🎄⛵️ 🚵🏻‍♂️👨🏼‍💻🥽🌍⛷🗺🏝 & @atomic_bits

Joined May 2008
Peter Rigole retweeted
Stop the executions in Iran. The Islamic Republic has executed Erfan Kiani, and the world remains silent. Executions are becoming routine in Iran, and every time we turn a blind eye, we enable the next one. We must not ignore this. #ErfanKiani 💔
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If you claim to support human rights yet can’t bring yourself to show solidarity with those fighting for their liberty in Iran, you’ve revealed yourself. You don’t give a damn about people being oppressed and brutalised so long as it’s being done by the enemies of your enemies.
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Peter Rigole retweeted
Let's fine-tune OpenAI gpt-oss (100% locally):
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Peter Rigole retweeted
gpt-oss @openai is here! 🔥 > two MoEs with 21B/3.6B and 117B/5.1B total/active params, efficient reasoning models 🤯 > use & fine-tune with transformers & TRL 🛠️ > inference powered by @huggingface Inference Providers 🫡 > apache 2.0 license 💗
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In Europe, too many leaders are used to speak and say nothing. Conversations are not real because they have to be polite first instead of having content. This is why they can’t deal with what @JDVance said, simply because it is the truth. The truth is that the US Vice President made people angry in Munich by simply telling the truth, by engaging in a real conversation instead of saying what the elites want to hear. Indeed, European leaders are ignoring the will of their people, ignoring religious freedoms and not acting to halt illegal migration or protect the European values. That is not fake. Europe isn’t investing in itself. But indeed it is uncomfortable. You can’t change anything if you skip the uncomfortable facts and uncomfortable talks. When certain leaders stop being angry when facing the truth perhaps they will be ready for the change that we all need. Perhaps European leaders should have just replied honestly. No change without honest conversations. Honest conversations! Isn’t this exactly what the Munich Security Conference is for? Assita Kanko
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so the local LLM action begin. Apple is leading the pack with the MLX work that allows you to run LLM’s locally. everything points towards private personal LLM’s at the WWDC in June…
llama 3 70b beamed to my phone from my M1 Max ~7.6 tok/s with mlx. your own little gpt-4 at home
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#PyTorch goes to the Linux Foundation. This is massive for open source software! 👌🔥🎉 “As of August 2022, PyTorch was one of the five-fastest growing open source software communities in the world alongside the Linux kernel and Kubernetes.” linuxfoundation.org/blog/wel…
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Peter Rigole retweeted
I am developing and teaching a new course on 3D Vision at Berkeley this semester: CS294: Geometry and Learning for 3D Vision. It will be finished in about two weeks. I will make all the lecture slides available. It is time to close the loop between reconstruction and recognition.
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Sneak peek van een testopstelling voor het Surv-AI-llance project waar we met heel veel trots aan meewerken! Meer weten? Lees het volledige project hier: surv-ai-llance.com.
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Today we installed the camera-radar setup at Corda Campus for the Surv-AI-llance project
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Peter Rigole retweeted
Welcome to the future. Cop pulls over driverless car (because no lights?) Then Cruise goes on the lamb. (via instagram.com/tv/Cb1q-vggFn9…)
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Peter Rigole retweeted
Here’s our new computer vision system achieving state of the art results in image segmentation, without needing any labeled training data. This new model was trained on random, unlabeled data, but quickly achieved state-of-the-art results. It’s awesome.
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Peter Rigole retweeted
Reconstructing the 3D world from 2D video requires monocular depth estimation and video panoptic segmentation, but they are typically considered separately. Today we present ViP-DeepLab, which does both at once while achieving state-of-the-art performance→goo.gle/2S9BVM0
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A new video dataset from @facebookai designed to evaluate the fairness of computer vision and audio systems
As part of our ongoing efforts to help surface fairness issues in #AI systems, we’ve open sourced a new data set of 45,186 videos to help evaluate fairness in #computervision and audio models across age, gender, apparent skin tone, & ambient lighting. ai.facebook.com/blog/sheddin…
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If you have an interest in continual learning, check out this incredible collective project from @ContinualAI: github.com/ContinualAI/avala… A PyTorch based, end-to-end library implementing a number of benchmarks, models, metrics, to setup your project and simplify comparisons.
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Self supervision is the future of computer vision. Get started and reproduce results with VISSL and @PyTorch
Introducing VISSL (vissl.ai) - a library for reproducible, SOTA self-supervised learning for computer vision! Over 10 methods implemented, 60 pre-trained models, 15 benchmarks, and counting.
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My morning run got soaked 😬
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Finding the natural parts of an object and their intrinsic coordinate frames without supervision is a crucial step in learning to parse images into part-whole hierarchies. If we start with point clouds, we can do it!
📢📢📢 𝐒𝐮𝐧 𝐞𝐭 𝐚𝐥. "𝐂𝐚𝐧𝐨𝐧𝐢𝐜𝐚𝐥 𝐂𝐚𝐩𝐬𝐮𝐥𝐞𝐬: 𝐔𝐧𝐬𝐮𝐩𝐞𝐫𝐯𝐢𝐬𝐞𝐝 𝐂𝐚𝐩𝐬𝐮𝐥𝐞𝐬 𝐢𝐧 𝐂𝐚𝐧𝐨𝐧𝐢𝐜𝐚𝐥 𝐏𝐨𝐬𝐞" A network design that realizes the concept of "𝐦𝐞𝐧𝐭𝐚𝐥 𝐩𝐢𝐜𝐭𝐮𝐫𝐞" for unsupervised 3D deep learning. canonical-capsules.github.io
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This is sci-fi to reality! An epic #Starship #SN8 testflight 🤯 we have lost our minds @SpaceX @elonmusk @Erdayastronaut 🎞️📷 cosmicperspective.com/starsh…
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