FireHacker
@thefirehacker
Founder-AI Researcher. Building BubblSpace & Timecapsule
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🔥1+ month of effort and first signs of success! Final Product: TimeCapsule-SLM An Open Source Deepresearch that works in browser with Qwen 3 0.6b(ollama) that has semantic understanding , provide insights & generate novel ideas . Privacy first local Deep Research. 👽…
An exciting milestone for AI in science: Our C2S-Scale 27B foundation model, built with @Yale and based on Gemma, generated a novel hypothesis about cancer cellular behavior, which scientists experimentally validated in living cells. With more preclinical and clinical tests,…
New CIFAR-10 training speed record: 94% in 1.99 seconds on one A100 Previous record: 2.59 seconds (Nov. 10th 2024) New record-holder: Algorithmic discovery engine developed by @hivergeai Changelog: - Muon: Vectorize NS iter and reduce frequency of 'normalize weights' step 1/3
What if scaling the context windows of frontier LLMs is much easier than it sounds? We’re excited to share our work on Recursive Language Models (RLMs). A new inference strategy where LLMs can decompose and recursively interact with input prompts of seemingly unbounded length,…
incredible walkthrough of verifiers, the Environments Hub, and how to navigate the modern RL era :)
ever wondered what an RLVR environment is? in 27 min I’ll show you: - what they made of - how RLVR differs from RLHF - the performance gain it gives to small models - and a walkthrough of the verifiers specs to define them. by the end you will be able to make your own 👺🦋
Tech Mahindra developing 1-trillion-parameter sovereign LLM under IndiaAI Mission By @debanganaghosh4 moneycontrol.com/news/business/…
🚨 Tech Mahindra is currently developing an indigenous LLM with 1 trillion parameters as a part of IndiaAI Mission: CEO.
Excited to release new repo: nanochat! (it's among the most unhinged I've written). Unlike my earlier similar repo nanoGPT which only covered pretraining, nanochat is a minimal, from scratch, full-stack training/inference pipeline of a simple ChatGPT clone in a single,…
Thank you PM @narendramodi for the great conversation on fostering a broader partnership between @Qualcomm and India in support of the IndiaAI and India Semiconductor Missions, as well as the transition to 6G. We are encouraged by the opportunities to develop an Indian ecosystem…
TWO BILLION RAISED with no (a deleted) product! team is beyond cracked
Today we're sharing the next phase of Reflection. We're building frontier open intelligence accessible to all. We've assembled an extraordinary AI team, built a frontier LLM training stack, and raised $2 billion. Why Open Intelligence Matters Technological and scientific…
SS Rajamouli 🫡 Wishing the maverick movie director a very happy birthday 🎂
Meet LFM2-8B-A1B by @LiquidAI_ - 8B total and 1B active params 🐘 - 5x faster on CPUs and GPUs ⚡️ - Perfect for fast, private, edge 📱/💻/🚗/🤖
Meet LFM2-8B-A1B, our first on-device Mixture-of-Experts (MoE)! 🐘 > LFM2-8B-A1B is the best on-device MoE in terms of both quality and speed. > Performance of a 3B-4B model class, with up to 5x faster inference profile on CPUs and GPUs. > Quantized variants fit comfortably on…
Alert 🚨 - You are watching one of the greatest comeback by India women's when they were 100/6 to 251/10 👏🏻 - Richa Ghosh and Sneh Rana had a brilliant partnership of 88, with Richa Ghosh's blistering 94 🔥 - What's your take 🤔 #INDvsSA
Richa Ghosh - The Greatest Finisher of Indian Women's Cricket 🇮🇳
World Cup 2025. 46.6: Ayabonga Khaka to Richa Ghosh 6 runs, India (Women) 222/7 bit.ly/INDWvSAW-WORLD… #INDvSA #CWC25 #TeamIndia
Signature of Guru Ram Das Ji found in Baba Mohan’s second Pothi (Image 1), now preserved in Pinjore, Haryana. It reads: “ਗੁਲਾਮ ਮਸਤ ਤੈਂਡਾ ਜੇਠ ਚੰਦ” (Ghulām Mast Taindā Jeth Chand), translated as - “Your humble and ecstatic servant - Jeth Chand,” denoting the young Jeth Chand’s…
#WATCH | Amritsar, Punjab | Golden Temple illuminated with colourful lights on the occasion of Guru Ram Das Jayanti
Grit. Determination. Ridiculously high level of skill. A Beth Mooney masterclass! 💯 #CWC25
1st Innings : ➡️ First 25 overs - Australia played like Pakistan ➡️ Next 25 overs - Australia played like Australia 2nd Innings : ➡️ Pakistan women's played like Pakistan men's 😆 - What's your take 😁 #AUSvPAK
Alert 🚨 - You are watching one of the greatest comeback of all time as Australia 🇦🇺 were 76/7, but at the end scored 221/9 👏🏻 - Beth Mooney and Alana King had a unbeaten partnership of 106 🔥 with Mooney's epic 💯 & King's 50 🥶 - What's your take 🤔
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