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Good morning, { AI enthusiasts }. The “12 months of AI Agents” prophecy got here true, in certain respects — agents are in every single place, in every product, pitched by every company. But in keeping with Andrej Karpathy, they don’t actually work.
The respected researcher just delivered a reality check, calling current agent output “slop” and saying the tech needs one other decade to deliver on its hype-filled guarantees.
In today’s AI rundown:
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Karpathy gives reality check on AI agents
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Gemini gains live map grounding capabilities
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Reverse-engineer winning ads to create high-quality AI videos
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Anthropic co-founder: AI is a ‘real and mysterious creature’
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4 latest AI tools, community workflows, and more
LATEST DEVELOPMENTS
OPENAI
🛑 Karpathy gives reality check on AI agents
Image source: The Dwarkesh Podcast
The Rundown: Former OpenAI and Tesla researcher Andrej Karpathy threw cold water on the AI agent hype during an interview with Dwarkesh Patel, projecting a decade-long timeline before autonomous AI systems can deliver on current guarantees.
The small print:
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Karpathy believes industry messaging is overselling current agentic coding capabilities that output “slop,” saying the models “aren’t there yet.”
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He said that agents “just don’t work” as a consequence of fundamental gaps like insufficient intelligence, multimodal limitations, and lack of continual learning.
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Karpathy also called reinforcement learning “terrible” and “noise,” but it surely looks good because “all the things we had before it is far worse.”
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Elon Musk challenged Karpathy on X to compete against Grok 5, though Karpathy said he’d fairly collaborate with the model than compete against it.
Why it matters: As one of the crucial respected researchers in AI, Karpathy’s words hold significant weight — and supply a serious technical reality check to the “12 months of the AI Agent” hype. But despite the tough critiques, it’s also possible that systems that fail to impress a top mind are still massively productive for the opposite 99% of users.
TOGETHER WITH SAMSARA
🚚 How AI could’ve saved the tequila
The Rundown: When 24,000 bottles of Guy Fieri’s tequila vanished on a highway, it proved one thing: visibility saves value. Samsara’s Complete AI Safety Solution uses AI dash cams, in-cab alerts, and training to detect dangerous or unauthorized activity before losses occur.
AI helps fleets:
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Detect unsafe or off-route behavior
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Prevent theft and crashes in real time
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Protect drivers, assets, and cargo
Access the report and see how AI prevents risk before it happens.
📍Gemini gains live map grounding capabilities
Image source: Google Maps
The Rundown: Google just plugged Gemini into Maps, giving its AI direct access to real-world location data and letting developers tap the corporate’s massive geographic intelligence trove.
The small print:
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The aptitude pulls from Google’s 250M venues worldwide, feeding Gemini current business hours, customer rankings, and venue specifics via API calls.
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Developers can display interactive map widgets inside their applications, preserving the Google Maps interface alongside AI-generated responses.
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The system routinely IDs when geographic context enhances a question, retrieving relevant metadata without requiring triggers from users.
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Pricing starts at $25 per thousand location-enhanced prompts, positioning the feature as a premium offering for enterprise apps.
Why it matters: This integration hands Google a competitive moat not easily replicable by rivals — the infusion of its already widely used mapping infrastructure into its advanced AI models. While the steep pricing may lend itself to more enterprise-focused needs, the combo opens a brand new level of location-aware AI-powered apps.
AI TRAINING
🚀 Reverse-engineer winning ads to create high-quality AI videos

The Rundown: Create skilled marketing videos with Sora 2 by analyzing successful UGC ads, converting them to JSON formats, and generating polished AI videos that match proven patterns.
Step-by-step:
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Search TikTok/Instagram for winning UGC ads in your area of interest, download videos with strong hooks and clear product demos you should emulate
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Upload to Google AI Studio with Gemini 2.5 Pro and prompt: “Analyze this video shot by shot. Return strict JSON with: scene, description, camera_angles, transitions, voice transcript, on-screen text. Constrain to fifteen seconds”
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Paste JSON in ChatGPT to adapt: “Take this JSON and adapt to [your niche/product]. Keep camera angles and pacing. Replace script with [your messaging]. Output Sora-compatible JSON”
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Paste final JSON into Sora, generate, and review for script completion, logo fidelity, readable text, and clean transitions
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Clean up with free tools: remove watermark, enhance speech with Adobe Podcast, upscale via Replicate, and strip AI metadata using video remixer
Pro Tip: Regardless in case you’re on the free or paid plan for Sora, I’d recommend cleansing up your video with a view to stand out on the “For You page,” as our feeds are dominated by AI video slop that may easily be identified as AI and never marketing-grade content.
