Until now, the story revolved around a single word: jailbreak. A narrow, contested gap that the company swore was small. That framing ended this weekend. What surfaced is of another order of magnitude

With every update to this case, it changes size. It started as a narrow technical dispute, became a confrontation between Silicon Valley and the US government, and now it has gained an unexpected geographic

After the initial shock, the case has moved past the panic phase and into the negotiating-table phase — and, by Washington standards, it's moving fast. Except that, with each passing day, it's also getting

After the initial shock, the case has moved past the panic phase and into the negotiating-table phase — and, by Washington standards, it's moving fast. The main shift was in tone. Instead of turning the

Some weeks the tech industry moves at its usual pace. And some weeks an AI model is born on Tuesday and shut down on Friday. Anthropic's was the second kind. On June 9, the company launched two models

Artificial intelligence has stopped being science fiction to become critical infrastructure. We are no longer discussing whether AI will transform business — it already is transforming it. The question

In 2025, the big news was extended reasoning — models that think before answering, exploring multiple paths before reaching a conclusion. In 2026, the news is subtler and more practical: control over how

The artificial intelligence market is expected to surpass US$ 300 billion in 2026. It is a striking number — but what it represents in practice is more interesting than the figure itself: AI stopped being

When Z.ai's GLM-5.1 took first place on SWE-Bench Pro in April 2026 with 744 billion total parameters but only 40 billion active per inference, many people looked at the number and did not understand what

There is a fundamental difference between a model that answers questions and a model that executes tasks. That difference has a name: agentic AI. And in 2026, it moved off paper. What changed During the

"Multimodal" has become a marketing term. Almost every model released in 2026 describes itself as multimodal. But there is a fundamental technical difference between a model that accepts images

There is a dominant narrative in LLMs: bigger is better. The headlines are about trillion-parameter models, 10-million-token context windows, frontier benchmarks. But in 2026, a quiet shift is happening

Alibaba's strategy with the Qwen series is different from that of the other manufacturers. While Meta releases three models, DeepSeek releases two, and Mistral releases one, in 2026 Alibaba simultaneously

For years, the narrative was the same: open source models lag 6 to 12 months behind proprietary ones. They were good for prototyping, adequate for simple use cases, necessary for those with privacy constraints

In March 2026, GPT-5.4 and Claude Opus 4.6 defined the state of the art. In April, both companies released updates that were not fine-tuning increments — they were revisions of architecture and objective

Meta has released relevant open models before — Llama 2 and Llama 3 had real impact on the community. But Llama 4, released in April 2026, represents a shift in scale and architecture that goes beyond

For a long time, the divide was clear: proprietary models like GPT and Claude delivered the best performance, while open source ones stayed a step or two behind. In April 2026, DeepSeek V4 made that line

闲来无聊时，忽然想写一首打油诗，想跟老婆开个玩笑，于是便有了如下开头： 是谁把我变成黄脸婆？ 是谁把我的青春偷走？ 是谁让我熬夜又操心， 一边带娃一边还要做饭刷锅？ 写完觉得貌似还挺押韵，读起来也挺搞笑的。 但总觉得这“诗”的内容太短，不够过瘾。 想到可以让 AI 帮我继续完成“创作”，便告诉 GPT： 写一首打油诗《是谁把我……》 是谁把我变成黄脸婆？ 是谁把我的青春偷走？ …… 结果，GPT 很快回答：

Med-Gemini-Polygenic, a Google DeepMind model, predicted the risk of depression, stroke, glaucoma, rheumatoid arthritis, all-cause mortality, coronary artery disease, COPD and type 2 diabetes from genomic

Proteins are instructions. DNA is the source code. The hypothesis that has guided computational biology for decades is that, if language models can learn the grammar of human text, perhaps they can also