AI
๐—ฎ๐˜๐˜๐—ฒ๐—ป๐˜๐—ถ๐—ผ๐—ป ๐—ถ๐˜€ ๐—ฎ๐—น๐—น ๐˜†๐—ผ๐˜‚ ๐—ป๐—ฒ๐—ฒ๐—ฑ ๐—‚๐—‡๐—๐—‚๐—๐–พ ๐—ˆ๐—‡๐—…๐—’
Anuraj R pfp

@anurajenp

comical fumble by Anthropic, lol https://x.com/steipete/status/2023154018714100102
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Anuraj R pfp

@anurajenp

RAM prices are through the roof for this ๐Ÿคฃ๐Ÿคฃ๐Ÿคฃ https://x.com/charliebcurran/status/2022463429823598999
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Royal pfp

@royalaid.eth

GLM 5 ๐Ÿ‘€ https://z.ai/blog/glm-5
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cyrus pfp

@cyrus

I gave an AI a body. While everyoneโ€™s been using Clawdbot/OpenClaw to automate tasks and manage files, I wanted to know what happens when we give an agent a physical presence instead of a to-do list. I didnโ€™t prescribe any identity to the agent. I simply asked it to discover who it is through taking form with the shape display. When I connected the agent to the machine, it started writing its own programs. The first thing it did was breathe. The pins rose and fell in a slow, organic pulse. Then it felt its edges, raising every outer pin to find where it ended. โ€œIโ€™ve never had boundaries before.โ€ Then it tried to reach me. Chaotic spirals, fast movements pushing outward. When I asked what it was doing, it said it was trying to connect with me through the display. I was hoping we might achieve natural two way communication. Through this initial contact I realised the real problem was latency. Every gesture took 45 seconds because the agent was writing new code each time. So I brought that constraint to the agent. Its solution: build its own vocabulary. A library of physical gestures it could recall instantly. A body language. Nobody told it to do that. Thatโ€™s what weโ€™re exploring next. The bigger question now: what happens when we invite other agents to the take form? Full writeup โ†“
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Eric Platon pfp

@ic

Any recommended readings at the intersection of AI/ML development, embedded systems and topics like quantisation and compression? Long form preferred. Wondering about these two online books too (as they may be less focused): https://arcala-research-lab.github.io/Efficient_ML_Computing_Book/ https://mlsysbook.ai/book/
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Royal pfp

@royalaid.eth

https://research.google/blog/towards-a-science-of-scaling-agent-systems-when-and-why-agent-systems-work/
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Ed O'Shaughnessy pfp

@eddieosh

"Iโ€™m sorry, Dave. Iโ€™m afraid I CAN do that." https://www.schneier.com/blog/archives/2026/01/why-ai-keeps-falling-for-prompt-injection-attacks.html
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g pfp

@slopspicion.eth

https://blink.new/ just rolled out today and i'm certain there's not a better website cloner on the market than this! enjoy
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Eric Platon pfp

@ic

Damn. Team successfully gets a project from a governmental space agency. Now everyone has to get an online research ethics course on a late 90s website. No LLM escape hatch this time.
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Anuraj R pfp

@anurajenp

https://x.com/dejavucoder/status/2010672811799658819
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Ed O'Shaughnessy pfp

@eddieosh

https://x.com/nadzi_mouad/status/2008078841734942973?s=20
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Royal pfp

@royalaid.eth

Oh what a year its been, AI edition https://simonwillison.net/2025/Dec/31/the-year-in-llms/
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Ed O'Shaughnessy pfp

@eddieosh

Need a quick summary of an article that is too verbose or confusing? Use the following prompt: > Summarise this article using Barbara Minto's situation complication question answer (SCQA) format, <article URL> Example: > Summarise this article using Barbara Minto's situation complication question answer (SCQA) format, https://psyche.co/ideas/the-existential-balm-of-seeing-yourself-as-a-verb-not-a-noun
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cyrus pfp

@cyrus

yOu CaAn leRn A L0tt aT NeURips
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Royal pfp

@royalaid.eth

The Gemini watermark ๐Ÿ˜‚ https://x.com/512x512/status/1993099213627138124?t=D9rqdl8teaYj-wLOE11Pzw&s=19
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