Pantelis Vafidis (@vafidisp) profile picture

AI Research Scientist @Meta GenAI. @Caltech PhD. Ex-@Instacart, @CSHL, @bccn_berlin, ECE @Auth_University. Used to be brains, now it’s LLMs

Pasadena, CA
Joined August 2020
Photo by Pantelis Vafidis (@vafidisp)Photo by Pantelis Vafidis (@vafidisp)Photo by Pantelis Vafidis (@vafidisp)Photo by Pantelis Vafidis (@vafidisp)Photo by Pantelis Vafidis (@vafidisp)Photo by Pantelis Vafidis (@vafidisp)Photo by Pantelis Vafidis (@vafidisp)Photo by Pantelis Vafidis (@vafidisp)Photo by Pantelis Vafidis (@vafidisp)
Excited to share our work on disentangled/abstract representations, to appear at #ICLR2025 (@iclr_conf)! We mathematically prove and experimentally demonstrate that multi-task learning leads to disentangled representations, and propose a unifying mechanism for generalization in brains and machines: parallel processing (🧵+paper below) Our work connects to the Platonic representation hypothesis, suggests why alignment across models/organisms can occur, and shows why transformers excel at constructing world models 🤖🚀
1
6
1
27
14,578
Pantelis Vafidis retweeted
Key to realizing Auto Research Agents that can make novel discoveries in AI is understanding and improving their exploration capabilities. To this end, we built Heuresis, a composable framework that combines coding agents with arbitrary search algorithms within a flexible loop.
2
13
5
39
7,150
Pantelis Vafidis retweeted
Today we launched @CallosumAI. We are building the infrastructure where heterogeneous chips & intelligence co-evolve to solve the world's hardest problems. Today we present our first results. Across four large problem spaces, we break SOTA and deliver orders-of-magnitude improvements in capabilities, cost and speed: 12× cheaper deep context. New web SOTA with open-source, 3x cheaper and faster. 2.4× cache speedups. 1,767× faster tool calling. This is the worst our infrastructure will ever be. We do it by co-evolving heterogeneous chips and multi-agent intelligence - workflows aware of their hardware, models aware of their task graph, kernels aware of their output constraints. An Intelligent System. callosum.com/blog/welcome-he…
9
34
3
103
114,373
Two of the most cracked ppl I’ve ever known building something that can truly make LLMs personalized. Congrats @ABhargava2000 and @witkowski_cam, excited to see where this goes!
Announcing Bread Technologies. We’re building machines that learn like humans. We raised a $5 million seed round led by Menlo Ventures and have been building in stealth for 10 months. Today, we rise 🍞
2
25
16,982
If you're at #ICLR2025, and interested in how we can guarantee true out-of-distribution generalization in neural networks (extrapolation), Aman Bhargava (@ABhargava2000) and I will be presenting our work tomorrow Saturday the 26th at 3:00-5:30pm, at Hall 3 (poster number #69) We will be happy to see you there! short presentation + slides: iclr.cc/virtual/2025/poster/…
2
11
850
Thanks for reading this far! For an in depth view of the above, I include the paper below (it’s 40 pages long!). Tldr: it worked no matter what we threw at it! And if you happen to be in Singapore for #ICLR2025, we will be presenting at poster session 6 on Saturday the 26th, 3:30-5 pm (Hall 3 + Hall 2B #69). We will be happy to see you there! arxiv.org/abs/2407.11249
1
253
Finally, huge thanks to amazing collaborator Aman Bhargava (@ABhargava2000) for recognizing the mathematical potential of this project and doing the theory part, and advisor Antonio Rangel! This project a prime example of the amplifying effect of great collaborations. Looking forward to more! Link to top:
Excited to share our work on disentangled/abstract representations, to appear at #ICLR2025 (@iclr_conf)! We mathematically prove and experimentally demonstrate that multi-task learning leads to disentangled representations, and propose a unifying mechanism for generalization in brains and machines: parallel processing (🧵+paper below) Our work connects to the Platonic representation hypothesis, suggests why alignment across models/organisms can occur, and shows why transformers excel at constructing world models 🤖🚀
1
256
Pantelis Vafidis retweeted
If AI isn’t truly open, it will fail us. We can’t close in a black box our greatest invention yet just so that a few can freely monetize. AI needs its Linux moment, and so we started working towards it. This can only succeed if we all work together! #oumi #opensource #collaboration @rsalakhu @svlevine @larry_heck @karpathy @atalwalkar @prfsanjeevarora @tsvetshop @hhexiy @sainingxie @larry_heck @AnimaAnandkumar @JunjieHu12 @georgiagkioxari @profjoeyg @pliang279 @danqi_chen @ChrisGPotts @BillMacCartney @vinodv @tur_gokhan @dilekhakkanitur @j_foerst @gingsmith23 @kahinish @jamesjoaquin @gan3sh @ethanjb @kirbywinfield @egonzdp
7
33
2
83
22,449