Yang

[Yang @halcyonwisp]

#Qwen #Qoder #ChatGPT #Codex

[OpenAI @OpenAI]

From question to model.

The public equity investing plugin for Codex.

[Google Antigravity @antigravity]

Keep your Antigravity workflow unified. Sync conversations in Antigravity 2.0 with Antigravity CLI by simply confirming the import.

[Yang @halcyonwisp]

@TianbaoX Let's see agents working in the Qwen Studio too.

[Yang @halcyonwisp]

@ChujieZheng Let's see agents working in the Qwen Studio too.

[Yang @halcyonwisp]

@cherry_cc12 Let's see agents working in the Qwen Studio too.

[Yang @halcyonwisp]

@Alibaba_Qwen Let's see agents working in the Qwen Studio too.

[Yang @halcyonwisp]

@Alibaba_Qwen Let's see agents working in the Qwen Studio too.

[Z.ai @Zai_org]

https://t.co/jaOMnP7Yud

[Qwen @Alibaba_Qwen]

✅Implicit caching is now live on Qwen3.7-Max — kicks in automatically, no setup needed.
⚡️Faster + cheaper out of the box.

Need higher, more deterministic hit rates? Try explicit caching instead. 🙌
🔗Best practices 🔗 ：https://t.co/3hSs6zquBH

[OpenAI @OpenAI]

From question to model.

The public equity investing plugin for Codex.

[Qoder @qoder_ai_ide]

Qwen3.7-Plus is live on Qoder. Day 0.

Full-modality coding agent — reads screens, reasons across files, and executes in one loop.

0.1x credits!

[DeepLearning.AI @DeepLearningAI]

A vague prompt gives vague advice. Context changes the quality of the answer.

The more clearly you explain your situation, constraints, priorities, and goals, the more useful AI becomes for complex decisions.

Learn practical prompting techniques in AI Prompting for Everyone with Andrew Ng: https://t.co/YUemMNg1d9

[Elsevier | ScienceDirect @Sciencedirect]

Who helps researchers avoid repeating experiments and find new paths? Librarians do. They guide through complex research, saving time & sparking innovation. Got a librarian story? Share it! https://t.co/jo24SVGRvZ

#LibrarianImpact

[Alibaba Cloud @alibaba_cloud]

Ontology bridges the LLM "Semantic Gap" in AIOps! 🧠
Pain Points:
• LLMs lack private topology context 🏗️
• Correlation ≠ Causality 🔗
• Unexplainable black-box decisions ❓
✅ UModel Solution:
• Object-oriented IT modeling 🧩
• Unified query for multi-source data 📊
• Deterministic, auditable root-cause analysis
Build trustworthy Agents with explicit knowledge graphs.
🚀 https://t.co/4ywgBaSnwU

#AIOps #LLM #Ontology #DevOps #CloudNative

[Google DeepMind @GoogleDeepMind]

Over the past year, we’ve collaborated with global scientific experts to evaluate the system on complex problems.

It assisted by: identifying new targets for liver fibrosis, uncovering fresh approaches to tackling Amyotrophic lateral sclerosis (ALS), and digested decades of literature to propose novel genetic leads for reversing aging.

[Google DeepMind @GoogleDeepMind]

Co-Scientist can produce thousands of hypotheses.

To find the most useful, it relies on a “tournament of ideas” and holds scientific debates to refine and rank these. It can also verify claims against scientific literature and data, and use web search and specialized models to bring in new knowledge.

[Yang @halcyonwisp]

@DunjieLu1219 Well said, a timer is needed for the thinking process when tackling the toughest tasks.

[Yang @halcyonwisp]

@TianbaoX @shuai_bai_ @taoooo917 Outstanding, setting a timer for the thinking process is essential when tackling the toughest problems.

[Yang @halcyonwisp]

@ChujieZheng It could be better to set a timer for the thinking process when tackling the toughest problem-solving tasks.

[Yang @halcyonwisp]

@Alibaba_Qwen It could be better to set a timer for the thinking process when tackling the toughest problem-solving tasks.