ESM Cambrian: protein language model outperformed Google’s AlphaFold3 and built the largest atlas of the protein world

4 June 2026
esm model

ESM Cambrian: protein language model outperformed Google’s AlphaFold3 and built the largest atlas of the protein world

A team of researchers from Biohub published ESM Cambrian (ESMC) — a language model for protein structure prediction and design that outperformed AlphaFold3 by Google on structure prediction accuracy, designed…

OpenAI Codex Beginner’s Guide: Setup, Workflows, and Pricing

18 May 2026
OpenAI codex guide for beginners

OpenAI Codex Beginner’s Guide: Setup, Workflows, and Pricing

AI coding tools have changed dramatically over the past two years. Early assistants like GitHub Copilot mostly worked as advanced autocomplete systems — useful for speeding up repetitive coding, but…

OpenSeeker-v2: Best-in-Class Deep Research Agent Built by an Academic Team on Just 10,600 Samples

7 May 2026
OpenSeeker-v2

OpenSeeker-v2: Best-in-Class Deep Research Agent Built by an Academic Team on Just 10,600 Samples

Researchers from Shanghai Jiao Tong University have proven that building a best-in-class deep research agent doesn’t require hundreds of billions of pre-training tokens or expensive reinforcement learning. Just 10,600 carefully…

Trinity-Large-Thinking 400B: an open model matching Claude Opus-4.6 on agentic benchmarks at 28x lower price

3 April 2026
Trinity AI models foundation

Trinity-Large-Thinking 400B: an open model matching Claude Opus-4.6 on agentic benchmarks at 28x lower price

Arcee AI has released Trinity-Large-Thinking — an open-weight reasoning model for complex multi-turn agentic tasks. On PinchBench — a comprehensive benchmark for AI agents — it ranks second among all…

GLM-5: Top-1 Open-Weight Model for Code and Text Generation, Competing with Claude and GPT on Agentic Tasks

19 February 2026

GLM-5: Top-1 Open-Weight Model for Code and Text Generation, Competing with Claude and GPT on Agentic Tasks

Zhipu AI and Tsinghua University have published a GLM-5 technical report — currently the top-performing open-weight language model by benchmarks: first place among open-weight models on Artificial Analysis and top-1…

Baichuan-M3: An Open Medical Model That Conducts Consultations Like a Real Doctor and Outperforms GPT-5.2 on Benchmarks

10 February 2026
Baichuan-M3

Baichuan-M3: An Open Medical Model That Conducts Consultations Like a Real Doctor and Outperforms GPT-5.2 on Benchmarks

A research team from the Chinese company Baichuan has introduced Baichuan-M3 — an open medical language model that, instead of the traditional question-and-answer mode, conducts a full clinical dialogue, actively…

Claude Sonnet 4.5 Leads on Comprehensive Backend Benchmark, Outperforming in Both Code and Environment Configuration

22 January 2026
abc-bench-pipeline-workflow

Claude Sonnet 4.5 Leads on Comprehensive Backend Benchmark, Outperforming in Both Code and Environment Configuration

A team of researchers from Fudan University and Shanghai Qiji Zhifeng Co. introduced ABC-Bench — the first benchmark that tests the ability of AI agents to solve full-fledged backend development…

P1: First Open-Source Model to Win Gold at the International Physics Olympiad

30 November 2025

P1: First Open-Source Model to Win Gold at the International Physics Olympiad

P1-235B-A22B from Shanghai AI Laboratory became the first open-source model to win a gold medal at the latest International Physics Olympiad IPhO 2025, scoring 21.2 out of 30 points and…

Which AI Can Play a Villain: Comparing Alignment Algorithms Across 17 ModelsRetry

13 November 2025

Which AI Can Play a Villain: Comparing Alignment Algorithms Across 17 ModelsRetry

Researchers from Tencent Multimodal Department and Sun Yat-Sen University published a study on how large language models handle role-playing. It turns out that AI models perform mediocrely at role-playing: even…

From Millions Spent on “Thank You” to Efficient Inference: Boilerplate Detection in a Single Token

31 October 2025
Detecting Boilerplate Responses LLM

From Millions Spent on “Thank You” to Efficient Inference: Boilerplate Detection in a Single Token

Researchers from JFrog published a study demonstrating a method for early detection of boilerplate responses in large language models after generating just a single token. The method enables computational cost…

Kimi-K2 and Qwen3-235B-Ins – Best AI Models for Stock Trading, Chinese Researchers Found

10 October 2025
stocks trading with AI

Kimi-K2 and Qwen3-235B-Ins – Best AI Models for Stock Trading, Chinese Researchers Found

