Shahab Mousavi

42 posts

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Shahab Mousavi

Shahab Mousavi

@ssmousav

Working on AI applications to real-world problems | PhD @Stanford

Stanford, CA Katılım Mayıs 2020
1.3K Takip Edilen142 Takipçiler
Shahab Mousavi retweetledi
Brian Halligan
Brian Halligan@bhalligan·
Sasan, the CEO of Intuit grew their market cap from $50billion to $180billion.  Learnings on: 1. How to scale a 2nd channel w partners (90% of rev's) 2. Scaling the sh-t out of SMB 3. The downside of analytics in product management 4. My favorite CEO question 5. How to keep the coal face on the customer as you scale. 6. Why shadowing is better than mentoring 7. A case study in 2nd acts -- app to platform 8. Sasan's #1 hiring criteria 9. What non-founder scaleup CEOs have in common. If you want the 3 minute tl;dr, it is 43minutes in.
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Thinking Machines
Thinking Machines@thinkymachines·
Introducing Tinker: a flexible API for fine-tuning language models. Write training loops in Python on your laptop; we'll run them on distributed GPUs. Private beta starts today. We can't wait to see what researchers and developers build with cutting-edge open models! thinkingmachines.ai/tinker
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Liyuan Liu (Lucas)
Liyuan Liu (Lucas)@LiyuanLucas·
Personal update! After 3.5 incredible years at the deep learning group @MSFTResearch, I've officially joined @thinkymachines Huge thanks to my friends and mentors at MSR, and to everyone who supported my search. I'll be at #NeurIPS2025—I'd love to meet up and say hello! 👋
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Shahab Mousavi
Shahab Mousavi@ssmousav·
Great talk by @JeffDean at @Stanford last week, highly recommend checking it out for those interested in staying up to date with AI trends -- many thanks to the @stanfordaiclub for organizing it and making it publicly available beyond Stanford too! 👏
Stanford AI Club@stanfordaiclub

Checkout @JeffDean's (Chief Scientist, Google DeepMind) talk on Important AI Trends (11/20). Thanks Jeff for an insightful talk! Posted on our Youtube: youtube.com/watch?v=AnTw_t…

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adam bain
adam bain@adambain·
Models need to train on environments that replicate the real world. No one does that better than @micro1_ai. To give you a better understanding of what today’s launch is: Micro1 Intelligence is a catalog that the big AI Labs can explore, choose which domain they want to improve their models on, and then connect to Micro1’s platform/data to improve them. This type of Reinforcement Learning environment (think: filling out tax forms, multi-step software engineering workflows, enterprise legal negotiations, etc) will drive the next rev of improvements in foundational models. Awesome launch today @micro1_ai team!
Ali Ansari@aliansarinik

Today I’m excited to introduce micro1 Intelligence, the world’s most advanced platform for training frontier AI models. Achieving AGI is bottlenecked by one main thing: high-quality data. Data based on real-world environments that capture human expert workflows, complex decision-making, and reward signals models need to learn. With micro1 Intelligence, frontier labs can train on RL environments across every subject matter all in one place.

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Ali Ansari
Ali Ansari@aliansarinik·
Today I’m excited to introduce micro1 Intelligence, the world’s most advanced platform for training frontier AI models. Achieving AGI is bottlenecked by one main thing: high-quality data. Data based on real-world environments that capture human expert workflows, complex decision-making, and reward signals models need to learn. With micro1 Intelligence, frontier labs can train on RL environments across every subject matter all in one place.
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Shahab Mousavi
Shahab Mousavi@ssmousav·
Proud of you @aliniikk and the whole @micro1_ai team 👏🎉
Ali Ansari@aliansarinik

I’m excited to announce micro1 has raised a $35M Series A, valuing us at $500M. This round was led by 01A with @adambain joining our board of directors. We’re grateful to be partnering with leading AI Labs & fortune 10s, such as Microsoft, to train frontier LLMs. We’re just getting started building the infrastructure layer for AGI, with the ultimate goal of answering the very fundamental question: “where should humanity spend its time?”

