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Abacus AI pitches ChatLLM as a single-service replacement for ChatGPT, Claude, and Midjourney
Abacus AI's ChatLLM puts text models, image and video generation, and agent workflows in one interface to cut down on subscriptions and app-switching.
OpenAI shuts down Sora video generator six months after launching standalone app
OpenAI has abruptly announced it is closing Sora, its realistic video generation service that topped the App Store and also drew controversy over moderation and…
OpenAI shuts down Sora, ending its standalone video app after a viral launch
OpenAI has shut down its Sora iPhone app a few months after launch: viral interest never became lasting demand, and the company is shifting to a broader product.
Arm launches its own AI processors, targets $15 billion in annual revenue
OpenAI Foundation to Spend $1 Billion on Alzheimer's, Jobs and AI Resilience
China bars Manus co-founders from leaving the country amid startup's Meta deal
Nvidia unveils PivotRL, an AI agent training framework that cuts rollout turns by 4x
Yandex 360 explains how to teach an AI assistant to work with an in-house UI kit
The Yandex 360 team describes how to make a frontend repository legible to AI, and why without that the assistant will hallucinate components.
Google unveils TurboQuant: 6x LLM KV cache compression with no accuracy loss
Google Research has shown TurboQuant, an algorithm that compresses the KV cache of large language models at least sixfold and speeds up attention up to 8x with no…
Openreach and Google Cloud bring AI to planning of Britain's fibre network
LinkedIn and SHRM: AI Has Made the Résumé a Weak Signal and Turned It Into a Hiring Filter
MCP LLM Agent in Fusion360: A First Vibe-Design Test on a Wooden Staircase
Claude Code helped push a legal RAG pipeline to 0.791, but the ARLC 2026 final hit a scaling wall
Habr: How a Stale Knowledge Base Breaks LLM Agents, and How to Fix It
A Habr article explains why outdated documentation is more dangerous to LLM agents than none at all, and proposes three practices: automated checks, document…
Vibe coding promises 10x productivity gains. PyPI doesn't confirm them yet
Developers claim 10–100x speedups from AI tools. If that's true, why doesn't PyPI show an explosion in the number of Python packages?