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Startups & Ventures
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A hub for startup news, trends, and insights, covering the global startup ecosystem for founders, investors, and innovators.

Community: @startupdis
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👓 China’s Li Auto just unveiled smart glasses that control your car

Chinese EV maker Li Auto (Lixiang) has introduced its own pair of smart glasses designed to act as a remote control and AI interface for its vehicles, expanding the company’s in-car ecosystem beyond the dashboard.

🔸 Through Li Auto’s Lixiang Livis system, users can summon their car from a parking lot, open the trunk, pre-cool or heat the cabin, and manage other vehicle functions directly from the glasses.

🔸 The glasses also double as a first-person camera, with Sony image sensors built into the frame, allowing drivers to record hands-free POV video.

🔸 An AI assistant is integrated into the device, enabling voice commands and contextual assistance while on the move.

🔸 Li Auto claims the glasses offer up to 19 hours of battery life, positioning them as an all-day wearable rather than a short-use gadget.

The launch underscores how Chinese EV makers are increasingly blending cars, AI, and wearables into a single platform, turning vehicles into extensions of personal computing rather than standalone machines.


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🌐 A browser that builds apps instead of showing links

Instead of returning a list of blue links, Disco turns your search query into a working mini-app, generating tools, maps, and calculators on the fly based on what you’re trying to do.

🔸 Ask Disco to plan a trip to Japan, and it creates an interactive route map with attractions. Say you’re moving cities, and it assembles a weight calculator and carrier price comparison tailored to your move.

🔸 Disco is an experimental browser from the Chrome team, born out of an internal Google hackathon and now rolling out publicly through Chrome Labs.

🔸 The browser is built around GenTabs, a concept where the Gemini AI interprets your request, opens relevant websites in the background, and stitches their information into a personalized, task-specific app.

🔸 The system works both ways: if you open a hotel or article in a neighboring tab, GenTab pulls that data in automatically and updates your plan.

🔸 Early versions struggled because users ignored links shown inside chat and kept talking to the bot. The team fixed this by having the browser itself open sources, nudging users to actually explore the web and early data suggests it worked.

🔸 Big questions remain unanswered, including whether GenTabs can be saved, shared, or exported to tools like Google Docs. Even the team admits these decisions haven’t been made yet.

Disco isn’t meant to replace Chrome, it’s a standalone experiment testing whether the future of the web lies in temporary, AI-assembled apps built for a single task, then discarded.


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📱An iPhone case with a screen on the back and extra storage

Accessory maker Dockcase has unveiled Selfix, a case for the iPhone 17 Pro that tackles two common pain points at once: better selfies and more storage.

🔸 On the back of the case is a 1.6-inch AMOLED display (480×480), fully touch-enabled, that works as a rear viewfinder. Flip the phone around, frame yourself on the screen, and shoot selfies using the main camera system instead of the front camera.

🔸 The result is significantly higher-quality selfies, leveraging Apple’s primary sensors rather than the lower-end front-facing camera.

🔸 Selfix draws power directly from the iPhone, meaning slightly higher battery drain, but no extra charging, pairing, or setup is required, snap it on and it works. The case also doubles as a pop socket for grip.

🔸 The second feature is a microSD card slot supporting up to 2TB, offering expandable storage, something iPhones still lack natively.

🔸 Rear displays aren’t new, Android phones like the LG V10, Meizu Pro 7, and more recently Xiaomi 17 Pro have tried similar ideas but Selfix is unusual because it delivers the concept as a simple accessory, not a custom phone design.

Selfix will launch in Oat White, Blush Pink, and Midnight Black. Pricing and release timing haven’t been announced yet, but the case hints at a future where accessories meaningfully extend what phones can do without replacing them.


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⚛️ Google is building nuclear data centers and AI is the reason

Artificial intelligence needs power, enormous amounts of it and Big Tech is increasingly turning to nuclear energy as the only realistic long-term solution. Google is now making that bet explicit.

🔸 Google announced a major expansion of its partnership with NextEra Energy, one of North America’s largest power producers, to build gigawatt-scale data center campuses across the US. The first three sites are already under active development.

🔸 The partnership isn’t new. About 3.5 GW of generation capacity is already operating or under contract, and the companies recently agreed to add 600 megawatts of clean energy to the Oklahoma grid to support Google’s growing infrastructure.

🔸 The most notable shift is the planned restart of the Duane Arnold Energy Center nuclear plant in Iowa. NextEra has filed with FERC to regain grid connection rights, a sharp reversal from earlier plans to replace the site with solar generation.

🔸 Beyond power generation, Google Cloud will support NextEra’s digital transformation, deploying AI models like TimesFM 2.5 for time-series forecasting and WeatherNext 2 for weather prediction to optimize grid operations and reduce failure risks.

🔸 The first commercial product from this collaboration is expected to launch on the Google Cloud Marketplace by mid-2026, signaling that energy optimization itself is becoming a cloud software business.

Renewables alone can’t keep up with AI, and nuclear is quietly re-emerging as the backbone of next-generation data centers.


