Ai feed

The world’s top Ai news.

Live headlines from the labs and outlets shaping Ai — rewritten in the Yai editorial voice for factory operators. Browse by player, country or topic. Refreshes every 15 minutes; every card links back to the original source.

SourcesOpenAIGoogle DeepMindTechCrunch AIArs TechnicaWired AIQbitAI (量子位)36Kr

Major Ai players in today’s news — tap to follow one

🇺🇸OpenAI

USA · San Francisco

Maker of ChatGPT and the GPT model family.

🌐 Site 💲 Fees 𝕏

🇺🇸Anthropic

USA · San Francisco

Safety-focused lab behind the Claude models.

🌐 Site 💲 Fees 𝕏

🇺🇸Google · DeepMind

USA / UK · Mountain View · London

Gemini models, DeepMind research, Vertex AI cloud.

🌐 Site 💲 Fees 𝕏

🇺🇸Meta AI

USA · Menlo Park

Open-weight Llama models and consumer Ai.

🌐 Site 𝕏

🇺🇸xAI

USA · San Francisco

Elon Musk's lab behind the Grok models.

🌐 Site 💲 Fees 𝕏

🇫🇷Mistral AI

France · Paris

Europe's open-model champion.

🌐 Site 💲 Fees 𝕏

🇨🇳Alibaba · Qwen

China · Hangzhou

Qwen open models and Alibaba Cloud Ai.

🌐 Site 𝕏

🇨🇳DeepSeek

China · Hangzhou

Efficient frontier models at disruptive cost.

🌐 Site 💲 Fees 𝕏

Brand

Country

Topic

Some sources unreachable: Google DeepMind, 36Kr

The world’s top Ai news.

Tenstorrent hits $6.2B valuation to scale open-weight AI chips

Meta Llama 4: Native multimodal and long context, still open weights

People are using AI to make their smart TVs dumb again

WhatsApp Help Pages Leaked Hidden Instructions for a Meta Chatbot

OpenAI o1 (reasoning): Chain-of-thought at the model level; trades latency for correctness

Nvidia launches new open models to run agents in the enterprise and on PCs

Laplace Intelligence red-teams robots and self-driving cars before they hit the real world

Disney Asked Character.AI to Go Bankrupt for a Get-Out-of-Lawsuits Card

Mistral Codestral: Code-specialised model for autocomplete and refactor

Anthropic says it’s committing 5% of its shares to a ‘public benefit fund’

VAST开源实时世界模型EdenLive！单消费级显卡、720P超24FPS

OnlyFans Creators Are Pissed That Meta Lets Muse Talk Dirty

Meta Llama 3: 8B and 70B tiers; approaches GPT-4 quality at self-hosted cost

Data Centers Have a New PR Plan: Your Kid’s Field Trip

突发！DeepSeek新模型发布，超级性价比斩杀一切

智谱新模型，懂法方面全球第一了

Mistral Mistral 7B: Open-weights 7B model that punched above its size

清华开源！智能体操作系统任务成本降83%，AI记忆可查可改

Claude半小时解开密码学悬案，学界集体走偏20年

Why AI Isn’t Ready to Tackle Our Convoluted Genomes

Anthropic Claude 2: 100K-token context and stronger coding; the enterprise breakout

“thegentlemanpervert” producing AI CSAM is a NJ prosecutor, say cops

How Itaú is building generative AI for its entire customer base

Benefit Street Partners answers questions faster with Codex

OpenAI GPT-4: First reliably 'smart' GPT — better reasoning, longer context, plus vision

Stack Overflow for Agents triples signups with ChatGPT plugin

Bringing GPT-Rosalind to academic research labs

OpenAI GPT-3.5: Powers the original ChatGPT free tier — fast, cheap, conversational

Anthropic Claude 5 (Fable · Sonnet): New family; Fable optimised for narrative and voice

Anthropic Claude Opus 4.8: Latest Opus tier; further improvements to reliability and tool use

Anthropic Claude Opus 4.7: Sharper reasoning and steering; strong default for hard analytical work

