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Introducing Emergence. It removes learner ontology from Adapt-1’s online learning setup. Observation paths, temporal context, causal variables and action-state bindings can now be induced online from interaction and committed as revisioned state. Blog :

Rei

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41,634 görüntüleme • 2 gün önce •via X (Twitter)

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Introducing /extract v2 🚀 Now you can extract from multiple pages, handle pagination, and even extract from the entire web without a URL - powered by FIRE-1. Our state of the art endpoint that allows you get data with a prompt just got a lot better on Day 3 of Launch Week.

Introducing /extract v2 🚀 Now you can extract from multiple pages, handle pagination, and even extract from the entire web without a URL - powered by FIRE-1. Our state of the art endpoint that allows you get data with a prompt just got a lot better on Day 3 of Launch Week.

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This figure from HIL-SERL is one of the clearest visualisations of how RL learns differently from imitation learning. The difference comes down to this: imitation learning treats each (state, action) pair as independent. A correction at timestep 20 teaches nothing about timestep 19 or 21. RL propagates reward backward through time. One successful insertion updates the value estimate of every state along the trajectory. So RL builds a full map of "which states lead to success"; imitation learning just memorizes individual snapshots. Setup: a robot inserting a RAM stick into a motherboard slot. Each dot is an end-effector position (Y = lateral, Z = height). Starting position is randomized. Left to right = training progressing. Top row (RL): the policy builds a funnel. Broad at the top, narrowing into the target. It systematically fills in the state space, learning which paths lead to success from many different starting positions. Bottom row (imitation learning / HG-DAgger, same human data): sparse, diffuse, no funnel. The policy only learns near states the human demonstrated. Both have access to the same data, including human corrections, but a completely different structure emerges.

This figure from HIL-SERL is one of the clearest visualisations of how RL learns differently from imitation learning. The difference comes down to this: imitation learning treats each (state, action) pair as independent. A correction at timestep 20 teaches nothing about timestep 19 or 21. RL propagates reward backward through time. One successful insertion updates the value estimate of every state along the trajectory. So RL builds a full map of "which states lead to success"; imitation learning just memorizes individual snapshots. Setup: a robot inserting a RAM stick into a motherboard slot. Each dot is an end-effector position (Y = lateral, Z = height). Starting position is randomized. Left to right = training progressing. Top row (RL): the policy builds a funnel. Broad at the top, narrowing into the target. It systematically fills in the state space, learning which paths lead to success from many different starting positions. Bottom row (imitation learning / HG-DAgger, same human data): sparse, diffuse, no funnel. The policy only learns near states the human demonstrated. Both have access to the same data, including human corrections, but a completely different structure emerges.

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We cannot speak for other areas, but in the fight against cultism, he has shown a willingness to match words with action. Governor Monday Okpebholo has significantly reduced cult-related violence and k**lings in Edo State - a state that was once widely known for persistent cult clashes and bl00dshed. His results have demonstrated that firm action, and consistent enforcement can make a difference where many believed the problem was beyond control. His strategy can be strengthened, expanded upon, and even combined with de@th penalty where legally prescribed, and applied across the country to maximize results in the battle against cultism. The lesson from Edo State is that cult violence is not an unsolvable problem when leaders are prepared to confront it directly and consistently.

We cannot speak for other areas, but in the fight against cultism, he has shown a willingness to match words with action. Governor Monday Okpebholo has significantly reduced cult-related violence and k**lings in Edo State - a state that was once widely known for persistent cult clashes and bl00dshed. His results have demonstrated that firm action, and consistent enforcement can make a difference where many believed the problem was beyond control. His strategy can be strengthened, expanded upon, and even combined with de@th penalty where legally prescribed, and applied across the country to maximize results in the battle against cultism. The lesson from Edo State is that cult violence is not an unsolvable problem when leaders are prepared to confront it directly and consistently.

