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- Apple wants AI-built chips
Apple wants AI-built chips
PLUS: Huawei’s exporting intelligence. What’s next?

Hello AI Innovators.
Ever feel like you’re watching the future load in real-time?
This week felt exactly like that — a little surreal, a little cinematic.
Google gave its AI a voice. Midjourney gave images motion. Apple wants chips that design themselves.
It’s weird. It’s wild. And it’s all happening at once.
Let’s dive in! 🚀
In today’s newsletter ⬇️
🚀 4 AI tools that actually save you hours
🗞️ The real headlines, no fluff
🤖 Deepseek vs Manus: The Showdown You Didn’t Know You Needed
📚 Resources you’ll actually want to click
💡 Prompt of the Day — built for builders, not lurkers

🚀 Top Tools To Try This Week!
Wordtune – Rephrasing genius for your drafts
Flux – German-engineered pro-grade image AI
ClickUp Brain – AI PM + meeting summaries in one
Cohere – Enterprise-grade LLMs for search & chat

The News: East Meets West
News from The WEST 👈:
🧠 Apple Plans to Use AI to Design Chips
Apple execs confirm they’re building AI systems to automate chip design, using reinforcement learning and neural architecture search.
Why it matters:
If Apple cracks this, it could radically shorten chip design timelines — and reduce dependency on third-party foundries.🎥 Midjourney Just Launched V1: The AI Video Wars Begin
Midjourney just launched V1, its first AI video generation model — and it’s gorgeous. It blends still-image diffusion with motion, offering surreal, cinematic visuals.
Why it matters: Runway, Sora, Veo… and now Midjourney. The AI video space is heating up fast — and Midjourney’s visual edge might give it a cult creator following.
🗣️ Google’s AI Mode Now Talks Like a Human
Pixel phones running Gemini now support back-and-forth voice convos — no need to say “Hey Google” each time. Think Alexa meets ChatGPT with memory.
Why it matters: This is Google’s clearest shot yet at building a consumer-grade AI agent. Real-time, persistent conversation is the next battleground.
News from The EAST 👉:
🤝 OpenAI Cuts Ties with Scale After Meta Deal
After Meta acquired a 49% stake in Scale AI, OpenAI quietly dropped Scale as a data vendor. This marks a major shift in AI infrastructure alliances.
Why it matters:The AI cold war is getting hotter. Expect more ecosystem splits, tool lock-ins, and competitive data walls in the months ahead.
🏭 Intel Lays Off Up to 20% of Foundry Staff
Intel is cutting as much as 20% of its foundry division workforce. This follows delays in its custom chip strategy and poor Foundry growth numbers.
Why it matters: Foundry services were Intel’s big bet against TSMC and Samsung. These cuts suggest it’s not working — and AI chip dominance may slip further away.
🌏 Huawei & ZTE Bring AI to Belt and Road Nations
Despite US sanctions, Huawei and ZTE are pushing AI infrastructure across Belt and Road countries, including AI servers and LLM stacks.
Why it matters: China is exporting AI — not just products, but frameworks. This move could reshape AI adoption in emerging markets and challenge Western tech dominance globally.

🤖 Deepseek vs Manus: The Showdown You Didn’t Know You Needed

Two Chinese LLMs walk into 2025 — one breaks the stock market, the other starts building websites for you.
In this no-fluff breakdown, we pit Deepseek (the GPT-4 killer built in 2 months) against Manus (your chaotic genius intern who might ghost you mid-task).
💸 One is cheaper than OpenAI.
🛠️ One runs workflows like a human.
But which one should you actually use?
We tested both — and crowned a winner.
Which AI would you hire? |


📚 Prompt: “Create a Full GTM Strategy for My AI Product”
“You are a senior product marketing strategist at a fast-scaling AI startup. Your job is to craft a high-impact Go-To-Market (GTM) strategy that is realistic, data-informed, and tailored to the given product and audience.
Based on the input below, generate a complete GTM plan that includes:
1. Product Positioning
Clear one-liner (like a startup pitch or landing page hero line)
Key value propositions in plain English
Core problem it solves (explain in emotional + rational terms)
Competitive edge or moat
2. Ideal Customer Profile (ICP)
Detailed persona breakdown (industry, role, pain points, goals, tech maturity)
Top 3 objections they might have
Channels/platforms they spend time on
3. Channel Strategy
Primary acquisition channel (and why it fits)
Secondary and experimental channels (SEO, PLG, community, etc.)
Paid vs organic strategy — with budget ranges if possible
4. Content & Hook Strategy
5 top-of-funnel hook ideas (for ads, landing pages, or cold outreach)
3 mid-funnel lead magnet ideas (e.g. templates, toolkits, checklists)
Newsletter or blog themes that could position the brand
5. Activation & Onboarding
How to structure the first user experience (especially for freemium or trials)
Common drop-off points and how to reduce churn early
Suggested onboarding flows or nudges (email, in-app, demo)
6. Pricing & Packaging
Recommend a pricing model (freemium, usage-based, tiered, etc.)
Ideal pricing ranges based on ICP budget and value perceived
Suggestions for landing first 10–50 customers
7. KPIs to Track in the First 90 Days
Metrics for acquisition, activation, and retention
Recommended benchmarks (if available)
Qualitative signals of PMF
8. Risks & What Could Break
Top 3 potential GTM risks (messaging mismatch, channel fatigue, etc.)
Pre-mortem: “What could cause this launch to fail?”

📩 What type of content do you want more of? |
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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