Google should retire Google Search and replace it with Gemini.
TECHNOLOGY
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World Labs improves at large open sky scenes
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Nice, world labs is getting good at large open sky scenes!
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Anthropic predicts AI self-improvement by end of 2028
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Anthropic is fully RSI pilled:
— Chubby♨️ (@kimmonismus) 27 juin 2026
"My prediction is by the end of 2028, it's more likely than not that we have an AI system where you would be able to say to it, 'Make a better version of yourself.' Completely autonomously."
pic.twitter.com/OURncC4PHlAnthropic is fully RSI pilled: "My prediction is by the end of 2028, it's more likely than not that we have an AI system where you would be able to say to it, 'Make a better version of yourself.' Completely autonomously."
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Free online guide for running LLMs locally on all hardware
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Wanna replace Anthropic/OpenAI? START WITH THIS The bible for running LLMs locally is now available online to read for free Covers what to use on – Laptop / edge / odd hardware
– Mac-first workflows
– Single RTX GPUs
– 2-4+ NVIDIA / CUDA GPUs
– General production serving
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Miramar execs dismissed AI film creation early on
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Yeah, I have hundreds of stories to tell that people have told me over the years. Like when the execs at Miramar, big Hollywood company, in early days of AI art models, told a guy I know "there's no way people want to create AI films."
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Debate on steady-state vs exponential intelligence value
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It is entirely possible that the steady-state people will prove to be right in the future, but there's no sign of a slowdown yet. And if greater intelligence brings greater value at an exponential pace (which it has, but may not always) then it matters a lot which world we're in.
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Growing division between exponential and steady-state AI beliefs
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A thing I am noticing is the number of folks who believe AI is “real” is larger, but now there is a growing division between people who know that we are on an exponential & those whose mental model is that we are at a sort of steady state. The difference leads to misunderstanding
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Debate on open vs frontier model capability gap and switching difficulty
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That is probably right on where we disagree. I believe the capability delta outside of coding between open & frontier is much larger. I also am suspicious that open models will continue to stay at the frontier. I also think switching between models is harder for many tasks in
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Banning Chinese models will only boost their popularity
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Yes, and they will lose. What, are they going to ban all of China's models? That will just make them more popular:
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Open source importance vs closed frontier models lead
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I think open source is important (it was literally the subject of a bunch of my pre-AI academic research). I also think that closed frontier models have a current lead with sustaining forces for now. And that more intelligent models can do more. Not sure we disagree on that much.