Open Source AI

Summary: Qwen3.8-Flash-Next in 30 Seconds Qwen3.8-Flash-Next is Alibaba’s new AI model, out in August 2026. It reads text and images and writes text back, tuned for writing code and running multi-step work on your behalf. Anyone can download the model files, live since 24 August. The license is not fully permissive though, so read it before shipping it in a product. The real story: Alibaba shipped this as a dry run for the next big release, Qwen4. The identifier inside the model files literally says qwen4_exp, as in “Qwen4 experimental”. It is 125B parameters in size, but only 6B of them run for any given word. Big-model knowledge, small-model bill. It reads about 750,000 words in one go (1M tokens), and at that length it is 8x faster than its much larger sibling. Training it cost roughly 1/9 of the 397B Qwen3.7-Plus, and it still beats that model on coding and office work. It is cheap to run: $0.16 in / $0.47 out per million tokens. The flagship in the same family costs 12x that. When Alibaba shipped Qwen3-Next, the pitch was: this is not a finished product, it is next generation’s architecture released early so the community can poke at it. That architecture then carried the whole Qwen3.5 through Qwen3.8 line. ...

Summary: Qwen3.8-Max in 30 Seconds Qwen3.8-Max is Alibaba’s new flagship model, made generally available on August 2, 2026. 2.4 trillion parameters, 95 billion active (MoE architecture). It reads text, images and video, and returns text. Context window is in the 1 million token class. On one task it ran 125 hours (about 5 days) with no human input, rebuilding an experiment from a machine learning paper from scratch, confirming its six findings, then inventing a method that beats the paper. It beats Claude Opus 4.8 on most coding and agent tests, trades blows with Claude Fable 5 and GPT-5.6 Sol, and falls behind on some. API pricing is $2 input / $6 output per million tokens. Repeated input costs $0.25. This is the first time Alibaba has open-weighted a Max-class model. The weights landed on Hugging Face on August 12, 2026, though under Alibaba’s own Qwen3.8-Max license rather than Apache 2.0. Two days later, on August 14, Qwen3.8-27B followed: a dense 27B model under Apache 2.0 that fits on a single GPU. Ask an AI to “rebuild the experiment in this paper, then improve on it” and it normally stalls after a few turns, waiting for you to step in and steer. ...

TL;DR: Kimi K3 in 30 Seconds Kimi K3 is the new AI model Chinese company Moonshot AI announced on July 16, 2026; at 2.8 trillion parameters, it is the largest open source model released so far. In a single 48-hour run it designed a working chip, finished an astrophysics study in 2 hours instead of 2 weeks, and cut a teaser video from 56 raw clips. It reads 1 million tokens at once: roughly like reading the entire Lord of the Rings trilogy in one sitting and remembering all of it. On coding it plays in the same league as the strongest Claude and ChatGPT models, and beats them on some tests. It falls behind on hard knowledge questions. You can try it in the Kimi app and on kimi.com. The model files go public on July 27, 2026. Ask an AI to design a chip for you and what happens? It probably writes you a nice article about how chips are designed. ...

Hello everyone! 😁 Today we’re diving into a very exciting topic. Google DeepMind just dropped a massive bomb in the open source AI world: Gemma 4 models are officially released! 🚀 You know how people keep saying “open source models are nice but they can’t even compete with closed source ones”… With Gemma 4, you might want to rethink that claim. This model family delivers the most impressive intelligence-per-parameter we’ve ever seen. ...

Taking a closer look at the Qwen3.5 model, which is reshuffling the deck in the artificial intelligence world. Focusing heavily on increasing the capacities of foundation models in recent months, Alibaba Cloud officially released Qwen3.5 on February 16, 2026. They have genuinely showcased an ambitious stride in the race of large language models. Garnering attention especially with its native multimodal agent capabilities and efficiency-focused architecture, this version goes head-to-head with tech giants like GPT-5.2 and Claude 4.5 Opus. So, what exactly does Qwen3.5 promise, when did it come out, and why is it so vital for developers? Let’s dive into the details together. 👇🏻 ...