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Good morning ☀️, leader of the next generation.
We will talk about agents. AI agents.
They will change the way how we do business, how we interract and even how we do our everyday lives.
Agents will build business.
Agents will organize your day.
Agents will fill up your fridge.
I will let that sit in here for a while, so we can imagine and build the future together one agent at a time...
⚡ WHAT'S AT STAKE TODAY ⚡
- 📱🤖 Bond, a new social media platform, wants to use AI to help you kick your doomscrolling habit
- 🎮🤖 AI Dungeon maker Latitude unveils Voyage, a platform for creating AI-powered RPGs
- 🤔💭 It's not just one thing — it's another thing
- 🎵🤝 GRAI believes AI can make music more social, not replace artists
- 📹🔍 YouTube expands its AI likeness detection technology to celebrities
- 📸🗑️ Clarifai deletes 3 million photos that OkCupid provided to train facial recognition AI, report says
- 😤🎯 Sam Altman throws shade at Anthropic's cyber model, Mythos: 'fear-based marketing'
- 💬📝 ChatGPT's new Images 2.0 model is surprisingly good at generating text
- 🧠💰 AI research lab NeoCognition lands $40M seed to build agents that learn like humans
New platform uses AI recommendations to encourage real-world experiences
Bond, a new social media platform, wants to use AI to help you kick your doomscrolling habit
Traditional social media platforms are engineered to keep users endlessly scrolling through addictive feeds, maximizing screen time for advertising revenue. But a growing number of companies are capitalizing on user burnout by promoting real-world experiences and removing addictive design elements.
Bond, which launched Tuesday, represents this new approach. CEO and co-founder Dino Becirovic positions the platform as an AI-powered antidote to America's screen addiction problem.
The platform functions like traditional social media in that users post updates about their activities. However, Bond calls these posts "memories" and supports various formats including photos, videos, and audio files. The key difference lies in Bond's purpose: rather than keeping users engaged on the platform, it's designed to inspire offline activities.
Bond's AI system analyzes user-generated content to provide personalized, real-world recommendations. If you frequently post about craving pho, the system might suggest a highly-rated Vietnamese restaurant nearby. Heavy metal fans might receive notifications about upcoming Iron Maiden concerts in their city. The more memories users share, the better the AI becomes at making relevant suggestions.
"The system is designed to get you off the app and back out into the real world," Becirovic explains, targeting the "bed rotting" and "doomscrolling" behaviors prevalent among younger users.
Visually, Bond resembles Instagram but lacks a traditional feed. Instead, user profiles appear in cluster formations. Clicking profiles reveals current stories, which disappear from public view after 24 hours while remaining privately archived. Users can search their personal memory archives anytime.
The development team includes veterans from major platforms like TikTok, Twitter, and Facebook. Becirovic brings experience from Kleiner Perkins and Index Ventures, while founding researcher Arthur Bražinskas previously worked on user signals integration for Google Gemini.
Bond's monetization strategy diverges significantly from advertising-dependent social media models. Since the platform doesn't feature ads, Becirovic envisions users licensing their archived data to AI companies for model training purposes. Bond would collect small licensing fees, positioning itself as a valuable data provider.
"The idea behind this licensing model is that you can monetize your memories," Becirovic said. "If we become this platform with the right incentive structure to get billions of people to create about their daily lives, we will naturally become a really attractive place for people to want to train GPT six and seven."
Alternative revenue streams could include e-commerce integration, where Bond's accumulated data powers product recommendations. Users would opt into these experiences, with Bond capturing transaction value through improved user experiences and increased conversion rates.
Privacy represents a crucial concern for any data-focused platform. Becirovic emphasizes that Bond will never sell user data for advertising purposes. Users can delete memories through the Memory tab or natural language commands in Memory chat. Complete profile deletion remains available for users not finding value in the platform.
