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Maximilian Schreiner
Maximilian Schreiner View the LinkedIn Profile of Maximilian Schreiner
Feb 13, 2026
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Read full article about: Microsoft AI CEO: "Most" white-collar tasks will be automated in 18 months

Microsoft AI CEO Mustafa Suleyman predicts the end of traditional white-collar work in 18 months.

"I think that we're going to have a human-level performance on most, if not all, professional tasks," Suleyman says in an interview with the Financial Times. "So white-collar work, where you're sitting down at a computer, either being a lawyer or an accountant or a project manager or a marketing person — most of those tasks will be fully automated by an AI within the next 12 to 18 months."

Suleyman leads Microsoft's AI division, which has invested billions in OpenAI and Anthropic and operates Copilot, one of the most widely used AI work tools. He describes the shift as already underway: In software engineering, developers are already using "AI-assisted coding for the vast majority of their code production."

Anthropic CEO Dario Amodei even predicted that half of entry-level office jobs could disappear within one to five years. He is already observing that fewer junior and mid-level employees are needed. AI could be better than humans in many areas within one to two years, while the labor market adapts with a delay.

Suleyman's boss, Microsoft CEO Satya Nadella, on the other hand, sees more of a shift where existing cognitive tasks might be automated, but new, more demanding tasks would emerge.

Comment Source: FT
Matthias Bastian
Matthias Bastian View the LinkedIn Profile of Matthias Bastian
Feb 12, 2026
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Read full article about: OpenAI is retiring GPT-4o and three other legacy models tomorrow, likely for good

OpenAI is dropping several older AI models from ChatGPT on February 13, 2026: GPT-4o, GPT-4.1, GPT-4.1 mini, and o4-mini. The models will stick around in the API for now. The company says it comes down to usage: only 0.1 percent of users still pick GPT-4o on any given day.

There's a reason OpenAI is being so careful about GPT-4o specifically: the model has a complicated past. OpenAI already killed it once back in August 2025, only to bring it back for paying subscribers after users pushed back hard. Some people had grown genuinely attached to the model, which was known for its complacent, people-pleasing communication style. OpenAI addresses this head-on at the end of the post:

We know that losing access to GPT‑4o will feel frustrating for some users, and we didn’t make this decision lightly. Retiring models is never easy, but it allows us to focus on improving the models most people use today.

OpenAI

OpenAI points to GPT-5.1 and GPT-5.2 as improved successors that incorporate feedback from GPT-4o users. People can now tweak ChatGPT's tone and style, things like warmth and enthusiasm. But that probably won't be enough for the GPT-4o faithful.

Comment Source: OpenAI
Maximilian Schreiner
Maximilian Schreiner View the LinkedIn Profile of Maximilian Schreiner
Feb 12, 2026
AI in practice
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Pentagon pushes AI companies to deploy unrestricted models on classified military networks

The Pentagon is pressing leading AI companies including OpenAI, Anthropic, Google, and xAI to make their AI tools available on classified military networks – without the usual usage restrictions.

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Matthias Bastian
Matthias Bastian View the LinkedIn Profile of Matthias Bastian
Feb 12, 2026
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Read full article about: OpenAI reportedly uses a "special version" of ChatGPT to hunt down internal leakers by scanning Slack and email

OpenAI uses a "special version" of ChatGPT to track down internal information leaks. That's according to a report from The Information, citing a person familiar with the matter. When a news article about internal operations surfaces, OpenAI's security team feeds the text into this custom ChatGPT version, which has access to internal documents as well as employees' Slack and email messages.

The system then suggests possible sources of the leak by identifying files or communication channels that contain the published information and showing who had access to them. It's unclear whether OpenAI has actually caught anyone using this method.

What exactly makes this version special isn't known, but there's a clue: OpenAI engineers recently presented the architecture of an internal AI agent that could serve this purpose. It's designed to let employees run complex data analysis using natural language and has access to institutional knowledge stored in Slack messages, Google Docs, and more.

Comment Source: The Information
Matthias Bastian
Matthias Bastian View the LinkedIn Profile of Matthias Bastian
Feb 11, 2026
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Read full article about: OpenAI upgrades Responses API with features built specifically for long-running AI agents

OpenAI is adding new capabilities to its Responses API that are built specifically for long-running AI agents. The update brings three major features: server-side compression that keeps agent sessions going for hours without blowing past context limits, controlled internet access for OpenAI-hosted containers so they can install libraries and run scripts, and "skills": reusable bundles of instructions, scripts, and files that agents can pull in and execute on demand.

Skills work as a middle layer between system prompts and tools. Instead of stuffing long workflows into every prompt, developers can package them as versioned bundles that only kick in when needed. They ship as ZIP files, support versioning, and work in both hosted and local containers through the API. OpenAI recommends building skills like small command-line programs and pinning specific versions in production.

Comment Source: OpenAI Cookbook GitHub
Maximilian Schreiner
Maximilian Schreiner View the LinkedIn Profile of Maximilian Schreiner
Feb 11, 2026
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Read full article about: ByteDance turns to Samsung for custom AI chip production and scarce memory supplies

Bytedance is in talks with Samsung to produce a custom AI chip, a deal that could also give the TikTok parent company access to hard-to-get memory chips, according to Reuters.

Bytedance is developing its own AI chip for inference tasks under the codename SeedChip and is negotiating with Samsung to manufacture it, Reuters reports. What makes the deal especially interesting: the talks also cover access to memory chip supplies, which are extremely scarce amid the global AI infrastructure buildout - making the arrangement particularly valuable for Bytedance.

The company plans to receive its first sample chips by the end of March and produce at least 100,000 units this year, with a possible ramp-up to 350,000. Bytedance intends to spend more than 160 billion yuan (roughly $22 billion) on AI-related procurement in 2026 - more than half of that going toward Nvidia chips, including H200 models, and development of its own chip.

Bytedance executive Zhao Qi acknowledged during an internal meeting in January that the company's AI models still trail global leaders like OpenAI, but pledged continued support for AI development. Bytedance itself denies the chip project - a spokesperson told Reuters the information was inaccurate without providing further details.

Comment Source: Reuters