The pro models (GPT-5 Pro, Gemini 2.5 Deep Think, Grok 4 Heavy) can be impressive in ways that are hard to see. They take a lot of time to answer questions & are built for very hard problems that require expert evaluation. That is a narrow, but, also very valuable, problem space.
LLMS
-

DeepSeek r2 Delay: Ascend Chips Underperform Against Nvidia H20
By
–
The reasons why DeepSeek r2 has been delayed: Despite a team of Huawei engineers working on site, it was not possible to carry out a functioning training process with Ascend chips. Nvidia H20 chips are still significantly superior to Chinese alternatives in terms of
-

OpenAI’s Interface and Model Selector Changes
By
–
Open AI voulait simplifier l’interface et le sélecteur de modèle. Voici ce que nous avons eu à la place
-

Liquid AI Launches LFM2-VL Vision Language Models
By
–
Liquid AI introduced LFM2-VL, open-weight vision language models designed for devices like laptops and smartphones The models process text and images with up to 2× faster inference on GPU vs existing VLMs
-

Anthropic Acquires Humanloop Team to Strengthen AI Safety
By
–
Anthropic just acquired the co-founders and most of the team of Humanloop, the startup behind Hooli, a platform for prompt management, LLM evaluation, and observability
— The Rundown AI (@TheRundownAI) 14 août 2025
The move marks a major push from Anthropic to strengthen its AI safety strategypic.twitter.com/Q61Op25kEyAnthropic just acquired the co-founders and most of the team of Humanloop, the startup behind Hooli, a platform for prompt management, LLM evaluation, and observability The move marks a major push from Anthropic to strengthen its AI safety strategy
-
Google Rolls Out Memory Feature in Gemini AI
By
–
AI NEWS: Google is finally rolling out memory in Gemini Plus, more news from xAI, Anthropic, Tencent, Higgsfield AI, and Liquid. Here's everything you need to know:
-
100+ Free AI Agents and RAG Systems Step-by-Step Tutorials
By
–
100+ free step-by-step tutorials with code covering: AI Agents RAG Systems Voice AI Agents MCP AI Agents Multi-agent Teams Autonomous Game Playing Agents P.S: Don't forget to subscribe for FREE to access future tutorials.
-

Google Agent Development Kit crash course guide
By
–
Google Agent Development Kit crash course covering structured output, tool calls, MCP, memory agents and multi-agent patterns. Learn AI Agent concepts with step-by-step code tutorials. 100% Opensource and free.
-
100+ Free Open Source AI Agents and RAG Tutorials
By
–
Stay tuned for more such interesting posts → @Saboo_Shubham_ I have created 100+ AI Agents and RAG tutorials, 100% free and opensource. P.S: Don't forget to star the repo to show your support