Vigneshwarar

1.1K posts

Vigneshwarar

@Vignesh_warar

building something new few tools i built: https://t.co/FTdu3eBnB3 https://t.co/jWVtRrMXYl and 10+ dead ones

Paris, France Katılım Ağustos 2012

784 Takip Edilen675 Takipçiler

Vigneshwarar@Vignesh_warar·6d

given the success of pretext, maybe i should've open-sourced the custom markdown reader i built, i thought it was a lame idea. 🤦

Vigneshwarar@Vignesh_warar

AI explanations + visualization tightly integrated. Understand complex concepts intuitively, in minutes. Can't wait to ship

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Vigneshwarar@Vignesh_warar·20 Mar

Sonnet ??

Sen. Bernie Sanders@SenSanders

I spoke to Anthropic’s AI agent Claude about AI collecting massive amounts of personal data and how that information is being used to violate our privacy rights. What an AI agent says about the dangers of AI is shocking and should wake us up.

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Vigneshwarar retweetledi

Beff (e/acc)@beffjezos·18 Mar

It makes no sense to run probabilistic software on deterministic digital computers

Hoops@Hoopss

What opinion will get you in this position?

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Vigneshwarar@Vignesh_warar·19 Mar

it would be cool (or dumb) when an agent can send messages to another running agent, like “hey, what do you think? you worked on this?”

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Vigneshwarar@Vignesh_warar·18 Mar

being kind to future llm overlords

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Vigneshwarar@Vignesh_warar·4 Mar

Gemini 3.1 cooked with the interactive visualization

Bo Wang@BoWang87

Prof. Donald Knuth opened his new paper with "Shock! Shock!" Claude Opus 4.6 had just solved an open problem he'd been working on for weeks — a graph decomposition conjecture from The Art of Computer Programming. He named the paper "Claude's Cycles." 31 explorations. ~1 hour. Knuth read the output, wrote the formal proof, and closed with: "It seems I'll have to revise my opinions about generative AI one of these days." The man who wrote the bible of computer science just said that. In a paper named after an AI. Paper: cs.stanford.edu/~knuth/papers/…

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Mike Knoop@mikeknoop·9 Oca

More evidence of real world impact correlated with progress on ARC v2 in Nov/Dec 2025: "This is a demonstration of the genuine increase in capability of these tools in recent months"

Chubby♨️@kimmonismus

Terence Tao confirms: For the first time, an LLM (GPT-5.2 pro) has successfully solved an Erdos problem on its own. This makes me really excited for GPT-5.3 pro. Science is gaining momentum, and the breakthroughs are becoming more significant.

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Vigneshwarar@Vignesh_warar·29 Eyl

give my old ui back

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Vigneshwarar@Vignesh_warar·2 Eyl

@HanaeMaatella 🔥

QME

Hanae Maatella@HanaeMaatella·2 Eyl

I built Nvidia's earnings slide with a single prompt. No more manual reformatting. documentfactory.app just clones the template design with new data.

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Shuangfei Zhai@zhaisf·26 Ağu

ReLU is essentially an element wise MoE with shared router and expert weights: y= I(w^Tx >= 0^Tx) w^Tx + I(w^Tx < 0^Tx) 0^Tx, where the two experts are parameterized by the w and 0 (zero) vectors. And then you only need to train the expert weights and router just follows along.

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Vigneshwarar@Vignesh_warar·19 Ağu

@HanaeMaatella 🔥 congrats!

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Hanae Maatella@HanaeMaatella·19 Ağu

Launching today Document Factory ! An app that automates PowerPoint template filling. If you work in consulting or finance, you know the drill. Same templates, different data, endless manual formatting. Get properly formatted slides in seconds with documentfactory.app

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Vigneshwarar@Vignesh_warar·10 Ağu

AI explanations + visualization tightly integrated. Understand complex concepts intuitively, in minutes. Can't wait to ship

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Guangxuan Xiao@Guangxuan_Xiao·8 Ağu

I've written the full story of Attention Sinks — a technical deep-dive into how the mechanism was developed and how our research ended up being used in OpenAI's new OSS models. For those interested in the details: hanlab.mit.edu/blog/streaming…

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Amjad Masad@amasad·8 Ağu

Can’t help but feel the crushing weight of diminishing returns. We need a new S curve.

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Vigneshwarar@Vignesh_warar·8 Ağu

not phd level, more like college dropout.

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Vigneshwarar@Vignesh_warar·8 Ağu

alright my conclusion for gpt5: for known programming tasks with high difficulty, it works great, it is a beast. but the moment gpt5 faces novel tasks not in the training set, it fumbles. i thought this model would be first to solve tasks requiring novel solutions.

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Vigneshwarar@Vignesh_warar·7 Ağu

OK, it is a bit underwhelming after playing around for a while.

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