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Daily Digest #476

Want to get in front of 100k AI enthusiasts? Work with us here^138†

Hello folks, Bethany read our tutorial on how to create an ebook from your notes²⁹⁰ and took it to the next level. She wrote a 100-page ebook in a week with AI.³²³ Love to see this!

ps: Tune in to our session with Chris today where he’ll cover building an AI sales assistant.¹⁹⁷ Disclaimer: you might wanna build one of your own after the event.

Here’s what we have today;

PICKS

1.  AI Scientist by Sakana AI⁵⁷⁵ - Can AI discover new science? Sakana AI built an AI (based on LLMs) that does open-ended exploration and finds research ideas. It then tries to implement them, writes a paper (in <$15), and reviews it as well. This AI scientist’s first goal is to find ideas to enhance itself i.e. ideas for better ML research.🍿Our Summary⁴²⁹ (also below)

2. Universal Music and Meta just inked a multi-year deal.⁴²⁹ The agreement expands their partnership across Meta's platforms, including WhatsApp for the first time. No specific deets are revealed but it promises fair compensation for artists, tackles AI-generated content concerns, and opens up new monetization opportunities.

3. Cosine's Genie smashes the SWE-Bench record.³⁷⁵ This AI software engineering model scored 30.08% on the SWE-Bench, a 57% improvement over the previous best. They trained on proprietary data mimicking how human software engineers think and solve a problem—leading to much better performance than prompt engineering.

4. Enhance RAG response quality with better data preparation²³⁸. Unstructured data is notoriously hard to wrangle, but AI systems are hungry for it. Parse, de-identify, chunk, and embed clean, normalized data from any file format for your vector store with Tonic Textual for better quality RAG systems. (sponsor)

TOP TOOLS

• AssemblyAI²³⁷* - Multilingual Speech-to-Text API with Near-Human Accuracy

• Roastagram³⁷¹ - Discover your true personality, hidden in your roasted Instagram.

• ElevenStudios by ElevenLabs²⁷¹ - A fully managed AI dubbing service for creators who truly want to go global.

• Postgres.new by Supabase²¹³ - Spin up an unlimited number of Postgres databases in a browser with AI.

• Jupitrr AI³³⁰ - Auto-generate B-roll visuals for content marketing videos.

• Ultra AI²³³ - Your AI command centre for managing all your product needs.

• LLM-aided transcription²⁰⁴ - Enhance the quality of raw audio transcription output from Whisper by using LLMs.

• And looks like another batch of accounts is getting access to Google Vids³⁰⁸ (personal accounts are getting it first).

View more →¹⁰³
*sponsored

NEWS

• Prediction marketplace Polymarket partners with Perplexity²⁰⁰ to show news summaries.

• Retention of AI spend¹³⁹ grew to 70% in Q2 for businesses on Ramp.

• Jobhunters flood recruiters²²⁵ with AI-generated CVs.

• 86% of C-suite execs report revenue growth from AI^198† - Survey of 2500+ execs from enterprises with $10M+ revenue.

• AI has a revolutionary ability to parse details²⁶⁴. What does that mean for business?

View more →⁷⁴

Unclassifieds - short, sponsored links

• How is your company adapting to AI disruption? This new book can help. Culture Change Made Easy: Find Your Hidden Culture Patterns and Get Unstuck⁷⁰

QUICK BITES

Move over, human researchers! There's a new AI in town⁵⁷⁵ that can do everything from coming up with ideas to writing papers and even peer-reviewing them.

What's going on here?

Sakana AI is attempting to create an AI scientist who can discover new ideas, starting with ML research.

What does this mean?

The AI Scientist automates the entire research process—brainstorming ideas, coding experiments, analyzing results, writing papers, and even peer-reviewing. It can work in an open-ended loop, building on previous ideas to generate new research directions

The system produced papers in areas like diffusion models and transformer architectures that were rated as "Weak Accept" for top ML conferences. Each paper costs only about $15 to produce, potentially democratizing research.

Why should I care?

This could be a game-changer for scientific discovery. Imagine unleashing thousands of tireless AI researchers on the world's toughest problems! But it also raises thorny questions:

• Will human scientists become obsolete? (The creators say no, we'll just "move up the food chain")

• How do we prevent misuse, like flooding journals with AI-generated papers?

• Can AI really come up with truly revolutionary ideas, or just iterate on existing concepts?

Either way, the era of fully automated science is here. Better brush up on your peer review skills - you might be evaluating an AI's next big breakthrough!

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