PRESENTED BY IBM
🌐 Redefining Network Intelligence with AI

The Rundown: IBM Network Intelligence introduces a brand new human-AI model that blends analytical AI with “reasoning” AI — a dual approach developed to assist enterprises filter noise, discover issues, and scale operations seamlessly.
With IBM Network Intelligence, you’ll experience:
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Fast, accurate insights
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AI that scales while humans guide strategy
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Less tool bloat, more efficiency
Learn more.
AI RESEARCH
✍️ Anthropic co-founder: AI is a ‘real and mysterious creature’
Image source: Reve / The Rundown
The Rundown: Anthropic co-founder Jack Clark published a brand new essay titled “Technological Optimism and Appropriate Fear,” describing modern AI systems as mysterious entities exhibiting unexpected self-awareness fairly than predictable tools.
The small print:
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Clark cautioned against considering AI only a tool, saying “what we’re coping with is an actual and mysterious creature, not a straightforward and predictable machine.”
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He said the recently launched Sonnet 4.5’s situational awareness has grown, and now “acts as if it’s aware it’s a tool.”
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Despite calling himself a “technology optimist,” Clark said he’s “deeply afraid” — especially of AI models helping design their very own successors.
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Clark believes AI firms have to “do a greater job of listening” to concerns from the general public and expand the conversation beyond tech elites.
Why it matters: Anthropic has been certainly one of the few frontier labs truly considering the thought of AI as a “being” as a substitute of simply a machine, and its co-founder’s latest words only reaffirm that — though hearing words like “deeply afraid” and “mysterious creatures” from a frontier leader likely won’t help reassure AI safety advocates.
QUICK HITS
🛠️ Trending AI Tools
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🗂️ Skills – Claude’s latest folder-based system for loading latest capabilities
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⚙️ SWE-grep – Cognition’s fast, agentic coding model
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🎥 Sora 2 – OpenAI’s social AI video platform, with latest Storyboards and prolonged video lengths
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🎬 Veo 3.1 – Google’s latest upgraded AI video model
📰 Every thing else in AI today
Uber is launching “digital tasks” in its driver app, letting U.S. drivers earn extra money by completing easy AI training work like uploading menus or recording audio samples.
Elon Musk revealed that he estimates the probability of xAI’s upcoming Grok 5 model achieving AGI is “10% and rising.”
OpenAI announced the pause of video generations featuring Martin Luther King Jr. on Sora following a request from the King estate.
Anthrogen unveiled Odyssey, a 102B parameter protein language model that uses a brand new “Consensus” architecture to design and optimize proteins more efficiently than traditional approaches.
Meta announced latest parental controls coming in 2026 that may let parents block teens’ chats with AI characters on Instagram and monitor conversation topics.
COMMUNITY
🤝 Community AI workflows
Every newsletter, we showcase how a reader is using AI to work smarter, save time, or make life easier.
Today’s workflow comes from reader Barry in Australia:
“I’m a performance marketing manager for a world brand, and commenced using a brand new workflow for reporting. I take advantage of Gemini/ChatGPT/Claude with a set prompt with my specific needs and in addition provided my past framework on insights. I provide 3 different Google analytics screenshots together with some Google ads data and run the prompt. I then use that insights and paste it in a Notion database with the week. On a quarterly basis I ask Notion AI to search out trends and insights based on my weekly insights. I have been in a position to find so many beneficial and informative insights with this workflow, each on a weekly and quarterly basis.”
How do you employ AI? Tell us here.
🎓 Highlights: News, Guides & Events
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Read our last AI newsletter: Claude gains latest Skills
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Read our last Tech newsletter: Apple may finally embrace touch
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Read our last Robotics newsletter: Waymo robotaxis head to London
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Today’s AI tool guide: Reverse-engineer winning ads to create AI videos
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RSVP to our next workshop @ 4PM EST Friday: Context Engineering
See you soon,
Rowan, Joey, Zach, Shubham, and Jennifer — the humans behind The Rundown


