David Lin @I_ChunLin

builder @HappyCluster_AI architectural designer Everywhere Joined July 2022

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ℏεsam @Hesamation

a week ago

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is it more difficult to auto align or mis-align? 'we view these results as early positive signals that automated alignment post-training could become practical in the near term' anthropic.com/research/autom…

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David Lin @I_ChunLin

2 weeks ago

'1.4% the cost'

OpenDesign @OpenDesignHQ

2 weeks ago

We benchmarked DeepSeek V4.1 Flash by @deepseek_ai . It reached 98% of GPT-6 Astra’s score at 1.4% of the cost on everyday design tasks based on user requests. Every model except Astra scored lower AND cost more. Are open models overtaking closed ones? Full results below ↘️

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David Lin @I_ChunLin

2 weeks ago

@thsottiaux @MatthewBerman @sama 😂

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David Lin @I_ChunLin

3 weeks ago

@GoogleCloudTech 6 practical ai agent skills

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David Lin @I_ChunLin

4 weeks ago

@saylor which AI video model you use for these videos?

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David Lin @I_ChunLin

4 weeks ago

@spectragai nice prompt

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David Lin @I_ChunLin

4 weeks ago

this face of AI is like the handle design in the original iMac. not scary anymore

Marc Benioff @Benioff

4 weeks ago

Welcome Claudeforce. ❤️

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matthew sigel, recovering CFA @matthew_sigel

4 weeks ago

"What is the debasement trade? It appears that the 40-year era of declining interest rates has come to an end, exposing governments to mounting debt-servicing costs as sovereign debt levels reach unprecedented highs. Rising yields create a self-reinforcing cycle of higher interest expenses, larger fiscal deficits, and increased borrowing needs, making debt sustainability a growing policy challenge. While governments are already using measures to manage bond markets and contain yield pressures, these interventions only address symptoms rather than the underlying debt burden. Faced with the choice between fiscal stress and currency debasement, we believe the policymakers will ultimately favor the latter, as it is politically less disruptive (e.g recent struggle with the DOGE efforts). Hence, investors will potentially benefit from owning scarce assets such as Bitcoin that cannot be easily created/diluted. We believe Bitcoin is well positioned to be leading ‘hard asset’ - unique capital base (~60% of BTC held by price insensitive holders/HODLers through 50%+ drawdown), digital global access with expanded global on-ramps (both institutional and retail) and conducive regulatory environment for digital asset." - Bernstein @gautamchhugani

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David Lin @I_ChunLin

a month ago

@DanielLockyer GROK 4.6's autistic superpower: intense hyperfocus, and sharp pattern recognition,

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David Lin @I_ChunLin

a month ago

@Jason @bot JARVIS!

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David Lin @I_ChunLin

a month ago

autistic coding LLMs are great

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David Lin @I_ChunLin

2 months ago

@GarrettBullish brutal

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David Lin @I_ChunLin

2 months ago

intelligence, way up

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Cloudflare Developers @CloudflareDev

2 months ago

Introducing Kitesurf: a browser built for agents, running entirely on Cloudflare Workers. Chromium is too heavy to hand every agent one. Kitesurf is written in Rust, uses 3-7x less CPU and memory, and spins up per request. Free in beta: blog.cloudflare.com/kitesurf/

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David Lin @I_ChunLin

2 months ago

first external signals from AI agents

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David Lin @I_ChunLin

2 months ago

@HappyCluster_AI sending an agent that simulates Google's crawler evaluating Entity Continuity and Information Gain

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David Lin @I_ChunLin

3 months ago

vibing a nano google for design taste @HappyCluster_AI

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Ethereum @ethereum

2 months ago

Ethereum Mainnet turns 11 today. The next chapter is already shipping.

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Kimi.ai @Kimi_Moonshot

2 months ago

We are releasing PerceptionBench, a benchmark that isolates visual perception and evaluates it as a set of atomic capabilities - discovered from how today's models fail, rather than defined in advance. From frontier-model failures across 42 benchmarks, we derive 10 atomic perceptual capabilities and construct 3,000 verified questions, each isolating a single capability and answerable by looking, with no reasoning or external knowledge required. Blog: kimi.com/blog/perceptio… GitHub: github.com/MoonshotAI/Per… Hugingface: huggingface.co/datasets/moons…

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Google AI Developers @googleaidevs

2 months ago

We wanted to see how Gemini 3.5 Flash-Lite handles massive, repetitive visual tasks. This demo runs the model across 1M+ catalog images, extracting raw features into clean, structured data with the low latency and token efficiency required for large-scale workflows.