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173 posts

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@Segfou

前沿/AI应用/持续创业/噪音围绕/慢动作回放

Entrou em Haziran 2026
69 Seguindo0 Seguidores
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Perfect Guidance 🧭
Perfect Guidance 🧭@PerfectGuide_·
Never surround yourself with low-vibe people.
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See if
See if@Segfou·
@gmoneyNFT @DAXIAGUA1 你的担心完全合理,虽然还没试过,但在长上文情况下,无缓存预处理的时间可能在几十分钟!这可能是需要考虑的问题
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gmoney.eth
gmoney.eth@gmoneyNFT·
@DAXIAGUA1 Well I also don’t want a terrible experience if I buy it. I can wait
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gmoney.eth
gmoney.eth@gmoneyNFT·
is anyone running glm 5.2 locally on a mac studio? how is it? seriously considering a mac studio for the first time now.
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mery 秀艺
mery 秀艺@merystudies·
did lots of mandarin and french studying today, im happy
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jietang
jietang@jietang·
We're introducing GLM-5.2, our latest flagship model for long-horizon tasks. It marks a substantial leap in long-horizon task capability over its predecessor GLM-5.1 and, for the first time, delivers that capability on a solid 1M-token context. GLM-5.2's new capabilities include: Solid 1M Context: A solid 1M-token context that stably sustains long-horizon work Advanced Coding with Flexible Effort: Stronger coding capabilities with multiple thinking effort levels to balance performance and latency Improved Architecture: We propose IndexShare, which reuses the same indexer across every four sparse attention layers, reducing per-token FLOPs by 2.9× at a 1M context length. We also improve GLM-5.2’s MTP layer for speculative decoding, increasing the acceptance length by up to 20% Pure Open: An MIT open-source license — no regional limits, technical access without borders Supporting long-horizon tasks starts with making long context engineering-usable: the model must maintain quality across long, messy coding-agent trajectories, not just accept more tokens. A 1M context is easy to claim, but much harder to keep reliable under real engineering pressure. To this end, we substantially expanded 1M-context training for coding-agent scenarios, covering large-scale implementation, automated research, performance optimization, and complex debugging. The result is a long-context system that is not only wide in scope, but solid in execution: a practical substrate for sustained engineering work. This capability is reflected in GLM-5.2's performance on three long-horizon coding benchmarks. FrontierSWE measures whether an agent can complete open-ended technical projects at the scale of hours to tens of hours, spanning systems optimization, large-scale code construction, and applied ML research. On this benchmark, GLM-5.2 trails Opus 4.8 by only 1%, while edging out GPT-5.5 by 1% and Opus 4.7 by 11%. On PostTrainBench, where each agent is given an H100 GPU and evaluated by how much it can improve small models through post-training, GLM-5.2 outperforms both Opus 4.7 and GPT-5.5, ranking second only to Opus 4.8. On SWE-Marathon, an ultra-long-horizon software engineering benchmark covering tasks such as building compilers, optimizing kernels, and developing production-grade services, GLM-5.2 still has room to grow, trailing Opus 4.8 by 13% while remaining second only to the Opus series. Across all three benchmarks, GLM-5.2 is the highest-ranked open-source model, showing that its 1M context has translated into practical long-horizon delivery capability.
jietang tweet mediajietang tweet media
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yy
yy@youyous2v·
我的日语熟练度堪比日本街头一条通人性的狗
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AI guy
AI guy@AiFreak_·
