Older stories and guides from the Convly archive.
OpenAI has reportedly fully open-sourced its Codex Harness, according to 36 Kr, opening the AI coding orchestration framework to independent deployment and inspection. The move has significant implications for how engineering teams manage API costs and build AI coding workflows.
TL;DR:LM Studio is a free desktop application for running large language models locally on your computer without coding or command-line workDownload models directly from Hugging Face through the built-in browser, supports GGUF format with automatic quantization selectionIncludes chat UI, local API server (OpenAI-compatible), and automatic hardware acceleration (CUDA, Metal, CPU)Requires sufficient VRAM/RAM based on model size—typically 8GB minimum for 7B models, 24GB+ for 13B modelsLM Studio is a desktop application that lets you download, run, and interact with large language models on your own computer.
A new CreditSights analysis examines how DeepSeek’s efficiency claims are influencing Q2 2026 datacenter supply and demand dynamics, with implications for API economics across frontier models.
Sora 2 vs Veo 3 is the wrong comparison now. Google shut Veo 3 down on 30 June 2026 and directs new work to Veo 3.1, so the live matchup is Sora 2 against Veo 3.1.
Sora 2 is the cheapest frontier option at $0.10 per second of 720p video — $0.05 on the batch tier. Sora 2 Pro runs $0.30 (720p) to $0.70 (1080p).
According to The Motley Fool, 88% of Nvidia’s disclosed equity portfolio is concentrated in just three artificial intelligence companies — a signal of unusual conviction from the world’s leading AI chipmaker.
TL;DRgpt-oss:20b runs in ~16GB memory (fits most gaming GPUs), gpt-oss:120b needs ~70GB (single 80GB GPU or split across consumer cards)Install with ollama pull gpt-oss:20b or ollama pull gpt-oss:120b, then run with ollama run gpt-oss:20bBoth variants use MXFP4 quantisation at 4.25 bits per parameter and support 128K context windowsReleased by OpenAI as open-weight models in partnership with Ollama, comparable to Llama 3.1 and Qwen 2.5 in quality OpenAI released gpt-oss as open-weight models in August 2025, distributed exclusively through Ollama.
TL;DR:There is no Gemma 4 release as of August 2026.
DeepSeek AI has released the DeepSeek Harness into developer preview, an MIT-licensed agent framework where every component is implemented as a plugin. The release expands DeepSeek’s open-source developer tooling beyond its language models.
A Hugging Face dataset is a structured data collection hosted on the Hugging Face Hub, searchable at huggingface.co/datasets — over 300,000 public datasets as of 2026. Load any dataset in one line: from datasets import load_dataset; ds = load_dataset(‘stanfordnlp/imdb’)Each dataset ships with typed splits (train/validation/test), a features schema (text, image, audio, labels), and optional streaming for terabyte-scale files. Push your own data with ds.push_to_hub(‘your-username/your-dataset’) after running huggingface-cli login. A Hugging Face dataset is a versioned, structured data collection stored on the Hugging Face Hub and consumed through the datasets Python library.
OpenAI’s $6.5 billion collaboration with legendary designer Jony Ive signals a strategic pivot toward hardware and user experience, highlighting the irreplaceable value of human design judgment in the AI era.
TradingView reports Intel is raising approximately $20 billion in capital as Nvidia holds around 214.8 million shares — two headline figures reshaping how investors and AI hardware practitioners read the semiconductor landscape in mid-2026.