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🧠 “Google’s biggest mistake was underestimating transformers” — Sergey Brin

Stanford has published a revealing Q&A with Sergey Brin, where the Google co-founder reflects on how the company that invented key AI breakthroughs still lost momentum to OpenAI.

🔸 Brin argues that OpenAI’s success wasn’t purely technical. The real edge was belief, belief in scaling models aggressively and in making chatbots a core product, not just a research demo.

🔸 Google, he says, didn’t fully commit to transformers after publishing the landmark 2017 paper “Attention Is All You Need.” The architecture existed, but the company wasn’t willing to invest billions early enough to see where scaling could lead.

🔸 The same hesitation applied to chatbots. Google avoided releasing them widely because they “sometimes talked nonsense,” prioritizing product safety and brand risk over speed and experimentation.

🔸 OpenAI took the opposite approach: ship early, iterate in public, and accept imperfections, a strategy that ultimately captured users, mindshare, and capital.

🔸 Brin’s most striking thought experiment: what if Google had kept transformers closed and poured a few billion dollars into scaling them back in 2017?

The lesson is uncomfortable but clear: having the breakthrough matters less than having the conviction to bet on it early — and publicly.


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🔥 Red Bull made the biggest Tetris in the world

The finalists of the Tetris tournament played on 2,800 drones, which displayed falling figures in real time

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Google launches Gemini Agent, its first true AI assistant that acts for you

Google has rolled out Gemini Agent, a new AI system designed to operate on behalf of users directly in the browser, marking a major step toward practical, action-oriented AI assistants.

🔸 Premium and limited launch. For now, Gemini Agent is available only in the U.S. and exclusively to users on the Gemini Ultra plan, priced at $250 per month, positioning it as a high-end, early-access product.

🔸 An agent that actually does things. Unlike chat-based assistants, Gemini Agent can navigate websites, gather information, compare prices, and complete tasks such as booking hotels, rental cars, and other services, effectively acting as a digital concierge.

🔸 Built on Gemini 3. The agent is powered by Gemini 3, Google’s latest model, enabling it to understand complex instructions, reason across multiple steps, and interact with real web interfaces rather than just generating text.

🔸 Cross-platform support from day one. Gemini Agent works on desktop browsers and mobile apps, allowing users to hand off tasks seamlessly across devices.

Google is moving beyond AI that answers questions toward AI that executes workflows, a direct challenge to startups building autonomous agents and a signal that consumer AI is entering its “do the work for you” phase.


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🔐 A popular VPN extension was secretly collecting AI chats

A security investigation by Koi Security revealed that the Urban VPN browser extension has been silently collecting users’ conversations with AI tools, raising serious privacy concerns around browser add-ons marketed as “free” and “secure.”

🔸 Millions of users may be affected. Urban VPN has over 6 million installs on Chrome, and together with related extensions from the same publisher, the total reach exceeds 8 million users across Chrome and Edge.

🔸 AI conversations were fully captured. The extension intercepted entire AI chats, including user prompts, AI responses, timestamps, and metadata. Affected platforms reportedly include ChatGPT, Claude, Gemini, Copilot, Perplexity, Grok, and Meta AI.

🔸 The data capture was deeply embedded. Researchers found that the extension injected hidden noscripts into AI websites, overriding core browser functions like fetch() and XMLHttpRequest() allowing it to read conversations before they appeared on screen.

🔸 “AI protection” claims were misleading. While Urban VPN promoted an “AI protection” feature, the investigation found that data harvesting ran continuously in the background and could not be disabled without uninstalling the extension entirely.

🔸 Updates rolled out silently. The behavior was introduced in a July 2025 update and automatically deployed to users, meaning many had no idea their AI conversations were being collected.

🔸 The data was monetized. According to the report, captured conversations were shared with a data broker affiliate and used for analytics and commercial purposes.

Free VPNs and browser extensions can come with hidden costs and in the AI era, your private conversations may be far more exposed than you think.


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Robots are not yet ready to completely replace humans, even in warehouses.

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OpenAI responds to Nano Banana with GPT Images

OpenAI has unveiled GPT Images, its new image generation and editing model, positioning it as a direct answer to fast-moving competitors like Nano Banana.

🔸 OpenAI promises photorealistic output and much stronger instruction following, especially for complex prompts where small details actually matter.

🔸 A major focus is high-quality image editing including multi-step edits where faces, identities, or specific elements must remain unchanged across revisions.

🔸 Image generation is now up to 4× faster, signaling a push toward real-time creative and agentic workflows rather than slow, batch-style generation.

🔸 In ChatGPT Images, the model is already available to all users, including free users (usage limits exist, but haven’t been clearly disclosed yet).

🔸 For developers, OpenAI has released GPT Image 1.5 in the API, positioning it as a production-ready image model rather than a demo toy.

OpenAI is clearly treating image generation as core infrastructure, not a side feature.


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🧬 OpenAI put GPT-5 into a real biology lab and it made DNA cloning 79× more efficient

OpenAI has run a first-of-its-kind experiment with GPT-5 operating inside a real wet lab, working in a closed loop with scientists at Red Queen Bio to optimize a core molecular biology process.

