Julho de 2020. No meio da pandemia, um passeio de lancha reuniu o senador Flávio Bolsonaro, lobistas da Covaxin e garotas de programa.
Por @joao_batistajr, @anaclaracosta e @brenopires
https://t.co/eiw7iHC7kh
Meet EmbeddingGemma 2, our first natively multimodal open model for on-device embeddings.
It expands beyond text to unify code, images, audio, and video in a shared space. 🧵
Introducing Underdog, your Private Personal AI on devices you already own
Today we're announcing our backing from @a16z@khoslaventures@HummingbirdVC Anthology (@AnthropicAI@MenloVentures) @patrickc@naval@rauchg@polynoamial@Thom_Wolf@Mascobot@tszzl@OfficialLoganK and other top AI leaders
Our mission is to provide free, capable, reliable and private AI to billions of people.
Underdog’s Law: today’s frontier intelligence reaches your devices in six months.
We’re starting with fast, capable AI that runs on consumer hardware. By co-designing models and inference engines, we’re pushing the frontier of capability, speed, power and data efficiency.
Our research also spans agentic commerce, confidential inference, and how AI will reshape the internet economy.
Privacy and capability no longer needs to be a tradeoff. If you believe in this future, join us. Time to build.
Post-trained on DeepSeek-OCR, we strengthened multilingual support across 25 languages and optimized it for low-budget GPUs such as the nvidia L4. jina-ocr-v1 scores 91.14 on OmniDocBench v1.6 and 83.4 on olmOCR-Bench, and hits the highest page throughput among all competitors.
While we've now launched a Rust rewrite, we're sharing those lessons for others going through a similar Python scaling journey.
https://t.co/xGytZt8Iuz
🚨 New Course Announcement!
This Fall @Diyi_Yang@jyangballin and I are teaching a BRAND NEW Stanford course on how to build AI Agents from scratch!
Millions of users interact with AI Agents every day. Come join us and learn how to build them!
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@paulomoreria lembro que tinha uma área da ouvidoria onde era possível abrir reclamação e eles são obrigados a responder e dar um motivo pelo atraso. salve todos os protocolos. na época que acionei, a entrega andou.
I am absolutely more productive using agents. I don't know the factor but it's large. However much of that productivity is spent tuning the agents and hardening the product. I'm guessing 30%-40%.
Some might consider that a waste; but I don't. The software I'm creating nowadays is vastly more robust than I'd ever been able to create manually.
I don't mean that the code is better. I mean the surrounding tests are vastly better. I have a higher degree of confidence than I ever had manually -- even when I used very disciplined TDD and Acceptance testing.
And then there's the ability to quickly reorganize the modules and the architecture while keeping those robust tests running. That is a tremendous boon.
@peterjordan foi bem mais ou menos. sem um desenvolvimento bom, algumas cenas bem sem sentido. mas é isso, não dava pra esperar tanto dada a última temporada. e pelo menos acabou, encerraram sem alongar demais a série. o trecho do bilionário do começo do ep foi engraçado!