DeepSeek R1: Stratechery Analysis

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Post on Jan 22, 2025

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DeepSeek R1: A Stratechery-Inspired Deep Dive (and My Oh-So-Humble Opinion)

Hey everyone! So, Ben Thompson’s Stratechery is, like, my go-to source for all things tech and business strategy. Seriously, the guy’s a genius. And recently, he covered DeepSeek R1, this new AI search thing. I gotta say, reading his analysis was a total mind-blower, but it also got me thinking…and experimenting. This post is my attempt to break down my own experience, inspired by his work, obviously, and maybe, just maybe, add a little something extra.

<h3>What's the Big Deal with DeepSeek R1?</h3>

According to Ben, and my own research, DeepSeek R1 is aiming to be more than just another search engine. Think of it as a personalized research assistant, powered by AI. It’s not just spitting out links; it’s supposedly summarizing information, comparing sources, and even generating different perspectives. Pretty wild, right? Stratechery’s analysis highlighted its potential to disrupt the current search landscape, especially Google's dominance.

I mean, who hasn't been frustrated with endlessly scrolling through search results? I've lost count of the times I've wasted hours trying to find reliable information on, say, the history of the electric toothbrush. (Don't judge, it was for a weird historical fiction project). That's where a tool like DeepSeek R1 could really shine. It claims to cut through the noise and give you the most relevant, synthesized information quickly.

<h3>My DeepSeek R1 Experiment (and My Epic Fail)</h3>

Naturally, I had to try it myself. I mean, come on, I'm a sucker for new tech gadgets, even digital ones. My first query? "The impact of AI on the future of work." Ambitious, I know.

The results? Mixed. DeepSeek R1 did a decent job of summarizing different viewpoints – it pulled from academic papers, news articles, and even blog posts (like mine, hopefully one day!). It gave me a pretty comprehensive overview. But then, it also hallucinated a few facts. It cited a non-existent study, which was, um, less than ideal.

Lesson Learned: Don't rely on any AI tool blindly. Always, always double-check the information it provides with trusted sources. AI is amazing, but it ain’t perfect. It's still in its early stages of development, right? It's like having a super-smart intern who needs constant supervision!

<h3>Practical Tips from My DeepSeek R1 Journey (and Failures)</h3>

• Think critically: AI tools are amazing for research, but they're only as good as their data. Always be ready to fact-check.
• Be specific: The more specific your query, the better the results. Instead of "AI," try "impact of generative AI on customer service." You get way better results.
• Experiment: Don't be afraid to play around with different search terms and prompts. Finding the right wording is key to unlocking DeepSeek R1's full potential.
• Combine DeepSeek R1 with traditional research: Use DeepSeek R1 to get a broad overview, then use it to identify key sources for more in-depth research.

<h3>The Future of Search – According to Me (and Maybe Ben Thompson)</h3>

Ben Thompson’s Stratechery analysis was spot on about the potential of DeepSeek R1. The technology is fascinating. The idea of AI summarizing complex information is incredible. But like any new technology, it's not perfect. There are still significant challenges and limitations to overcome, such as the issue of hallucinations. The future of search is definitely going to be shaped by AI, that's for sure. But it's gonna be a long, bumpy road.

So, what do you think? Have you tried DeepSeek R1? Let me know your experience in the comments below! I'd love to hear your thoughts and maybe even learn from your own mistakes.