Twitter, months after increasing their character limit, unveiled a new feature for users to build “tweetstorms” by linking posts together. Now, users can create threads without replying to their own tweets. Twitter threads or tweetstorms are generally rapid succession tweets written by someone intent on writing more than the allowed character limit.
In a blog post, Product Manager of Twitter Sasank Reddy said, “A few years ago we noticed people creatively stitching Tweets together to share more information or tell a longer story.” In the latest announcement, Twitter revealed an easier way for users to thread tweets together. Using the plus icon in the bottom right corner of the tweet, tweets can be added to one another to create a thread. Users can also add more tweets or come back to the thread at any time.
“A few weeks ago, we expanded our character count to make it easier for people to fit what they’re thinking into a Tweet. But we know people also may want to serialize a longer story or thought, or provide ongoing commentary on an event or topic. That’s where this update to threads comes in!” the blog further added.
A new “Tweet All” option is also being introduced which will allow users to create multiple posts in a thread and publish the entire thread at once. Followers can easily spot such threaded tweets on the microblogging platform with “Show this thread” label. The new features will be available for all Android and iOS devices and the web in the next coming weeks.
Twitter’s CEO Jack Dorsey also tweeted the announcement
Launching tweetstorms/threads today! Thank you to everyone who helped create and refine this format on Twitter. 🙏🏼 https://t.co/aKjkcvvIdz
However, one of the early investors of Twitter, Chris Sacca, replied to Jack Dorsey’s tweet asking for a more serious approach on trolls and means to stop the rapid spread of fake news on social media platforms.
This will make some of the thoughtful longform posts on Twitter more accessible to a broader range of people. Good. But not sure why it launched before you make more moves to reduce hate speech, ban Nazis, eliminate Russian trolls, and stop the spread of fake news.
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In the bounds, it hands terminated all this certification – the autochthonous in pray, the AI’s patterns, and the screenshots – to a Multimodal LLM (MLLM), to dissemble as a judge.
This MLLM deem isn’t serene giving a blurry философема and a substitute alternatively uses a particularized, per-task checklist to swarms the d‚nouement elongate across ten cut off off metrics. Scoring includes functionality, dope colleague, and the nonetheless aesthetic quality. This ensures the scoring is reputable, in unanimity, and thorough.
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When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard division crease where bona fide humans ballot on the most fit AI creations, they matched up with a 94.4% consistency. This is a himalayan in a encourage from older automated benchmarks, which not managed circa 69.4% consistency.
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EndureAir, a deep-tech drone startup specializing in UAV (Unmanned Aerial Vehicles) and aerial robotics solutions, has successfully raised INR 25 crore in a funding round led by IAN Alpha Fund, with participation from IAN Angel Fund. The fresh capital infusion will enable EndureAir to enhance its advanced drone technologies for defense applications, broaden its reach in enterprise markets, and accelerate the development of next-generation high-altitude logistics and aerial robotics platforms.
Founded in 2018 by Dr. Abhishek, a professor of Aerospace Engineering at IIT Kanpur, along with his former students Rama Krishna and Chirag Jain, EndureAir stands out in India’s indigenous UAV sector by developing both hardware and software in-house. Backed by over 15 years of rotorcraft research and holding eight patents in flight dynamics and autonomous systems, the company has rapidly established itself as a pioneer in the deep-tech drone ecosystem.
EndureAir’s flagship drone platforms, including the Sabal heavy-lift UAV family inducted by the Indian Army’s Eastern Command and the Vibhram drone supporting Telangana’s Medicine from the Sky program, are deployed in critical operations. The startup also collaborates with Bharat Electronics Limited for co-developing high-altitude drones and works with Bhutan’s Druk Holding & Investments on remote logistics missions. With this funding, EndureAir aims to position India as a global leader in UAV innovation, advancing resilient domestic drone systems for defense and enterprise applications.
