Yes exactly. So, I think it's not "OpenAI ran with it" but "Google ran into a different direction with it"
BIG TECH
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Encoder vs Decoder: Google and OpenAI’s Architectural Rivalry
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I am not sure "OpenAI ran with it" is entirely correct. I remember there was quite some rivalry between Google's encoder approach and OpenAI's push for decoder-style models.
Google tried to make encoder-style models work for many years, since the original architecture. -

Google Adds NotebookLM to Gemini
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BREAKING : Google is rolling out a NotebookLM integration for Gemini, where users will be able to attach notebooks as a context to their conversations. Grendizer, combine!
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Chinese Phone Maker Redefines Luxury Car Market With AI
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👀🚙🤷🏽♀️ A phone company this luxury car. Let that sink in. China is not experimenting anymore, it is executing. Around $100K gets you this: Maextro S800. Tech companies are no longer entering the auto industry, they are redefining it. The future of mobility is being engineered!… pic.twitter.com/PXDpG5SImQ
— Catherine Adenle (@CatherineAdenle) 13 décembre 2025A phone company this luxury car. Let that sink in. China is not experimenting anymore, it is executing. Around $100K gets you this: Maextro S800. Tech companies are no longer entering the auto industry, they are redefining it. The future of mobility is being engineered!
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AI Companies Balance Pre-training and Post-training Strategies
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To be clear (getting a lot of confused comments), I obviously don't mean that any of these companies are solely focused on one thing. OAI/Anthropic/Google all focus on both pre-training and post-training (obv there are stages within those, just simplifying here). But it feels
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Enterprise AI: NVIDIA Accelerated Computing Transforms Business Intelligence
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When AI understands your entire enterprise, everything gets smarter.
— NVIDIA AI (@NVIDIAAI) 12 décembre 2025
🎙️Join @amitisinvesting as he sits down with Justin Boitano (VP of Enterprise AI, NVIDIA) and Kevin Kawasaki (Head of Business Development, @PalantirTech) to reveal how pairing NVIDIA accelerated computing with… pic.twitter.com/WyZFAc7Fa8When AI understands your entire enterprise, everything gets smarter. Join @amitisinvesting as he sits down with Justin Boitano (VP of Enterprise AI, NVIDIA) and Kevin Kawasaki (Head of Business Development, @PalantirTech
) to reveal how pairing NVIDIA accelerated computing with -
OpenAI’s Post-Training vs Google Anthropic Pre-Training Capabilities
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Yep, I just mean that it *feels* (could be very, very wrong) like OAI has much better post-training, Google/Anthropic have much better pre-training
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OpenAI Instant vs Claude Opus: Performance Comparison Analysis
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I personally don’t like Instant. If OpenAI was still the only game in town, it would have a place in my lineup, purely because the Thinking variant is so slow and sometimes I do need a quick answer. But Opus is just far better than Instant when I want something quick.
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SpaceX IPO, Instagram algorithm control, and AI dating apps
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Top stories in tech today: – SpaceX IPO could hit $1.5T valuation
– Instagram gets an algorithm control panel
– Altman’s everything app needs eyeballs
– Hinge founder launches AI dating app
– Quick hits on other tech news Read more: https://
tech.therundown.ai/p/spacex-preps
-monster-1-5t-ipo
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Hyperscalers Invest $400B in AI Infrastructure Development
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Over $400 billion is being invested this year to build AI infrastructure—the vast majority of it from U.S. hyperscalers. Next year, that number rises to $500 billion.
— Nina Schick (@NinaDSchick) 12 décembre 2025
Why?
Because they believe in a future where non-biological intelligence becomes a utility—flowing through every… pic.twitter.com/SrVVt5m7W0Over $400 billion is being invested this year to build AI infrastructure—the vast majority of it from U.S. hyperscalers. Next year, that number rises to $500 billion. Why? Because they believe in a future where non-biological intelligence becomes a utility—flowing through every