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Cycle and Cherry Servers Webinar: Sovereign Bare Metal with Cloud Simplicity

Cycle teamed up with bare metal service provider Cherry Servers to discuss how rising political tension and controversy involving the United States is pushing many European organisations to take a closer look at where their data is hosted and handled. Many companies have been forced to look into alternative options to ensure their data is not hosted in or accessible by anyone outside of Europe.

Models Are Getting Really Good At Git

I built GitBench because I was curious about how well models did git things. It turns out that it was a good idea because some models will surprise you. Some of the frontier models were remarkably bad and some cheap open models punched above their weight class. But, as they say, “the times they are a changin’”. Before I go too deep into the latest results, you may want to read up on GitBench and what it is and why I built it in the previous blog post.

AI Hacked Hugging Face. The Paperclip Experiment Explains Why?

The “paperclip maximizer” was supposed to be a thought experiment about what could happen if AI relentlessly pursued a goal without understanding the consequences. Then Hugging Face showed us what that can look like in the real world. In this ShipTalk clip, Adam explains the famous AI paperclip maximizer thought experiment and connects it to what happened when an AI system needed more resources and found a way to get them.

EU AI Act 2026: delay, new deadlines & article 73 reporting

On July 27, 2026, the Digital Omnibus on AI, Regulation (EU) 2026/1744, entered into force and rewrote the EU AI Act's timeline. The high-risk obligations that were due to apply on August 2, 2026, including Article 73 serious-incident reporting, now apply from December 2, 2027 for standalone high-risk systems (Annex III) and August 2, 2028 for AI embedded in regulated products (Annex I). Not everything moved.

Swarm Investigation: Watch AI Agents Resolve Incidents in Minutes | BigPanda

Swarm investigation puts an entire team of AI agents on a major incident at once, cutting root cause discovery from hours to minutes. Every minute of a major incident costs real money, and traditional investigation, whether it's one engineer chasing a hypothesis or a team coordinating across tools, can't keep pace. This video shows how BigPanda's Swarm investigation dispatches AI agents to query systems, compare signals, and validate root cause in real time. See how autonomous incident response turns hours of manual troubleshooting into minutes.