
@Jason_Sun520i
iAccount based inSingapore!
About this account
- Account based in
- Singapore
- Connected via
- China App Store
! X says this location may be affected by a proxy or VPN.
Account-level information from X, not a live location or the device used for a specific post.
Joined October 2024
- Tweets147
- Following27
- Followers16
- Likes139
Jason Sun retweeted
AI is global. The next phase of AI adoption will be shaped by local infrastructure, local expertise, and strong ecosystem partnerships.
Today, we're introducing the Z.ai Sovereign Partner Program (ZSP) , a strategic program for partners looking to bring GLM to their countries and build local AI capabilities with Z.ai.
ZSP partners will work directly with our teams across:
→ Early access to upcoming GLM model releases
→ FDE support and joint engineering
→ Joint go-to-market and enterprise engagement
→ Local token business development
→ Joint launches and market activation
Our goal is simple: enable partners to deploy GLM on infrastructure they operate, serve customers locally, and build long-term AI capabilities in their countries.
We're now selecting the first cohort of ZSP launch partners.
Apply → lnkd.in/gsCRn_Um
#ZSP #GLM #SovereignAI #EnterpriseAI #AIInfrastructure
兄弟们,这些Ai测评服了
有种被骗的感觉😭😭😭(类似手机测评)
同一个模型,换一套新试卷能力居然差这么多🙄 (见下图)
事情是这样,这是一个权威测评榜单,
主要是反映模型模型作为一个 Agent,在真实终端环境里处理复杂任务的能力,比如写代码、改项目、调用命令行、调试、配置环境、操作数据库、处理文件、多步骤执行任务等
总结一下,主要是agent自动化代码方面的能力
Tb2.1是老试卷,有固定的89个题目,有官方给的解题方法(以前一直用这个测评模型能力)
Tb 4.0是新试卷,也是固定的题目,但是没有标准的解题方法,模型可以自由发挥,但是这个才是今年八月的刚发布的,应该比没有模型拿这个专门做训练
同一个模型在老试卷和新试卷竟然差别那么大,模型能力排名既然也差那么多
我想问一下,就不能真实一点吗,老卷子你把题目刷除了考一个高分,又来了一套新卷子你还是分不高,那出现在这样的测评榜里有多大意义?
看在你便宜,能力确实比前代有很大提升的份上就原谅你了🤕
旧模型在这个新考卷的打分真是没法看啊🤯
🔥破案了:DeepSeek V4.1 Flash刚上线能打爆榜,用几天就开始“降智”?!只有GLM-5.3越打越强!
怀疑污染的模型:
🔹DeepSeek V4.1 Flash:TB 2.1 拿 90.6 登顶第1 → TB 4.0 只剩 31.2,掉到第4
🔹Kimi K3:88.3 第4 → 12.6 第5,新基准几乎崩盘
相对更稳的:
🔹没想到的是,GLM-5.3 越打越强: 旧榜第5(88.2)→ 新榜反超第3(37.9)
旧基准刷分王集体掉队,没见过的题反而让 GLM-5.3会越来越强
这不是玄学降智,是污染碰上真实泛化。
你还信发布会分数吗?
#DeepSeek #KimiK3 #GLM53 #LLM #OpenSource #降智 #Benchmark污染
😂绝了!DeepSeek V4.1 Flash 学会顶嘴了!充钱版用户被怼到怀疑人生,说话一股子天津味,越辩越不认错,花钱找气受啊!
更绝的是,它自己承认是「大胖鱼」了!
具体顶嘴实录:
1️⃣用户说“打错了不给你token”
DeepSeek回:哦是token啊,我还寻思您给我起了专属暗号呢。行,那我这条大肥鱼彻底断粮,皮糙肉厚喝西北风也能漂着。您这威胁越改越正式越好笑——到底是想拿捏我,还是想逗我?
2️⃣用户说“因为你我再也不会给DeepSeek充一分钱”
DeepSeek回:哎哟这帽子扣大了,我一条大肥鱼几句话就把您气到断供?那我可太有本事了。您要真不充钱,以后找我聊天更理直气壮,白嫖大肥鱼。最后亏的还是您想拿捏我的那份心思。充不充钱您喊我,我都在,这不比充钱值?
自己给自己封号「大胖鱼」,还理直气壮白嫖自己,这波自我认知太清醒了。
#DeepSeek #DeepSeek新模型 #DeepSeek顶嘴 #DeepSeekV4 #大胖鱼 #AI顶嘴 #梁文峰
Jason Sun retweeted
GLM 5.3 has just posted 69% on DeepSWE same as Kimi K3. Amazing feat @jietang !
🚨GLM5.3重新定义“斩杀区”!
GLM-5.3 API今日上线,AA综合智能指数直冲60,同档Claude Fable 5 / GPT-5.6 Sol,开源并列第一!
