#AI Has Changed The Rules Of Compliance. Are Your Leaders Ready? by Krishnaveni Palanivelu @Forbes Learn more: bit.ly/3NIjewd #ArtificialIntelligence #MachineLearning #ML
→ View original post on X — @ronald_vanloon, 2026-04-06 19:49 UTC

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#AI Has Changed The Rules Of Compliance. Are Your Leaders Ready? by Krishnaveni Palanivelu @Forbes Learn more: bit.ly/3NIjewd #ArtificialIntelligence #MachineLearning #ML
→ View original post on X — @ronald_vanloon, 2026-04-06 19:49 UTC
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NVIDIA just killed the awkward pause in voice AI 😱
— Linus ✦ Ekenstam (@LinusEkenstam) 6 avril 2026
PersonaPlex 7B is a real-time conversational model that listens AND speaks simultaneously. Like actually interrupts you mid-sentence like a human.
Beat Gemini Live on dialog naturalness. 18x faster interruptions.
100% open… pic.twitter.com/3Ns0X6O07B
NVIDIA just killed the awkward pause in voice AI PersonaPlex 7B is a real-time conversational model that listens AND speaks simultaneously. Like actually interrupts you mid-sentence like a human. Beat Gemini Live on dialog naturalness. 18x faster interruptions. 100% open
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Check out our list of suggested papers to implement here! alphaxiv.org/shared/folder/0…
→ View original post on X — @askalphaxiv, 2026-04-06 19:38 UTC
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The best way to learn frontier research is to replicate it yourself. And now, you can also win prizes for that! We are excited to announce our partnership with @marimo_io for a competition to bring research to life. All you have to do is pick a paper, build a marimo notebook that brings the core idea to life, and experiment with the research topic. Prizes: Mac Mini + $500! 👀 Deadline: April 26, 11:59 PM PST Individual and team submissions are all welcome Full details found below 👇
→ View original post on X — @askalphaxiv, 2026-04-06 19:38 UTC

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With coSTAR, we replaced manual agent iteration with an automated test and refine loop. Agents run against defined scenarios. MLflow captures execution traces, and LLM judges score the results. A coding assistant then updates the agent until it passes the tests. This cuts
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I love X. Over the last 19 years I built a set of lists of the tech industry. That's at docs.google.com/document/d/1… And what can you do with lists? So much. Have @Pokee_AI or your favorite AI agent platform (Pokee includes the X API in as standard feature so you don't have to pay extra). On Saturday I had it watch my Climate list and make an app where it showed all the storms across America. That took a few minutes. I also built a separate app that watched my news lists (about 14,000 people and organizations) and made me an app to watch news about the Iran war. Lists are the secret. They are purified content for your AIs to use to build new kinds of apps. Like this one, which shows you the best from the AI community here on X: alignednews.com/ai That site could not exist without lists. Why? The X API won't let you find everyone in the AI world (that site reads tens of thousands of posts from 40,000 people and 8,300 companies every day). I spent thousands of hours making the lists and give them to you for free. No one has a set of lists of tech and news like I do, so if you don't use my lists your apps won't be as good, at least about AI and tech (I have a list of all the world news outlets too). And these lists can do a number of things. My site creates a script so you can have @NotebookLM create you a podcast from today's news, for instance. Thanks to the many subscribers I have. I don't do much extra for them but they subsidize my work, which is expensive (I'm spending about $300 a day on X API charges to build Aligned News, something I can't do forever, so my agents are now helping me send notes to investors over on LinkedIn to shake the tree to see if there's some real business here making custom news and market analysis. Something else you can do with my lists. After all, I have lists of more than 10,000 investors here, so AI can tell you about investing trends, and a lot more too. I now get why Elon bought X. AI lets you get a lot more value out of X and in a way very few have really explored. If you are using AI to build new ways to look at X, let me know.
→ View original post on X — @scobleizer, 2026-04-06 19:36 UTC
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So many judging tasks could be improved by aggregating partial orderings, and in the limit, just ordering pairs. The annual Libertarian Futurist Society novel awards discussion is starting, and while I would like to participate on some level, there is no way I have time to read an entire slate of novels. However, I will likely read at least two from the list, and I could give a relative assessment. This cries out for the use of something like ELO ranking, as in chess competition, perhaps with some suggestions to get sufficient coverage. Peer and out-of-chain employee performance calibrations could probably also benefit from a greater quantity of sparse pairwise comparisons
→ View original post on X — @id_aa_carmack, 2026-04-06 19:36 UTC
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I don't see why an LLM should not be able to model emotion in this way!
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a year ago, it was hard enough to build useful agents that most companies didn't have cost issues. that's changed a lot just from the start of this year! use langsmith to track agent costs and alert when anything unexpected happens LangChain (@LangChain) Introducing Cost Alerting in LangSmith 💸 More and more agents are making it to production, and costs are increasing dramatically. Use LangSmith to set configurable alerts on total cost, so you know right away when your agents are spending more than they should. Docs: docs.langchain.com/langsmith… Sign up: smith.langchain.com/ — https://nitter.net/LangChain/status/2041236011439771648#m
→ View original post on X — @langchain, 2026-04-06 19:28 UTC
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Introducing Cost Alerting in LangSmith 💸 More and more agents are making it to production, and costs are increasing dramatically. Use LangSmith to set configurable alerts on total cost, so you know right away when your agents are spending more than they should. Docs: docs.langchain.com/langsmith… Sign up: smith.langchain.com/
→ View original post on X — @langchain, 2026-04-06 19:26 UTC