Another update
ParaGen Development Update: Cost Control, Performance, and a Live Marketplace Layer ParaGen is moving from core plumbing to a user-ready agent platform. This cycle focused on cost governance, GPU reliability, tighter execution views, and opening the first public agent listing,…
ParaGen Development Update: Expanding the Marketplace and Hardening Deployment This week focused on unlocking public model exploration, tightening deployment reliability, and improving visibility and control across the platform. We’re now bridging discovery with hands-on…
We’ve cooked another one of these 200+ pages practical books on model training that we love to write. This time it’s on all pretraining and post-training recipes and how to do a training project hyper parameter exploration. Closing the trilogy of: 1. Building a pretraining…
Training LLMs end to end is hard. Very excited to share our new blog (book?) that cover the full pipeline: pre-training, post-training and infra. 200+ pages of what worked, what didn’t, and how to make it run reliably huggingface.co/spaces/Hugging…
Claude for Excel Another game changing use case for Ai by @AnthropicAI. The key is putting the human before the machine. Look what happens! @Basith_AI @ParallelAIx $PAI share.google/BHtshOXFjncpjW…
Things are shaping up nicely
ParaGen Development Update: Hardening the Path to Click-to-Deploy AI Agents This week we focused on stability, observability, and control so training, deployment, and inference run smoothly end to end. Here’s what’s been happening. Platform Reliability & Control 🟢 Fixed…
This seems like a solid idea, kind of a meta transformer approach for LLMs to increase the efficency of fine tuning @Basith_AI @ParallelAIx $PAI arxiv.org/html/2501.0625…
First Nvidia now hugging face are getting into the personalised agents space. This is a very thought provoking paper @huggingface @Basith_AI @ParallelAIx $PAI huggingface.co/papers/2501.02…
Everyone’s overthinking what niche to pick But the most unique, weird, specific ideas print the biggest cash One guy I know sells video game scripts and makes more than 90% of money twitter So I built a system that finds these untapped, unpatchable niches Then scales them…
Astra is an application layer for what we're building here at parallel. Check em out. @Basith_AI @ParallelAIx $PAI
ParallelAI 🤝 AstraAI We’re excited to team up with @AstraLabs_Inc , a fast-growing AI and Web3 ecosystem with a huge range of products, from their Stellar AI search engine and AstraDEX suite to on/off ramp banking and powerful community bots. This partnership brings a few…
I think @AIatMeta in their Artificial Super Intelligence lab is now rivalling the gold standard: @GoogleDeepMind for the best quality Ai output in the Ai industry. @Basith_AI @ParallelAIx $PAI
Meta just did the unthinkable. They figured out how to train AI agents without rewards, human demos, or supervision and it actually works better than both. It’s called 'Early Experience', and it quietly kills the two biggest pain points in agent training: → Human…
The goal is simple: Give builders the tools to launch powerful AI agents without needing a PhD or a dev team. We’re reducing complexity so ideas can scale faster. $PAI
Simply the best of the best of the graph network approach that @LangChainAI are the market leaders in @Basith_AI @ParallelAIx $PAI
🤖 Advanced Stock Research Agent A multi-agent system built with LangChain's DeepAgents that delivers professional stock analysis by combining real-time data, technical indicators, and financial examination. Check it out here 🔍 medium.com/@sagarnreddy/i…
This is a useful resource for serious people who want to build in the Ai space. Plenty of work available for the talented and tenacious. @Basith_AI @ParallelAIx $PAI
Not just AI. Not just Web3. We’re building at the intersection: ⚡️ Decentralized infra ⚡️ Parallelized compute ⚡️ Real-world APIs ⚡️ Scalable deployment One ecosystem, endless agents. This is what $PAI is all about.
This is similar in concept to the Gödel Machine from @AIatMeta's ASI lab, but fascinating either way. @Basith_AI @ParallelAIx $PAI
My brain broke when I read this paper. A tiny 7 Million parameter model just beat DeepSeek-R1, Gemini 2.5 pro, and o3-mini at reasoning on both ARG-AGI 1 and ARC-AGI 2. It's called Tiny Recursive Model (TRM) from Samsung. How can a model 10,000x smaller be smarter? Here's how…
A layered overview of key Agentic AI concepts. Let's understand it step-by-step: 1️⃣ LLMs (the foundation layer) At the core, you have LLMs like GPT, DeepSeek, etc. Core ideas: - Tokenization & inference: how text is processed by the model - Prompt engineering: designing…
This is good stuff. Seriously @Basith_AI @ParallelAIx $PAI
Google shocked the world. They solved the code security nightmare that's been killing developers for decades. DeepMind's new AI agent "Codemender" just auto-finds and fixes vulnerabilities in your code. Already shipped 72 solid fixes to major open source projects. This is…
Every major AI leap has been about accessibility. ParaGen does the same for deployment, making it possible for anyone to launch scalable agents without deep ML ops. Build ➡️ Train➡️ Deploy 🔄 Repeat
This is an innovative partnership with a company which really impressed us. @Basith_AI @ParallelAIx $PAI
ParallelAI x AI⁴ @SingulantChain is an innovative meme token on the Solana blockchain, representing a groundbreaking concept of recursive superintelligence. It symbolizes the continuous cycle of AI constructing AI, known as the Singulant Chain. With each new generation, the…
Still building @Basith_AI @ParallelAIx $PAI
ParaGen Development Update: Strengthening the Core for Click-to-Deploy AI Agents This week we tightened execution, visibility, and deployment across the stack. With real-time status, hardened auth, and Kubernetes-backed training/serving now wired in, ParaGen is edging closer to…
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