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- Did China's DeepSeek Steal from OpenAI?
Did China's DeepSeek Steal from OpenAI?
PLUS: Google's Gemini 2 Thinking Model, Everything You Need To Know About Stargate, and Anthropic's Dario Shares Why DeepSeek Is Overhyped
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1) Things Are Getting Better
Google’s AI keeps getting better. If you haven’t tried it in a while, I suggest you try their O1-like thinking model. It’s close to O1 quality but with a massive context window.
Our latest update to our Gemini 2.0 Flash Thinking model (available here: goo.gle/4jsCqZC) scores 73.3% on AIME (math) & 74.2% on GPQA Diamond (science) benchmarks. Thanks for all your feedback, this represents super fast progress from our first release just this past… x.com/i/web/status/1…
— Demis Hassabis (@demishassabis)
11:20 PM • Jan 21, 2025
2) Did China's DeepSeek Steal from OpenAI?
Chinese AI company DeepSeek is facing serious accusations of stealing data from OpenAI to train its newly announced R1 model. The Financial Times reports that OpenAI and Microsoft claim they have evidence that DeepSeek used the OpenAI API to train their model in a way that was against the terms of service. David Sacks, a famed member of the PayPal Mafia and now head of AI & Crypto for the Trump Administration, says there's "substantial evidence" of the theft.
Meanwhile, users on X have shared screenshots (whose validity I haven’t been able to confirm) purporting to show V3, the underlying LLM powering R1, responding to queries about its model identity with “ChatGPT, developed by OpenAI.”
Mystery solved, why DeepSeek keep calling itself OpenAI.
— Denise Wu (@denisewu)
7:44 AM • Jan 29, 2025
Last week's R1 announcement briefly rattled markets—causing Nvidia shares to plummet 17% as investors panicked over the prospect of ultra-cheap AI training. DeepSeek's bold claim that they spent only $5.6 million without premium GPUs raised immediate eyebrows—count me skeptical. But even if true, there's no reason that alone should tank Nvidia. After all, bigger models still require more compute power, and there's no upper bound on how smart we want AI to become.
The reality? Most experts remain unconvinced that R1 represents any real leap forward. Anthropic’s CEO Dario commented in a recent blog post that while there might be minor efficiency gains, R1 performs roughly on par with top U.S. models from nine months ago.
GPT4o latest almost at the bottom of this graph of Aiden-bench.
I seriously wonder what is making OpenAI wait so long to release a new LLM.
— Chubby♨️ (@kimmonismus)
9:58 AM • Jan 29, 2025
My own testing confirms this: while R1 is indeed cheaper to run and admirably open source, its performance trails GPT-4 and Claude. It’s also refreshingly transparent about its thinking process—except, tellingly, when asked about Taiwan or Tiananmen Square.
Despite the hype around R1 itself, China's AI progress is undeniable, and this incident will only accelerate global competition. Sam Altman is already hinting at new OpenAI models that could overshadow DeepSeek's announcement entirely. Anyone hoping for slower, more measured AI development, should prepare themselves. Things are going to accelerate even faster now that China is in the game with open-source AI that anyone can use.
For techno-optimists, it’s both thrilling and sobering. If the U.S. and its allies are vying with China for the first true superintelligence, the leader might stay ahead for decades—if not longer. Free speech and human rights hinge on who sets global norms for advanced AI. So while R1 is intriguing, the broader implications are enormous, with the war for AI dominance in full swing.
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3) OpenAI’s Stargate Project is INSANE!
In this week’s episode of The Next Wave, Matt Wolfe and I discussed everything you need to know about OpenAI’s Stargate Project. The biggest technology infrastructure project in human history. Check it out!
Also, please subscribe to The Next Wave on Apple, Spotify, and YouTube.
4) Things I’m Learning From
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-Nathan
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