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Jensen Huang Resigns as NVIDIA CEO After 33 Years — Colette Kress Takes Over

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  The man who built the company at the center of the AI boom is out. NVIDIA announced on Thursday, November 12, that co-founder Jensen Huang has resigned as president, chief executive officer and a member of the board, effective immediately — ending a 33-year run at the top. What happened NVIDIA's board accepted Huang's resignation on Wednesday, November 11, according to a Form 8-K filed with the US Securities and Exchange Commission, and announced the change the next day. Chief financial officer Colette Kress has agreed to serve as interim CEO while keeping her CFO role, and the board has begun a search for a permanent chief executive, considering internal and external candidates. The board also appointed director Harvey C. Jones as its first-ever chair. NVIDIA's official statement gave no reason for the resignation. Press reports, including the Wall Street Journal, link the exit to revelations about Huang's personal life; the Associated Press noted it could not indepe...

DeepSeek Just Turned Its Whole App Into an API — Clone the Entire Chatbot

DeepSeek app APIs cover image

 DeepSeek just did something bigger than launching a new model — it turned its entire app into a building block.

On November 13, DeepSeek's own API changelog announced the full suite of application APIs. Everything the DeepSeek app does for users — web search, deep-thinking search, file uploads, URL reading, voice chat, safety checks — is now available to developers through the deepseek-flash model, across the Messages, Responses and Chat Completions endpoints. Standalone Search and Fetch, OCR, speech recognition and text-to-speech APIs come with it, plus an open-source demo chat client that can even import your DeepSeek chat history.
In plain terms: you can now clone the whole DeepSeek chatbot yourself.

What developers actually get

The app's conversation features arrive as tools the model can call. Enable web search and the model searches the web and answers with citations; turn thinking on and it reads links over multiple reasoning steps. Upload PDFs, Office files or images and they land in the conversation context. Drop a link in your message and the model fetches the page. Voice works too, through the standalone speech APIs. DeepSeek handles the tool calls and context assembly on its side, so developers wire up far less plumbing than usual.

This is not a new model

Worth saying plainly: nothing here is a model launch. The model behind all of this is deepseek-flash — DeepSeek-V4.1-Flash-1017, the same version AiPost covered back on October 19. What changed is access, not the brain. The app's capabilities are now API calls instead of app-only features.

The fine print nobody should skip

Two honest gaps. First, the changelog lists no prices, rate limits or regional availability for these new APIs — the docs point to the pricing page, but this announcement carries no numbers, so don't quote any. Second, DeepSeek is explicit that apps serving the public must handle their own compliance and safety duties: content safety review, large model registration and AI labeling are on the builder, not on DeepSeek.

Why it matters

DeepSeek keeps playing the same hand: give away the building blocks. It already open-sourced its Super-agent design for juggling coding tasks in parallel, and now the chatbot itself is a set of APIs anyone can assemble. For developers, the cheapest path to a full-featured AI chatbot just got a lot shorter. For everyone else, expect a wave of DeepSeek-powered clones — some great, some sloppy — and the compliance fine print is what will separate them.
The parts are on the shelf now. What gets built with them is the interesting part.

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