Six months of AI in 2026, and a whole lot of noise. This week, two major players also hit the brakes and changed their tune.

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Looking back at the AI news from January to June 2026, the feeling I'm left with is pretty clear: things went off in every direction. Plenty of innovation, but not always a lot of control.

Almost every week, a new model shows up promising to "change everything." GPT this, Claude that, some Chinese model beating everyone on a benchmark nobody had heard of the week before, video generation at levels we'd never seen.

And then, this week, something we all saw coming but nobody really wanted to hear finally happened: two of the players setting the pace in this AI race start talking about slowing down, even hitting pause.

It's worth stopping for a second to look at what actually happened.

What actually happened between January and June 2026

Setting aside all the noise, here are some of the events that actually matter, in order.

Late January: Moonshot releases Kimi K2.5 , an open-weight multimodal model with its "Agent Swarm" that can coordinate up to 100 sub-agents. Meanwhile, GPT-5.2 , released back in December 2025, was still one of the main yardsticks new models got measured against.

February 5: Anthropic releases Claude Opus 4.6 , followed a few days later by Claude Sonnet 4.6 .

Mid-February: Google unveils Gemini 3.1 Pro , doubling down on its push for models that are stronger at reasoning, coding, and long tasks.

Late February: Perplexity, needing to make a move, launches Computer , an agentic system that splits tasks across several specialized models and hooks into outside apps.

February 27: according to Reuters, Donald Trump orders a gradual phase-out of Anthropic's technology across U.S. federal agencies, after a dispute over certain military uses.

The Pentagon goes so far as to label Anthropic a "supply chain risk." Panic sets in, but Anthropic holds its ground, which earns it a lot of admiration. And since, in the land of business, someone always steps into an opening, OpenAI announces a Pentagon deal right on its heels.

March 5: OpenAI launches GPT-5.4 , with native computer control, a context window of up to 1 million tokens via the API (the standard window being 272,000 tokens), plus Codex's capabilities rolled into a single model. The real news isn't just the size of the context window. The model can drive a browser and a desktop environment on its own.

This is the shift from "the chatbot that answers" to "the agent that actually does things." OpenAI also reports 33% fewer hallucinations than GPT-5.2.

April 2: Google unveils Gemma 4 , its new family of open models under the Apache 2.0 license, built for advanced reasoning, agents, and running on your own hardware. A genuinely interesting family.

April 16: Anthropic releases Claude Opus 4.7 , with a new tokenizer that can produce up to 35% more tokens for the same text (anywhere from 1.0 to 1.35 times more, depending on the content).

April 20: Moonshot releases Kimi K2.6 , with a 256,000-token context window and an expanded Agent Swarm that can coordinate up to 300 sub-agents.

April 23 and 24: OpenAI introduces GPT-5.5 and, almost at the same time, DeepSeek fires back with DeepSeek V4 : a Pro version with 1.6 trillion parameters, an open-source Flash version, and a 1-million-token context window.

May 19: at Google I/O, Google unveils Gemini 3.5 Flash , Gemini Spark , Gemini Omni , and Antigravity 2.0 .

The direction is crystal clear: fewer chatbots, more agents. You can see it in the new Antigravity interface, which gives a good sense of Google's vision and where the company wants to take us.

May 28: Anthropic releases Claude Opus 4.8 , an unusually fast update within the Opus line.

It brings Dynamic Workflows , among other things. Anthropic also presents the model as smarter and more honest than 4.7, especially when it's working on code. The Effort Control and Fast Mode options show up too.

June 1: MiniMax launches MiniMax M3 , an open-weight, multimodal model with a context window of up to 1 million tokens and a heavy focus on coding, agents, and long tasks.

An interesting one, mainly because it's trying to position itself as a cheaper alternative to Claude and GPT.

June 1: GitHub Copilot also changes its billing model. The service drops premium requests in favor of charging for advanced usage through GitHub AI Credits , calculated based on the number of tokens consumed and the model used. The basic features stay included, and each plan comes with a monthly allotment of credits. But the most powerful models and the agents can burn through them fast.

And that's where part of the community started freaking out over the prices: some users blew through their credits in a few hours or days, with estimates running into the hundreds of dollars to keep up the same pace of use.

Coming up soon: on August 2, 2026, most of the European AI Act takes effect, though with some exceptions and adjusted...