It’s hard to imagine, but Fable will be considered a “dumb” model in just a few months.
INNOVATION
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AI projects signal intent but require further expansion
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By themselves, these projects will not be sufficient to meet the challenge of advanced AI. But they’re a signal of our intent. Over the coming months and years, we will expand our work on these fronts much further.
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Claude Fable5 new AI: comparative test with Opus 4.8 and GPT 5.5
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Claude #Fable5 just came out and this AI is CRAZY! Here's my full test → https://youtu.be/FukC8qIEqY4 I compare Fable 5 to Opus 4.8 and GPT 5.5. You'll see, I wasn't ready…
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Tori agent uses SpaceXAI data for market sentiment analysis
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Read more about how Tori, eToro's agent, leverages models and real-time data from SpaceXAI to help consumers analyze market sentiment https://
x.ai/news/grok-etoro -
Agentic AI drives tech services to pick role, from enabler to builder
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Agentic AI is pushing tech services to pick a clear role, from enabler to full solution builder. Each choice affects skills and delivery, so organizations must decide where to invest and how to scale. Source @McKinsey Link https://
mck.co/4cCZTGm via @antgrasso -
Google’s DiffusionGemma open model offers 4x faster text generation
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Google released DiffusionGemma, a new open model with up to 4x faster output!
— 🚨 AI News | TestingCatalog (@testingcatalog) 10 juin 2026
> Instead of predicting word-by-word, it generates entire blocks of text simultaneously. This lets the model self-correct and format complex markdown in real time.
Same performance as Gemma 4 is a big… https://t.co/4xdlReHpuC pic.twitter.com/rd198p7zbRGoogle released DiffusionGemma, a new open model with up to 4x faster output! > Instead of predicting word-by-word, it generates entire blocks of text simultaneously. This lets the model self-correct and format complex markdown in real time. Same performance as Gemma 4 is a big
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Google Diffusion Gemma and visual guide for faster text generation
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Blog post: https://
blog.google/innovation-and
-ai/technology/developers-tools/diffusion-gemma-faster-text-generation/
… And a good visual guide to how it works by @MaartenGr
: https://
newsletter.maartengrootendorst.com/p/a-visual-gui
de-to-diffusiongemma
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Parallax: Local Linear Attention matches FA 2/3 when using Muon
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Parallax is a parametrized form of Local Linear Attention that drops the numerical solvers and matches FA 2/3 on decode. The most impressive part is that the architecture's benefit works with Muon but disappears under AdamW because the model learns to suppress it. It's
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SambaNova: two to three times better results than Nvidia Blackwell GPUs
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"We are getting two to three times better results than the [Nvidia] Blackwell [GPUs] on exactly the same models, and so we think that, at scale, this is the path to at least reduce costs." – @RodrigoLiang One of the most interesting parts of
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AI Use Cases: Social Trends, SEO Articles, Competitor Tracking
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The use cases go from spotting social trends & drafting posts to writing SEO articles from live data, tracking competitors, and even auditing site performance for CVR. A specialized AI manages each channel and automatically improves itself. Test it out