The top 10 teams will present their working business live on June 9. Register:
BUSINESS
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Perplexity Launches Billion Dollar Build Competition
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Today we're announcing the Billion Dollar Build. An 8-week competition where teams will use Perplexity Computer to build a company with a path to $1B. Finalists have the opportunity to secure up to $1M in investment from the Perplexity Fund and up to $1M in Computer credits.
→ View original post on X — @aravsrinivas, 2026-04-08 17:20 UTC
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Excellent education fostering student entrepreneurship and interdisciplinary collaboration
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Not sure how it is today, but when I was there it was truly excellent. Great students, engaged profs, highly interdisciplinary, deep and creative. Students were going places, often building startups together
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LinkedIn’s AI recruiting agent with LangGraph and LangSmith
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🎤 Hiring 10x faster with LangGraph and LangSmith: Behind LinkedIn's AI recruiting agent
— LangChain (@LangChain) 8 avril 2026
Recruiting is one of the most time-intensive workflows in any organization—especially for small and mid-size businesses without dedicated hiring teams. @LinkedIn's engineering team tackled… pic.twitter.com/iK1IUPh3BE🎤 Hiring 10x faster with LangGraph and LangSmith: Behind LinkedIn's AI recruiting agent Recruiting is one of the most time-intensive workflows in any organization—especially for small and mid-size businesses without dedicated hiring teams. @LinkedIn's engineering team tackled this head-on by building an AI recruiting agent with LangGraph. At Interrupt, Senior Software Engineers Tracy He and Shang Liu will walk through how they built it: the agent architecture, the tool-calling patterns that power it, and how they keep the system observable in production with LangSmith. Catch Tracy and Shang’s talk along with all the others at Interrupt, the Agent Conference by LangChain. May 13-14 in San Francisco. Get tickets here 👉 interrupt.langchain.com
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AI Adoption in Enterprise: Data and Sectoral Trends
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Enterprises are using AI today for coding, legal, support, healthcare, and more. @kimberlywtan's must-read deep dive compiles hard data on where AI has the most enterprise adoption – and the industries AI is coming for next: a16z.news/p/ai-adoption-by-t… [Image] Kimberly Tan (@kimberlywtan) x.com/i/article/204175770374… — https://nitter.net/kimberlywtan/status/2041896368877531158#m [Translated from EN to English]
→ View original post on X — @scobleizer, 2026-04-08 16:16 UTC
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Evaluating AI Tools: Diagnostic Value and Process Automation
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Ask: Does this provide them a better tool to diagnose faults? Automate a tedious manual log? Give clearer, faster view of chronic process issues? If no, the veto remains.
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60 Cybercabs spotted at Giga Texas in largest grouping yet
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60 Cybercabs spotted at Giga Texas today 🤖 Joe Tegtmeyer 🚀 🤠🛸😎 (@JoeTegtmeyer) Happy 8 April (Wednesday) at Giga Texas, especially for those wanting an update on Cybercabs … I saw about 60 of them in two groups in the outbound lot today … the largest grouping yet! Also, looks like at least some of these have white seats and most still have clearly visible steering wheels … I will let you conclude what you wish from that, but these still do not look like the final “production” versions, so perhaps they are testing out some of the new features while testing some of the @robotaxi areas around the country. — https://nitter.net/JoeTegtmeyer/status/2041903913771716853#m
→ View original post on X — @scobleizer, 2026-04-08 16:03 UTC
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Meta AI: Quick Answers, Deep Reasoning, and New Shopping Mode
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5/ meta ai now handles quick answers and deep reasoning with instant and thinking modes. shopping mode is new too—it picks up on the creators, brands, and styling content across our apps and turns that into recommendations.
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Shifting from IT-driven to OT-collaborative industrial solutions
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Traditional approach: seek buy-in for IT-conceived projects.
— Lucian Fogoros (@fogoros) 8 avril 2026
New approach: share ownership of OT-defined problems.
When OT teams become co-authors of solutions instead of defendants against them, the veto disappears.
Partner content with @InfluxDB. #influxdata_iiot #InfluxDB pic.twitter.com/4lBxkkxHY2Traditional approach: seek buy-in for IT-conceived projects.
New approach: share ownership of OT-defined problems.
When OT teams become co-authors of solutions instead of defendants against them, the veto disappears.
Partner content with @InfluxDB
. #influxdata_iiot #InfluxDB
