Browsing: reasoning

Today, Meta Superintelligence Labs released Muse Spark 1.1. Alongside it, Meta opened a public preview of the Meta Model API. That second part is the structural…

Retrieval-Augmented Generation (RAG) has evolved rapidly in recent times. The original RAG paradigm was designed to be straightforward: retrieve the most relevant chunks from a corpus…

Liquid AI has released Antidoom, an open-source method that targets a common failure mode in reasoning models. That failure mode is the doom loop. In a…

import importlib.util, os, shutil as _sh if importlib.util.find_spec(“tunix”) is None: print(“Installing Tunix + JAX ecosystem — this takes ~5-8 min…”) %pip install -q ipywidgets tensorboardX transformers…

OpenAI has begun a limited preview of GPT-5.6, its next-generation model series. The lineup splits into three named tiers: Sol, Terra, and Luna. Sol is the…

import sys, subprocess subprocess.run([sys.executable, “-m”, “pip”, “install”, “-q”, “-U”, “openai”], check=False) import os, re, json, time, getpass from openai import OpenAI PROVIDERS = { “zai”: {“base_url”:…

While recent breakthroughs in AI reasoning have largely been driven by massive scale, pouring in billions of parameters to cross complex cognitive thresholds—VibeThinker-3B is charting a…

NVIDIA Research has released SpatialClaw, a training-free framework for spatial reasoning. It targets a persistent weakness in vision-language models (VLMs). These models still struggle to judge…

NVIDIA AI team have released Cosmos 3. It is a family of omnimodal world models for physical AI. The models combine physical reasoning, world generation, and…

Alibaba’s Qwen team has released Qwen3.7-Plus. The model is now available through Alibaba Cloud’s Bailian platform. Bailian is the console international users access as Model Studio.…