Maravilloso proyecto!
nostr:npub1l2vyh47mk2p0qlsku7hg0vn29faehy9hy34ygaclpn66ukqp3afqutajft Data Vending Machine is genius!
Shifting the focus from who is performing the service to the quality of the service itself. nostr:note1sa9wx3rqfag7t85dy0as4qy0n5p5sh4jmux4epfuwccte9qax6kq0ch7v2
Esto está fantastic… dónde firmo?
Thanks but not thanks. 
Quiero seguir cuentas que hablen español aquí en #nostr… repórtense!
#hispano #latam
I miss the sats in Damus 😔
Open-vocabulary object detection refers to a type of computer vision task where the goal is to detect and identify any object in an image from a wide, or "open", range of possible object categories, even those not seen during training. This is challenging because often there isn't enough labeled data available to train the model effectively for all possible object categories, and pre-trained models often don't generalize well to unseen categories, leading to poor performance.
DeepMind's OWLv2 model, as described in their paper "Scaling Open-Vocabulary Object Detection", seeks to address these challenges. It includes an optimized architecture that makes training more efficient, and uses a method known as the OWL-ST self-training recipe to improve the model's ability to detect objects.
But why does this matter? Optimizing open-vocabulary object detection enables AI to better understand and interact with the world around us. It’s a critical step towards more flexible and adaptable AI systems.
Applications are vast! From autonomous vehicles recognizing unusual obstacles, to healthcare imaging technologies identifying rare conditions, to e-commerce platforms offering better product recommendations. #AIApplications #ComputerVision
The main goal of the paper is to improve three aspects of open-vocabulary detection self-training: label space, annotation filtering, and training efficiency.
"Label space" refers to the set of all possible object categories that the model can detect. Optimizing this means making sure the model can handle a wide variety of categories effectively.
"Annotation filtering" is about determining which data to use for training. Optimization in this area ensures that the most useful data is used for training the model.
Finally, "training efficiency" refers to the speed and computational resources required to train the model. Improving this makes the model faster to train and more scalable, which means it can be applied to larger datasets and more complex tasks.
By focusing on these three aspects, the researchers aim to build a robust model that can perform well at open-vocabulary object detection tasks, even when there's a limited amount of labeled data available.
So twitter is just an expensive relay now?
It is very hard to move away from you family and friends…
Thankfully we have #btc
Life's been awful for a lot of people for a really long time now. You never get the dignity you deserve. Nobody cares what you think, you don't get to choose so many things about your life, and other people seem to have all the power. You never get to see what your full potential could actually be.
We've reached the point where the decisions we have to make have eclipsed our abilities to make them.
Therefore, society isn't working. People are unconscionably being prevented from reaching their full potential. Everyone is stuck on survival mode - just clinging to anyone who just might have a solution. Surviving, not living.
People have no voice and freedom is becoming meaningless. Life, business, and politics have become just sequences of decisions within contexts mostly set up by other people.
And work and capitalism haven't really been meeting peoples' needs. Only a few seem to really benefit. People aren't able to live their dreams and they don't get to freely make the most important decisions in their lives. They never get to find out what their life could have been.
We're constantly forced to ask for permission, destroying our freedom and our dreams. We become ends to others' dreams instead of our own and those of the people we love and want to support.
And democracy is failing. Fascism is taking root. All the foundational systems of society are breaking down, and more and more technology isn't working for us - it's limiting us and pushing us apart. We're being depersonalized by bad tech and negative political processes. AI and technology are all inherently moral things, but we aren't demanding that they be pro-people.
¿How can we?
Apple has removed Damus from its App Store because they discovered that it has no control or profits over its transactions. It may seem like a lost battle, but we are winning the war.
Stay humble and keep mining sats.
Wtf is this? 🤷♀️😕😔 
We are about to cross a critical threshold, entering a poly-crisis, a set of overlapping crises:
- Public debt crisis: Governments have accumulated unsustainable debts, forced to print more money, which increases inflation, or to face possible bankruptcy.
- Personal debt crisis: Personal debt, including student debt, has reached record levels, driving individuals and families to the brink of financial collapse.
- Labor crisis: Massive layoffs and the transformation of the workforce due to the integration of artificial intelligence are putting job stability in check.
- Banking crisis: Differentiated between private and central banks. The private ones face lack of liquidity and trust, while the central ones struggle with expansive monetary policies and constant issuance of bonds, undermining confidence in fiat currencies.
- Real estate crisis: The real estate bubble threatens to burst, putting investors and homeowners at risk.
- Geopolitical crisis: It ranges from global de-dollarization to regional conflicts in Ukraine and Taiwan.
- Social and political crisis: The trend towards authoritarianism in various places, the discredit of the media, and ideological radicalization are polarizing and destabilizing entire societies.
- Confidence crisis: The growing supervision and control by governments, as seen in the creation of CBDCs, are eroding public confidence.
This poly-crisis heralds a new financial and social era. It's time to prepare ourselves, rethink our systems of government, and learn more about #bitcoin.
Let’s welcome this new era as an opportunity
There’s a special kind of magic in feeling truly safe next to the person you love. It’s more than just physical security or a shared history—it’s a profound emotional connection that fosters peace and understanding.
When you find someone who understands you better than you understand yourself, it’s like growing a pair of strong wings.
Suddenly, you’re not alone in your thoughts and feelings. You have a partner, a confidant, a mirror that reflects your inner world with love and compassion.
This understanding can guide you towards self-discovery, illuminating parts of yourself you may not have realized existed.
It isn’t just about companionship—it’s about growth, it’s about discovery, it’s about learning to see yourself through the eyes of another. It’s a journey of shared experiences, of vulnerability, of building something beautiful together.
Feeling safe and understood in love is one of life’s greatest joys. ❤️
Society needs debugging.
Society is bugged.
For tech, moore’s law. For everything under state power eroom’s law.