Older stories and guides from the Convly archive.
General Compute has closed a landmark US$400 million deal that uses inference chips as loan collateral in place of Nvidia GPUs, according to Tech Times. We unpack what it signals for AI hardware financing.
Jensen Huang says Nvidia will be the first customer for HBM4, and one AI memory stock has reportedly secured about 70% of those orders, according to Yahoo Finance and The Motley Fool.
Forbes has published a comparison asking whether users should try Kimi K3, China’s latest AI model, against ChatGPT and Claude. Here is what the reports say, what remains unconfirmed, and how to evaluate the model on your own workloads.
CNN reports that Meta is in talks to rent part of its billions in AI infrastructure to Anthropic. Here is what the reported negotiations could mean for the AI compute market.
Kimi K3 vs Claude Opus 4.8 compared: an open 2.8T model that outscores Opus at 40% lower cost. Specs, pricing, VRAM and a clear verdict.
A 2.8T-parameter open MoE scoring 57 on the AA Intelligence Index – above Claude Opus 4.8. The specs, the benchmarks, the new $3/$15 pricing, and whether you can run it.
Crypto Briefing reports that Microsoft is training its sales teams to compete directly against OpenAI, Anthropic and Google with its own AI models — a notable shift for a company long identified with its OpenAI partnership.
Claude Sonnet 5 launched at $2/$10 per million tokens — but only until August 31. After that, the same workload costs 50% more. Here is the pricing math, the benchmarks, and how to decide before the window closes.
China’s new rules on human-like AI took effect on July 15 — and ByteDance’s Doubao and Alibaba’s Qwen shut down their companion agent features overnight. Here is what the regulation actually bans, who is spared, and why Western labs face nothing like it.
Canada’s financial regulator has reportedly warned banks that Anthropic’s Claude Mythos AI model poses a cyber threat, according to Crypto Briefing and Retail Banker International.
The FBI is reportedly weighing an in-house AI LLM supercomputer built on either Nvidia B300 GPUs or Google TPUs, according to Data Center Dynamics — a rare federal signal on accelerator choice.
Cursor is reportedly building an in-house AI agent called Sand to compete directly with Anthropic’s Claude Cowork, signalling a shift toward vertically integrated coding tools.
