Google Taps Employee Alumni Network With #AI Startup Incubator
by Guinevere Grant @business Learn more: https://
bit.ly/4uRizIc #ArtificialIntelligence #FutureOfWork #Innovation
INNOVATION
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Google taps employee alumni network for AI startup incubator
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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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Exponential growth confirmed by multiple AI benchmarks
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Basically every chart that attempts to benchmark real work shows exponentials. If you don’t like the METR chart the UK’s governmental assessment shows the same thing. So does GDPval. The frontier is jagged, of course, so not in every aspect of AI, but still.
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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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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.
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ByteDance’s iLLaDA 8B diffusion model rivals autoregressive LMs
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"Improved Large Language Diffusion Models" ByteDance just made bidirectional masked diffusion on-par with autoregessive LM! This paper iLLaDA trains an 8B Transformer from scratch on 12T tokens, then keeps the same denoising objective for SFT on a 25B-token instruction corpus.
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Deep vibe research: even crazier paths than vibe coding
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If you think that vibe coding can lead you down some crazy wrong paths, try deep vibe research!
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Sakana AI’s Fugu dynamically routes queries to multiple models
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Sakana Fugu Technical Report Instead of training one larger model, Sakana AI trains an orchestrator that reads each query and dynamically routes or composes GPT-5.5, Gemini-3.1-Pro, Claude Opus 4.8 and other agents into query-specific workflows. With Fugu being the fast router,
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Every enterprise will have its own model-harness-sandbox-eval flywheel
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Every enterprise will have its own model-harness-sandbox-eval flywheel with token value per watt optimization. This is the future. Simple reason: tacit knowledge about the domain and customers and their workflows that the company uniquely understands and has built trust around.