More and more, I find that getting the best out of AI comes down to learning to trust it the right amount, given the task and your capability to utilise it. These things are also highly dynamic and need constant reevaluation.
I wonder whether the success people have with AI coding is largely down to the language and/or framework they choose to use. E.g. using an opinionated framework vs rolling your own. Well known, opinionated frameworks maybe give agents the path to creating more predictable output.
@ollama > If you’re on an existing Pro, Max, or Team plan, your plan continues to work as-is. You can upgrade to the new pricing anytime in your Ollama account settings.
Does switching to the new pricing plan change the rate at which my usage will be consumed, or just how it's reported?
GLM 5.3 and GLM 5.3 Flash (previously Ox Alpha) are fully rolled out on Ollama's cloud.
Private.
Fast.
US and Europe hosted.
Zero data retention.
GLM 5.3:
ollama launch claude --model glm-5.3:cloud
GLM 5.3 Flash:
ollama launch opencode --model glm-5.3-flash:cloud
Works with many more harnesses, or create an API key and plug it straight into your own app.
Which harness should we add next?
Ox Alpha (stealth model) is free for the next week
- 1M Context
- Multi-modal
- Zero Data Retention
Generous rate limits, near unlimited usage
We have capacity for 100T tokens per day, lets see what you can do
The trouble with having Zane Hengsperger visit your house is that instead of the usual random house gift, he brings you a 10 pound block of solid aluminum.
@MatthewBerman It’s a shame there isn’t an easy way to pool together and get some sort of peer to peer approach where we all offer a fragment of our personal compute in exchange access to the wider network.
There’s a great video which explains how to add a watermark to AI generated output https://t.co/rgR18MDPBq This uses the technique from the paper “A Watermark for Large Language Models” https://t.co/bKhpkQPz7W I imagine Anthropic is using this or a similar method to watermark.