Dr Waku
AI safety, LLM reasoning, and hardware strategy with a focus on philosophical implications and technical synthesis.
Nutrition Label
Dr Waku specializes in synthesizing complex AI safety research, AGI predictions, and hardware industry analysis into accessible narratives. Viewers can expect well-structured essays that cite academic papers and industry reports, though the content prioritizes high-level theory and strategy over hands-on coding or original experimentation.
Strengths
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Notes
- !Content synthesizes existing papers and industry reports rather than showcasing original hands-on testing.
- !The creator works professionally in AI safety, explicitly framing analysis through that specific lens.
Rating Breakdown
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Recent Videos
How AI hands hackers a skeleton key
AI coding has reached a tipping point
Dr Waku Christmas Special 2025
How to not teach your AI dangerous knowledge
Who will benefit from OpenAI's wealth?
How AI actually reasons: inside model thought processes
Superintelligence: the ultimate geopolitical weapon?
AI is getting smarter—but it's still not aligned
On a knife’s edge: why AI will change everything
Can Amazon compete against Nvidia GPUs?
Sander's Game: Prompting and jailbreaking LLMs
Why we aren't getting any better at AI alignment
Why a global federation might be needed to manage AI
How DeepSeek built cutting-edge AI without top GPUs
VR, DeepSeek, China, and an optimistic future
Why this rating
Evidence receipts showing why each dimension is rated the way it is.
“I have a new job in AI safety, and I will be adjusting the content of the channel slightly towards an AI safety focus.”
The creator explicitly discloses a new employment status that creates a material bias/focus for the channel, demonstrating high transparency about the channel's new direction.
“Occupation 1: Becoming a technical AI safety researcher... Occupation 2: AI communications and Rob Miles”
Provides specific, autobiographical details about his professional transition and real-world collaborations (Rob Miles), indicating genuine first-hand experience.
“Two years ago, I predicted AGI would arrive now... Do the latest Claude, Gemini, etc count as AGI?”
Reflects on his own past predictions with temporal depth, evaluating them against current model capabilities.