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Today:

• Grok 4.2 Deploys "Four-Brain" Team to Argue Its Way to Better Answers

• Gemini Adds Vocals and Lyrics with New Lyria 3 Music Model 

• SpaceX Acquires xAI Following Massive $3 Billion Saudi Investment 

• Perplexity Ditches Ads to Position Itself as an "Accuracy Business" 

• OpenAI Releases Benchmark to Test If AI Can Secure Crypto Code 

• World Labs Raises $1 Billion to Teach AI "Spatial Intelligence"

GROK 4.20 is... different

Grok 4.2’s beta adds a four-brain setup inside one model. A “captain” agent splits your question into tasks, then three helpers tackle facts, math/code, and creative pushback. They think at the same time, argue, cross-check, and the captain merges their best points into one reply. Harper gulps real-time posts from X, giving near-live news; Benjamin tests numbers and code; Lucas challenges groupthink. 

This design boosts accuracy without costing four times the power. Early stock-trading tests beat rivals and stayed profitable. Full release should soon enter public hands for trials.

WATCH THE VIDEO ON YOUTUBE

The Google chatbot now makes music (and it’s kind of a big deal)

The Gemini app just got “make me a song” built in — using Lyria 3, their latest music model, rolling out in beta. The output is 30-second tracks, and you can start from text prompts or from an image/video you upload (so you can literally feed it a moment and ask for a vibe).

Two details that stood out to me:

• It can generate lyrics for you (you don’t have to write them), and you can steer things like style, vocals, and tempo more directly.

• Every track gets AI-made cover art and the audio is watermarked with SynthID, plus they’re expanding their “is this AI-generated?” checking tools to include audio verification too.

Why this matters: this is another step toward “one prompt → finished content bundle” (audio + cover + sharable link). If you’re making reels, shorts, or even simple background music for videos, this is the kind of feature that quietly saves hours.

Saudi-backed Humain reportedly put $3B into xAI right before it got folded into SpaceX

A report says Humain (an AI company owned by Saudi Arabia’s Public Investment Fund) invested $3 billion into xAI as part of its Series E, and that stake was later converted into SpaceX shares after SpaceX acquired xAI.

The same report ties this to a bigger infrastructure play: Humain and xAI had already committed to building 500MW of AI data center and compute infrastructure in Saudi Arabia, alongside deploying xAI’s Grok models in the country.

Why this matters: the “AI race” isn’t just models anymore — it’s power, data centers, and national-scale partnerships. Whether you love or hate that, it’s where the leverage is.

(Also: any time you see numbers this big, the real story is usually who gets long-term access to compute and where the next cluster gets built, not the headline itself.)

Perplexity says it’s pulling ads from search because trust matters more

Perplexity says it dropped ads in its search product because ads can make people second-guess every answer — and it wants to be an “accuracy business” instead.

They’re leaning harder into subscriptions (the story cites plans in the $20–$200/month range) and claims the company has 100M+ users and an $18B valuation.

Why this matters: we’re watching AI search split into two camps:

• Ad-funded answers (scale fast, but users always wonder what’s “sponsored”)

• Paid answers (smaller, but trust is the product)

And yeah… this is also a positioning move against competitors who are experimenting with ads in AI experiences.

🧠RESEARCH

Experiential Reinforcement Learning

This paper introduces a new training method where AI models learn by explicitly reflecting on their past attempts, similar to how humans learn from experience. Instead of just receiving a pass/fail grade, the AI verbalizes what went wrong and refines its strategy before "internalizing" the lesson for future use. This approach significantly boosts performance on complex reasoning and decision-making tasks.

BitDance: Scaling Autoregressive Generative Models with Binary Tokens

BitDance is a new image-generation model that processes images as compact binary codes (0s and 1s) rather than complex numerical values. By predicting these simple "bits" in parallel chunks, it creates high-quality images much faster and more efficiently than current leading models. This method makes building massive visual AI systems cheaper and more scalable.

WebWorld: A Large-Scale World Model for Web Agent Training

WebWorld is a massive digital simulator designed to train AI agents to navigate the internet. Built on over a million real-world web interactions, it provides a safe, realistic playground for bots to practice complex, long-term tasks like booking flights or managing accounts. Agents trained in this environment rival the performance of top-tier models like GPT-4 on web challenges.

📲SOCIAL MEDIA

🗞️MORE NEWS

OpenAI Introduces EVMbench OpenAI and Paradigm have launched EVMbench, a new scorecard designed to test how well AI can find and fix bugs in the computer code that runs cryptocurrency. Using 120 real-world examples of past security failures, this tool measures if an AI is smart enough to protect digital money or dangerous enough to steal it. The goal is to ensure that as AI becomes more independent, it strengthens online security rather than creating new risks for financial systems.

Fei-Fei Li’s World Labs Raises $1 Billion Renowned AI expert Fei-Fei Li has secured $1 billion for her startup, World Labs, giving the company a massive $5 billion valuation. The team is building "spatial intelligence," which teaches computers to understand and navigate 3D space just like humans see the physical world. They plan to use this funding to improve "Marble," a product that turns simple text or images into fully interactive, three-dimensional environments.

Ex-DeepMind Scientist Raising $1 Billion for Superhuman AI David Silver, a leading researcher who helped create the AI that mastered the game Go, is raising $1 billion to build a machine smarter than any human. His new company, Ineffable Intelligence, plans to use "reinforcement learning," a method where AI teaches itself through trial and error, rather than just learning from human writing like ChatGPT does. Investors like Sequoia Capital are backing this ambitious project, valuing the company at $4 billion before it has even released a product.

Netflix Threatens Litigation Against ByteDance Netflix has sent a severe legal warning to ByteDance, claiming their new AI video tool, "Seedance 2.0," is illegally copying characters and scenes from hits like Stranger Things and Squid Game. The streaming giant argues the AI acts like a "piracy engine," allowing users to generate videos that look exactly like copyrighted shows without permission. Netflix has demanded that ByteDance immediately stop using their content to train the software or face an immediate lawsuit.

OpenAI Hires Instagram Executive Charles Porch OpenAI has hired Charles Porch, a veteran executive who spent 15 years managing partnerships at Instagram, to lead their global creative relationships. His new role focuses on building friendly bridges between the AI company and artists, musicians, and content creators. This move suggests OpenAI is trying to smooth over tensions with the creative industry by bringing in someone known for helping talent succeed.