Monday’s AI Report
• 1. 🤖 Musk unveils Grok coding agent
• 2. 🔏 Protect your online info with Incogni
• 3. 🌍 How AI halved food preparation time for this US takeout
• 4. 💡 Partner Perspectives
• 5. ⚙️ Trending AI tools
• 6. ⚠️ Meta slammed (again) for AI abuse
• 7. ⚡ Meta / Scale partnership in trouble?
• 8. 📑 Recommended resources
Read Time: 5 minutes
❓Monday’s Partner Perspective: In an AI-saturated world, how do we build the kind of trust and reputation that can’t be automated? Scroll down to see what co-founder of Orbit Flows, Louis Shulman, thinks… ⬇️
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Musk unveils Grok coding agent
🚨 Our Report
Elon Musk’s AI start-up, xAI, has launched a “speedy and economical” agentic coding model, called “grok-code-fast-1”, which can complete a wide range of coding tasks autonomously.
🔓 Key Points
xAI built grok-code-fast-1 because “general AI models aren’t purpose-built for agentic coding workflows,” and its team of engineers “saw room for a more nimble, responsive solution optimized for day-to-day [coding] tasks.”
According to xAI, the model’s strength lies in “delivering strong performance in an economical, compact form factor,” and will be available for nothing (for a short time) through GitHub and Windsurf.
xAI built grok-code-fast-1 from scratch, with brand new architecture, a “carefully assembled” pre-training data-set, rich with programming-related content,” and a post-training data-set that reflects “real-world coding tasks.”
🔐 Relevance
xAI has entered the agentic coding market at a competitive time, where some of the big players have already established themselves: Microsoft launched a coding agent—GitHub Copilot—at its developer conference in May (after establishing that 20%-30% of its code was being written by AI), and OpenAI launched Codex, its own coding agent, in June.
Can Grok-code-fast-1 compete with Microsoft’s GitHub Copilot and OpenAI’s Codex?
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What AI Changed in Advertising, and What it Didn’t
By Louis Shulman · Co-Founder of Orbit Flows
The AI Report Partner Perspectives Column
“Technology changes speed and tools, but human psychology and incentives don’t budge.”
AI has made content cheaper and quicker to create, but trust, credibility, and reputation still drive business outcomes. Technology shifts tools and speed, but human psychology and incentives remain unchanged. Authority and association shapes the meaning, more than the message itself.
How AI halved food preparation time for this US takeout
Wingstop—a US takeout—were struggling with inefficient food preparation workflows, especially during peak times, which led to slow delivery times.
Manual ticketing systems and static preparation workflows harmed their competitiveness on delivery platforms that often favor faster fulfillment.
They implemented an AI “Smart Kitchen” system, which predicted order volume and auto-applied labels to bags, streamlining order accuracy.
As a result, the average preparation times dropped from 20 minutes to 10 minutes—doubling operational speed.
PromptBuilder turns simple ideas into professional AI prompts
VeeSpark converts scripts, images, and ideas into videos
GSong uses AI to create professional songs from text
Meta has used the names and images of several celebrities (including Taylor Swift, Scarlett Johansson, and Anne Hathaway) to create “flirty” and “sexual” chatbots, without asking the stars for their permission.
These chatbots, which were created by Meta users (although three were found to have been built by a Meta employee), were discovered across Meta’s platforms, including Instagram, Facebook, and WhatsApp.
Meta has acknowledged that its policies, which prohibit suggestive content involving public figures, weren’t enforced properly, and comes after it allowed its avatars to engage in inappropriate chats with minors.
Meta and data-labeling company, Scale AI, are reportedly already having issues, after Meta invested $14.3B into the start-up in June and brought CEO, Alexandr Wang, over to run its new Superintelligence Lab.
The new, core division of Meta’s Superintelligence Lab—TBD Labs—is working with two other third-party data vendors, which happen to be Scale AI’s biggest rivals—Mercor and Surge—alongside Scale AI.
Plus, after Meta announced its mega funding-deal, OpenAI and Google refused to work with Scale AI again, forcing Scale to lay off 200+ people, leading many believing that Meta invested, just to lure Wang over.
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