Pyrochlore

국민연금은 전주 이전 후 성과가 더 좋아서 지방이전이 경쟁력 약화로 이어진다가 실증된적이 없긴함

I feel Ox Alpha has continual learning and is modifying itself each day coz how else does it keep improving on it's own? i gave it the same prompt i used on the first day and the output is drastically improved, with a more detailed and accurate 3d model of raptor engine

현금부자들은 오늘부터 사라! ㅅㅂ 난 현금이 없다 통장에 월급에서 이것저것 다 빠져나가고 오십 남았다

지금 외궈는 하방세팅을 강화하고 있지 않음. 오히려 8월물 옵션에서 꾸준히 풋옵션 수익을 실현중인데, 내일 만기 위클리 콜에 개인포지션이 몰리고 있어서 계속 아래로 밀고있음. 코스피200선물은 꾸준히 신규매수 미결제가 늘어나는 중이며, 삼성전자 주식선물은 매도미결제를 줄이는 것 같고(하방청산), 하이닉스는 신규매도가 계속 증가.

최근 반도체 가격의 폭등을 강조하다가 반도체 업체의 과거 30년이 어려웠다고 많이 오바질 한 ㅠㅠ 헤도닉 품질보정(품질 향상에 의한 가격 하락)도 고려 안했고 아이폰 출시가 2007년이니까 30년 굴욕은 한참 과장됐네요. 헷갈리는 표현을 해서 죄송합니다.

Google, SpaceX AI, DeepSeek, Moonshot, ZAI, Meta => 동급이라는 겁니다. 구글의 굴욕이자, xAI의 굴욕이며, 메타의 눈물이네요. 문샷(키미), ZAI(지푸)의 부상이고 말입니다. 딥씩이야 말하면 입만 아프죠?

Mythos/Fable 5 에 대한 export control 이 길어질수록, Anthropic 은 우위를 잃어가는 구조.

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