Older stories and guides from the Convly archive.
Intellectia AI has published an analysis of Nvidia’s AI dominance and growth potential. The snippet carries no figures, so we read the claim against the VRAM footprints and token prices developers actually pay.
Every frontier video model — Sora 2, Veo 3.1, Kling and Wan — accepts an image as the first frame, and charges the same per second as text-to-video. Here is what each costs and where the free tiers stop.
OpenAI’s deprecations page sets 24 September 2026 as the shutdown date for the Videos API, sora-2 and sora-2-pro. It is the only 2026 entry on that page with no successor named. Here is what the alternatives cost per second.
A Hugging Face paper page is at huggingface.co/papers/<arXiv-ID>. Swap arxiv.org/abs/ for huggingface.co/papers/ in any arXiv URL to jump straight to
Anthropic has published a hardware standard intended to let AI agents operate physical machines, with early reporting pointing at scientific laboratories as the first serious use case. Here is what the announcement changes for agent developers.
TL;DR:Local LLM models run on your hardware without API calls. Popular options include Llama 3.1 (8B-405B), Mistral 7B, Phi-3, and
Salesforce and Anthropic have announced Claudeforce, a new AI plugin that integrates Claude’s language capabilities directly into Salesforce’s CRM platform for sales automation.
There is no “LM Studio Chicago” server, region, or edition. LM Studio is a desktop app for Windows, macOS and
BlackRock’s Li says Nvidia has earnings pricing power going into its second-quarter report, which Yahoo Finance frames as a test of the resurgent AI trade. Here is what the framing means for anyone buying GPUs or paying for model access.
There is no dedicated Ollama integration. You connect OpenClaw to Ollama through Ollama’s OpenAI-compatible API at http://localhost:11434/v1, treating it as
Bloomberg reports that an AI security startup working with Anthropic and Google has raised $140 million. The report is brief, so we separate what is confirmed from the wider industry context.
Nvidia’s move to provide financing to AI customers has positioned it as a banker to the sector, but the arrangement introduces new credit risks to its balance sheet.
