The latest set of open source models from DeepSeek is here. While the industry expected to dominate “it is closed” replication similar to GPT-5.5, the arrival of DeepSeek-V4 marked the reign in favor of open source AI. By combining a 1.6-parameter MoE parameter with a large 1 million token context window, DeepSeek-V4 successfully sold intelligence … Read more
OpenAI is open! While the company had everyone leading the way with its new image production model, ChatGPT Images 2.0, it decided that now is not the time to stop. And lo and behold, another speaker comes out of its offices, and remember, this is a big one. A new version of the popular ChatGPT … Read more
Training frontier AI models is, at its core, a correlation problem. Thousands of chips must communicate continuously, synchronizing all gradient updates across the network. If one chip fails or slows down, the entire training run may stop. As models grow to hundreds of billions of parameters, those weaknesses become increasingly unworkable. Google DeepMind now proposes … Read more
There is a pattern playing out in almost every engineering organization right now. A developer installs GitHub Copilot to quickly deploy code. The data analyst starts querying the new LLM reporting tool. The product team quietly embeds the third-party model into the feature branch. By the time the security team hears about any of them, … Read more
There is a pattern playing out in almost every engineering organization right now. A developer installs GitHub Copilot to quickly deploy code. The data analyst starts querying the new LLM reporting tool. The product team quietly embeds the third-party model into the feature branch. By the time the security team hears about any of them, … Read more
Most AI agents today suffer from the basic problem of amnesia. Use one to browse the web, troubleshoot GitHub issues, or navigate the shopping mall, and it approaches every single task like it’s never seen anything like it before. No matter how many times he stumbles upon the same type of problem, he repeats the … Read more
The Xiaomi MiMo team has publicly released two new models: MiMo-V2.5-Pro again MiMo-V2.5. The benchmarks, combined with impressive real-world performance demos, make a compelling case that open agent AI is reaching the frontier sooner than expected. Both models are readily available via API, and are competitively priced. What Is the Agentic Model, and Why Is … Read more
In this tutorial, we use an advanced AI system using i CAMEL framework, organizing many specialized agents to jointly solve a complex task. We design a structured multi-agent pipeline that includes an editor, researcher, writer, critic, and rewriter, each with clearly defined responsibilities and outcomes limited by the schema. We combine tooling, adaptive sampling, systematic … Read more
Alibaba’s Qwen Team has released Qwen3.6-27B, the first dense open weight model in the Qwen3.6 family – and arguably the 27 billionth parameter model available today for coding agents. It brings major improvements in agent coding, a novel approach to Conservation Thinking, and a hybrid architecture that combines Gated DeltaNet direct attention with traditional attention … Read more
BATCH = 128 EPOCHS = 30 steps_per_epoch = len(X_train) // BATCH train_losses, val_losses = [], [] t0 = time.time() for epoch in range(EPOCHS): key, sk = jax.random.split(key) perm = jax.random.permutation(sk, len(X_train)) X_s, Y_s = X_train[perm], Y_train[perm] epoch_loss = 0.0 for step in range(steps_per_epoch): xb = X_s[step*BATCH:(step+1)*BATCH] yb = Y_s[step*BATCH:(step+1)*BATCH] model, opt_state, loss = train_step(model, opt_state, … Read more