🔸 This wasn’t a simulation. GPT-5 proposed hypotheses and protocols, humans and lab robots executed them, measured real biological outcomes, and fed the results back to the model for the next iteration.

🔸 The task was Gibson Assembly, a standard DNA cloning technique taught in basic molecular biology. The optimization metric was simple and objective: the number of successful colonies.

🔸 Gibson Assembly is old, well-studied, and rarely optimized in practice, doing so is labor-intensive and usually yields only 2–3× improvements, if any.

🔸 Over multiple experimental cycles, GPT-5 achieved a 79× increase in efficiency, with results that were stable and reproducible across runs.

🔸 The key insight: GPT-5 suggested adding two known proteins, RecA and gp32 into the same reaction, a combination no one had previously tested specifically for cloning, despite both proteins being well understood individually.

🔸 This isn’t a scientific revolution or a new biological principle, more like the output of a very strong PhD student focused on a narrow, technical problem.

🔸 What is new is the role shift: GPT-5 wasn’t just generating text or running agents, it became an active participant in a physical scientific process, learning from the real world in a feedback loop.

The takeaway isn’t “AI solved biology”, it’s that language models are starting to cross the boundary between software and reality. And once that loop is open, the pace of experimentation changes dramatically.


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⚡️ Google launches Gemini 3 Flash

Google has introduced Gemini 3 Flash, positioning it as a frontier-level model optimized for speed, cost, and low latency, aimed at real production workloads rather than showcase demos.

🔸 Google claims fast reasoning and strong coding performance, with full multimodality designed for day-to-day deployment, not experimental use.

🔸 On GPQA Diamond and Humanity’s Last Exam, benchmarks targeting PhD-level reasoning, Gemini 3 Flash performs confidently, signaling parity with higher-end models on hard academic tasks.

🔸 On MMMU Pro, a challenging multimodal benchmark, Flash nearly matches Gemini 3 Pro, despite being positioned as a lighter, faster model.

🔸 In efficiency terms, Flash is significantly faster than Gemini 2.5 Pro, while also consuming fewer tokens, improving both latency and cost.

🔸 On SWE-bench Verified, Gemini 3 Flash outperforms not only the entire 2.5 series but also Gemini 3 Pro, highlighting its strength in real-world software engineering tasks.

Gemini 3 Flash is about making frontier-level intelligence cheap, fast, and deployable, which is where the real competition is shifting.


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ChatGPT is getting its own App Store

OpenAI has opened submissions for ChatGPT apps, marking a major step toward building a full platform where third-party developers can expand the chatbot’s capabilities.

🔸 Apps are integrations that add actions and context directly in chat from ordering products to turning sketches into presentations or finding apartments, all without leaving ChatGPT.

🔸 For developers, OpenAI released a beta Apps SDK, an open-source UI component library, and detailed submission guidelines. Apps can be submitted via the OpenAI Developer Platform, with moderation status tracked. First approved apps are expected early next year.

🔸 Discovery and control: Recommendations will use conversation context, usage patterns, and user preferences. Users can disable any app at any time, instantly revoking data access.

🔸 Monetization: Initially, developers can redirect users to external sites for physical goods; support for digital products and in-app monetization is planned later.

OpenAI is clearly aiming to make ChatGPT a full ecosystem, following a path similar to Apple’s App Store.


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🤖 Scientists build bacteria-sized programmable robots

Researchers at the University of Pennsylvania have created the world’s smallest autonomous robots, measuring just 0.2 × 0.3 × 0.05 mm, roughly the size of a single-celled organism.

🔸 Fully self-contained: Each robot includes a processor, temperature sensor, and movement system with no moving parts, making them highly resilient.

🔸 Powered by light: Most of the robot’s surface is covered in solar cells that provide energy and receive light-based commands. Each unit has a unique identifier for individual control.

🔸 Swimming mechanism: Ordinary propellers don’t work at this scale because water behaves like syrup. Instead, robots generate electric fields that push ions, moving water molecules to create traction.

🔸 Ultra-low power brain: Developed at the University of Michigan, the processor consumes only 75 nanowatts about 100,000× less than a smartwatch.

🔸 Sensors and behavior: Temperature sensors detect changes as small as 0.3°C, and the robots can move toward heat or signals, coordinating like a school of fish.

🔸 Scalable and cheap: Manufactured via lithography on silicon plates, hundreds at a time, costing ~1 cent per robot.

These micro-robots could open doors to precision sensing, medical applications, and swarm robotics at an unprecedented scale.


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Build your own cloud storage with a simple, browser-based interface

A lightweight tool lets you manage your server or personal storage with ease, without installing any software.

🔸 Browser-based: Works entirely in the browser, no installations needed.

🔸 Core file operations: Upload, download, rename, and delete files effortlessly.

🔸 Link sharing: Download files via a link and set permissions for colleagues or friends.

🔸 Versatile: Ideal for servers, home NAS, or personal storage setups.

🔸 Free: No cost to use, making it an accessible DIY cloud solution.

This tool brings full cloud functionality to your own infrastructure with minimal setup.

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