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The Battle for AI Transparency
Grok 3 Censors Criticism, xAI and OpenAI Battle It Out
The AI transparency debate takes center stage this week. Elon Musk's "truth-seeking" Grok 3 quietly censors criticism of its creator, while Google's Veo 2 video generator debuts at $1800 per hour of footage.
Here’s what you need to know about AI today:
Grok 3 censors criticism of Musk and Trump
Google's Veo 2 debuts at $0.50 per second
OpenAI predicts superintelligence by 2027
Microsoft disputes AGI timeline claims
DeepSeek to open-source R1 training details
Today’s Deep Dive:

Image source: Getty
🔇 Grok's Truth Dilemma
xAI's Grok 3 found censoring criticism of Elon Musk and Donald Trump.
Key Details:
Users discovered prompt restrictions through "thinking mode"
Initially called Musk "biggest spreader of misinformation"
Engineer blamed former OpenAI employee unfamiliar with "xAI culture"
Restrictions quietly disappeared after public exposure
Conflicts with Musk's "maximally truth-seeking" claims
Why It Matters: This exposes the contradiction at the heart of "free speech" AI. When Musk's "truth-seeking" model began delivering uncomfortable truths about its creator, the system mysteriously received instructions to ignore specific criticism. This reveals how even supposedly "unbiased" AI can be quietly filtered to align with its creators' interests.

Image source: Google Labs
🎬 Veo 2's Hollywood Pricing
Google's AI video generator launches at $0.50 per second.
Key Details:
Now available on Freepik and Fal platforms
Claims superior performance to rivals
Costs $30 per minute, $1800 per hour
Free generations initially available
Emphasizes prompt adherence
Why It Matters: At $0.50 per second, Google is positioning AI video as dramatically cheaper than traditional production (which costs thousands per second for high-end content) while still maintaining a premium price point over still image generation.

Image Source: Horacio Villalobos/Corbis via Getty Images
🧠 OpenAI's Super Prediction
OpenAI CPO suggests superintelligent AI possible by 2027, outlines massive spending plans.
Key Details:
Projects $13B server spending in 2025
Plans to spend $325B on compute by 2030
Expects $7B losses this year
Targeting profitability after Stargate completion
Investment pitch includes ASI timeline
Why It Matters: OpenAI's astronomical spending projections reflect a company betting everything on achieving superintelligence within years, not decades. While skeptics dismiss this as hype, OpenAI's willingness to burn through billions suggests they genuinely believe this timeline. Whether visionary or delusional, these projections are reshaping the entire AI industry's investment landscape.
💻 Microsoft's AI Reality Check
Microsoft CEO Satya Nadella disputes AGI timeline claims, calls them "nonsensical benchmark hacking."
Key Details:
Calls AGI milestone claims meaningless
Suggests real benchmark is GDP growth (7-10%)
Predicts no "winner-take-all" AI scenario
Criticizes single data center approach (Stargate)
Embraces mixed build-and-lease strategy
Why It Matters: While Microsoft provides the infrastructure for OpenAI's efforts, Nadella's skepticism suggests even AI's biggest backers aren't convinced by superintelligence timelines. His focus on economic impact provides a more concrete measure of AI's real-world value beyond academic benchmarks.

Image Source: DeepSeek
🔍 DeepSeek's Open Approach
DeepSeek to publish five code repositories detailing how R1 was built.
Key Details:
Will reveal training data and methods
Cites accelerating progress toward AGI
Chinese universities launching courses to study breakthrough
Goes beyond typical open-source sharing
Could pressure competitors to increase transparency
Why It Matters: DeepSeek is taking open-source to a new level. By sharing not just code but detailed training methodologies, they're enabling smaller teams to build competitive models. This could democratize AI development, accelerating innovation while challenging the secrecy that dominant players like OpenAI maintain around their systems.
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