Kushal Lakhotia
@hikushalhere
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Still learning. Views are personal; Retweets are not endorsements; Likes are bookmarks. #cs #ml #politics #whisky
Joined April 2010
Click-bait lives on!.
Has a single (subcontinent) Indian ever accomplished anything of truly major note in the modern period, in any field? I can't think of one. Nor can Grok. Seems odd, given there are 1.5 billion of them, and we're told we need to accept endless waves of them for their "talent.".
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RT @kaggle: 🚀 Kaggle Benchmarks is here! Get competition-grade rigor for AI model evaluation. Let Kaggle handle infrastructure while you f….
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So, super-intelligence is the next frontier. Just wondering if we call AGI a solved problem. While we are at it, is AGI well-defined now?.
The race toward superintelligence is easily the most important in tech history. The flywheel of more data, compute, and model usage means there are compounding returns for the players that get there soonest.
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Either most people are not willing to share information or they don't truly understand the areas they claim to understand. It's very hard to have deep discussions.
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Lol, "this was Greg Brockman's idea".
"Member of the technical staff" is the hottest job title in SF right now. What's behind the name?. @OpenAI chose this title deliberately to blow up the previous industry dichotomy between researchers and engineers. The best researchers in AI right now aren't academics in a pure
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Perplexity is the shining example of what can be done at the product layer. An impressive negative example against the argument "the model is the product".
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RT @percyliang: We ran Llama 4 Maverick through some HELM benchmarks. It is 1st on HELM capabilities (MMLU-Pro, GPQA, IFEval, WildBench, Om….
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What makes a model a thinking model? Defining a token budget is a way but it's not specific enough. Are there other fundamental characteristics? Pointers to papers, blogs are welcome.
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Do people not realize that Gemini 2.5 Pro is a thinking/reasoning model?
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RT @ArtificialAnlys: Llama 4 Intelligence Index Update: We have now replicated Meta’s claimed values for MMLU Pro and GPQA Diamond, pushing….
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RT @ClementDelangue: The beauty of open-source is that you create more transparency & we can fix misunderstanding super quickly which seems….
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RT @jefrankle: You're being unfair in a few ways. I disagree that:. 1. "The soul of the Llama series died by not releasing enough models fr….
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RT @Ahmad_Al_Dahle: We're glad to start getting Llama 4 in all your hands. We're already hearing lots of great results people are getting w….
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RT @vllm_project: vLLM v0.8.3 now supports @AIatMeta's latest Llama 4 Scout and Maverick. We see these open source models as a major step f….
blog.vllm.ai
We’re excited to announce that vLLM now supports the Llama 4 herd of models: Scout (17B-16E) and Maverick (17B-128E). You can run these powerful long-context, natively multi-modal (up to 8-10 images...
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Llama 4 is here!. Excited to share Llama 4 models built on Mixture of Experts (MoE) architecture and natively multi-modal. Best-in-class across all 3 model lines. Start Here: Read Here: Try Here:
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Dear @Intuit, you had a somewhat working app with @mint but you replaced it with @creditkarma, such a bad app!.
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