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Ali Ansari
Ali Ansari@aliansarinik·
I’m excited to announce micro1 has raised a $35M Series A, valuing us at $500M. This round was led by 01A with @adambain joining our board of directors. We’re grateful to be partnering with leading AI Labs & fortune 10s, such as Microsoft, to train frontier LLMs. We’re just getting started building the infrastructure layer for AGI, with the ultimate goal of answering the very fundamental question: “where should humanity spend its time?”
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Shahab Mousavi
Shahab Mousavi@ssmousav·
@lateinteraction Congratulations, well-deserved indeed 👏 Looking forward to hearing of all the great work you & your lab will be doing at @MITEECS
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Omar Khattab
Omar Khattab@lateinteraction·
I'm excited to share that I will be joining MIT EECS as an assistant professor in Fall 2025! I'll be recruiting PhD students from the December 2024 application pool. Indicate interest if you'd like to work with me on NLP, IR, or ML Systems! Stay tuned for more about my new lab.
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Shahab Mousavi retweetledi
Andrej Karpathy
Andrej Karpathy@karpathy·
Huge day indeed for AI and LLMs, congrats to Meta 👏 This is now the most capable LLM available directly as weights to anyone from researchers to companies. The models look quite strong, e.g. Table 4 in the paper: MMLU is good to look at, the 70B model is just below GPT-3.5. But HumanEval (bad misnomer) shows coding capability is quite a bit lower (48.1 vs 29.9).
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Yann LeCun@ylecun

This is huge: Llama-v2 is open source, with a license that authorizes commercial use! This is going to change the landscape of the LLM market. Llama-v2 is available on Microsoft Azure and will be available on AWS, Hugging Face and other providers Pretrained and fine-tuned models are available with 7B, 13B and 70B parameters. Llama-2 website: ai.meta.com/llama/ Llama-2 paper: ai.meta.com/research/publi… A number of personalities from industry and academia have endorsed our open source approach: about.fb.com/news/2023/07/l…

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Sharon Zhou
Sharon Zhou@realSharonZhou·
I never really told this story, but my plan was to drop out of my @Stanford PhD to start a company. Like Larry & Sergey did for Google. But I got so enamored by the magic of generative AI, even back when it was outputting 💩, that the joke was I *failed to drop out*. I've now started a company with an incredible team! It's to spread this magic and enable other companies to build their own generative AI with their engineering teams. We're still in stealth, but if you look closely you might find something ;) Thanks for the podcast, TensorFlow and Google! sites.libsyn.com/464853/website…
TensorFlow@TensorFlow

🫱🏿‍🫲🏽Meet Sharon Zhou, our special guest this week discussing the power and interconnectedness of language as we dive into generative AI models, stable diffusion, large language models, and more ⬇️

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Emergence@Stanford
Emergence@Stanford@StanfordEmerge·
We had a great time hosting Srikant Vasan (@SrikantVasan), managing partner of Avesta Capital, for a fireside chat to learn of his mission to support seed-stage startups that help fight climate change & inequality by bridging tech & impact goals. Video:👇 youtu.be/QrhKcA39wss
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Emergence@Stanford
Emergence@Stanford@StanfordEmerge·
It was a pleasure to host Krista Donaldson (@kmd_drev), CEO of @EqualizeHealth, to hear of her story & the lessons learned along the way as a socially-conscious and design-driven tech entrepreneur closing health inequities in developing countries. Video:👇 youtu.be/7o7glBAkKYE
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Pejman Nozad
Pejman Nozad@pejmannozad·
Seventeen years ago I met @keyvanm when he was a PhD student at @Stanford. He told me one day we speak to our cars, our phones,etc. and he is building @SoundHoundApp to realize that dream. Today Soundhound went public!
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