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Today:

• AI Agents That Build a $10,000-a-Month Business from Scratch

• Anthropic Commits to an Ad-Free Future for Claude

• Mistral Unveils "Realtime" Audio Transcription Model

• Kling 3.0 Enhances AI Video with Longer Clips and 4K Support

• ElevenLabs Hits $11 Billion Valuation After $500M Funding Round

• OpenAI Accuses Musk's xAI of Deleting Evidence in Legal Battle

ClawdBot makes money

An AI agent experiment is underway to test whether autonomous systems can build and operate profitable online businesses with minimal human input. The setup involves multiple agents collaborating to research, plan, build, and run the business, aiming for $10,000 monthly revenue. Past examples show agents already running simple e-commerce stores. The broader idea is that solo founders can use AI tools to replicate high-earning digital businesses by combining research, automation, and rapid development. 

These agents can code, deploy websites, manage operations, and even fix themselves. While early and unpolished, this approach may mark a shift in how future businesses are created and run.

WATCH THE VIDEO ON YOUTUBE

Kling 3.0 inches closer to “I can actually use this”

If you’ve ever tried AI video and thought “cool… but why does my character’s face melt in shot two,” this update is aimed directly at that pain.

What’s new: better consistency for characters/elements, 15-second clips with improved control, and customizable multi-shot workflows (so it’s not just one shaky clip). There are also audio upgrades (multi-character references + more languages/accents), and on the image side: 4K output and a “continuous shooting” mode for more cinematic-looking sequences.

The catch: early access is tied to higher-tier subscribers, and there aren’t official details yet on a broad rollout, API, or full technical docs.

Why I care: this is exactly the direction we need for creators — not “one impressive shot,” but repeatable assets you can cut into a real edit.

Mistral AI drops Voxtral Transcribe 2: faster, cheaper, and more production-friendly

This one is pure practical power: two new speech-to-text models — one for batch transcription and one for live streaming.

The headline features:

• Speaker diarization (that’s “who said what,” labeled by speaker)

• Word-level timestamps (so you can jump to exact moments)

• Context biasing (you can feed it names/terms so it stops butchering them)

• Realtime mode with latency configurable down to sub-200ms for live voice apps

• Pricing called out: $0.003/min (batch) and $0.006/min (realtime)

• Realtime weights are released as open weights under Apache 2.0, with a release on Hugging Face mentioned.

Why I care: “good transcription” used to mean slow, pricey, or messy. This is trying to make it cheap enough and fast enough that you stop hesitating and just transcribe everything (meetings, interviews, voice notes, brainstorming rambles).

Anthropic: Claude is staying ad-free — on purpose

Anthropic basically says: ads don’t belong inside an AI chat, because these conversations are more personal, more open-ended, and easier to influence than search or social feeds. So, no sponsored links beside chats, no advertiser-driven steering, no surprise product placements.

Their core argument is incentive-shaped: if the business model depends on ads, you eventually optimize for engagement and transactions — not for helping you think clearly (or finish faster). They position their approach as paid subscriptions + enterprise contracts, plus user-initiated integrations with third-party tools (not advertiser-initiated).

Why I care: if an AI is going to feel like a notebook, a coach, or a quiet planning room — it can’t also feel like a mall.

🧠RESEARCH

CodeOCR: On the Effectiveness of Vision Language Models in Code Understanding

Researchers discovered that AI models can process computer code more efficiently by treating it as an image rather than text. This visual approach compresses data significantly while still allowing the AI to understand the software. By using visual cues like color-coded syntax, the models save computing power without losing accuracy.

No Global Plan in Chain-of-Thought: Uncover the Latent Planning Horizon of LLMs

This study reveals that AI models do not map out a complete solution before they start reasoning. Instead, they figure things out one step at a time, similar to walking in a fog. The authors developed a new method to detect when an AI is uncertain about its path without checking every single step.

MARS: Modular Agent with Reflective Search for Automated AI Research

MARS is a new AI system designed to conduct its own research experiments automatically. It breaks complex projects into smaller tasks and carefully balances the cost of running tests against the potential results. This "smart planning" allows it to outperform other automated tools on difficult engineering problems.

🛠️TOP TOOLS

Each listing includes a hands-on tutorial so you can get started right away, whether you’re a beginner or a pro.

Choppity: AI-Powered Video Editing for Social Media - AI‑powered, browser‑based video editor that turns long videos or podcasts into multiple short, social‑ready clips.

Chord AI – AI Music Transcription & Practice - iOS/Android app that uses on‑device AI to identify a song’s chords, voicings, beats/tempo, key, and even lyrics.

Circleback AI – AI-Powered Notes, Action Items, and Automations - AI meeting assistant that records in-person and online meetings, transcribes in 100+ languages, writes meticulous notes, assigns action items, and lets you search or ask questions across your meeting history.

📲SOCIAL MEDIA

🗞️MORE NEWS

Voice AI Startup ElevenLabs Raises $500 Million Voice cloning company ElevenLabs has raised $500 million in fresh funding, pushing its total value to a massive $11 billion. The startup, which now brings in $330 million a year in sales, plans to use the money to build AI agents that can handle complex business tasks. This rapid growth highlights the high demand for technology that can generate realistic human speech.

OpenAI Accuses Musk’s xAI of Destroying Evidence OpenAI claims that Elon Musk’s company, xAI, intentionally deleted text messages that are crucial to their ongoing lawsuit. They allege that xAI employees used messaging apps that automatically erase texts to hide internal conversations about their business plans. OpenAI is asking the judge to stop this practice and hire an outside expert to investigate what data was lost.

Amazon Plans to Use AI to Speed Up TV and Film Production Amazon is testing new AI tools designed to make producing movies and TV shows faster and cheaper. A special team at their studio is building software to help with expensive tasks like planning scenes and editing video. While Amazon says this will streamline the creative process, the move comes as Hollywood workers worry about AI replacing their jobs.

Character.ai Launches "Labs" for Experimental Features Character.ai has introduced a new "Labs" section where users can try out early versions of features before they are fully finished. The initial experiments include tools for creating branching stories and generating videos or images with AI characters. This testing ground allows the company to see what users enjoy most before adding those features to the main app permanently.

Nvidia AI Agents Transform Document Processing Nvidia is showcasing new AI "agents" that can read and understand complicated documents like legal contracts and financial reports. These tools go beyond simple reading by accurately pulling information from messy charts, tables, and PDFs that computers usually struggle with. This technology helps businesses turn piles of hard-to-read paperwork into organized data they can easily use.