is the reason zhipu being hammered today related to Ant's ARR being lower in expectation or chinese retail apes moving to unitree IPO aka fresh pasture
Wasn't there rumors to skip GLM5.3 and speed ahead to 5.5 with larger base model?
GLM5.3 feels like a stop gap rushed release to maintain momentum, guessing GLM5.5 release might take a lot longer than expected
DontKnow retweeted
USG "Hey China, can you submit your open models for testing before release?"
China "Oh, go right ahead. It's available online for anyone to test"
USG "...No I mean like submit it to us before releasing it online"
China "Like I said, it's available online. Do you not know how to download open models?
USG "Of course we do, but before publicly making it available for everyone we want you to submit it to us exclusively for safety testing"
China "Oh, oh I see. No."
USG "...If you don't cooperate we may have to restrict access to your models"
China "How?"
USG "By forbidding our enterprises from using them"
China "OK, force them to pay for expensive tokens. I don't care. Nice talking to you"
---
Staff "Sir China won't cooperate"
President "Xi is a tough cookie"
Staff "Sir, if we don't safety test Chinese open models, but safety test the domestic open source, we will be giving China an unfair advantage"
President "Fine, just safety test the closed ones. They're the ones begging for it"
DontKnow retweeted
🚨 GLM-5.5 could arrive in August
Z.ai is reportedly preparing GLM-5.5:
• Reportedly targeting an August release
• Rumoured to contain more than 1 trillion parameters
• Expected to build on GLM-5.2’s 1M-token context window
• Likely to focus heavily on long-running coding agents to match other western companies
No exact day of release have been announced as of yet.
With how well GLM-5.2 performs this model should be incredible.
Are you looking forward to GLM-5.5?
why is zuck trying to sour the ai trade, just stfu and announce more capex expansion and show us the ROI
DontKnow retweeted
We're coming out of stealth.
We've built our first racks after a successful A0 tapeout, $1B+ in customer contracts, and $800m raised.
Early customer tests show us achieving SOTA throughput, latency, and power efficiency on inference workloads.
Our first racks ship this summer.
DontKnow retweeted
Z ai’s GLM-5.2 is the new leading open weights model on the Artificial Analysis Intelligence Index scoring 51 and it sits on the Pareto frontier of Intelligence vs Cost per Task
@Zai_org’s GLM-5.2 is the same size as GLM-5.1 (744B total / 40B active parameters) but scores 11 points higher on the Intelligence Index v4.1, placing ahead of MiniMax-M3 (44) and DeepSeek V4 Pro (max, 44). On the first-party API it is priced in line with GLM-5.1 at $1.4/$4.4/$0.26 per 1M input/output/cache hit tokens
Key results:
➤ GLM-5.2 is the leading open weights model on the Intelligence Index v4.1. At 51, it leads MiniMax-M3 (44), DeepSeek V4 Pro (max, 44) and Kimi K2.6 (43)
➤ Improvements across most evaluations, particularly scientific reasoning: GLM-5.2 gains over GLM-5.1 on most evaluations, led by scientific reasoning on CritPt (+16 points to 21%) and HLE (+12 points to 40%), alongside AA-LCR (+9 points to 71%), tau3 banking (+15 points to 27%) and SciCode (+7 points to 50%). TerminalBench v2.1 also improves (+16 points to 78%) and GPQA Diamond gains 3 points to 89%
➤ Leading open weights model on GDPval-AA v2 and competitive with proprietary models: GLM-5.2 scores 1524 on GDPval-AA v2, ahead of MiniMax-M3 (1418) and DeepSeek V4 Pro (max, 1328). This impressive result places GLM-5.2 in-line with proprietary models including GPT-5.5 (xhigh reasoning). GDPval-AA v2 builds on the original GDPval-AA by baselining Elo to human performance at 1000, introducing a rotating panel of frontier-model judges, and raising the turn limit from 100 to 250 for longer-horizon agent trajectories
➤ GLM-5.2 uses more output tokens per task than other leading open weights models: the model uses 43k output tokens per Intelligence Index task, up from GLM-5.1 (26k) and above MiniMax-M3 (24k), Kimi K2.6 (35k) and DeepSeek V4 Pro (max, 37k)
➤ On the Intelligence vs. Cost per Task Pareto Frontier: GLM-5.2 is on the Pareto frontier of the Intelligence vs Cost per Task chart, with the lowest cost per task among models at its intelligence level. GLM-5.2 costs ~$0.46 per task, compared to GLM-5.1 ($0.25), Kimi K2.6 ($0.31), MiniMax-M3 ($0.18) and DeepSeek V4 Pro (max, $0.05)
Additional Model Details:
➤ License: MIT
➤ Size: 744B total parameters, 40B active parameters, equivalent to GLM-5.1
➤ Context window: 1M tokens, up from 200K on GLM-5.1
➤ Pricing: $1.4/$0.26/$4.4 per 1M input/cache hit/output tokens
➤ Availability: Alongside Z ai's first-party API, GLM-5.2 is available across third-party providers including @DeepInfra, @novita_labs, @nebiusai, @parasailnetwork , @SiliconFlowAI , @gmi_cloud , @Baseten and @FireworksAI_HQ
DontKnow retweeted
JUST IN: Andrej Karpathy, a top AI scientist at Anthropic, is reportedly barred from accessing the company’s most advanced AI model because he is not a U.S. citizen.
