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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.

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🤖 Russia’s first humanoid robot AIdol collapses during live debut

In Moscow, developers unveiled AIdol, touted as Russia’s first anthropomorphic robot capable of walking, handling objects, and interacting with humans. The event, however, didn’t go as planned.

🔸 The robot entered the stage to the Rocky theme, accompanied by two handlers.
🔸 Moments later, AIdol fell mid-presentation, prompting staff to shield it from the audience while addressing the issue.
🔸 Developers said the incident stemmed from a test configuration error, noting the project remains in its trial stage.

Despite the stumble, the demo highlights how far and how fragile, the push toward humanoid robotics still is.


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🎵 An AI-generated song tops Billboard for the first time ever

For the first time in history, a fully AI-created track has reached #1 on the U.S. Billboard chart. The song, “Walk My Walk” by the fictional artist Breaking Rust, has already surpassed 1 million streams on Spotify.

🔸 The track was entirely generated by AI, with no human performer behind it.
🔸 It spread virally across streaming platforms and social media before users realized it wasn’t real.
🔸 Spotify, now flooded with AI-made tracks, has no plans to curb the influx, signaling a new era for digital music.

If algorithms can now make hits, what happens to the concept of a “musician” itself?


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🚀 OpenAI rolls out GPT-5.1 with “Instant” and “Thinking” modes

OpenAI has released GPT-5.1, a major update introducing two new models designed for different user needs, one for fast, natural conversation and another for deep reasoning.

🔸 GPT-5.1 Instant brings back the warmth and humor users missed from GPT-4o, offering quick, engaging replies that feel more human.
🔸 GPT-5.1 Thinking is optimized for complex reasoning, it adapts its response time to question difficulty, thinking longer on hard problems and speeding through easy ones.
🔸 The update responds directly to user feedback that GPT-5 felt “cold” and overly mechanical, restoring balance between personality and precision.
🔸 Older models remain in the legacy section for three months, while the new lineup rolls out first to paid users.

With GPT-5.1, OpenAI is clearly splitting its path, one branch for warmth and speed, the other for depth and intelligence.


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🎙 Fireflies founders faked their AI for a year, now it’s a $1B unicorn

In 2016, the co-founders of Fireflies, now a unicorn meeting intelligence startup, promised clients an AI that could automatically join and transcribe calls. There was just one catch, the AI didn’t exist yet.

🔸 For the first year, the two founders personally joined every client call, manually tracking who spoke and what was said.
🔸 The service cost $100 per month, covering about 100 meetings, while customers believed an autonomous system was behind it.
🔸 A year later, they built the real automation, eventually raising $19M and reaching a $1B valuation.

Today it’s a legendary MVP story, but it raises the timeless startup question: when does “fake it till you make it” cross from hustle to scandal?


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⚙️ You can now steer ChatGPT mid-response

OpenAI just added a small but powerful feature, you can now update your prompt while ChatGPT is responding, instead of stopping and starting over.

🔸 Simply hit “Update” to tweak your query on the fly, add missing details, correct instructions, or shift direction (“Use Java instead of Python,” “Make it less formal,” etc.).
🔸 Works even in Deep Research mode, where responses take longer and restarting would waste time.
🔸 It feels minor, but it transforms how you interact with long-running or complex tasks, making conversations more iterative, flexible, and human-like.

A quiet update, but one that makes ChatGPT feel less like a black box and more like a real-time creative partner.


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🌍 World Labs makes its 3D world-generation model “Marble” available to everyone

World Labs, the spatial-AI startup co-founded by Fei-Fei Li, has opened access to Marble, a generative model that can create full three-dimensional worlds from text, images, video, or existing 3D layouts.

🔸 Marble can generate persistent, editable 3D environments and export them as meshes, Gaussian splats, or video for use in games, film, and simulation.
🔸 The model accepts multimodal inputs from a single photo to multi-view video and includes an editor called “Chisel” for sketching rough 3D structures before applying style and detail.
🔸 World Labs positions Marble as a step toward richer “spatial intelligence,” enabling designers, creators, and robotics teams to build virtual worlds far faster than traditional workflows allow.

Generative AI is moving beyond text and images into full spatial understanding, turning world-building into a prompt-driven process.


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📉 These professions are projected to face the steepest declines in the next 10 years

According to U.S. Bureau of Labor Statistics forecasts, several occupations especially routine or easily automated roles are expected to shrink significantly through the coming decade. The pattern will echo in many other countries as well.

