It's called Computer for Counsel. Not a chatbot with a law-themed prompt — an agentic system that runs the grunt work: NDA review, case research, regulatory monitoring. The catch that matters: every output links back to the real statute, filing, or ruling.
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Perplexity AI addresses lawyers’ fear of hallucinated legal citations
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Lawyers' biggest AI fear? Citing a case that doesn't exist.
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 25 juin 2026
Two years of peers getting sanctioned for AI-hallucinated citations made "just trust the model" a non-starter in legal. @perplexity_ai just shipped something built around that exact fear. 🧵 pic.twitter.com/RpEcMQi1ySLawyers' biggest AI fear? Citing a case that doesn't exist. Two years of peers getting sanctioned for AI-hallucinated citations made "just trust the model" a non-starter in legal. @perplexity_ai just shipped something built around that exact fear.
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Superintelligence book promotion and AI bestsellers on Amazon
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“Superintelligence — Paths, Dangers, Strategies” (top selling AI book on Amazon): http://
amzn.to/4uLIsdK See more Artificial Intelligence bestsellers for reading, learning, growing your knowledge, and advancing your career: http://
amzn.to/2YRE6Sj -
LLMs should request delay for hard questions or provide quick guesses
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This asynchrony really should exist in normal one-on-one chatbot interactions. When you pose ask a hard question to an LLM it should say, immediately, “This is a hard problem — give me 15m.” If that’s an issue, you should be able to say so and get a quicker guess.
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Insider’s Guide to ML System Design Interview with Diagrams and Framework
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Insider's guide to the Machine Learning System Design Interview: https://
amzn.to/47QOwEQ v/ @bytebytego 10 real questions & detailed solutions 211 diagrams to visually explain how various systems work 7-step framework to solve any #ML system design question -
AI Agents in Action: Hands-on with OpenAI Assistants API and patterns
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AI Agents in Action: http://
amzn.to/44kbHsL v/ @ManningBooks Gain hands-on experience in these areas: Understand & implement AI agent behavior patterns Design & deploy production-ready intelligent agents Leverage the OpenAI Assistants API and complementary tools -
Text-to-Image Generator from Scratch with Transformers and Diffusions
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Build a Text-to-Image Generator (from Scratch), with transformers and diffusions: http://
amzn.to/3MFbyK4 by @mark_h_liu v/ @ManningBooks -
Book: Machine Learning for Tabular Data with XGBoost and Deep Learning
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Excellent book from @ManningBooks >> "Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI," by @MarkRyanMkm & @lucamassaron Get it here: http://
amzn.to/41J8WA6 • Master XGBoost
• Apply deep learning to tabular data
• Deploy models locally and in the cloud
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Build a Large Language Model from Scratch by Sebastian Raschka
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Build a Large Language Model (From Scratch): http://
amzn.to/3WYFNO5 by @rasbt v/ @ManningBooks #DataScience #DataScientist #MachineLearning #ML #LLMs #AI #GenAI -
Prefer AI SVGs over images, limit to 4 AI slop slides
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lots of folks prepping talks next week (congrats!). Some thoughts from RLing on thousands of hours of engineer- and researcher- focused talks: – AI generated svgs > AI generated imgs. MAXIMUM 4 ai slop images in your slides, I don't care how pretty your mom thinks they are