🔎 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! 🚀

🤖 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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✨ 7000 ready-made n8n workflows to automate your job with AI

A massive collection of 7,000+ n8n automation templates just dropped, the largest guide so far for applying AI directly to your role, tasks, and daily operations.

🔸 Each workflow comes with step-by-step instructions, so you can implement automations without guessing or engineering everything from scratch.

🔸 Templates cover dozens of professions from marketing and sales to engineering, HR, operations, finance, support, and solo-founder use cases.

🔸 The library includes both AI-powered flows (ChatGPT, Claude, Gemini, local models) and classic n8n automations for email, CRM, analytics, and data pipelines.

🔸 For teams, it serves as a plug-and-play playbook: browse your job area, copy a workflow, adapt it in minutes, and ship automation that normally takes days.

This isn’t just a template pack, it’s a ready-to-deploy automation encyclopedia that can upgrade an entire workflow stack overnight.

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⚠️Cloudflare blames massive internet outage on a “latent bug”

According to TechCrunch, Cloudflare’s network suffered a wide-reaching outage affecting major services like ChatGPT, Claude, Spotify and X, caused by a previously undetected bug in a bot-mitigation service that crashed after a routine configuration change.

🔸 The fault arose when the latent bug triggered cascading failures across Cloudflare’s global network; the company confirmed the event was not an attack, but rather a fault in its internal infrastructure.

🔸 Cloudflare acknowledged that the bug went unnoticed during testing and pledged to publish a detailed breakdown of the incident and its remediation steps.

🔸 The incident underscores how dependent the internet is on a handful of infrastructure providers: Cloudflare serves around 20% of all websites, making even a single error capable of major disruption.

For startups and infrastructure teams, the outage is a stark reminder that resilience isn’t just about external attacks, latent internal bugs in core services can bring down the ecosystem.

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🚲 Citi Bike now charges for pedal assistance, welcome to the new “freemium mobility”

Citi Bike has rolled out a new paid feature: pedal assistance on its e-bikes. A small boost is free for the first 45 minutes, after which it costs $0.25 per minute. Full assistance? That’s $0.25 per minute from the start.

🔸 It’s basically “microtransactions for biking”, a tiny upgrade that suddenly isn’t so tiny when the meter starts running.

🔸 The pricing model mirrors classic app economics: a free taste, then pay-as-you-go for the real power.

🔸 And surprisingly, there’s still no extra subnoscription tier… which probably means they just haven’t gotten around to launching it yet.

Mobility keeps finding new ways to upsell even if the upsell is literally your own legs.

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🧪 Google’s Antigravity IDE: clever features meet rough edges

Google has released Antigravity, a free AI IDE on Mac, Windows, and Linux, giving users 50 requests every 5 hours. Early users are impressed but also frustrated.

🔸 Standard editing, autocomplete, and agent chat work as expected, but the overall experience feels raw, similar to Cursor.
🔸 The standout is Inbox mode, an asynchronous panel where you assign tasks to multiple agents, track progress, and run projects in parallel or queue.
🔸 Chrome integration lets agents launch apps, browse sites, test elements, take screenshots, and more, appearing more capable than Cursor.
🔸 Weak points include GitHub/git support, occasional macOS lag, and VPN logins that can stall indefinitely.

Antigravity is promising, but early adopters will need patience while Google irons out stability and integration issues.

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📊 10 key takeaways on how AI is reshaping development, GitHub Octoverse 2025

🔸 Developer growth is booming: GitHub added 36M new developers in 2025; 80% adopted AI tools immediately.
🔸 TypeScript takes the crown: surpassing Python as the most popular language.
🔸 AI repos explode: over 1M AI-focused repositories now exist.
🔸 India leads: 5M new Indian developers joined GitHub this year.
🔸 Commits hit 1B: a 25% increase over 2024.
🔸 Faster vulnerability fixes: automation cuts fix time from 37 to 26 days.
🔸 Python dominates AI repos: still the go-to language for AI projects.
🔸 Six languages rule new repos: Python, JS, TS, Java, C++, C# cover ~80% of new projects.
🔸 Top coding error: Broken access control, AI often overlooks authentication checks.
🔸 Productivity up: more bugs fixed and pull requests merged thanks to AI-assisted development.

AI isn’t just assisting developers, it’s accelerating growth, speeding fixes, and shifting language popularity across the platform.

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