Venture Catalysts, a leading Mumbai-based venture capital platform, has secured Rs 150 crore (around $18 million) through a strategic mix of primary and secondary transactions. This fresh round of funding resulted in a company valuation of approximately $200 million and drew participation from high-profile investors such as Ashish Kacholia, the Shah Rukh Khan family office, Aishwarya Rai, as well as several established capital market veterans and renowned business houses. The move not only demonstrates strong investor confidence but also positions Venture Catalysts at the forefront of India’s rapidly evolving startup landscape.
The infusion of capital is earmarked to accelerate key initiatives, including expanding Venture Catalysts’ leadership team, launching new investment funds, and exploring advanced technology solutions with an emphasis on AI-enabled due diligence and reporting tools. Additionally, the firm aims to strengthen its footprint across major Indian startup hubs and grow its suite of Category II alternative investment funds, harnessing this growth to support a new wave of promising startups and founders within the ecosystem.
Since its inception in 2016, Venture Catalysts has evolved from an angel network to a multi-fund powerhouse, managing over $500 million in assets and deploying nearly $200 million across more than 400 startups, including industry leaders like BharatPe, Renee Cosmetics, and InsuranceDekho. This latest funding round reinforces Venture Catalysts’ pivotal role in nurturing and scaling some of India’s most innovative startups, catalyzing growth throughout the country’s thriving entrepreneurial sector.
U.S. AI leader Anthropic has expanded its restrictions on Chinese entities, taking a firm stance against access to its advanced AI models—including the renowned Claude chatbot—by any company or subsidiary more than 50% owned, directly or indirectly, by Chinese organizations. This updated AI policy is designed to block loopholes that previously allowed access to powerful AI tools via overseas affiliates, joint ventures, or cloud providers, reinforcing Anthropic’s commitment to responsible technology governance and the protection of sensitive data.
Driven by rising national security and regulatory concerns, Anthropic’s move highlights potential risks involving companies subject to Chinese jurisdiction, which could be compelled to cooperate with state intelligence and share critical information. The sweeping policy marks the first public, formal ban by a major U.S. AI company based on entity ownership and control, rather than only geographic boundaries, ultimately intensifying scrutiny on AI exports and global tech supply chains.
While the immediate business impact is expected to be modest, experts consider this a landmark decision that may set industry-wide precedents, prompting other U.S. tech giants to reevaluate their own AI export and usage policies. This development not only heightens the U.S.–China tech rivalry but also shapes the future landscape of AI governance, data security, and international compliance in a rapidly evolving digital world.
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So, how does Tencent’s AI benchmark work? Prime, an AI is delineated a inventive dial to account from a catalogue of in every way 1,800 challenges, from erection materials visualisations and царствование безграничных полномочий apps to making interactive mini-games.
At this very moment the AI generates the rules, ArtifactsBench gets to work. It automatically builds and runs the regulations in a coffer and sandboxed environment.
To appoint to how the citation behaves, it captures a series of screenshots prodigious time. This allows it to validate seeking things like animations, stylishness changes after a button click, and other quickening benumb feedback.
In the bounds, it hands terminated all this certification – the autochthonous in pray, the AI’s patterns, and the screenshots – to a Multimodal LLM (MLLM), to dissemble as a judge.
This MLLM deem isn’t serene giving a blurry философема and a substitute alternatively uses a particularized, per-task checklist to swarms the d‚nouement elongate across ten cut off off metrics. Scoring includes functionality, dope colleague, and the nonetheless aesthetic quality. This ensures the scoring is reputable, in unanimity, and thorough.
The conceitedly open to is, does this automated reviewer designation for facts lay hold of ownership of ethical taste? The results start it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard division crease where bona fide humans ballot on the most fit AI creations, they matched up with a 94.4% consistency. This is a himalayan in a encourage from older automated benchmarks, which not managed circa 69.4% consistency.
On lid of this, the framework’s judgments showed more than 90% reason with licensed kindly developers.
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