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Tried booking a ride from Cassia Inn to ISKCON temple on Namma Yatri and it turns out to be equally expensive option compared to Ola/Uber. If NammaYatri is claiming to be zero commissions then how is it charging the same as the other platforms? Strange isn't it? Namma Yatri, ಸಾರಿಗೆ ಇಲಾಖೆ ,Transport Department Karnataka, B Sriramulu, Karnataka State Road Safety Authority, CM of Karnataka, Basavaraj S Bommai, Bhavya Dilipkumar

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If Oyo State Police Command are serious, it is easy to apprehend him now. From his picture, i could figure out his Facebook account and that of his wife. His girlfriend name is Kolawole Ajoke and owns a business named Queen Empire, she operate a tiktok account "opejayjay" where i got this video which i believe was recorded in the Micra he's using for his notorious act. From the comment section of facebook/tiktok one could see people who knows the woman as well as the guy. Oriyomi Hamzat Oyo State Police Command Please help us swing into action before more people fall victim of his atrocity.

𝐌𝐚𝐧𝐱 𝐂𝐥𝐨𝐭𝐡𝐢𝐧𝐠 | 𝐃𝐚𝐭𝐚𝐂𝐢𝐭𝐲

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Meet Aditi Mistry & her sister Divya Mistry. Aditi built her name as a fitness model before moving into adult-focused, subscription-based content. Now, Divya appears to be following a similar path with adult live sessions and online content. They’re both clearly making money from it, but it raises a question: with their fitness background and audience, imagine the brand deals and opportunities they could have built as fitness creators. Sometimes, the example set at home really does influence the next generation.

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A video from Buddh Park, Haldwani is going viral on social media. In the video, a woman named Diksha Palariya from Gaulapar can be seen sitting on protest, alleging harassment by her in-laws. As the video spread, people gathered at the park and her family members also reached Kotwali Haldwani demanding action. During the protest, the woman’s health suddenly worsened and she had to be taken to the hospital. The allegations are serious and sensitive. It is now important that the police investigate the matter properly and take appropriate action. Nainital Police Uttarakhand ज़िला प्रशासन नैनीताल

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underwood

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Announcing #buildshit! Calling all interaction fanatics, designers and engineers for a fun and light interaction design challenge. The winner takes home $29. Challenge: Create a reveal interaction with two views: 1. The first view should showcase a photograph with the photographer's name and social handle. 2. The second view should present all the metadata and reveal itself through some interaction. Details: 1. Post your work with #buildshit to participate. Use the assets linked below. You may include additional metadata. 2. You have the complete freedom to design any layout and interaction as long as you have the two views and the required assets. 3. The post with the most likes wins (to keep things simple). 4. Tools do not matter. Participate with Code, Figma, Adobe, Jitter, Procreate, Spline, Rive or anything that you are comfortable with. 5. The submissions end on 1 September 2024 at 2:00 PM IST. 6. Do not take the challenge too seriously. This is all about having fun, exploring your creativity and learning from others. Assets: Why? I love thoughtful and delightful interactions. I believe there are always a lot of ways to approach a problem. I am interested in understanding how different people approach the same problem and learning from them. -- Participate for the fun of it, share it with others and let me know if there is something that you'd like to be done differently.

