Latest News
Twitter Introduces Artificial Intelligence To Recommend Tweets
Artificial Intelligence is becoming more prevalent in our services, products, and our lives. The popular online news and social media service, Twitter is now using deep learning, an Artificial Intelligence (AI,) tool to sort and recommend tweets to a user regarding the timeline.
Twitter has 328 million monthly active users. To serve that huge user base, it is now using AI to sort and arrange tweets on the user’s timeline by replacing an algorithm used previously. Twitter used decision trees, logistic regression, feature crossing and discretization algorithms to rank tweets on users timeline. Now with this deep learning algorithm, they will be ranking the tweets by relevance rather than in reverse chronological order.
Nicolas Koumchatzky and Anton Andryeyev, Twitter software engineers, posted on their blog that the new algorithm is powered by deep neural networks, this is developed by one of the in-house Artificial Intelligence teams called Cortex.
Magic Pony Technology, a company which developed the artificial intelligence and machine learning based approaches for mobile, desktop and web, was recently acquired by Twitter and is now helping with Artificial Intelligence research for the company.
Twitter is also considering likes, retweets, photos and videos to determine the order of relevant tweets. As the statistics state user engagement is increasing on Twitter. So, the research and development team is working to enhance this user experience.
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OpenAI’s Trusted Contact Feature Signals a New Direction in AI Safety
OpenAI’s introduction of trusted contact safeguards for potential self-harm cases reflects a major evolution in AI responsibility.
Beyond Moderation
AI safety is shifting from simply blocking harmful content to actively supporting user wellbeing through:
- early risk detection
- human-centered intervention
- stronger emotional safety frameworks
This positions AI as more than an information tool—it becomes part of broader digital support systems.
Key Industry Impact
Trusted contact models could influence future safety standards across:
- AI assistants
- mental health platforms
- social media
- digital health services
The Bigger Challenge
While promising, success depends on balancing:
- privacy
- consent
- ethical intervention
- user trust
Final Take
This move signals that the future of AI safety may rely not just on preventing harmful responses, but on building more responsible, human-connected support systems.
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₹290 Crore Boost: Rozana’s Series B Funding Scales Rural Retail Network Nationwide
Rozana, India’s leading rural retail platform, has secured ₹290 crore ($35 million) in a Series B funding round led by Bertelsmann India Investments (BII), with participation from Omidyar Network India, Vivid Capital, and Tana Investment Holding. This Rozana funding brings its total capital to over ₹500 crore, fueling hyperlocal expansion in underserved rural markets. Founded in 2021 by brothers Prashant and Prateek Chauhan, the startup’s phygital model blends micro-stores, app-based ordering, and last-mile delivery to connect 5 million+ users in 12 states with brands like ITC and HUL.
The ₹290 crore investment will supercharge Rozana’s rural omnichannel retail strategy, targeting 5x growth in 18 months. Plans include adding 5,000 micro-stores in Uttar Pradesh, Bihar, and Rajasthan; AI-powered inventory tech; and new categories like groceries and electronics. By empowering 20,000+ rural micro-entrepreneurs, Rozana taps into India’s $700 billion rural retail boom, where smartphone penetration and UPI drive 12% annual growth.
This Rozana Series B milestone positions it as a frontrunner against rivals like Ninjacart, eyeing unicorn status by 2028 amid ONDC tailwinds. CEO Prashant Chauhan emphasized, “We’re building rural prosperity through accessible premium brands.” For more on Rozana funding news and rural retail trends, stay updated on India’s startup ecosystem.
Latest News
Peak XV New Funds: $1.3B Commitment for India Startup Surge 2026
Peak XV Partners has launched three new funds totaling $1.3 billion, targeting India’s booming startup ecosystem. The lineup features the $600M Surge fund (8th edition) for early-stage ventures, a $300M Growth Fund for Series B+ scaling, and a $400M Acceleration Fund for rapid portfolio expansion. This commitment arrives as India’s VC inflows rebound, with AI and fintech leading 2026 trends.
These funds build on Peak XV’s legacy of backing unicorns like Zomato and Pine Labs, offering founders capital plus strategic guidance amid post-winter recovery. Early-stage deals surged 20% last year per Tracxn, positioning Peak XV to fuel the next wave of innovation in SaaS, climate tech, and consumer plays.
For startups eyeing Peak XV new funds or Surge fund 2026 applications, this signals prime opportunities. Investors and marketers should watch for deployment updates India remains a global VC hotspot.
