The Growing Alphabet of #AI Chips Explained
by @antgrasso #ArtificialIntelligence #Innovation #EmergingTech
TECHNOLOGY
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The Growing Alphabet of AI Chips Explained
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Small specialized models will beat frontier intelligence
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Frontier intelligence will be beaten by small and specialized models
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Ren Ito article: AI competition beyond the G2
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An article written by Ren Ito, cofounder and president of Sakana AI, was published in the Nihon Keizai Shimbun. AI competition is not limited to a G2 (US-China bipolarity), but is evolving into a
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A new category is born: The Software Factory in AI age
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A new category is born: The Software Factory
— Nathan Lands (@NathanLands) 16 juin 2026
You're going to be hearing that term a lot in the future. It perfectly captures how software development is different in the age of AI.
Very bullish on @matanSF, @EnoReyes, @francesca_lab, and the team. https://t.co/TiE9clr2bPA new category is born: The Software Factory You're going to be hearing that term a lot in the future. It perfectly captures how software development is different in the age of AI. Very bullish on @matanSF
, @EnoReyes
, @francesca_lab
, and the team. -
Codex supports Chrome DevTools protocol for inspecting and modifying websites
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OPENAI 🔥: Codex now supports Chrome DevTools Protocol for browser use. This is a huge superpower that will allow Codex to inspect and modify any website.
— 🚨 AI News | TestingCatalog (@testingcatalog) 16 juin 2026
It is still a very early implementation, but I bet that in several years this will be a default browser capability. If… pic.twitter.com/mvLpRwnUXIOPENAI: Codex now supports the Chrome DevTools protocol for use in the browser. This is a considerable superpower that will allow Codex to inspect and modify any website. This is still a very early implementation, but
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Disaggregated Inference: GPU for Prefill, RDU for Decode
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AI agents spend their time doing two very different jobs: understanding context and generating responses.
— SambaNova (@SambaNovaAI) 15 juin 2026
Disaggregated inference sends each stage to the hardware best built for it.
GPUs for prefill. RDUs for decode. Better performance from both. ⚡ pic.twitter.com/KFXRdUBLWxAI agents spend their time performing two very different tasks: understanding context and generating responses. Disaggregated inference sends each step to the hardware best suited for that task. GPU for prefill. RDU for decode. Better.
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Cursor accounted for 40-50% of Anthropic revenue early on
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Holy, in its early days, Cursor accounted for roughly 40% to 50% of Anthropic's revenue. And Claude Code was just a reserach project. How quickly everything has changed.
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Frontier computer-use agent fails on 21 of 25 electrical engineering tasks
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New research: we partnered with @francedot and @ddupont808 at @trycua to stress-test a frontier computer-use agent on real electrical engineering tasks.
— Snorkel AI (@SnorkelAI) 15 juin 2026
25 expert-authored KiCad tasks. 4 passed. 0 build-from-scratch tasks succeeded.
The failure modes are concrete and they point… https://t.co/qHDpHC4jFFNew research: we partnered with @francedot and @ddupont808 at @trycua to stress-test a frontier computer-use agent on real electrical engineering tasks. 25 expert-authored KiCad tasks. 4 passed. 0 build-from-scratch tasks succeeded. The failure modes are concrete and they point
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Voice control agent builds concept, cast, storyboards, and shots
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Use voice control (very beta), or simply type to have the agent build everything from concept, to cast, to storyboards and generations.
— Pika (@pika_labs) 15 juin 2026
Shots are generated directly from approved boards, and automatically placed in both your timeline and your asset library.
Editing happens via… pic.twitter.com/1JtzZJKLklUse voice control (very beta), or simply type to have the agent build everything from concept, to cast, to storyboards and generations. Shots are generated directly from approved boards, and automatically placed in both your timeline and your asset library. Editing happens via
