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If talking to machines felt strange, Meta just made it stranger. Its new Ray-Ban and Oakley glasses come with a neural wristband that reads tiny nerve signals in your hand, letting you text or scroll without saying a word. Meanwhile, OpenAI and Google’s models just outscored the world’s best student coders, World Labs opened Marble for AI-built 3D spaces, and Amazon turned its seller assistant into a full-blown AI agent.
📌 In today’s Generative AI Newsletter:
Meta’s Neural Glasses debut with wristband controls
OpenAI & Google models beat humans at ICPC
World Labs’ Marble builds persistent 3D worlds
Amazon AI Agent takes over Seller Assistant
Special highlight from our network
📱Apple’s Starlink Update Sparks Huge Earning Opportunity
Apple just unlocked a massive income shift. The latest iOS update quietly enabled Starlink satellite support for iPhones.
That’s a game-changer for Mode Mobile.
Their EarnPhone already helped 50M+ users earn $325M+. Now, with Starlink eliminating dead zones, Mode’s reach just went global.
They’re expanding fast and they’re still pre-IPO.
With 32,481% revenue growth and a reserved Nasdaq ticker, Mode is closing in on its potential public debut.
Disclosures:
Mode Mobile recently received their ticker reservation with Nasdaq ($MODE), indicating an intent to IPO in the next 24 months. An intent to IPO is no guarantee that an actual IPO will occur.
The Deloitte rankings are based on submitted applications and public company database research, with winners selected based on their fiscal-year revenue growth percentage over a three-year period.
In making an investment decision, investors must rely on their own examination of the issuer and the terms of the offering, including the merits and risks involved. Mode Mobile has filed a Form C with the Securities and Exchange Commission in connection with its offering, a copy of which may be obtained here.
đź‘“ Meta Launches Neural-Controlled Smart Glasses
Credit: Meta
Meta has introduced three new smart glasses at its Connect 2025 event: the Ray-Ban Display, the Ray-Ban Meta Gen 2 and the Oakley Meta Vanguard. Central to the launch is the Meta Neural Band, a wristband that reads subtle muscle signals to let users control apps and messages without visible gestures or voice commands.
Highlights from the announcement:
Ray-Ban Display: Features an in-lens display for apps, maps, alerts and translations, priced at $799 and shipping September 30.
Neural Band: Uses electromyography to pick up brain-to-hand signals, providing nearly invisible navigation with 18 hours of battery life.
Ray-Ban Gen 2: Doubles battery life to 8 hours, adds 3K Ultra HD video recording and includes conversation focus for noisy environments.
Oakley Vanguard: Targets athletes with 9-hour battery life, water resistance and Garmin integration for live performance tracking.
Meta is positioning smart glasses as its gateway to consumer hardware, offering a lighter path than VR headsets and a chance to compete with Apple and Google. The prediction is that wearables people want to wear, paired with controls that feel natural, could give Meta a foothold in everyday life. Whether subtle wrist signals prove more convenient than phones remains the question.
Special highlight from our network
đź’¬ From chat to real work: meet Incredible
Most LLMs talk. Incredible acts.
The Swedish startup has launched agentic LLMs that can run 1,000+ tasks in parallel across 200+ apps… straight out of the box.
The breakthrough is live-code execution. Instead of moving one task at a time, these models execute everything at once: adding thousands of spreadsheet rows, syncing CRM records, or processing gigabytes of data.
What sets Incredible apart:
200+ native integrations with everyday tools
1,000+ parallel actions in real workflows
Fidelity on structured data, no hallucinations
Scale that goes beyond token limits
Lower cost as a drop-in replacement for incumbents
Less chatbot. More co-workers.
🥇 OpenAI and Google Models Take Gold at ICPC
Image Credit: OpenAI/ICPC
The International Collegiate Programming Contest (ICPC) is the world’s most prestigious university coding competition. Each year, student teams face a five-hour sprint to solve a dozen algorithmic problems that demand deep mathematical reasoning, creativity and flawless implementation. OpenAI’s GPT-5 and Google’s Gemini 2.5 Deep Think both competed under official rules this month, matching and surpassing the best human university teams.
Results from the finals:
OpenAI: GPT-5, paired with an experimental reasoning model, solved all 12 problems, a perfect score that would have ranked first above 139 human teams.
Google: Gemini 2.5 Deep Think solved 10 of 12 problems, including one no human team could answer, earning gold-medal status.
Top humans: The best student team solved 11 problems in five hours.
Track record: The wins follow AI gold medals at the International Mathematical Olympiad and the International Olympiad in Informatics earlier this year.
The contest still runs on caffeine, whiteboards and code. The difference is that two of the best coders in the room no longer have student IDs. For decades, these contests have measured the limits of human algorithmic skill. Now, they are becoming benchmarks for reasoning systems, raising new questions about what competitions test when machines play at the same table.
🌍 World Labs Opens Marble, a Portal to AI-Built Worlds
Image Credit: World Labs
World Labs has launched Marble, a beta platform that turns text or image prompts into persistent 3D environments. The worlds can be explored without collapsing or morphing, a step beyond the half-formed depth maps and point clouds of earlier tools. They can be exported as Gaussian splats, stitched into larger scenes and rendered through Spark, an open-source library that works on the web, in VR, or on a laptop.
What Marble can do right now:
Prompt to place: Generate everything from crypts to cartoon houses to low-poly dreamscapes.
Geometry that holds together: Navigate full 3D scenes instead of paper-thin surfaces.
Scale and stitch: Combine multiple generations into larger, coherent environments.
Practical uses: Testers include filmmakers planning shots, VR artists tinkering with storytelling and game developers experimenting with interactive content.
Marble shows how generative AI is moving from flat images into spatial design. But there are limits. The model builds environments, not detailed objects and current scenes are closer to room-sized sets than vast landscapes. While Marble is still in its early days, it gives creators the strange new power of building worlds with words, then wandering inside to see what those words become.
đź›’ Amazon Turns Seller Assistant Into an AI Agent
Image Credit: Amazon
Amazon has upgraded Seller Assistant into a full AI agent that can monitor accounts, manage inventory, flag compliance risks and even develop business strategies for the millions of independent sellers on its platform. Powered by Amazon Bedrock, Nova and Anthropic’s Claude, the system now moves beyond answering questions to taking proactive steps when authorized.
What the AI agent can do:
Inventory management: Flags slow-moving products before storage fees hit, with recommendations to adjust pricing or remove items.
Regulatory checks: Monitors listings for safety compliance across different markets, reducing legal and reputational risks.
Strategy support: Analyzes demand patterns, prepares shipment plans and suggests broader growth tactics.
Ad creation: Generates advertising campaigns through conversational prompts, expanding Amazon’s agent-driven tools into marketing.
More than 60 percent of Amazon’s sales come from independent sellers, who have generated $2.5T to date. Seller Assistant is pitched as a business partner that can lighten their workload, but it also deepens dependence on Amazon, where the same system acts as both advisor and gatekeeper.
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