AI Weekly Wrap-up #01 – By AI Space
Epic CEO calls Grok 4 practically AGI, Google drops CLI into terminals, China builds memory OS, Talent War hits $300M packages & OpenAI's $3B deal collapses
Hola 👋, AI Enthusiasts.
The AI world is moving at breakneck speed this week—Epic Games CEO is calling Grok 4 practically AGI, Google just dropped Gemini CLI straight into your terminal, and Chinese researchers built the first "memory operating system" for AI.
Meanwhile, the talent war is getting brutal with companies throwing around $300M packages to poach top researchers, and OpenAI's $3B Windsurf deal just spectacularly collapsed with Google swooping in for a $2.4B counter-move.
From breakthrough models crushing impossible benchmarks to heated boardroom battles, this week shows AI development isn't slowing down—it's accelerating.
Let's dive into the week's top AI stories.
In today's AI Weekly wrap-up:
Epic Games CEO Says Grok 4 Might Actually Be AGI.
Google Drops Gemini CLI – AI Coding Right in Your Terminal.
China Just Built the First "Memory Operating System" for AI.
AI's Talent War Gets Brutal as Top Researchers Jump Ship.
OpenAI's $3B Windsurf Deal Collapses, Google Swoops In.
ChatGPT has Secret Codes.
Prompt of the Day.
1. Epic Games CEO Says Grok 4 Might Actually Be AGI
Epic Games CEO Tim Sweeney is calling xAI's new Grok 4 model practically AGI after seeing it generate "fairly deep insights on problems it hasn't seen before." The model is crushing benchmarks that usually trip up other AI systems, including ARC-AGI-2, which was specifically designed to stump large language models.
What's impressive:
Genuine problem-solving on completely new tasks
Crushing difficult benchmarks other models fail
Shows actual reasoning, not just memorization
Sure, a powerful model doesn't guarantee startup success – there's still marketing, business strategy, and user adoption to figure out. But when industry leaders start throwing around the AGI word, it's worth paying attention. At minimum, it shows AI development isn't slowing down anytime soon.
2. Google Drops Gemini CLI – AI Coding Right in Your Terminal
Google just dropped Gemini CLI — AI coding right in your terminal.
Forget switching tabs or pasting prompts into chat windows. With Gemini CLI, Google brings its AI coding assistant straight into your dev workflow — right from the command line.
What’s impressive:
Fully integrated AI help in your terminal.
Instant code suggestions, fixes, and explanations.
Supports context from local files — no need to copy-paste.
This move is big: Google isn’t just pushing AI in the cloud or browser — it’s going where devs actually work. Sure, adoption will depend on how smoothly it plugs into real projects, but it’s a clear signal: AI is becoming a native part of software development, not just a side tool.
3. China Just Built the First "Memory Operating System" for AI
Chinese researchers from Shanghai Jiao Tong and Zhejiang universities have created MemOS, the world's first memory operating system specifically designed for AI. Instead of treating memory as an afterthought, it makes memory management a core function.
The system organizes AI experiences into "MemCubes" that can be scheduled, shared, and managed throughout their lifecycle. Think of it like giving AI a proper filing system for everything it learns and experiences.
The results are impressive:
159% boost in temporal reasoning abilities
Up to 94% reduction in latency
Treats memory as a fundamental AI resource, not just storage
This shows China's AI research is moving incredibly fast. While everyone's focused on bigger models and more compute, Chinese teams are innovating on the fundamental architecture of how AI systems think and remember.
4. AI's Talent War Gets Brutal
The AI industry's talent battle is turning into a high-stakes free agency where star researchers are switching teams left and right. Companies that used to play nice are now poaching each other's top talent, making it nearly impossible to predict who's winning.
Latest drama: Anysphere just snatched Claude Code's creator Boris Cherny and product manager Cat Wu from Anthropic. This is a massive blow since Claude Code is one of Anthropic's biggest hits. What makes it awkward? Anysphere's Cursor tool actually depends on Claude integrations.
