If you tried using Claude today and got hit with errors, timeouts, or blank responses, it’s not just you. Claude is currently experiencing a major outage. The issue was first flagged on March 2, 2026, and it appears to be affecting users across web, mobile, and API access. This isn’t a small regional hiccup or a single app glitch. It’s broad. According to the official status updates, the first “Investigating” notice went live at 11:49 UTC. A follow-up at 12:06 UTC confirmed the team is still looking into it. No resolution time has been shared yet. For now, users may see failed requests, inconsistent replies, or complete inability to access the service. Developers relying on Claude’s API are also reporting elevated error rates. And yes, this is happening worldwide.

Anthropic just got hit with a designation the US government usually reserves for Chinese tech companies like Huawei. Not for a data breach. Just for refusing to let the military use its AI for mass domestic surveillance and autonomous weapons without human oversight. That's the short version. The longer version is messier, more interesting, and honestly a little hard to believe is happening in 2026. On Friday, President Trump ordered every federal agency to immediately stop using Claude, according to The Guardian. Defence Secretary Pete Hegseth followed up by labelling Anthropic a "supply chain risk to national security", a tag that bars any military contractor from doing business with the company. The same label America uses on Huawei. Applied, for the first time ever, to an American company, India Today reports. Anthropic's response was short and direct. "No amount of intimidation or punishment from the Department of War will change our position on mass domestic surveillance or fully autonomous weapons," the company said in a statement Friday night. So that's where we are.

Nobody expected a 1.15 GB model to score competitively against full precision 8B models. That is not how this usually goes. PrismML released Bonsai 8B last month and the headline number is almost absurd. The whole model, weights and all, fits in 1.15 GB. For context, the standard FP16 version of a comparable 8B model sits at around 16 GB. Bonsai beats or matches several of them on benchmarks while being 14 times smaller. It runs on a phone. There is literally an iPhone build. I want to be clear that these numbers come from PrismML's own evaluations, not independent third party testing. But even with that caveat, this is worth paying attention to.

Two years ago if you wanted a genuinely capable AI model your options were basically ChatGPT, Claude, Gemini or Grok. Open source existed but the gap was real and everyone knew it. That gap is closing faster than most people expected. In some areas it is already gone. Today open source models do not just compete with closed source. Some of them beat closed source on specific benchmarks that actually matter. And the list of categories where that is true keeps getting longer. If you are curious about what open source AI actually looks like at full power or you are building something serious and evaluating your options this list is for you. One thing worth saying upfront, these are not consumer GPU friendly models. You will need serious hardware to run them at full capacity. Quantized versions exist for most of them but expect performance and quality to reflect that. I went through a lot of options to put this list together. These seven are the ones that actually made me stop and pay attention.

Gemma 4 is a family of four models. Two dense models built for phones and laptops, E2B and E4B. One MoE model at 26B A4B for consumer GPUs. One dense 31B for workstations and servers. All four are multimodal. Text and image input across the entire family. The two smaller models, E2B and E4B, also handle audio natively which is unusual at that size. Context window sits at 128K tokens for the small models and 256K for the larger two. Every model in the family supports function calling out of the box, which matters if you are building agents. Every model also has a thinking mode you can toggle, so you get chain of thought reasoning without a separate model.

If you’ve been following AI for even a few months, you’ve probably noticed a pattern. Every week there’s a new paid AI tool promising to do everything faster, better, and cheaper—right up until the subscription page loads. Meanwhile, quietly, in GitHub repos and research blogs, open-source models are improving at a pace most people completely miss.

Most AI tools turn you into a user. You log in, you ask, you wait, and you adapt your workflow around their limits. Clawdbot flips that relationship. It runs locally, stays available all day, and works in the background like a digital employee that already knows your environment.