Good morning, it’s Wednesday. AI never sleeps, and neither do ex-OpenAI execs—Mira Murati just launched a new startup. Plus, HP picks up Humane’s scraps (but leaves the doomed AI Pin behind), AI sales agents are gearing up to outsell humans, and researchers use AI to uncover 320 million years of brain cell evolution.
In today’s Forward Future University article, we break down Perplexity’s move into Deep Research.
Read on!
👤 AGENTS
AI Sales Supremacy: How Machines Will Outsell Humans
The Recap: AI-driven sales agents are on the brink of outmaneuvering human salespeople by leveraging real-time behavioral data and predictive persuasion tactics. Researcher Louis Rosenberg argues that these systems will optimize every interaction, making them vastly more effective at closing deals than their human counterparts.
Highlights:
Advanced AI agents will analyze vocal tone, facial expressions, and word choice in real-time to tailor their sales approach to each individual.
Unlike human salespeople, AI won’t tire, get distracted, or rely on generic scripts—it will continuously refine its tactics based on data.
Existing consumer protection laws do not account for AI-driven persuasive technology, leaving a gap that could be exploited.
These systems could adjust their tone and arguments instantly, maximizing their chances of securing a sale.
The same technology could be applied in politics, negotiations, and even personal relationships, altering how decisions are influenced at every level.
Forward Future Takeaways:
AI-driven persuasion could reshape society by subtly guiding consumer choices, political beliefs, and even personal decisions. Without safeguards, we risk losing autonomy to hyper-personalized, AI-optimized influence. Taking action now could mean the difference between AI as a helpful tool and AI as an invisible manipulator shaping our every move.→ Read the full article here.
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🏫 FORWARD FUTURE UNIVERSITY
Perplexity Enters the Deep Research Arena
Last week, I wrote a piece titled "The Research Revolution: How AI is Rewriting the Rules of Knowledge Work," which focused on AI as a research partner. As this was being published, Perplexity launched a new Deep Research capability that has received high praise, so I wanted to take a look and share my thoughts.
If you haven't tried Perplexity yet, you should. It's excellent at what it does and has become one of my go-to tools for daily use. What is Perplexity? Perplexity is a conversational search engine launched in 2022 that employs artificial intelligence to provide users with direct answers to their questions, complete with citations and sources. Unlike traditional search engines that merely present a list of links, Perplexity AI summarizes information from across the web in natural language, saving users time and effort. Perplexity's value lies in its ability to deliver accurate, well-sourced information, streamline research, and personalize the search experience, making it a user-centric alternative to conventional search engines. It aims to revolutionize how people engage with information by offering a seamless and intuitive conversational search experience.
Perplexity Deep Research lets you generate in-depth research reports on any topic. It's available to everyone for free – up to 5 queries per day for non-subscribers and 500 queries per day for Pro users. It combines advanced web search, reasoning, and coding to iteratively search and refine analysis into clear, comprehensive reports. It also completes most reports in under 3 minutes (OpenAI and Google can take significantly longer). → Continue reading here.
🧬 EVOLUTION
AI Illuminates 320 Million Years of Brain Cell Evolution
The Recap: A recent study harnesses AI-driven deep learning to decode genetic regulatory switches, revealing that while some brain cell types have remained unchanged for over 320 million years, others have uniquely evolved across species.
Highlights:
Certain brain cell regulatory codes have remained unchanged for over 320 million years.
Deep learning models have been utilized to decode genetic regulation across species.
These models hold potential for studying neurological disorders such as Parkinson’s disease.
Researchers analyzed brain data from humans, mice, and chickens to understand evolutionary trajectories.
Regulatory codes for certain bird neurons resemble those of deep-layer neurons in the mammalian neocortex.
Plans are underway to expand these models to study various animal brains and human disease states.
Forward Future Takeaways:
This research exemplifies the power of AI in unraveling the complexities of brain evolution and gene regulation. By identifying both conserved and divergent genetic instructions, scientists can gain deeper insights into neurological disorders and their treatments. The integration of AI in evolutionary biology not only enhances our understanding of the past but also paves the way for future medical advancements. → Read the full article here.
🛰️ NEWS
Looking Forward: Stories Shaping the Future
🏛️ AI-Driven Government Cuts Raise Risks: Elon Musk’s DOGE initiative plans to use AI for federal budget cuts, but experts warn of inefficiencies, security risks, and flawed decision-making without careful oversight.
🦙 Meta Unveils LlamaCon, Its First AI Dev Conference: The event is focused on Meta’s Llama AI models and generative AI tools. The conference aims to attract researchers, startups, and enterprises.
🤖 AI Buyers to Control $30 Trillion by 2030 Machine customers—AI-driven systems making purchases—are projected to handle $30 trillion in transactions within five years.
☢️ AI Boosts Fusion Energy Research: MIT scientists use AI-enhanced simulations to predict plasma behavior in fusion reactors, improving efficiency and confirming ITER’s expected performance before it even switches on.
⚖️ AI ‘Hallucinations’ Cause Trouble for Lawyers: Courts are cracking down on fake AI-generated case citations, with some attorneys facing sanctions. Experts warn legal AI tools must be used with caution and verification.
💼 AI & Humans – A Workplace Balancing Act: MIT research finds AI-human teams often underperform compared to AI or humans alone, excelling in content creation but struggling with decision-making due to trust issues.
📽️ VIDEO
IBM's Quantum Director Talks AI, Breaking Crypto, Basics of Quantum
Matt interviews IBM’s Jerry Chow for an in-depth look at quantum computing—its fundamentals, impact on AI, encryption, and future applications. Chow explains how quantum circuits differ from classical computing, the importance of error correction, and IBM’s roadmap for scalable quantum systems. Get the full scoop below! 👇
🧰 TOOLBOX
Effortless Editing, AI-Generated Music, and Rapid Video Creation
🖼️ Pixelcut AI: Instantly enhance photos with AI-powered tools like background removal, image upscaling, and virtual product photography.
🎶 Jammable AI: Instantly create high-quality AI-generated song covers using your favorite voices—perfect for music lovers and creators.
🎥 Vidnoz AI: Create AI-powered videos 10X faster with realistic avatars, AI voiceovers, and customizable templates.
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🤠 THE DAILY BYTE
Building the Future: Italy’s Robot Takes on Construction
📥 FF INTEL
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