🔸 Typists and word processors top the list, with the sharpest projected decline as digital tools and AI fully replace manual text-handling work.
🔸 Office and administrative support roles, clerks, data-entry operators, and similar routine desk jobs are set for sustained contraction as automation boosts productivity.
🔸 Traditional retail workers, especially in brick-and-mortar stores, are expected to steadily decrease as e-commerce and automated checkout systems expand.
🔸 Certain manufacturing and production jobs, particularly repetitive, rules-based tasks, are projected to shrink as advanced robotics continue to penetrate factories.

A clear signal: the next decade will be toughest on occupations built around repetition and routine, while roles rooted in creativity, care, or complex decision-making will remain far more resilient.


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⚠️ A new “Machine ID reset” hack targets Cursor’s licensing model

Some users have discovered a third-party tool that forcibly resets Cursor’s Machine ID effectively tricking the IDE into granting unlimited Pro mode access.

🔸 The tool claims to support Windows, macOS, and Linux and works with Cursor versions 0.49.x.
🔸 It promises to remove all trial restrictions without creating new accounts.
🔸 Cursor has not commented yet, but such hacks usually violate terms of service and pose malware/security risks for developers.

The spread of these tools shows how explosive demand for AI coding assistants has become and how quickly cracks appear when a product scales faster than its licensing system.


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🚀 Blue Origin sticks its first New Glenn booster landing

Bezos’s Blue Origin has finally nailed a successful landing of the New Glenn first stage, marking a breakthrough moment for the heavy-lift rocket after more than a decade of development.

🔸 The mission delivered two NASA Mars probes into orbit before the booster touched down on a floating Atlantic platform just 10 minutes after launch.
🔸 New Glenn, in development since 2012, can haul up to 45 tons to orbit, making it one of the most capable commercial rockets ever built.
🔸 This was only the rocket’s second flight: the debut in January ended with the stage being lost during recovery.
🔸 The successful landing moves Blue Origin much closer to routine reusability, a capability long dominated by SpaceX.

Progress cannot be stopped and New Glenn is finally starting to look like the rocket Blue Origin promised.


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🔎 NextGen Tools launches as a universal search engine for new AI services

A new AI discovery engine called NextGen Tools has been released, promising a single place to track every emerging AI product across the internet.

🔸 The platform aggregates all newly launched AI tools, ranking them by freshness and user rating.
🔸 Users can browse everything from text and image generators to advanced agents, workflow automators, trackers, and parsers.
🔸 The goal: eliminate the chaos of fragmented AI directories and give builders, creators, and researchers one clean feed of what’s new.

As the AI ecosystem explodes, tools like this are becoming essential not just for discovery, but for keeping pace with the speed of innovation.


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⚙️ OpenAI finally fixes ChatGPT’s notorious em-dash habit

OpenAI has rolled out a small but long-requested update: ChatGPT will now actually stop using em-dashes if you tell it to, addressing one of the model’s most persistent stylistic quirks.

🔸 The fix applies through Custom Instructions, users can now specify “don’t use em-dashes,” and the model will reliably comply.
🔸 Sam Altman called it a “small-but-happy win,” after months of users complaining that ChatGPT ignored explicit requests to avoid the punctuation.
🔸 The em-dash had become a recognizable “AI tell,” appearing even in contexts where human writers rarely used it.
🔸 OpenAI says this is part of a broader push to give users finer control over tone, formatting, and writing style.

A tiny update on paper, but a meaningful one, especially as AI-generated text blends deeper into everyday writing.


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🤖 A new top-tier presentation generator just dropped Allweone

A fresh AI tool called Allweone is blowing up: it creates full presentations from a single prompt and instantly fills them with visuals.

🔸 Generates slides, images, and charts on any topic automatically.
🔸 Everything is editable right after creation, no rigid templates.
🔸 Completely free to use at launch.

A strong new contender in the race for AI-native presentation tools.


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⚠️ Jimmy Wales walks out of interview after a 48-second dispute over being “founder” vs “co-founder”

On the German political podcast Jung & Naiv, Wikipedia’s Jimmy Wales lasted just 48 seconds before abruptly leaving all because the host asked whether he is the founder or co-founder of Wikipedia.

🔸 The question hit a 20-year nerve: while Wales introduced himself as the founder, early press and Wikipedia itself list Larry Sanger as co-founder, a point Wales has long rejected.
🔸 In 2005, Wales was caught editing his own Wikipedia page to downplay Sanger’s role, sparking a scandal that cemented the rift between them.
🔸 Host Thilo Jung is known for blunt opening questions; Wales seemingly expected a light interview and instead got the one topic he considers “the dumbest controversy in the world.”
🔸 When Jung insisted co-founder status is a “matter of fact,” Wales called it “a matter of opinion” and walked out.

The clip went viral, and Wales’s insistence that he “doesn’t care” ironically became the clearest sign that he still very much does.


