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 Welcome, AI enthusiasts.

Google’s new breakthrough AlphaChip method creates a powerful feedback loop: AI design chips, which train more advanced AI, which designs even better chips.

With this virtuous cycle, 10M context windows (in research), and upgraded Gemini models, is Google quietly pulling ahead in the AI race? Let’s get into it…

In today’s issue:

• Google revolutionizes chip design

• YouTube support added to NotebookLM

• Find viral clips with Canva’s ‘Highlights’

• AI-Generated Images

• 6 new AI tools & Tools on sale

• New AI Job Opportunities

• More AI & tech news

Read time: 4 minutes

GOOGLE DEEPMIND

🤖 Google revolutionizes chip design

The Rundown: Google DeepMind just unveiled AlphaChip, an AI system that designs computer chips by using reinforcement learning to create superhuman chip layouts in hours rather than months.

The details:

• AlphaChip has been used to design layouts for the last three generations of Google’s Tensor Processing Units (TPUs), improving performance and accelerating the design cycle.

• The AI system uses a novel “edge-based” graph neural network to learn relationships between chip components and generalize across different chip designs.

• Google is releasing a pre-trained checkpoint of AlphaChip, sharing the model weights to encourage further research and development in AI-assisted chip design.

• AlphaChip’s impact extends beyond Google, with companies like MediaTek adopting the technology for their most advanced chips used in smartphones and other devices.

Why it matters: AlphaChip creates a powerful feedback loop: better AI models design better chips, which enable the training of even more advanced AI models, which design even better chips, and so on. This self-reinforcing cycle could dramatically accelerate AI progress, and at a level that any human will struggle to compete with.

YOUTUBE

▶️ YouTube support added to NotebookLM

The Rundown: Google just upgraded its NotebookLM tool, adding support for YouTube videos and audio files, along with easier sharing of Audio Overviews—its latest viral AI hit that turns notes, PDFs, Google Docs, and more into AI-generated podcasts.

The details:

• NotebookLM now supports public YouTube URLs and audio files, allowing users to analyze videos, lectures, and audio alongside existing text sources.

• The tool leverages Gemini 1.5’s multimodal capabilities to summarize key concepts from videos and transcribe audio.

• A new sharing feature allows users to generate public links for Audio Overviews, making collaboration even easier.

• These updates aim to streamline tasks such as creating study guides, analyzing multiple perspectives on issues, and extracting important information from video, audio, and text.

Why it matters: It’s a big day for Google. The company’s viral hit with NotebookLM is now even more impressive with access to YouTube videos and audio files. YouTube is an endless treasure chest of how-to guides, lectures, documentaries, and entertainment—and now, anyone can consume hours worth of videos in minutes with AI.

AI TRAINING

🎥 Find viral clips with Canva’s ‘Highlights’

The Rundown: Canva's ‘Highlights’ feature uses AI to automatically select the best moments from your long-form videos, saving you tedious time spent on editing and increasing the quality of your content.

Step-by-step:

1. Open your video in Canva's editor (requires a paid subscription).

2. Click "Edit video" in the top menu, then select "Highlights" from the Tools section.

3. Let the AI analyze your long video and generate highlight clips.

4. Review the suggested highlights and select the viral short clips you want to use for Instagram, TikTok, and YouTube Shorts!

Prompt of today

Prompts:

concept art of the dark fantasy world, a path leading to an old gothic church surrounded by trees with yellow leaves in autumn, night time, misty atmosphere, mysterious figures walking around, brush strokes, digital painting, artstation style --ar 3:4

Tools showcase

• 🔎 AI Search Grader - Quickly analyze + improve your brand’s visibility and perception on AI search engines (free tool)*

• 📅 BeforeSunset AI 2.0 - Customizes your schedule with intelligent planning

• 🏡 Neolocus - AI renders for interior design

• 🪄 Clarity - AI image upscaler and enhancer

• 💻 Helicone - Open-source platform for monitoring and debugging AI projects

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Tools on sale

• 🏷️80%Off Instacap: Instantly screenshot images and make collaborative comments with this Chrome extension

• 🏷️92%Off Quickads: Use AI to analyze winning social ads and generate image or video content in a few clicks

• 🏷️78%Off Content Boom: Streamline your content creation process with this AI-powered WordPress plugin for SEO

• 🏷️83%Off Muraena: Find the perfect B2B leads out of 140 million profiles using AI search and advanced filters

• 🏷️59%Off Legitt AI: Use this AI platform to create, sign, track, and manage legally-binding contracts and proposals

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New AI Job Opportunities

• 💻 Palantir Technologies - Software Engineer

• ⚖️ Weights & Biases - Commercial Counsel

• 📈 Superannotate - Vice President of Marketing

• 📊 Shield AI - Product Manager

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AI around the world

Free workshop: 1 hour to AI proficiency. Get confident with prompting, see AI demos in action, and leave with use cases to apply immediately. Sign up.*

AstraZeneca partnered with Immunai, paying $18 million to use the biotech firm’s AI model of the immune system to enhance cancer drug trial efficiency.

Visa agreed to acquire AI-driven payments protection firm Featurespace to enhance its financial crime and fraud detection capabilities—the acquisition price was not disclosed.

Runway launched The Hundred Film Fund to provide grants of $5,000 to $1 million for filmmakers using AI in their projects.

Microsoft announced a $1.3 billion investment in Mexico to enhance AI infrastructure and skills training over the next three years.

Blackstone confirmed a $13.3 billion investment to build an AI data center in northeast England, creating 4,000 jobs including 1,200 in construction.

Hugging Face reached 1 million free public AI models on its platform, highlighting the trend towards specialized models for diverse use cases rather than a single dominant model.

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