Jaskaran Singh @jasksing

Humanity is Awesome! | Engineer Joined June 2021

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Ritu Joon @ritujoon2j

a day ago

- Joined early Google (2000) - Rewrote Google spell-check engine - Built first Google Calculator - Optimized core AdWords algorithms - Pioneered Mixture of Experts - Co-invented the Transformer (2017) - Created multi-head attention mechanism - Built Meena and LaMDA - Quit Google over chatbot restrictions - Co-founded breakout Character.AI - Rehired by google via $2.7B licensing deal - Returned to co-lead Gemini - Now joined OpenAI(2026)

Noam Shazeer @NoamShazeer

a day ago

I’m excited to share that I’ll be joining OpenAI and look forward to working with the exceptional team there. It was a difficult decision to move on. I’m incredibly proud of the amazing team at Google and everything we’ve built together. It has been an honor and a pleasure to

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Jaskaran Singh @jasksing

4 days ago

@paraschopra Here intelligence of the humanity should be count, not individual, as in you innovate by standing on the shoulders of giant. I guess next Einstein might require a good population scale.

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Jaskaran Singh @jasksing

5 days ago

New Delhi when?

SemiAnalysis @SemiAnalysis_

5 days ago

SITUATION DETECTED: The city of Rio de Janerio has post-trained a model. Based on Qwen 7/2, Rio 3.5 Open 397B adds SwiReasoning on top of the base Qwen model — a framework that dynamically switches between standard chain-of-thought and latent-space reasoning, guided by

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Jaskaran Singh @jasksing

6 days ago

Not having soverign LLMs, will repeat history. The countries that adopted the Industrialization first in the 1900s, exploited the whole world who were late. Soverign LLMs - does not mean simply fine-tuning on open LLMs, but having access to the whole recipe reproducible.

Harveen Singh Chadha @HarveenChadha

6 days ago

I wish I could do a podcast with people who were against building frontier models on why they didn't foresee this coming

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Jaskaran Singh @jasksing

7 days ago

@erogol I think he meant less data for a particular problem. Like learning to drive in less than 18 hours (training data).

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Gaurav Aggarwal @fooobar

a week ago

If there was ever any doubt, we cannot afford to not have our own models that compete with the best - never too late!

SemiAnalysis @SemiAnalysis_

a week ago

BREAKING NEWS: Anthropic's latest model will NOT help you if it thinks your ML research/ML engineering is interesting, and/or will secretly degrade its IQ so that the average engineer won't notice. We are already seeing Anthropic's latest model's moderation filters our GPU

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Jaskaran Singh @jasksing

a week ago

@xwang_lk Diffusion

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Jaskaran Singh @jasksing

a week ago

@uvyie @shaashvats30 @agrawalmanindra If you assume the dist p1-p2 of mean 0 ( same skills of student) with some variance of like 20 (p1 could be easier than p2) And now apply chebyshevs on it.

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Siddhartha Saxena @siddsax

2 weeks ago

Michael Scott, the most qualified person to judge Claude vs Codex, has entered the chat.

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Jaskaran Singh @jasksing

2 weeks ago

@drummatick TTS or STT?

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Jaskaran Singh @jasksing

2 weeks ago

@ishowspeedsui

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Jaskaran Singh @jasksing

3 weeks ago

Amazing!

Dongmin Park @dongmin_park11

3 weeks ago

Raon-OpenTTS paper is finally out! We fully open-sourced 615K hours of TTS data and a 1B model competitive with Qwen3-TTS-1B and Voxtral-TTS-4B. Like DCLM and DataComp, our work closed the gap towards SOTA closed-data models in TTS, which will help push the TTS community forward!

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Jaskaran Singh @jasksing

3 weeks ago

@piersonmarks @GeminiApp @ElevenLabs @JellypodAI Same!

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Siddhartha Saxena @siddsax

4 weeks ago

Anthropic onboarding day: Michael Scott introducing Karpathy like he just signed Wemby in free agency.

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Jaskaran Singh @jasksing

a month ago

The space of AI is becoming gamma contractive

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Jaskaran Singh @jasksing

a month ago

@ID_AA_Carmack This is the content I want!

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Jaskaran Singh @jasksing

a month ago

@annanay tmux new -s omnara

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Jaskaran Singh @jasksing

a month ago

@HarshalsinghCN Pretty good, now try qwen-tts and voxcpm2

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Jaskaran Singh @jasksing

a month ago

@championswimmer "everything" in theoretic sense should be able to express in mathematics. we just don't have maths discovered/invented for it. so currently its only an intuition too :p

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Jaynit @jaynitx

2 months ago

Terence Tao: "Previously, you needed a PhD to contribute to math research. Now a high school student can." Dwarkesh asks the world's most famous mathematician: what's your advice for someone considering a career in math, especially in light of AI progress? Tao is honest about uncertainty: "We live in a time of change. A particularly unpredictable era. Things that we've taken for granted for centuries may not hold anymore. The way we do everything... not just mathematics... will change." He admits his preference: "In many ways, I would prefer a much more boring, quiet era where things are much the same as they were 10 or 20 years ago. But one just has to embrace this. There's going to be a lot of change. The things you study... some of them may become obsolete or revolutionized. But some things will be retained." On new opportunities: "Previously, you had to go through years and years of education and get a math PhD before you could contribute to the frontier of math research. But now it's quite possible at the high school level that you could get involved in a math project and actually make a real contribution... because of all these AI tools and Lean and everything else." His advice: "There will be a lot of non-traditional opportunities to learn. You need a very adaptable mindset. There'll be worth pursuing things just for curiosity and for playing around. Still go through traditional education and learn math and science the old-fashioned way for a while... credentials will still be important. But you should also be open to very, very different ways of doing science. Some of which don't exist yet." He concludes: "It's a scary time. But also very exciting."