@loktar00 You know whats crazy and mind twisting? Qwen 3.6 27b WILL BE 2 months old in couple of days. 2 MONTHS. Feels like 2 years to me.
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Loktar 🇺🇸
Loktar 🇺🇸@loktar00·
Alibaba Qwen has been awfully quiet lately. It would be a great time to release Qwen 3.7 37b.
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いたばしクミン。
いたばしクミン。@ITABASHI2929·
今日は51歳の誕生日です。いい歳してお恥ずかしいのですが…フリーターで未だ独身、彼女もいないので、誰にも祝ってもらえません…せめて、Xだけでもお祝いして頂けると嬉しいです。あなたの大切な時間に読んで頂きありがとうございます
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りんiris ‎ᕱ⑅ᕱ ɞ
看了眼机票感觉11月14号飞上海的还好但不确定今年会不会有人办活动……所以还是很纠结orz如果去了但没有人在上海办活动的话岂不是1115只能在叠纸大楼旁边晃荡一天了………
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TheOrigenist
TheOrigenist@OrthodoxOrigen·
Should I study Euclid's Elements? Thinking of ordering a copy.
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ちゃ
ちゃ@ukmlio·
最近は英語よりも中国語に狂わされている
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Omar Sanseviero
Omar Sanseviero@osanseviero·
NASA just deployed Gemma to Space 🛰️ NASA+Loft Orbital ran Gemma 3 in orbit onboard a Loft Orbital's YAM-9 satellite. They use LangGraph for agent orchestration and Gemma 3 to generate short English summaries right from space
Omar Sanseviero tweet media
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Nicole 🍎
Nicole 🍎@CoffeeVani22446·
If I go to China, do I need to use WeChat and other Chinese apps? I heard apps like WhatsApp, Instagram, and Google don’t work there. Should I add some Chinese friends on WeChat first so it’s easier to communicate and stay in touch?
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ViVi
ViVi@zhouyan20009·
浙江 杭州 西湖 West Lake, Hangzhou, Zhejiang 水光潋滟晴方好~西湖的美,一年四季,任何季节~😍😍😍
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ViVi
ViVi@zhouyan20009·
浙江 杭州 西湖 我想陪你看的,何止西湖边的日落。
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Joel David Hamkins
Joel David Hamkins@JDHamkins·
At the restaurant here in Beijing, the waiter tells me through his translator app that the house speciality is "grilled stinky mackerel." Tempting, but I opt instead for the fish dumplings, filled with fish broth and meat, as well as a spicy pork and vegetable soup. Delicious!
Joel David Hamkins tweet mediaJoel David Hamkins tweet media
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Tongyi Lab
Tongyi Lab@Ali_TongyiLab·
🚀 Discover what’s new in Zvec 0.5.0! This release packs a punch with native full-text search for seamless hybrid querying, the new DiskANN on-disk index to slash memory costs at scale, a richer ecosystem with official Go/Rust SDKs and the zero-code Zvec Studio, and broadened hardware horizons with native RISC-V support. Check out the original thread for the full breakdown. 👇
zvec-ai@ZvecAI

🎉 Zvec 0.5.0 Release is Live! This release focuses on retrieval, indexing, ecosystem, and platform & hardware. Give it a try and let us know what you think! ✨ ✨ What's new: • 🔍 Retrieval: Native full-text search works out of the box; a single query fuses full-text search, semantic vectors, and conditional filters, with multi-way result merging handled automatically; the MultiQuery interface is implemented natively in C/C++, so every language SDK can integrate hybrid retrieval with ease • 💾 On-Disk Indexing: New DiskANN on-disk index significantly reduces memory overhead in large-scale scenarios; it complements HNSW/IVF/Flat to cover the full range of retrieval needs, from pure in-memory to on-disk • 🌐 Ecosystem: Brand-new official Go SDK and Rust SDK for smoother multi-language access; plus the new visual tool Zvec Studio for zero-code data browsing and query debugging • 🖥️ Platform & Hardware: Added RISC-V support, further expanding hardware compatibility 📚 Learn more: • 📄 Release Notes: zvec.org/en/blog/2026-0… • 🧭 Roadmap: github.com/alibaba/zvec/i… • 🐛 Report bugs / requests: github.com/alibaba/zvec/i… • 💬 Discuss & share: github.com/alibaba/zvec/d…

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