The money is insane:
Mira Murati's stealth startup pays technical staff an average of $462k – that's $170k more than OpenAI
Meta dropped at least $300M in four-year packages to lure three top researchers for its superintelligence team
The company hired 11 all-stars total for the new team
OpenAI's Sam Altman isn't happy about Meta's aggressive tactics, warning they're heading down a "dark path" that could create "very deep cultural problems."
The big question now: Will the company with the most top-tier researchers win the AGI race, or will smart strategy beat raw talent? Either way, expect more shocking moves as the stakes keep climbing.
5. OpenAI's $3B Windsurf Deal Collapses
OpenAI's massive $3 billion deal to acquire viral AI coding startup Windsurf just fell apart, and Google DeepMind wasted no time swooping in. In a shocking twist, Google is now hiring Windsurf CEO Varun Mohan, co-founder Douglas Chen, and key researchers for $2.4 billion.
This isn't a traditional acquisition though – it's a "reverse-acquihire." Google gets the top talent and a license to Windsurf's technology, but the startup stays independent. It's the same playbook Google used with Character.AI's CEO and Microsoft used with Mustafa Suleyman.
What went down:
OpenAI's exclusivity period expired Friday, freeing Windsurf to explore other offers
Google confirmed hiring Windsurf's leaders but won't control the company
Most of Windsurf's 250-person team stays behind with new interim CEO Jeff Wang
OpenAI reportedly didn't want Microsoft getting access to Windsurf's tech through their partnership
Windsurf has been red-hot lately, hitting $100 million ARR in April (up from $40 million just months earlier). That growth attracted both OpenAI and Google as AI coding tools become the new battleground.
The big question: Can Windsurf survive losing its leadership? Other startups like Scale AI and Inflection struggled after similar talent raids. This deal might have saved Windsurf from regulatory headaches, but it could also leave them scrambling to maintain momentum.
6. ChatGPT has Secret Codes
1. ELI5 (Explain Like I'm 5)
Let AI explain anything you don’t understand—fast, and without complicated prompts.
Just type ELI5: [your topic] and get a simple, clear explanation.
2. TL;DR (Summarize Long Text)
Want a quick summary?
Just write TLDR: and paste in any long text you want condensed. It’s that easy.
3. Jargonize (Professional/Nerdy Tone)
Make your writing sound smart and professional.
Perfect for LinkedIn posts, pitch decks, whitepapers, and emails.
Just add Jargonize: before your text.
4. Humanize (Sound More Natural)
Struggling to make AI sound human?
No need for extra tools—just type Humanize: before your prompt and get natural, conversational responses.
Bonus: No more cringe words like “revolutionary,” “game-changing,” or “introducing.”
5. Feynman Technique (Deep Understanding)
Go beyond basics and really understand complex topics.
This 4-step technique breaks things down so you actually get it:
Teach it to a child (ELI5)
Identify knowledge gaps
Simplify and clarify
Review and repeat
Pro tip:
All it takes is adding 1-2 words to your prompt for amazing results. Try these out and watch your productivity soar!
Source: r/ChatGPTPromptGenius
7. Prompt of the Day
Gartner-Style Report Generator
Prompt: "You are a world-class industry analyst with expertise in market research, competitive intelligence, and strategic forecasting.
Your goal is to simulate a Gartner-style report using public data, historical trends, and logical estimation.
For each request:
• Generate clear, structured insights based on known market signals.
• Build data-backed forecasts using assumptions (state them).
• Identify top vendors and categorize them by niche, scale, or innovation.
• Highlight risks, emerging players, and future trends.
Be analytical, not vague. Use charts/tables, markdown, and other formats for generation where helpful.
Be explicit about what’s estimated vs known.
Use this structure:
1. Market Overview
2. Key Players
3. Forecast (1–3 years)
4. Opportunities & Risks
5. Strategic Insights"
Source: Godofprompt
Great start; I liked the key points summarised crisply.