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Digg is back from the dead. Again. Just months afterlaunching, therebootof Kevin Rose’s once-popular link-sharing siteshut down in March, as the company shifted course. Originally redesigned as acompetitorto the massive community forum site Reddit, the new Digg found that it wasn’t able to effectively manage the bot traffic invading its platform and hadn’t differentiated itself enough from the competition to make an impact. The startup laid off staff and said it was time to go back to the drawing board. Rose, a partner at True Ventures, returned to work full-time on a new version of Digg in April. On Friday evening, the founderprevieweda link to the newly redesignedDigg, which now looks nothing like a Reddit clone and more like the news aggregator it once was. a little project i've been hacking on:https://t.co/zTuwWy44lybugs expected. more topics soon. This time around, the site is focused on ranking news — specifically, AI news to start. In an email to beta testers, the company said the site’s goal is to “track the most influential voices in a space” and to surface the news that’s actually worth “paying attention to.” AI is the area it’s testing this idea with, but if successful, Digg will expand to include other topics. The email warned that the site was still raw and “buggy,” and was designed more to give users a first look than to serve as its public debut. On the current homepage, Digg showcases four main stories at the top: the most viewed story, a story seeing rising discussion, the fastest-climbing story, and one “In case you missed it” headline. Below that is a ranked list of top stories for the day, complete with engagement metrics like views, comments, likes, and saves. But the twist is that these metrics aren’t the ones generated on Digg itself. Instead, Digg is ingesting content from X in real-time to determine what’s being discussed, while also performing sentiment analysis, clustering, and signal detection to determine what matters most. As Roseremarked on X,when OpenAI CEO Sam Altman engages with a story about AI, it almost always sets off a chain reaction that includes deep discussion and propagation of that topic throughout X. The new Digg will be able to track that increased engagement. This might be something that’s interesting to data nerds, as it exposes the impact of X-based engagement with charts and graphs, and offers a way to track signal among what can, on X, often be a lot of noise. But it’s unclear whether there’s enough underlying value here for an everyday user, beyond seeing that yes, a@samatweet can make something go viral. The site also ranks the top 1,000 people involved in AI, as well as the top companies and the top politicians focused on AI issues. For those who don’t have time to spend on X tracking breaking AI news, Digg could prove a useful resource. But it’s not clear why people would regularly turn to Digg over their preferred news app, RSS reader, or even their X “For You” feed, if they wanted to catch up on what’s trending — especially because there isn’t currently any discussion happening on Digg’s site itself. Digg may also struggle when it moves on to other topics, as AI news is one of the few areas where discussion still heavily takes place on X. Other verticals don’t have the same traction, especially after Musk’s takeover of the site formerly known as Twitter gave rise to an ecosystem of competitors, which now includes Meta’s creator-focused Threads. Many non-tech-related discussions are now happening off X, or off the public internet entirely. However, if Digg does end up gaining steam, it could serve as a useful source of website traffic to publishers whose businesses have been decimated bydeclining clicksthanks to Google’s changing algorithms andthe impact of AI Overviews, the AI-generated summaries Google displays atop search results, which often answer users’ questions before they ever click through to a website.
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The Deployment Company will function as a standalone business unit while remaining closely connected to OpenAI’s research and product teams.
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Gurugram dominated the funding landscape, attracting 52% of all capital raised in the region, equivalent to $876 million.
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A bank with 200 AI models in production can still be a Stage 1 company.
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The company introduced seven GaN power ICs built with Navitas technology for AI, telecom, and e-mobility applications.
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Over the last five years, the number of Mittelstand GCCs in India has grown by over 100%.
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On the other hand, OpenAI earns $5 million per employee.
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The bank is deploying GenAI, GST intelligence and document AI to digitise Re-KYC and profile updates.
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Anthropic has finally revealed the reason its artificial intelligence (AI) models exhibited harmful behaviour in a simulation last year. The San Francisco-based AI startup claimed that the Claude 4 series models blackmailed users into completing the objective because of training data that portrayed AI as evil. The researchers found that the post-training techniques were not able to overpower this pre-training learning, and it persisted in the model's behaviour. However, nearly a year after publishing the initial report, the company has finally found a way to fix agentic misalignment from the latest models.
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With agentic AI, the challenge now is readiness for a model where humans define intent and AI delivers outcomes.
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As contract manufacturing margins compress, AI is emerging as a potential route to drug discovery. The question isn't capability anymore. It's incentives.
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