Researchers from China conducted a large-scale comparison of AI capabilities for stock trading using real market data. AI agents managed a portfolio of 20 Dow Jones Index stocks over 4…

Hybrid Image Tokenizer: Apple’s New Approach to Multimodal Models

22 September 2025
manzano

Hybrid Image Tokenizer: Apple’s New Approach to Multimodal Models

Apple Research Team introduced Manzano — a unified multimodal large language model that combines visual content understanding and generation capabilities through a hybrid image tokenizer and carefully designed training strategy.…

WebWeaver — Open Source Framework for Deep Research Outperforms OpenAI DeepResearch and Gemini Deep Research on Benchmarks

17 September 2025
Tongyi-DeepResearch-30B-A3B results webweaver deepresearch

WebWeaver — Open Source Framework for Deep Research Outperforms OpenAI DeepResearch and Gemini Deep Research on Benchmarks

Researchers from Tongyi Lab (Alibaba Group) introduced WebWeaver — an open dual-agent framework for deep research that simulates the human research process. The framework consists of a planner, which iteratively…

Google Launches Gemini 2.5 Flash Image with Text-Based Editing Capabilities

26 August 2025
gemini flash image 2.5

Google Launches Gemini 2.5 Flash Image with Text-Based Editing Capabilities

Google introduced Gemini 2.5 Flash Image (with internal codename nano-banana) — a model for image generation and editing. The model supports combining multiple images into one, maintains character consistency between…

How To Choose A Generative AI Platform

26 August 2025
How to choose a generative ai platform

How To Choose A Generative AI Platform

Most teams outgrow single-model tools once they need governance, repeatability, and multi-model routing. This guide shows what belongs in a Generative AI platform and how to evaluate options with architecture-level…

NVIDIA Nemotron Nano 2: Reasoning and Code Generation Model Outperforms Qwen3-8B on Benchmarks and Supports 128k Context

20 August 2025

NVIDIA Nemotron Nano 2: Reasoning and Code Generation Model Outperforms Qwen3-8B on Benchmarks and Supports 128k Context

A team of NVIDIA researchers presented Nemotron-Nano-9B-v2 — a hybrid Mamba-Transformer language model that generates responses 6 times faster than Qwen3-8B on reasoning tasks while exceeding it in accuracy. The…

Seed Diffusion: New State-of-the-Art in Speed-Quality Balance for Code Generation Models

6 August 2025
seed diffusion

Seed Diffusion: New State-of-the-Art in Speed-Quality Balance for Code Generation Models

The research team from ByteDance Seed in collaboration with the AIR Institute of Tsinghua University introduced Seed Diffusion Preview — a language model based on discrete diffusion that demonstrates record-breaking…

Gemini 2.5 Pro Achieved Gold Medal Performance at IMO 2025, Solving 5 of 6 Problems

25 July 2025
Gemini 2.5 pro IMO 2025

Gemini 2.5 Pro Achieved Gold Medal Performance at IMO 2025, Solving 5 of 6 Problems

Large language models perform well on mathematical benchmarks like AIME, however International Mathematical Olympiad (IMO) problems require deep understanding, creativity, and formal reasoning. Chinese researchers used Google Gemini 2.5 Pro…

TreeQuest Framework: Adaptive LLM Teams Outperform Individual Models by 30%

8 July 2025
treequest

TreeQuest Framework: Adaptive LLM Teams Outperform Individual Models by 30%

Researchers from Sakana AI have introduced Adaptive Branching Monte Carlo Tree Search (AB-MCTS) — a revolutionary approach to creating “dream teams” from large language models that allows them to dynamically…

MiniCPM4: Open Local Model Achieves Qwen3-8B Performance with 7x Inference Acceleration

15 June 2025
end devices llm

MiniCPM4: Open Local Model Achieves Qwen3-8B Performance with 7x Inference Acceleration

The OpenBMB research team presented MiniCPM4 — a highly efficient language model designed specifically for local devices. MiniCPM4-8B achieves comparable performance to Qwen3-8B (81.13 vs 80.55), while requiring 4.5 times…

Strict On-Policy Training with Optimal Baseline: Microsoft Introduces Simplified Algorithm for RLHF

4 June 2025
On-Policy RL with Optimal Reward Baseline

Strict On-Policy Training with Optimal Baseline: Microsoft Introduces Simplified Algorithm for RLHF

The Microsoft Research team introduced On-Policy RL with Optimal reward baseline (OPO) — a simplified reinforcement learning algorithm for aligning large language models. The new method addresses key problems of…