Author HubMatthias Bastian

Matthias is the co-founder and publisher of THE DECODER, exploring how AI is fundamentally changing the relationship between humans and computers.
AI research
Update

So-called reasoning models are more efficient but not more capable than regular LLMs, study finds

AI in practice

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

AI and society

The long-predicted deepfake dystopia has arrived with Sora 2

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AI in practice
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Google is reportedly getting ready to unveil several new AI features at its upcoming I/O developer conference. Among them is an AI assistant aimed at software development, known internally as the "Software Development Lifecycle Agent." According to Google employees, this tool is designed to serve as a constant companion for developers, working quietly in the background to help with troubleshooting, documentation, and security tasks.

For everyday users, Google is said to be working on a new feature that takes cues from Pinterest. The idea is to let people browse fashion or interior design images and save their favorites into folders. Google may also use the event to showcase the Gemini chatbot's voice mode alongside Android XR headsets (confirmed).

AI in practice
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ChatGPT can now access company data through a SharePoint connector. The beta feature is available for ChatGPT Plus, Pro, and Team users. With the new integration, ChatGPT can analyze and summarize content from multiple SharePoint sites, complete with source references. OpenAI says use cases include cross-department summaries of strategy documents or building customer profiles by combining internal data with information from the web.

According to OpenAI, ChatGPT only accesses content that users have permission to view, and by default, the data is not used for training. Support for Enterprise customers is coming soon. Users can configure the connector in ChatGPT settings under "Connected Apps." Last week, OpenAI also rolled out Deep Research for Github.

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AI and society
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U.S. President Donald Trump has dismissed Shira Perlmutter, head of the U.S. Copyright Office, shortly after her office released a report opposing broad "fair use" exemptions for AI training purposes. The report's stance conflicts with the interests of Trump ally Elon Musk and much of the AI industry. Perlmutter had served since 2020. Rep. Joseph Morelle, the top Democrat on the House Committee on Administration, called the dismissal an "unprecedented power grab with no legal basis" and said the timing was "certainly no coincidence."

This action once again tramples on Congress’s Article One authority and throws a trillion-dollar industry into chaos.

Rep. Joe Morelle

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AI in practice
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Reasoning tasks sharply raise AI costs, according to a new analysis by Artificial Analysis. Google's Gemini Flash 2.5 costs 150 times more to run than Flash 2.0, due to using 17 times more tokens and charging $3.50 per million output tokens with reasoning, compared to $0.40 for the earlier model. This makes Flash 2.5 the most expensive model in terms of token use for logic. OpenAI's o4-mini costs more per token but used fewer tokens overall, making it cheaper in the benchmark.

Bar chart titled “Cost to Run Artificial Analysis Intelligence Index.” It shows total U.S. dollar costs to complete all tests in the Artificial Analysis Intelligence Index using different AI models. Bars are split into three colors: Input (blue), Reasoning (purple), Output (green). On the left are the most expensive models: GPT-3 ($1,951), Claude 3 Opus ($1,485), Gemini 2.5 Pro ($844). In the middle: Gemini 2.5 Flash with reasoning ($445), o4-mini (high) ($323). On the right are the cheapest models: Gemini 2.0 Flash ($3), Llama 3 8B ($2). A purple arrow above highlights the cost gap between Gemini 2.0 Flash and Gemini 2.5 Flash with reasoning, labeled “150x.” Source: Artificial Analysis.
Google's Gemini Flash 2.5 costs 150 times more to run with reasoning enabled than Flash 2.0, due to higher token use and pricing. | Image: Artificial Analysis
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AI research

More AI agents isn't always better, new Google and MIT study finds

AI in practice

GPT-5.2 lands to top Google's Gemini 3 in the AI benchmark game just four weeks after GPT-5.1

AI research

Corporate AI agents use simple workflows with human oversight instead of chasing full autonomy

Google News