Hub AI in practice

Artificial Intelligence is present in everyday life – from “googling” to facial recognition to vacuum cleaner robots. AI tools are becoming more and more elaborate and support people and companies more effectively in their tasks, such as generating graphics, texting or coding, or interpreting large amounts of data.

What AI tools are there, how do they work, how do they help in our everyday world – and how do they change our lives? These are the questions we address in our Content Hub Artificial Intelligence in Practice.

AI in practice

Google leans on token metrics, not revenue, adding to bubble talk about AI growth

AI in practice

OpenAI launches GPT-5 as a unified system with adaptive reasoning for complex tasks

AI in practice

OpenAI releases its first open-weight language models since GPT-2 with GPT-oss

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AI in practice
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Google’s text embedding model "gemini-embedding-001" is now generally available via the Gemini API and Vertex AI. It costs $0.15 per one million input tokens.

The model supports over 100 languages, handles inputs of up to 2048 tokens, and uses Matryoshka Representation Learning (MRL) to reduce output size, which helps cut memory use and computing costs. Google says the model performs better than its earlier models and external alternatives in several tasks. Since its experimental launch in March, Google states the model has held a top position on the MTEB Multilingual Leaderboard.

Image: Google
AI in practice
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SpaceX, Elon Musk's aerospace company, is investing $2 billion in Elon Musk's AI lab, xAI. The funding is part of a larger $5 billion round, according to The Wall Street Journal. xAI's chatbot Grok is already used for customer support in SpaceX’s Starlink satellite internet service.

Musk stated on X that "it would be great" if Tesla also invested in xAI, but this requires approval from Tesla's board and shareholders. In March, Musk announced the merger of xAI with his social media company X. The merger allows the companies to share data, AI models, computing power, and staff.

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AI in practice
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OpenAI alignment researcher Sean Grove believes the most valuable programmers of the future will be those who communicate best. "If you can communicate effectively, you can program," Grove says. In his view, software development has never been just about code but about structured communication: understanding requirements, defining goals, and making them clear to both people and machines.

Grove argues that code itself is only a "lossy projection" of the original intent and values. As AI models become more powerful, he says, the real skill will be turning that intent into precise specifications and prompts.

"Whoever writes the spec be it a PM, a lawmaker, an engineer, a marketer, is now the programmer," Grove explains.

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Mistral AI and All Hands AI have introduced two new models designed for AI-powered programming agents: Devstral Small 1.1 and Devstral Medium. Devstral Small 1.1 2507 is open source and can run locally on an RTX 4090 or a Mac with 32 GB of RAM. It achieved a 53.6% score on the SWE-Bench Verified benchmark and supports XML along with other formats.

Image: Mistral

Devstral Medium scored 61.6% on the same benchmark. According to Mistral, it offers more power and a lower price than Gemini 2.5 Pro and GPT-4.1. The model is available via API, supports fine-tuning, and will soon be integrated into Mistral Code.

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Google is adding three new AI modes to Firebase Studio. The update introduces "Agent" modes powered by Gemini 2.5: a conversational "Ask" mode, a guided "Agent" mode that acts with user approval, and a fully autonomous "Agent Auto-run" mode that can write and update code on its own. Google says all three modes respect project-specific rules and require user approval for any security-sensitive actions.

Google says that in Agent Auto-run mode, Firebase Studio can generate entire apps or add new features to existing projects with minimal user input. | Video: Google

Firebase Studio now also supports the Model Context Protocol (MCP), making it easier to connect external data sources. Developers can access the Gemini command line (CLI) directly in the terminal for tasks like debugging and code management.

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AI and society
Comment

OpenAI and Microsoft call AGI pointless, then make it the linchpin of billion-dollar deals

AI in practice

Google leans on token metrics, not revenue, adding to bubble talk about AI growth

AI and society

OpenAI restructures under new foundation, Microsoft takes 27 percent stake

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