Anthropic Claude 4.5 (Sonnet · Haiku): Sonnet 4.5 refines coding; Haiku 4.5 nears Sonnet 4 quality

xAI Grok 4: Latest tier; positioned as a general-purpose frontier competitor

OpenAI GPT-5: OpenAI's frontier tier; higher reliability plus stronger tool use

Google Gemini 2.5 (Flash · Pro): Thinking modes and improved coding; strong price/performance

Anthropic Claude 4 (Opus 4 · Sonnet 4): Major coding jump, longer autonomous tool use

Alibaba Qwen 3: Frontier tier with strong multilingual coverage.

xAI Grok 3: Trained on the Colossus cluster; competitive on reasoning benchmarks

Anthropic Claude 3.7 Sonnet: Extended thinking mode; toggleable deliberation for hard problems

DeepSeek DeepSeek-R1: Open-weights reasoning model that rattled Silicon Valley.

Google Gemini 2.0: Native agentic tool use and stronger multi-step reasoning

DeepSeek DeepSeek-V3: Frontier-class quality trained at a fraction of Western costs.

Alibaba Qwen 2.5 (+ Coder, Math): Family expansion with specialist coding and math variants.

xAI Grok 2: Bigger jump in reasoning; image generation via Flux

Meta Llama 3.1 (405B): First truly frontier-class open-weights model

Mistral Mistral Large 2 / Nemo: Updated frontier tier plus a compact multilingual model

Alibaba Qwen 2: Substantial quality jump; competitive with Llama 3 tier.

Anthropic Claude 3.5 Sonnet: Beat Claude 3 Opus on coding at Sonnet cost; the workhorse era

Google Gemini 1.5 Flash: Cheap, fast tier of the 1.5 family for high-volume workloads

DeepSeek DeepSeek-V2: MoE architecture with striking cost efficiency

OpenAI GPT-4o: Native multimodal (text, vision, audio) with real-time voice

Anthropic Claude 3 (Haiku · Sonnet · Opus): Three tiers for different needs

Mistral Mistral Large: Closed frontier tier; European sovereignty pitch

Alibaba Qwen 1.5: Multi-tier lineup from 0.5B to 72B, all open weights.

Google Gemini 1.5 Pro: 1M-token context — the long-context breakthrough

Google Gemini 1.0: Google's native multimodal frontier; Ultra, Pro, Nano tiers

Mistral Mixtral 8x7B: Mixture-of-experts open weights; strong quality for the price

Anthropic Claude 2.1: 200K-token context; the first model that ate whole codebases in one shot

xAI Grok 1: Elon Musk's first release; snarky persona, integrated with X

Alibaba Qwen 1: Alibaba's first open-weights Qwen models.

Meta Llama 2: First openly licensed model competitive with GPT-3.5

Anthropic Claude 1: Anthropic's first public model — long context, strong helpfulness training

Google Bard: Google's first ChatGPT response, initially built on LaMDA/PaLM

Meta LLaMA 1: Meta's first Llama — 'leaked' onto the open internet, changed everything

OpenAI GPT-3: 175B parameters; few-shot learning shocks the field

OpenAI GPT-2: 1.5B parameters, coherent long-form text, weights briefly withheld

OpenAI GPT-1: Unsupervised pre-training + fine-tuning for NLP

Can a Machine Think? Turing's Question That Started It All

Dartmouth Workshop: The Moment 'Artificial Intelligence' Was Coined

The Perceptron: Ai's First Learning Machine and Its Early Setback

Expert Systems: Ai's First Commercial Wave Powered by Hand-Written Rules

The Ai Winters: How Funding Crashes Reshaped the Field

The Statistical Turn: When Machine Learning Overtook Symbolic Ai

AlexNet Wins ImageNet: The Dawn of Deep Learning in 2012

Attention Is All You Need: The Transformer Paper That Changed Everything

The GPT Era Begins: Scaling Laws and Unexpected Capabilities

ChatGPT: Ai's iPhone Moment in 2022

Multi-Modal, Agentic, and Open: Ai Gets Loud From 2023

The Frontier Today: Claude 5, GPT-5, Gemini 2.5