Author HubMaximilian Schreiner

Max is the managing editor of THE DECODER, bringing his background in philosophy to explore questions of consciousness and whether machines truly think or just pretend to.
AI and society

OpenAI restructures under new foundation, Microsoft takes 27 percent stake

AI research

OpenAI outperforms humans and Google at the world's top collegiate programming contest

AI in practice

New data from OpenAI and Anthropic show how people actually use ChatGPT and Claude

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AI in practice
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Reddit set a trap for the AI search company Perplexity to prove that it was scraping content from Google Search.

As part of a lawsuit against several data-scraping firms, Reddit accuses Perplexity of illegally using its content. To back up the claim, Reddit ran a targeted test. According to the lawsuit, Reddit created a "test post" that could "only be crawled by Google’s search engine and was not otherwise accessible anywhere on the internet." Within a few hours, the content from this post appeared in Perplexity's search results, which Reddit says demonstrates that Perplexity was scraping Google's search results.

This incident is just one part of a broader fight, as platforms like Reddit try to block the unauthorized use of their data to train AI models. "A.I. companies are locked in an arms race for quality human content — and that pressure has fueled an industrial-scale ‘data laundering’ economy," said Ben Lee, Reddit's Chief Legal Officer.

AI in practice
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OpenAI's new browser, ChatGPT Atlas, could pose security risks, according to the company’s head of security, Dane Stuckey.

One of the biggest issues involves so-called prompt injections. In these attacks, malicious instructions are hidden on websites or in emails to manipulate the AI agent. The effects can range from influencing purchasing decisions to stealing private data such as email contents or login credentials.

Stuckey said OpenAI has run extensive tests, introduced new training methods, and built in protective mechanisms. Still, prompt injection remains an unresolved security challenge. To reduce risks, Atlas includes a "logged out mode" that prevents access to user data and a "watch mode" for sensitive websites, which requires active user supervision. Stuckey added that OpenAI is developing additional security features and faster response systems to handle potential attacks.

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AI in practice
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Adobe is launching AI Foundry, a service for companies that want to build their own generative AI models. The platform uses Adobe's Firefly models, which are trained entirely on licensed data. With AI Foundry, organizations can develop custom models for text, images, video, and 3D content based on their own brand assets and intellectual property.

According to Hannah Elsakr at Adobe, more businesses are looking for tailored solutions like this. AI Foundry is positioned as a legally secure alternative to other providers and aims to reduce legal risks for companies using AI. Pricing depends on usage, and one of the first customers is expected to be Walt Disney Imagineering.

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OpenAI expects to cut hardware costs by 20 to 30 percent through a joint chip development program with Broadcom, according to a Bloomberg report citing a person familiar with the company’s plans. The custom chips are scheduled to roll out by late 2026 and are part of a multibillion-dollar project valued at several tens of billions of dollars.

Typically, OpenAI budgets around $50 billion to build a 1-gigawatt data center, with roughly $35 billion spent on advanced chips. The new partnership aims to reduce those chip costs significantly.

But the plan comes with major risks. Developing custom silicon requires billions in investment, specialized technical expertise, and multiple design cycles. The rapid pace of AI innovation also increases the risk that the chips could become obsolete quickly. "There’s a steep learning curve," said semiconductor analyst Cody Acree from Benchmark.

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According to two people familiar with the matter, AI startup Anthropic expects to nearly triple its annual revenue by 2026, Reuters reports. The company projects an annualized revenue of $9 billion by the end of 2025 and is targeting more than $20 billion in 2026 under its base scenario, or as much as $26 billion in the most optimistic case.

Anthropic told Reuters that its annualized revenue stood at around $7 billion as of October. Most of the company's growth comes from enterprise clients, who account for roughly 80 percent of its revenue. The startup was recently valued at $183 billion after raising $13 billion in new funding.

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AI research

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

AI and society

Physicist Steve Hsu publishes research built around a core idea generated by GPT-5

AI research

The ARC benchmark's fall marks another casualty of relentless AI optimization

Google News