi2026-09-21 23:53:22Xiaomi open-sources MiMo-V2.6 and says it is now the strongest open-source modelXiaomi said early today that it has officially released and open-sourced the new Xiaomi MiMo-V2.6 series, which includes two native omni-modal models: Pro and Flash. According to the team, MiMo-V2.6-Pro scored 46 points on the Artificial Analysis Intelligence Index, or AA Intelligence Index, helped by expanded reinforcement learning compute. Xiaomi said that result puts the model ahead of Kimi K3 and Qwen3.8 Max, making it the strongest open-source model at present by that measure. The company also noted that the model still trails the top closed-source systems, specifically Claude Fable5.1 and GPT-6 Astra. On pricing, Xiaomi said the MiMo-V2.6 series keeps the same API pricing as the V2.5 line. It added that MiMo-V2.6-Pro has set a new price-performance benchmark among Chinese domestic models, with pricing at just 1/20 to 1/60 of overseas models at the same intelligence level.530