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📣Друзья и коллеги, приглашаем вас на Ogon.AI Hackathon: Early-Stage Product Competition!

🔥 Вы ждали — мы сделали!

Это уже третье событие от Ogon.AI Hackathons, и на этот раз мы готовим конкурс для тех, кто уже запустил свой продукт или собирается запустить его в самое ближайшее время, и готов вывести его на новый уровень!

Что вас ждёт:
🔸 экспертная оценка продукта, UX и технической реализации,
🔸 обратная связь от опытных основателей,
🔸 помощь в масштабировании вашего продукта на глобальный рынок,
🔸 призы и нетворкинг для команд, готовых к росту!

Важно:
Продукты должны быть живыми или готовыми к запуску очень скоро. Мы оцениваем качество, ранние показатели и потенциал роста.

🎁 Призы и возможности:
✔️ 1 место — $1,500 USD
✔️ 2 место — $1,000 USD
✔️ 3 место — $500 USD

Победители также получат индивидуальные консультации с экспертами Ogon.AI по масштабированию и выходу на новый рынок!

Таймлайн (Dubai time):
🔸 Регистрация — уже открыта!
🔸 1–5 декабря — отправка аналитики и ссылок на продукт
🔸 5 декабря, 23:59 — дедлайн подачи заявок
🔸 6–16 декабря — тестирование и оценка жюри
🔸 17 декабря — финальная церемония и объявление победителей

📍Формат: Онлайн
Участвуйте командой (до 10 человек) или индивидуально!

Друзья, в Ogon.AI Hackathon мы создаём будущее продуктов вместе. Это будет масштабно, полезно и по-настоящему круто! 🫂


До встречи в декабре 🫶

Делитесь этим постом в чатах и приглашайте команды, готовые к росту! 🚀
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🔔 A full NanoBanana cheat sheet: prompting tricks, hidden rules, and a look inside the system prompt

Many people already use NanoBanana confidently, but collecting all the quirks, techniques, and edge-case behaviors in one place is still a challenge. A new deep-dive article finally puts everything together.

🔸 Prompting as engineering: Treating the model like a system with levers, constraints, and failure modes rather than a magic box.
🔸 Visual prompts stress-tested: Kittens with heterochromia, precise hex-color control, rigid composition constraints and how NanoBanana handles them.
🔸 Pure HTML/CSS/JS rendering: Using the model to generate a fully functional webpage layout from scratch.
🔸 Hybrid JSON characters: ultra-detailed spec sheets like “Paladin + Pirate + Starbucks Barista,” and the wonderfully weird results when everything is fused together.
🔸 Mini reverse-engineering of the system prompt: Using the “fridge magnets” trick, the author reconstructs NanoBanana’s internal rules: Markdown structure, uppercase MUST directives, penalties for SD-style prompting and how these constraints steer the model away from classic 2022 AI-art errors.

The author also bundled clean testing code and handy utilities into one repo.

If you’re building products on top of NanoBanana/Gemini or doing serious prompt design, this breakdown is gold.


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🤖 OpenAI publishes its official guide to perfect prompting for ChatGPT 5.1

OpenAI has released a comprehensive manual on how to interact with the new ChatGPT 5.1, a collection of best practices for getting clearer, faster, and more precise results from the model.

🔸 Inside: detailed prompting tips, practical techniques, and ready-made request templates for dozens of everyday and professional tasks.

🔸 The guide helps users unlock the full efficiency of 5.1, reducing the need for rewrites, clarifications, and constant corrections.

For anyone using ChatGPT daily, from coding to research to creative work, this is the fastest way to level up your prompting game.


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⚠️ Chinese open-source models quietly become Silicon Valley’s hidden AI backbone

A new Bloomberg analysis highlights how much of the U.S. AI boom is now running on top of Chinese open-weight models, a shift driven by cost, licensing freedom, and sheer model quality.

🔸 Alibaba’s Qwen family has taken over Hugging Face: more than 40% of newly uploaded LLMs in 2024–25 are Qwen-based derivatives, dwarfing Meta’s LLaMA line.

🔸 Multiple U.S. startups are suspected of using Chinese base models under the hood: Cursor is linked to DeepSeek, while Cognition’s Devin is rumored to lean on Zhipu AI’s Z-series.

🔸 Developers cite price and permissive licensing, Qwen models are cheap to run, fully open-weight, and allow commercial fine-tuning without legal friction.

🔸 The trend is big enough that Nvidia’s Jensen Huang has warned China may “win the AI race” through developer scale even if the U.S. leads in advanced chips.

As Chinese models quietly become the substrate for U.S. AI products, the question isn’t just technical, it’s geopolitical: who truly owns the future stack that Silicon Valley is building on?


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