The engineers who trained Fable 5. the researchers who red-teamed it for thousands of hours. the safety team that designed the guardrails. the people who wrote the code that the government says is too dangerous. barred by export control. because they are foreign nationals. Anthropic is a San Francisco AI safety company. it was founded by former OpenAI researchers from all over the world. its workforce is international by design. "a huge percentage" of employees according to Dario Amodei himself. Now cannot access the product they built.

I trained my colleague at work. A year later, he became my boss. A new staff member joined our office. The manager asked me to train him because I had been there longer and understood the job well. For months, I showed him everything I knew—how to prepare reports, deal with clients, avoid common mistakes, and survive our boss's mood swings. Whenever he got stuck, I was the one he called. Then one day, management announced a major restructuring. To everyone's surprise, he was promoted and became my supervisor. The following Monday, he called me into his office. I thought he wanted to thank me for helping him when he was new. Instead, he handed me a query for coming to work five minutes late. As I was leaving, he said, "Please try to be more professional." A few weeks later, he was given a major project and struggled badly. The funny thing was that I was the only person in the office who knew how to fix the problem. He came to my desk and asked for help. I smiled and said, "Please try to be more professional." He frowned and walked away. The manager later asked me to do the project. I completed it successfully. A few months later, he was demoted, and I was promoted to his position.

ถุกๆๆๆ อินเตอพุดถุก ทั้งการแสดงและการร้องเต้น หนุฟีมไม่ได้เรียนมาโดยตรง ก่อนจะมาทำตรงนี้ก้ไม่เคย properly trained มาก่อนจริงๆ แต่ด้วยความพยายาม ความเป็นศิลปินในตัว พรสวรรค์ ทำให้ชีเรียนรู้ไว ปรับตัวไว แล้วทำได้ดีไปหมดทุกอย่างเลยอ้ะ😭😭😭

Wemby went from esoteric dude who trained w the monks and did things we had never seen before on a basketball court to ‘FUCK THAT FRENCH BITCH’ in the course of a month. It’s what makes America great lol.

SITUATION DETECTED: The city of Rio de Janerio has post-trained a model. Based on Qwen 7/2, Rio 3.5 Open 397B adds SwiReasoning on top of the base Qwen model — a framework that dynamically switches between standard chain-of-thought and latent-space reasoning, guided by entropy-based confidence signals, so the model only "thinks out loud" when it needs to and otherwise reasons silently in hidden space for better token efficiency.

Bar charts are definitely good. But for years my eyes have been trained for the candlesticks. Anything else feels weird and also results in an inability to read price that efficiently

Compute: We were the first team in India to train at scale. We trained the sovereign models at the scale of ~3400 H100s. We are now putting serious capital behind the next step. India's first Blackwell cluster is now online and used by us, and we are building momentum towards operating 10s of megawatts in compute on Indian soil by 2027. Models: With Sarvam 105B, India's first sovereign model built from scratch, we showed that highly capable models can be trained here, independently. More importantly, the capability is now compounding across data, training, evaluation, systems, alignment, and deployment intuition. And we are scaling up to trillion-parameter class models, with larger runs built for coding, agents, and security. A coding model is coming soon... Inference: We already host our own models, with third party usage tripling in the last three months. We are soon taking live a production-grade token factory with the price, throughput, latency, reliability, and governance that banks, governments, enterprises, startups, and developers need for real systems. Products: Our products are now reaching India scale. Voice was our first wedge. It powers millions of interactions per day, doubling in the last three months, while we continue to optimise costs. Like voice, another modality at scale in India is documents, and we are hitting exponential growth of our new document intelligence product. Our fully managed agents product is live with enterprises and is being launched for all next month. Deployment: Most of the value in AI is unlocked in the last mile. We learned that by doing it across engagements in enterprises, government, and strategic sectors. Now we are turning that learning into a platform that allows every organisation to hill climb on its own use cases - whether it is building an agent, customising the harness, creating the data/tool backbone, or finetuning the model on custom data. Talent: Serious researchers are joining us across pretraining and RL, including people who have done meaningful work at the frontier. We are also starting our San Francisco office as the conduit for frontier AI ambition for India first, then the world.

Could retired senior police officers from Bihar offer an insider's perspective on the state's policing system? Specifically, how are police personnel trained, what values and skills are emphasized during training, where does the system fall short, how can it improve, and how does it compare with some of the world's best policing models? Discussion on Bihar-centric policing reforms is very limited, this needs to be discussed.

i love watching smosh x try guys bc the try guys are so pr trained and smosh is pure chaos

Ridiculous. SOTA models can be trained for $10 billion with $5b spent only in getting the top 50 Indian AI brains in the US back to India. Give them $100m each to come back. They will. Add another $5b, create a small city for this endeavor with world class infra and buildings.

If your parents trained you well,you will know you should pass your opinion without involving parents….i don’t care about what you are quite sure about Sebastian,think whatever you like 😌🙏🏼

accidentally trained my algorithm to show me 98% love island content 😂

Employers are clamoring for workers who can do doctor-like work but who are trained faster and can cost them less on.wsj.com/3QBkq5J

Krauser would purposely go harder on Leon when they trained together because he wanted to see Leon all teared up and bruised just like in the photo and that would turn him o- WHO SAID THAT 👀

Indian seafarers on a vessel ask - "Why target ONLY us? We are not trained like the military. We just contribute to the economy by helping in transport and shipping". They then repeat - "Why are only Indians being targeted?"