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  • GitHub shake-up | Reddit blocks Wayback | GPT-5 rollout tweaks | Datumo funding | LLM flaws

GitHub shake-up | Reddit blocks Wayback | GPT-5 rollout tweaks | Datumo funding | LLM flaws

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  • Thomas Dohmke, CEO of GitHub, announced on August 11, 2025, that he will step down and remain through the end of the year to lead a new venture.

  • Microsoft will not appoint a new CEO; GitHub’s leadership will now report directly to Microsoft's CoreAI team as part of deeper integration.

  • The shift reflects a strategic pivot to embed GitHub within Microsoft’s broader AI and developer tools ecosystem.

  • Reddit will block the Internet Archive from indexing most of its site—excluding only the homepage—to prevent AI firms from scraping its data for unauthorized use.

  • The restriction aims to protect user privacy and regulate compliance with platform policies after detecting misuse via the Wayback Machine.

  • This action is part of Reddit’s broader effort to control data access, which includes modified API policies and licensing discussions.

  • OpenAI’s GPT-5 deployment has encountered challenges, prompting Sam Altman to revert to legacy models (like GPT-4o) and adjust rollout parameters for Plus users.

  • The company is working on stabilizing infrastructure, refining personalization, and deciding how to moderate immersive AI experiences amid competition.

  • This reflects an iterative, feedback-driven launch strategy to correct course and deliver a reliable GPT-5 experience.

  • Datumo secured $15.5 million in funding to expand its no-code LLM evaluation platform, Datumo Eval, aimed at non-developers like trust, safety, and compliance teams.

  • The platform automates test data creation and evaluations for unsafe, biased, or incorrect model outputs—no manual scripting needed.

  • Datumo is positioning itself as a competitor to Scale AI, with plans to support its R&D and expand globally across South Korea, Japan, and the U.S.

  • A study finds that chain-of-thought LLMs struggle with genuine logical inference and instead generate fluent but nonsensical responses.

  • Researchers describe LLM reasoning as a “brittle mirage”—good at sounding logical but faltering when asked to generalize beyond training examples.

  • The findings highlight that LLMs simulate coherent text rather than perform true deductive reasoning.

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