While Bond plans to implement end-to-end encryption as a near-future priority, current security measures involve secure database storage with protected access protocols. As the platform grows, additional privacy control features will be introduced.
For now, Becirovic focuses on building user engagement rather than immediate profitability. "Monetization is not a short-term priority," he stated. "Our initial focus is on creating an application users get more value from the more they capture their memories."
Bond represents an intriguing experiment in social media design, prioritizing real-world experiences over digital engagement while exploring innovative data monetization models that could benefit users directly.
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Latitude launches AI platform for custom RPG creation
AI Dungeon maker Latitude unveils Voyage, a platform for creating AI-powered RPGs
Latitude, creator of AI Dungeon, has launched Voyage, an AI-powered platform enabling users to design custom text-based RPGs. Players can create detailed worlds with settings, quests, and villains, while AI generates unscripted interactions with NPCs.
The platform features Latitude's World Engine, which manages gameplay, tracks characters, and maintains story continuity. Unlike traditional RPGs, players type actions freely, leading to unexpected outcomes. Currently in beta, Voyage will offer subscription plans ranging from $15-$50 with advanced features.
🎙️ The Supercharged Podcast Is Growing
Real Conversations with the People Building the AI Future
The Supercharged Podcast is quickly becoming a space for real, unfiltered conversations about AI — beyond the hype, tools, and surface-level takes.
Each episode dives deep with founders, operators, and builders who are actively working with AI — or building AI-first companies — to uncover how it’s truly changing the way work gets done.
From strategy and systems to real-world execution, these conversations are practical, honest, and focused on what actually works — not just what sounds good.
⚡ Trends for the Future
AI research lab NeoCognition lands $40M seed to build agents that learn like humans
NeoCognition raises $40M to develop self-learning AI agents for enterprises.
Investors are aggressively pursuing AI researchers to build more reliable and efficient artificial intelligence solutions. Yu Su, an Ohio State professor who initially resisted venture capital pressure, finally launched his startup NeoCognition last year when he realized foundational model advances could enable truly personalized AI agents.
NeoCognition has emerged from stealth with $40 million in seed funding, co-led by Cambium Capital and Walden Catalyst Ventures. The round includes participation from Vista Equity Partners and notable angels like Intel CEO Lip-Bu Tan and Databricks co-founder Ion Stoica.
The startup aims to solve a critical problem with current AI agents: reliability. Su explains that today's generalist agents from companies like Claude Code, OpenClaw, and Perplexity only successfully complete intended tasks about 50% of the time. This inconsistency makes them unsuitable as independent workers that businesses can trust.
NeoCognition's approach mirrors human learning patterns. While human intelligence is naturally broad, its true power lies in our ability to specialize rapidly when entering new environments or professions. The company is building agents that can autonomously learn and master the unique rules, relationships, and consequences of any given domain.
"For humans, our continued learning process is essentially the process of building a world model for any profession, any environment," Su said. "We believe for agents to become experts, they need to learn autonomously to build a model of any given micro world."
Unlike existing solutions that require custom engineering for specific verticals, NeoCognition's agents are designed as generalists capable of self-learning and specializing in any domain. The company plans to sell primarily to enterprises and established SaaS companies looking to build agent workers or enhance existing products.
Vista Equity Partners' investment provides strategic value beyond funding, offering direct access to a vast portfolio of software companies seeking AI modernization. NeoCognition currently employs about 15 people, predominantly PhD holders, reflecting its research-focused approach to solving AI reliability challenges.
⚡ Let’s Make AI Actually Useful:
What Would Move the Needle in *Your* Industry?
AI has potential — but generic advice rarely helps.
What would be genuinely valuable for AI to do in your industry right now?
• Automate a painful workflow?
• Improve decision-making?
• Replace a manual process that wastes time?
• Help your team upskill faster?
Tell us what you’d want AI to handle — or where you feel stuck.
We’re using these insights to curate **industry-specific trainings, live webinars, and practical guidance** you can actually apply.
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