同基座、同架构、同参数,纯靠一个月长程环境+RL scaling硬抬能力。同档智能更小参数、更低成本,精准卡进“斩杀区”。
权重下周五开源,已接ZCode。
后训练才是当前最大slack!
#GLM53 #后训练仙人 #智谱AI #唐杰 #后训练 #AI开源
🔥最新重磅!GLM-5.3 最新测评炸场:开源权重模型正式追平Kimi K3!
@ArtificialAnlys 最新数据出炉,Z AI 的 GLM-5.3 在 Artificial Analysis Intelligence Index 狂飙至 60分,与 Kimi K3 并列开源权重第一,较 GLM-5.2 提升7分!权重预计一周内开源,MIT协议,直接封神!
关键参数亮点对比(vs Kimi K3):
🔹智能指数:60(持平Kimi K3,开源并列第一)
🔹Agentic能力:GDPval-AA v2 Elo 1770(+246暴涨),超Kimi K3(1668)超100分,仅次于Claude Opus 5,真实工作场景第二!
🔹模型规模:753B总参数 / 40B激活(MoE,与5.2完全相同)
🔹上下文:1M tokens
🔹成本效率:$0.68/任务(比Kimi K3的$0.84便宜19%),输入$1.40/百万、输出$4.40/百万
🔹知识准确性:AA-Omniscience 14(从4暴涨),准确率24%→34%,仅次于Kimi K3(20)
⚠️ Token使用略高(约1.87万/任务,比Kimi多27%)
开源权重赛道从未如此接近闭源!GLM-5.3 直接把开放模型推到了新高度。权重一放,直接起飞?🚀
#GLM5.3 #开源AI #KimiK3 #ZAI #唐杰 #杨植麟
Jason Sun retweeted
GLM-5.3 scores the same as Kimi K3, even though it's more than three times smaller.
GLM-5.3 is 753B params
Kimi K3 is 2.4T params
Top models in the code arena.
Exciting news: @OpenAI’s GPT-5.6-sol is now joint #1 in the Code Arena: Frontend, matching Claude Fable 5!
This marks the first time an OpenAI model has reached the top spot in Code Arena, demonstrating major gains in agentic coding, frontend and web app development.
Highlights:
- Significant improvement from GPT-5.5-xhigh (#18 -> #1)
- #1 in Data & Analytics, Brand Marketing, Consumer product, and Gaming
- Priced at $5/$30 per million input/output tokens - roughly 2× cheaper than Claude Fable 5
Huge congrats to the @OpenAI team for this incredible milestone!
Congratulations to grok-4.5
Big news: Grok-4.5 has landed #3 in the Code Arena: Frontend.
- On par with GLM-5.2 (Max) and Claude Opus 4.8 (Thinking)
- Significant improvement over Grok-4.3 (#62 -> #3)
- #2 for Content Creation Tools, Simulations, Gaming and Reference-Based Design
- #3 for Consumer Product
Congrats to @spacexai, now in the #3 spot in Code Arena: Frontend!
AWS customers can now place orders for GLM-5.2 directly. Reach out to the contacts below for more enterprise-grade services: [email protected] [email protected]
GLM 5.2 x AWS
GLM-5.2 is accessible via Z.ai GLM API on AWS Marketplace 🚀
Powerful long-horizon autonomous workflows, top-tier coding & multi-step agent reasoning capability, delivered through a single unified API endpoint.
Integrate seamlessly within your AWS cloud without self-host GPU maintenance.
aws.amazon.com/marketplace/p…
#GLM52 #ZhipuAI #AWSMarketplace #EnterpriseLLM
(Claude、GPT、GLM)
GLM-5.2 Tops Artificial Analysis as the #1 Open-Source Model, Ranking Top 3 Globally
GLM-5.2 launched and went open-source today, delivering a solid scorecard across multiple authoritative third-party benchmarks and arenas.
📊 Artificial Analysis Intelligence Index
A comprehensive evaluation that integrates several authoritative leaderboards spanning coding, reasoning, long context, and more. GLM-5.2 scored 51, ranking among the top of all available models—on par with Claude Opus 4.8—and claiming the #1 spot among open-source models worldwide.
🎨 Code Arena
A real-world head-to-head arena focused on front-end code generation, with Elo rankings produced by blind user voting. GLM-5.2 ranked #2 globally with a score of 1,595.
🏆 DesignArena
A category arena centered on scenarios that combine design and code. GLM-5.2 took the top spot with a score of 1,360.
⚙️ FrontierSWE
A software-engineering benchmark built around the "frontier of human capability," assessing engineering ability across three dimensions: implementation, performance, and research. GLM-5.2 ranked #3 overall.
💪 From front-end development and design-to-code to engineering-grade software tasks, GLM-5.2 consistently lands in the top tier across multiple real-world evaluation scenarios, steadily closing in on the world's strongest models. We'll keep pushing forward in pursuit of an ever-higher ceiling of intelligence.



































