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This AI 3D tool is on another level. A dragon head and a dungeon NPC. Both from a single image. Here is how:

This AI 3D tool is on another level. A dragon head and a dungeon NPC. Both from a single image. Here is how:

141,349 Aufrufe

Unbelievable. This is just a 3 years difference in AI progress

Unbelievable. This is just a 3 years difference in AI progress

104,123 Aufrufe

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🚨 BREAKING: Google Research just dropped the textbook killer. Its called "Learn Your Way" and it uses LearnLM to transform any PDF into 5 personalized learning formats. Students using it scored 78% vs 67% on retention tests. The education revolution is here.

🚨 BREAKING: Google Research just dropped the textbook killer. Its called "Learn Your Way" and it uses LearnLM to transform any PDF into 5 personalized learning formats. Students using it scored 78% vs 67% on retention tests. The education revolution is here.

441,365 Aufrufe • vor 5 Monaten

Stanford research found voice is 3x faster than typing. What takes 25 minutes to type takes 8 minutes to speak. And the AI transcription tools (like Wispr Flow) is so good, you barely need to touch your keyboard :

Stanford research found voice is 3x faster than typing. What takes 25 minutes to type takes 8 minutes to speak. And the AI transcription tools (like Wispr Flow) is so good, you barely need to touch your keyboard :

301,574 Aufrufe • vor 3 Monaten

Call centers have maybe like 2 years left. Max. You can literally build a voice agent for any business in <10 min using Poly. 5 craziest agents I found: 1. RyanAir

Call centers have maybe like 2 years left. Max. You can literally build a voice agent for any business in <10 min using Poly. 5 craziest agents I found: 1. RyanAir

112,629 Aufrufe • vor 3 Monaten

Anyone who’s worked in QA knows the gap. Requirements live in one place and tests live somewhere else. Every change creates another round of rewriting. Kane AI by TestMu AI (formerly LambdaTest) approaches that gap differently. Instead of forcing teams to rewrite tests in a new abstraction, it lets you describe intent in natural language and turns that into structured, executable tests that can be exported into your existing frameworks. During exploration, the most practical part wasn’t just test generation, it was how expressive the language layer is. Complex assertions, branching conditions, and validations can be described without switching mental modes into code, but the resulting output still integrates cleanly with real pipelines. There’s also a strong emphasis on API coverage and auto-bug detection, which matters when UI tests aren’t enough. Kane AI by TestMu AI (formerly LambdaTest) can detect failures during execution and attempt self-healing based on original intent, while still requiring review and validation from the team. It doesn’t pretend QA disappears. It acknowledges QA is hard, contextual, and constantly changing. That honesty makes it useful. If you’re dealing with test maintenance and curious how natural-language testing fits into real QA work, Kane AI by TestMu AI (formerly LambdaTest) is available to try. See it in action: TestMu AI

Anyone who’s worked in QA knows the gap. Requirements live in one place and tests live somewhere else. Every change creates another round of rewriting. Kane AI by TestMu AI (formerly LambdaTest) approaches that gap differently. Instead of forcing teams to rewrite tests in a new abstraction, it lets you describe intent in natural language and turns that into structured, executable tests that can be exported into your existing frameworks. During exploration, the most practical part wasn’t just test generation, it was how expressive the language layer is. Complex assertions, branching conditions, and validations can be described without switching mental modes into code, but the resulting output still integrates cleanly with real pipelines. There’s also a strong emphasis on API coverage and auto-bug detection, which matters when UI tests aren’t enough. Kane AI by TestMu AI (formerly LambdaTest) can detect failures during execution and attempt self-healing based on original intent, while still requiring review and validation from the team. It doesn’t pretend QA disappears. It acknowledges QA is hard, contextual, and constantly changing. That honesty makes it useful. If you’re dealing with test maintenance and curious how natural-language testing fits into real QA work, Kane AI by TestMu AI (formerly LambdaTest) is available to try. See it in action: TestMu AI

61,494 Aufrufe • vor 4 Monaten

Your LinkedIn isn't growing because consistency is hard, not because your ideas are bad. Not because your ideas are wrong. Because you can't execute consistently. That's why I've been using a LinkedIn content agent that actually builds your brand for you: → Upload a PDF, link, or idea. Get a post in seconds. → It learns your voice, tone, and audience — once. → Plan a full week of content in 30 minutes. → Built-in scheduling. No context switching. ChatGPT can write. Dynal is built to perform on LinkedIn. Three months from now, people will either know what you stand for.Or they won't. Try it free → Discount code: Highlt26Q1, 20% off Valid until May 31st (Pacific Time). Dynal.AI

17,399 Aufrufe • vor 3 Monaten

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