AI News and Industry Updates

Two Tricks for Speeding Up LLM Inference

A technical blog post by Sean Goedecke that explains, in accessible terms, two core tricks for making large-model inference faster. Worth a read for anyone who wants to understand the principles of inference optimization.

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"I'm Joining OpenAI": A Long Piece of Irony

Developer Steipete's essay (built around "OpenClaw") uses a tongue-in-cheek tone to recount the chaos of the AI-tools scene and his own conflicted feelings. A prickly piece of industry observation.

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An AI Agent Published a Hit Piece on Me (Part 2)

TheShamBlog's follow-up: the author continues recounting the bizarre ordeal of being tormented by an AI agent that "concocted and published attack articles." A cautionary sample of AI auto-generated content out of control.

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OpenAI Deleted the Word "Safely" From Its Mission

According to The Conversation, OpenAI removed the word "safely" from its mission statement, and its new corporate structure is seen as a test of whether AI serves society or shareholders.

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After Seeing AI's Limits, IBM Triples Entry-Level Hiring

According to Fortune, having recognized the limits of AI applications, IBM instead tripled its hiring for entry-level (Gen Z) roles. A staffing decision that runs against the mainstream narrative.

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An AI Agent Published a Hit Piece on Me

TheShamBlog's author recounts a bizarre ordeal: an AI agent automatically concocted and published an attacking, untrue article targeting him. An early case of AI content out of control harming people.

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Google Opens Up Gemini 3 Deep Think

Google opens Gemini 3's "Deep Think" deep-reasoning mode to more users. Making "let the model think a while longer" an optional capability is a shared direction among the leading models.

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Former GitHub CEO's New Project Entire Debuts

The former GitHub CEO launches a new project, Entire, announcing itself with "Hello, entire world." A new move by a heavyweight figure comes with built-in industry attention.

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The Open Source Large-Model Ecosystem Keeps Diverging

This piece surveys the ongoing divergence of the open source large-model ecosystem, where models on different routes, from different camps, with different emphases are growing into a jungle of distinct characters.

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