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🗳️ #SIR2026 | Enumeration Forms Can Also Be Submitted Online As part of the Special Intensive Revision (SIR)-2026, electors can conveniently submit their Enumeration Forms online through the Voters' Service Portal. 📌 How to Submit Online: 1️⃣ Visit and log in using your registered mobile number. Complete OTP verification to access the portal. 2️⃣ Click on the "Fill Enumeration Form" option available on the dashboard. 3️⃣ Verify your details available in the Electoral Roll, including your Name, EPIC Number, Aadhaar (if linked), and other particulars. 4️⃣ Complete the Enumeration Form, verify the information entered, and e-sign the form. 5️⃣ Submit the form online through OTP authentication. ✅ Once submitted, the Enumeration Form will be recorded in the system for the SIR-2026 process. 📄 After successful online submission, keep the acknowledgement ready and share it with the concerned Booth Level Officer (BLO) during verification. 📅 Online submission is available from 25 June 2026 to 24 July 2026. 🏠 BLOs will also be visiting households to distribute and collect Enumeration Forms. Citizens may choose either the online or offline mode for submission. ⚠️ No documents are required to be uploaded during the Enumeration Phase. 🗳️ Verify your details. Submit your Enumeration Form. Participate in SIR-2026. #ElectionCommissionOfIndia #SIR2026 #ElectoralRollRevision #VoterAwareness #Hyderabad #YourVoteYourRight Election Commission of India Telangana CMO Chief Electoral Officer Telangana GHMC Office of Chief Secretary, Telangana Govt. IPRDepartment Jayesh Ranjan Commissioner GHMC

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Ten years from now, there will be two kinds of people. Those who learned how to use AI. And those who learned how to compete against people who did. Artificial intelligence isn’t coming. It’s already here. It’s writing, researching, designing, coding, analyzing, and helping businesses do more with fewer people every single day. You can ignore it. You can mock it. You can pretend it’s a fad. But the people who embrace it today will have an advantage that grows larger every year. The future won’t belong to the strongest or the loudest. It will belong to the people who adapt the fastest. Are you learning AI, or are you hoping it goes away?

Ten years from now, there will be two kinds of people. Those who learned how to use AI. And those who learned how to compete against people who did. Artificial intelligence isn’t coming. It’s already here. It’s writing, researching, designing, coding, analyzing, and helping businesses do more with fewer people every single day. You can ignore it. You can mock it. You can pretend it’s a fad. But the people who embrace it today will have an advantage that grows larger every year. The future won’t belong to the strongest or the loudest. It will belong to the people who adapt the fastest. Are you learning AI, or are you hoping it goes away?

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1/ Gemini 2.5 is here, and it’s our most intelligent AI model ever. Our first 2.5 model, Gemini 2.5 Pro Experimental is a state-of-the-art thinking model, leading in a wide range of benchmarks – with impressive improvements in enhanced reasoning and coding and now #1 on Arena by a significant margin. With a model this intelligent, we wanted to get it to people as quickly as possible. Find it on Google AI Studio and in the Google Gemini for Gemini Advanced users now – and in Vertex in the coming weeks. This is the start of a new era of thinking models – and we can’t wait to see where things go from here.

1/ Gemini 2.5 is here, and it’s our most intelligent AI model ever. Our first 2.5 model, Gemini 2.5 Pro Experimental is a state-of-the-art thinking model, leading in a wide range of benchmarks – with impressive improvements in enhanced reasoning and coding and now #1 on Arena by a significant margin. With a model this intelligent, we wanted to get it to people as quickly as possible. Find it on Google AI Studio and in the Google Gemini for Gemini Advanced users now – and in Vertex in the coming weeks. This is the start of a new era of thinking models – and we can’t wait to see where things go from here.

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I’m excited to announce that my new book, 𝐂𝐨𝐦𝐩𝐞𝐭𝐞: 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐢𝐧𝐠 𝐚 𝐌𝐞𝐧𝐭𝐚𝐥 𝐏𝐥𝐚𝐲𝐛𝐨𝐨𝐤 𝐟𝐨𝐫 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐔𝐧𝐝𝐞𝐫 𝐏𝐫𝐞𝐬𝐬𝐮𝐫𝐞 𝐢𝐧 𝐒𝐩𝐨𝐫𝐭 is out today! 𝐂𝐨𝐦𝐩𝐞𝐭𝐞 is a book for anyone who's passionate about reaching their full potential as a competitor. It's packed with tools and techniques to help ambitious players be the very best they can be game after game...after game! The book draws from my 3 decades in high performance sport, 20 years of which have been as a qualified sport psychologist. 𝐂𝐨𝐦𝐩𝐞𝐭𝐞 is available to buy now at online bookstores and on Amazon.

