Business Platform Architect for Datastax, Sitecore, Salesforce, Spark. CEO @AnantCorp Past @AvanadeNews @Georgetown @MerrillLynch Site: https://xitter.cf/t.co/ut2U70mHQq

Washington, DC
Joined May 2008
Rahul Xavier Singh retweeted
Build your own harness, folks. This is absolute banger paper from NVIDIA on self-evolving agent harnesses. (bookmark it) They introduce SoL-Pi which cuts token traffic by nearly half. And it matches its baseline harness on GPT-5.6 Sol and Opus 5. More details below: Instead of tuning a harness by hand, they run auto-research loops at the harness layer across many repository-derived and verifier-driven environments, keeping only the mechanisms that survive selection. Four mechanisms survived: > Action Fusion changes how actions execute > Online Context Compact handles compaction during a run > ObservationPack reshapes observation handling > Evidence-Preserving Reducer covers delegated reading On the 51-task EdgeBench evaluation, the savings translate to about a third off API cost. In dollars that is an estimated $8.75 to $13.50 per hour against native Codex and Claude Code harnesses, and $4.36 to $5.71 against the baseline harness. Because the search runs across many environments rather than one, the retained mechanisms keep working outside the setting that produced them. Code is on GitHub under NVlabs. Paper: arxiv.org/abs/2609.20519 Chat with Paper: academy.dair.ai/papers/sol-p…
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President Trump and President Xi could make a deal that ends the AI race before AI ends us. It would be the most win-win deal of all time. A Nobel Prize-worthy achievement. Sign and share to show your support: TrumpXiDeal.ai.
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Primary reason for open source models. I believe open models will be everywhere. Next gen telecom will have it in the cell towers (6G+). Beyond that in everyone’s homes and cars, phones. Open is the only way. #opensource #intelcraft #ai #design
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First time video direct upload to X. Wonder if it will let me edit before I post it. Would be a cool feature .. But no Worries, I don't think anyone else edited what they say here #intelcraft Https://lu.ma/intelcraft
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I made the first version of this app on @Replit and 100% on my iPhone, and Amazon Fire Max
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Rahul Xavier Singh retweeted
Very excited to publish today our first AI Storytelling Market Map Q3 2025, which represents our current understanding of what are the key players and tools that are being used for creative production and storytelling. The framework we've used to organize the tools is built on our IRL events we've done with new and experienced filmmakers and artists in the AI storytelling space. Please let me know if we're missing in this and we're happy to add in our next round. cc @MachineCinemaAI
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Anyone else seeing stereotypes and bias in @metaai image generator. I wasn’t hunting for it but I found it in both the web ui and the WhatsApp app. reddit.com/r/artificial/s/fv…
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Code generation is the most likely use case to test AI/AGI alignment. Because it can be tested.
Today we’re releasing Code Llama 70B: a new, more performant version of our LLM for code generation — available under the same license as previous Code Llama models. Download the models ➡️ bit.ly/3Oil6bQ • CodeLlama-70B • CodeLlama-70B-Python • CodeLlama-70B-Instruct
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Intelcraft n. the craft of creating intelligence (computing) v. to design, architect, and engineer intelligent structures and processes (computing) Architect n. master builder v. design or create (computing) Preview of some stuff we’re about to put out there. Get ready to IC
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Rahul Xavier Singh retweeted
It's been a big week for Haystack integrations. The @DataStax Astra DB extension is now live! Astra DB makes vector search a breeze. It supports many embedding models and vector sizes, even within the same database. And it's free to try. Learn how to use the extension so Astra can power your Haystack pipelines in @annthurium 's blog 💙 haystack.deepset.ai/blog/ast…
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A very meaningful 48 hours spent with the @cassandra / @PlanetCassandra and the AI.dev @linuxfoundation community. Shout out to @PatrickMcFadin for helping bringing it all together. @erickramirezau @jeromatron Alan Ho and Wei Deng
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Rahul Xavier Singh retweeted
It was wonderful to see so many #ApacheCassandra community members at #CassandraSummit this week! It's the people that make this community awesome.
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Building an Infinitely Smart AI: Powered by the World’s Largest Scalable Database: Apache Cassandra (pt1): Read on: bit.ly/llmcassandra1 #llm #langchain #llamaindex #semantickernel #GPT And also join me at: https://llmbootcamp (Code: ANANT50)
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I've got an update for the #NoCode #Data and #AI #LLM #Bootcamp in the #SanFrancisco #BayArea later this month. I have a discount code for you all ANANT50 to get a 50% discount. If you are a student or work for a non profit, DM me for a deeper discount. bit.ly/llmbootcamp
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Intro to #LLM for Data & Software Engineers. What are the useful LLM's to consider, what are the main patterns in LLM engineering / retrieval augmented generation, and what frameworks to use and why. @langchain @gpt_index @OpenAI #python #data #API youtube.com/watch?v=1mMVzLG2…
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Kono Episode #3 - Automate Job / Business with #ChatGPT - Fundamentals of #LLM/#GPT & Taming LLMs. Learn WTF is the big deal with LLM, specially GPT, and what other options are there: e.g. @CohereAI @AnthropicAI @StabilityAI @awscloud @Azure @OpenAI meetup.com/business-platform…
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Do you remember when you joined Twitter? I do! #MyTwitterAnniversary
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Bootcamp to create apps with LLMs. Anyone can start with software or data engineering skills, or NoCode tools. Learn about LLM fundamentals, patterns, and stacks, and build your own ChatBot. DM for details! #nocode #llm #bootcamp #bubble #make #openai #GPT kono.io/bootcamp/
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Rahul Xavier Singh retweeted
I am very excited to announce I have been successful in installing and operating a full ChatGPT knowledge set and interface fully trained on my local computer and it needs no Internet once installed. There are no editors and there is no censorship. I am using Alpaca (crfm.stanford.edu/2023/03/13…) from Stanford and Dalai Lama. The training model cost about $530 to build locally yet has the abilities of GPT 3.5. The software is free and open source and I am working on preconfigured packages for anyone to have local training and access to a LLM GPT AI. This model is now in a live connect with all of my other AI systems and the results have been absolutely stunning. I will be writing more about this soon. But today know, you will own your own AI and it will only answer to you.
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