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

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“If you do everything everyone else does in business, you’re going to lose. The only way to really get ahead is to be different.”

~ Larry Ellison

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📣 xAI open sourced X’s recommendation system code

🔸 The repo includes the ranking architecture used by X. Training code and model weights are not included, so it cannot be run end to end.

🔸 Musk says the repository will be updated about once per month. The ranking model design mirrors Grok’s architecture, but Grok itself is not used as the ranker.

This exposes how X structures feed ranking, while keeping the data and training loop private.

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Hubble captured the fastest stellar jets ever observed

🔸 The image shows Herbig–Haro objects HH 80 and HH 81. These are shock heated gas clouds created by a young star blasting ionized material into space.

🔸 The source is IRAS 18162-2048. Its jets travel at over 1,000 km/s, the fastest stellar outflows confirmed in both radio and optical data.

🔸 As the jets collide with slower gas ejected earlier, shock waves heat the clouds and make them glow. The system sits about 5,500 light years away in Sagittarius.

High resolution image is available here

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🎬 A YouTuber tried to beat AI slop with its own weapons

YouTuber Alan Pan recreated three viral AI-generated videos in real life to see if human-made versions could compete.

The builds included a horse-shaped electric scooter, high-heel beer shoes, and a fully functional transparent toilet aquarium with live fish. Each project took days or weeks of real engineering, fabrication, and filming. Some were barely usable and clearly unsafe, but all were finished and published.

Results after three weeks
🔸 TikTok under 10K views per video
🔸 YouTube around 80K views
🔸 Instagram stood out
🔸 Horse scooter at 90K views
🔸 Toilet aquarium close to 500K views
🔸 Beer shoes reached 6 million views

The problem remained. The original AI beer shoes video passed 10 million views.

The takeaway was simple. AI produces this kind of content in seconds, while humans need weeks.

Competing on volume is unrealistic.
Quality may be the only lever left.


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Amodei says software development could be automated within 12 months

🔸 Dario Amodei claims that in 6 to 12 months, AI agents will be able to handle software engineering end to end. Not just writing code, but planning, executing, and shipping systems on their own.

🔸 His core point goes further. Once agents can build software autonomously, they can also build the next generation of agents. That creates a self-reinforcing loop of development speed.

🔸 Amodei admits there are constraints around compute and training time. Even so, he expects an order-of-magnitude acceleration in progress within a few years.

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🔎 ChatGPT starts predicting user age

OpenAI is rolling out an age prediction system worldwide. If an account is flagged as underage, stricter limits on sensitive content are applied automatically. No manual input required.

The move ties to a bigger shift:
🔸 OpenAI is preparing an adult mode for ChatGPT
🔸 App head Fidji Simo said the feature is expected in Q1 2026
🔸 Sam Altman has hinted at 18+ content for verified users

If the system mislabels an adult as a minor, access can be restored through Persona by submitting a selfie for identity verification. The feature reaches the EU in the coming weeks.

With about 800M weekly active users, OpenAI is quietly rebuilding ChatGPT into a regulated media platform, not just a chatbot.

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Apple's 2026 lineup

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This "scrap" sponge became a $926 million business.

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📱 Siri is turning into a real chatbot

Apple is preparing a full reboot of Siri, according to Bloomberg. Internally called Campos, the project replaces the current assistant interface with a built-in AI chatbot across iPhone and Mac.

🔸 Under the hood, Apple is using a custom model based on Google Gemini. The deal reportedly costs Apple about $1B per year, with discussions around running the system on Google’s TPU-based servers. That is a notable shift for a company long focused on on-device privacy.

🔸 The new Siri is designed to search the web, generate images, analyze files, and work directly with personal data across apps. Think voice-driven actions that move from search to edit to send without switching tools.

🔸 Apple is expected to announce the overhaul at WWDC in June, with a release tied to iOS 27 in September. Siri is finally being rebuilt for the chatbot era.

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📍 Apple is working on its own AI pin

Apple is developing a wearable AI device roughly the size of an AirTag, according to The Information. The design is thin, flat, and round, using aluminum and glass. Internally, it is treated as a new product category, not an accessory.

What’s inside:
🔸 2 cameras, including a wide-angle
🔸 3 microphones and a speaker
🔸 A physical side button
🔸 Wireless charging
🔸 Always-on context capture for AI processing

The device is meant to perceive the user’s surroundings and interact through AI, rather than act as a screen-based interface. The project is still early, with a potential launch no earlier than 2027.

The comparison is unavoidable. Humane tried a similar concept and shut it down after weak adoption. At the same time, OpenAI is working on its own device with Jony Ive.

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marketing people discovering Claude Code

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🤖 OpenAI quietly rebuilt a robotics team

OpenAI launched a robotics lab in 2025 that now has about 100 employees, according to Business Insider. The work stayed mostly out of public view while attention focused on models and products.

This is not their first attempt. OpenAI built robotic hands that solved a Rubik’s Cube years ago, then shut that effort down in 2020. Since then, the company backed robotics startups like Figure, 1X, and Physical Intelligence instead of building hardware itself.

What changed:
🖱 A dedicated robotics lab started in early 2025
🖱 The team focuses on data collection, not humanoids
🖱 Robotic arms run tasks like making toast or folding laundry
🖱 Systems operate nearly around the clock to generate training data

There is no confirmed humanoid robot project yet. For now, OpenAI appears to be learning how to train robots reliably, whether to build machines later or to supply the brains for others.

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⭕️ AI neck wearable restores speech after stroke

Researchers at University of Cambridge developed Revoice, a soft fabric choker that helps people with dysarthria speak again without surgery. The device reads throat muscle signals and converts silent speech into fluent sentences in real time.

How it works:
🔸 Textile strain sensors capture muscle vibrations in the neck
🔸 One AI model decodes silently mouthed words
🔸 A second model infers emotional tone from pulse signals
🔸 Output speech is reconstructed with context and emotion

In tests on 5 post-stroke patients, word error rate was 4.2% and sentence error rate 2.9%. Users reported a 55% increase in communication satisfaction. Unlike earlier systems, Revoice adds no delay between words.

The results were published in Nature Communications. Larger clinical trials are still needed, but the approach could extend to Parkinson’s disease and motor neuron disorders.

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Sim card pin explained

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What a bio-hacker's home actually looks like

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🗺 A DeepMind engineer built a full map of New York without writing code

The project is an interactive isometric pixel map of NYC, styled like SimCity 2000. Streets, blocks, and buildings are laid out at city scale, and you can explore it directly in the browser.

The workflow is the point:

🔸 3D city data from CityGML and Google Maps 3D Tiles is rendered with an isometric camera to create a structural base

🔸 Those renders are transformed into pixel-art scenes using generative models, including Nano Banana Pro and a fine-tuned Qwen Image-Edit

🔸 Building coordinates and metadata are tracked so generations are placed consistently across the map

The result is not hand-drawn art and not traditional programming either.

This is what happens when agents replace manual pipelines, even for visual world-building.

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Remember when Mark Zuckerberg took humanity's toughest CAPTCHA test? 😂

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