🐬Google’s New AI Can Talk To Dolphins

+ Kling’s cinematic control, Nvidia goes all-in on U.S. chips, and a fintech founder’s fake-AI fallout

We’re not making this up.

Google wants to talk to dolphins with its new audio-based AI model. Kling 2.0 is pushing AI video to new heights, delivering unmatched prompt accuracy and the most fluid motion creators have seen yet.

Meanwhile, Nvidia kicked off a $500B play to bring AI supercomputing back to U.S. soil, and a fintech founder got slapped with fraud charges after raising millions for a fake AI app powered by...outsourced workers.

Let’s dive in.

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Google

Google’s New AI Might Let Us Talk to Dolphins

Announced on National Dolphin Day, Google’s DolphinGemma is a first-of-its-kind AI model trained to understand dolphin vocalizations — and maybe even talk back. Built on Google’s Gemma model, it processes dolphin clicks, whistles, and pulses using SoundStream tokenization, just like language models handle words.

Key Highlights:

  • Trained on wild dolphin data: Built on 10+ years of labeled audio from Atlantic spotted dolphins, collected by the Wild Dolphin Project.

  • Runs directly on Pixel phones: No cloud needed. Researchers can record, process, and analyze dolphin sounds in real time using just a smartphone.

  • Enables two-way interaction: Integrates with Google’s CHAT system, which pairs synthetic whistles with physical objects—training dolphins to mimic sounds and refer to items, forming a shared vocabulary.

  • Instant feedback loop: Alerts researchers the moment a dolphin mimics a trained sound, enabling real-time response during live encounters.

  • Open-source this summer: Google will release DolphinGemma publicly, allowing researchers to adapt it for other dolphin species—or apply it to other animals entirely.

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AI Video Quality Just 10x’d — You Need to See Kling 2.0

Built by Kuaishou, one of China’s biggest tech players, Kling was already a powerful text-to-video engine. Now with its Kling 2.0 update, it's stepping into production-grade territory—giving creators real tools to design, refine, and control video scenes without opening a single editing app.

⚔ What’s New:

Multi-Element Frame Editor – Forget one-shot generations. Kling 2.0 lets you edit objects inside a scene. Add a car, move a tree, remove a person—all within the AI flow. Think Photoshop meets Final Cut, but baked into generation.

Better Motion, Better Semantics – This version understands mood, pacing, and storytelling. Prompts like ā€œnostalgic sunset, handheld cam feelā€ actually translate into results. Motion is smoother. Lighting is smarter. It gets it.

Kolors 2.0 – Kling’s upgraded image engine now locks onto your prompts without veering off. If you’ve been burned by AI tools ignoring your style, this is a noticeable upgrade in consistency and clarity.

Multimodal Visual Language (MVL) – Don’t want to describe everything? Now you can mix text, images, and video clips to guide the generation. Need a rainy street scene with a specific camera angle? Just feed it all at once—Kling adapts.

šŸ“˜ Pro Tip: Want better results with Kling? Check out the official Best Practices Guide for tips on prompting, scene design, and camera movement.

Nvidia

​Nvidia’s $500B Play to Make America the AI Capital

Source: Nvidia

Nvidia just announced it’s bringing AI supercomputer production to the U.S.—and the ripple effect could touch everything from your job to your Netflix algorithm. This isn’t a plan. It’s already happening.

🚨 What’s Going Down:

  • Made in America: Nvidia’s new Blackwell chips are already being produced at TSMC’s Arizona facility.

  • Texas is next: Foxconn and Wistron are building AI server plants set to launch in 12–15 months.

  • $500B+ impact: That figure includes chipmaking, infrastructure, supply chain, and job creation—not just Nvidia’s spend.

  • Tariff-driven: U.S. import taxes are pushing companies to localize AI hardware fast.

🧠 Why It Matters

This move speeds up the entire AI pipeline—making tools like ChatGPT faster, cheaper, and more reliable. It creates thousands of jobs across engineering, logistics, and manufacturing. More importantly, it marks a strategic shift: the U.S. is taking control of the AI infrastructure driving the global economy. Nvidia’s hardware powers the world’s leading AI models—and now, much of that power will be built on U.S. soil.

Pseudo AI

Fake AI Scandal: Fintech CEO Charged with Fraud

Source: Fortune

The founder of fintech startup Nate has been charged with fraud after claiming the company’s shopping app was powered by AI—when it was actually humans in the Philippines manually completing transactions.

What happened:

  • Albert Saniger, Nate’s founder, raised $50M+ in funding, including a $38M Series A, pitching the app as an AI that could buy anything online in one click.

  • In reality, offshore contractors in the Philippines were manually placing orders—there was no AI behind the scenes.

  • The U.S. Department of Justice charged Saniger with securities fraud and wire fraud—both carrying up to 20 years in prison.

  • Nate shut down in early 2023 after burning through millions in funding.

This is a textbook case of a ā€œpseudo-AIā€ startup—where human labor is disguised as automation to cash in on funding and hype. Hype doesn’t equal capability. Investors and users should demand transparency on what’s truly AI-driven—and what’s just smoke and mirrors. Real AI is messy, expensive, and hard to build. If it sounds too good to be true, it probably is.

⚔ Quick Reads – Don’t Miss These

Figma sends legal threat over AI lookalike → Lovable’s AI designs spark Figma trademark drama. A viral AI design app may have pushed too far—Figma’s legal team just fired back.

Hugging Face just acquired a robotics company → Meet Pollen: the AI-powered robot joining the Hugging Face family. Yes, that Hugging Face. Now they’re stepping into the physical world.

OpenAI is quietly building a social network → OpenAI's new app may rival X. Early screenshots show a sleek, AI-powered feed—and some say it’s a direct shot at Elon’s platform.

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