not much happened today
**GLM-5.2** emerges as a leading open-weight coding model rivaling **Opus 4.8** and **GPT-5.5** in software engineering tasks, emphasizing the strategic importance of open models for provider…
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**GLM-5.2** emerges as a leading open-weight coding model rivaling **Opus 4.8** and **GPT-5.5** in software engineering tasks, emphasizing the strategic importance of open models for provider…
Launching credit usage analytics and updated spend controls for enterprises, available in our global admin console:angel: nothing gets admins more excited than enterprise spend controls and…
Really looking forward to one of the super-fast custom silicon inference providers like @GroqInc or @cerebras getting GLM 5.2 runningCerebras has GLM-4.7, Groq is still mostly…
RT The VergeBarret Zoph is out at OpenAI again after just five months https://www.theverge.com/ai-artificial-intelligence/952837/barret-zoph-openai-thinking-machines-lab
RT Aaron LevieThe fact that open weights models are being discussed credibly at this level of capability should be a huge update for many. The implications…
RT Didier LopesIncredible how Z. ai literally has their RL infrastructure open source.The entire OPD post-training of GLM-5.2 took on this slime platform took ~2 days.https://github.com/THUDM/slime
RT Cunxiang WangGLM-5.2 is not only stronger on benchmarks, but also much better in real app development scenarios — iOS, Android, WeChat Mini Programs, and more.Behind…
Long-horizon is more than a concept. It should live in real-world scenarios, empowering AI builders to solve the problems that matter. And more scenarios are on…
RT Zixuan LiGLM-5.2 delivers a substantial leap in app development capabilities, which also represent demanding long-horizon tasks.Results:- GLM-5.1: 21/70- GLM-5.2: 48/70- Claude Fable 5: 56/70That's more…
RT Mat VellosoAll day using GLM 5.2. Didn't miss much. First open model that passes the bar as a daily driver. Things are not going to…
RT Alexander BergerCome work with me! I’m hiring a Senior Operations Associate in the office of the CEO at @coeff_giving (reporting to my awesome chief of…
Re BTW I've been using using @FireworksAI_HQ for inference. Other providers might not be as fast.
Today we launched a new plugin for Datasette, datasette-apps, with this launch announcement post on the Datasette project blog. That post has the what, but I'm…
We will deprecate Opus 4.6 (fast) across all GitHub Copilot experiences (including Copilot Chat, inline edits, ask and agent modes, and code completions), on June 29th,…
RT Jeremy HowardWow.@Zai_org GLM 5.2 is a marvel! It is *at least* as good as Opus 4.8 and GPT 5.5. It's super fast, inexpensive, and not…
Re The one big gap is that it is blind - it can't handle images at all.If they fix that, then perhaps this could become the…
Wow.@Zai_org GLM 5.2 is a marvel! It is *at least* as good as Opus 4.8 and GPT 5.5. It's super fast, inexpensive, and not too verbose.It…
GLM 5.2 marvel: Jeremy Howard endorsement; Datasette Apps; GitHub Copilot deprecates Opus 4.6 fast; Ollama doubles GPU capacity; AA-Briefcase benchmark.
Amazon SageMaker AI provides fully managed real-time inference hosting for machine learning models. You deploy a model to a SageMaker endpoint backed by one or more…
RT Artificial AnalysisAnnouncing AA-Briefcase, the benchmark for the next era of agentic knowledge workAA-Briefcase is our new benchmark for testing models on long-horizon knowledge work tasks…
RT Artificial AnalysisAnnouncing AA-Briefcase, the benchmark for the next era of agentic knowledge workAA-Briefcase is our new benchmark for testing models on long-horizon knowledge work tasks…
GLM 5.2 on Ollama's cloud just doubled GPU capacity to handle the volume of usage! This is all US based, and running on NVIDIA B300 Blackwell…
RT SocialSightMeet Kling 3.0 Turbo, now live on SocialSight! We’re breaking the trade-off between speed and quality. Built specifically for production at scale, Kling 3.0 Turbo…
the reasoning paradigm unlocking medical progress for humanityNoam Brown: When we announced @OpenAI o1 some researchers from other labs told me we made a strategic mistake…