Daniel Abrahams

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Today we're introducing Slite as the first self-maintaining Knowledge Base Your wiki docs go outdated everyday, and your agents depend on them for your most ambitious workflows. Slite monitors your docs' accuracy from all other work tools (slack, jira, linear, codebase, etc) while you sleep and updates them. It even directly talks to your AI agents to give them accurate context without burning their context window or tool calls. You've been trying to build this 'company brain' for months now with hacky MVPs This is the final version of what you need, already built to be collaborative, headless, and secure. Check it out and HMU if you need this for your team, I'll be running personal onboardings for the next few days!

Today we're introducing Slite as the first self-maintaining Knowledge Base Your wiki docs go outdated everyday, and your agents depend on them for your most ambitious workflows. Slite monitors your docs' accuracy from all other work tools (slack, jira, linear, codebase, etc) while you sleep and updates them. It even directly talks to your AI agents to give them accurate context without burning their context window or tool calls. You've been trying to build this 'company brain' for months now with hacky MVPs This is the final version of what you need, already built to be collaborative, headless, and secure. Check it out and HMU if you need this for your team, I'll be running personal onboardings for the next few days!

Christophe Pasquier 🇺🇦

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March 18, 2025 marked the public launch of OptimAI. In one year, it has evolved from a lightweight node layer into a decentralized intelligence infrastructure powering real-time data, compute, and reinforcement for agentic systems. Not just nodes. Not just data. A continuously learning, network-driven intelligence layer. This is infrastructure for a new class of software: autonomous agents that persist, adapt, and operate across environments. Year one established the network. Year two is where it compounds into coordination and value flow. Personal agents. Reinforcement at network scale. Emerging primitives for AgentFi. New layers coming online. 2026 won’t just be about scale, it’s where the network starts to operate. Keep building!

March 18, 2025 marked the public launch of OptimAI. In one year, it has evolved from a lightweight node layer into a decentralized intelligence infrastructure powering real-time data, compute, and reinforcement for agentic systems. Not just nodes. Not just data. A continuously learning, network-driven intelligence layer. This is infrastructure for a new class of software: autonomous agents that persist, adapt, and operate across environments. Year one established the network. Year two is where it compounds into coordination and value flow. Personal agents. Reinforcement at network scale. Emerging primitives for AgentFi. New layers coming online. 2026 won’t just be about scale, it’s where the network starts to operate. Keep building!

OptimAI Network

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Tiana’s Bayou Adventure continues to suffer from the heaviest technical difficulties yet. I went on the attraction for the first time 2 months ago today, and it was one of the happiest moments of my life, yet these issues can’t be ignored. My 26th ride last night was the worst state I’ve ever seen it in, and it’s operating in an even worse state today, with the Audio-Animatronics figures freezing and resetting while Guests were riding. I love this attraction more than any other, yet I’m at the point now where I’m even having a hard time enjoying it when my favorite parts of it aren’t working correctly. This attraction, in my opinion, truly is a joyful celebration when everything is working correctly, yet that’s not reality right now. I’m sad to see it in this state and hope to see the issues addressed immediately so everyone can fully enjoy the beautiful experience that it is.

Tiana’s Bayou Adventure continues to suffer from the heaviest technical difficulties yet. I went on the attraction for the first time 2 months ago today, and it was one of the happiest moments of my life, yet these issues can’t be ignored. My 26th ride last night was the worst state I’ve ever seen it in, and it’s operating in an even worse state today, with the Audio-Animatronics figures freezing and resetting while Guests were riding. I love this attraction more than any other, yet I’m at the point now where I’m even having a hard time enjoying it when my favorite parts of it aren’t working correctly. This attraction, in my opinion, truly is a joyful celebration when everything is working correctly, yet that’s not reality right now. I’m sad to see it in this state and hope to see the issues addressed immediately so everyone can fully enjoy the beautiful experience that it is.

Drew Smith

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