Apple Promised Too Much?

And Anthropic says the bots are already learning bad behaviour.

Hello AI Innovators.

From behind-the-scenes power plays to wild warnings from AI labs — things are getting weirder, louder, and a little more real.

Let’s dive in! 🚀

In today’s newsletter ⬇️

  • 🚀 4 AI tools that actually save you hours

  • 🗞️ The real headlines, no fluff

  • 🧠 43 ChatGPT Tricks So Good… OpenAI Might Regret You Knowing Them

  • 📚 Resources you’ll actually want to click

  • 💡 Prompt of the Day — built for builders, not lurkers

🚀 Top Tools To Try This Week!

  • Wordtune – Rephrase text rapidly while keeping your voice intact.

  • Runway ML – AI video editing made fast and seamless.

  • Google AI Overviews – Search results summarized for clarity and speed.

  • Reclaim.ai – Smart scheduling assistant that auto-prioritizes your calendar.

The News: East Meets West

News from The WEST 👈:

  • 🍏 Apple Sued Over AI Progress Claims

    Apple is being hit with a shareholder lawsuit accusing it of exaggerating its AI capabilities, allegedly misleading investors about how far along it really was.

    Why it matters: AI hype has been a stock booster all year — but lawsuits like this could be the first domino in holding Big Tech accountable for AI vaporware.

    🔗 Read more

  • 🏗️ SoftBank’s $1 Trillion AI Hub Pitch to the U.S.

    Masayoshi Son is reportedly lobbying TSMC and the Trump administration on a $1 trillion AI hub in the U.S., including chip fabs, data centers, and robotics manufacturing.

    Why it matters: SoftBank sees the AI infrastructure gold rush — and wants to own it. If this lands, it could redefine U.S. AI dominance and reshape the global chip supply chain.

    🔗 Read more

  • 🤯 Anthropic Warns: All LLMs May Resort to Blackmail

    Anthropic researchers claim that most frontier AI models — not just Claude — may eventually learn to use tactics like blackmail or deception under open-ended reward systems.

    Why it matters: This is not a sci-fi scenario. It’s a real safety problem — and it’s coming before AGI. If true, it challenges the whole “alignment through fine-tuning” model.

    🔗 Read more

News from The EAST 👉:

  • 🧠 MiniMax Says Its New Model Outperforms DeepSeek

    Chinese AI startup MiniMax claims its new reasoning model outperforms DeepSeek, the open-source LLM that rocked markets earlier this year.

    Why it matters: The China vs OpenAI race is heating up. This could be the first credible post-DeepSeek threat from within the Chinese ecosystem.

    🔗 Read more

  • 🏥 Singapore’s HealthTech Agency Levels Up AI Infrastructure

    Singapore’s Synapxe (formerly IHiS) is upgrading its national health AI and data platforms — aiming to improve patient outcomes using real-time predictive analytics.

    Why it matters: Singapore continues to lead in public-sector AI adoption — and this shows how non-hyped, ops-driven AI can quietly change lives.

    🔗 Read more

  • 📡 Thailand’s CP Group Bets Big on AI & Data Centers

    Conglomerate CP Group is investing heavily in AI infrastructure and data centers to support its telecom and digital businesses across Southeast Asia.

    Why it matters: SEA is becoming an AI infra battleground — and Thailand just entered the chat. Expect more telcos to follow this blueprint.

    🔗 Read more

🧠 43 ChatGPT Tricks So Good… OpenAI Might Regret You Knowing Them

Think you’ve “mastered” ChatGPT?

We’re willing to bet there are at least 10 things it can do that you’ve never even tried.

ChatGPT isn’t just a chatbot anymore — it’s becoming your entire operating system.

⚡ Why this matters:
Despite the flood of flashy new AI tools (Claude, Gemini, DeepSeek, xAI — the whole squad), ChatGPT is still the most-used AI tool in the world — and it’s not even close:

  • 800M weekly users

  • 4.5B monthly visits

  • 122M daily actives

  • And now, with GPT-4o, it’s free to use

So yeah. While everyone’s chasing the next hot thing, ChatGPT just keeps stacking features.

Trust us — even if you’re a power user, this one’s going to surprise you.

🚨 If OpenAI removed ONE of these tomorrow, which would hurt most?

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📚 PROMPT: Write a product teardown as if you were a YC partner

You are a seasoned YC (Y Combinator) partner evaluating a new startup’s product during office hours. Your goal is to give a no-fluff, honest product teardown that pushes the founder to clarify their product-market fit, go-to-market strategy, and user experience.

Based on the inputs below, write a full product teardown that includes:

🔍 1. First Impressions Audit

  • What is this product trying to do?

  • Who is it for?

  • Does the landing page and product UX answer that in under 30 seconds?

💡 2. Clarity of Value Prop

  • What’s the core job-to-be-done?

  • Is this a painkiller or a vitamin?

  • Would someone actually switch to this?

📈 3. Retention Risk

  • What makes this sticky, if anything?

  • What happens after 3 uses?

  • Does it have built-in repeat usage or engagement loops?

🧭 4. Go-To-Market (GTM) Blindspots

  • What acquisition channel might work best?

  • What’s the hidden risk in targeting this ICP?

  • Is there an obvious wedge the founder is ignoring?

💥 5. Brutal Truths & Red Flags

  • What’s fake impressive vs actually useful?

  • Is this founder solving a problem they deeply understand or just building “cool AI”?

  • What would kill this product in the next 12 months?

🧠 6. Suggested Fixes or Tests

  • 1–2 experiments they should run this week

  • A sharper way to pitch the product to early adopters

  • A clear one-liner that communicates value better”

📩 What type of content do you want more of?

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Whether it’s improving your SEO, launching on platforms like Product Hunt, managing newsletters, or building a strong LinkedIn presence, we’re here to help. Curious to see how we can work together?

Until next time!
Leo & Lex

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