“Philipp Schmid shares Google’s Gemini API interactions quickstart guide, helping PM builders quickly set up and test the new Gemini AI model.”

#20 𝕏 Philipp Schmid shares Google’s Gemini API interactions quickstart guide, helping PM builders quickly set up and test the new Gemini AI model. #21 𝕏 Lenny Rachitsky shares eight actionable insights from Eric Ries—spanning financial gravity, CEO retention post-IPO, public-benefit corp structures like AnthropicAI, mission protection, and principled decision-making exemplified by Cloudflare.

“Philipp Schmid : The Gemini API File Search tool now offers true multimodal PDF and image retrieval using `gemini-embedding-2`, handling chunking, embedding, indexing and grounding in one call.”

#4 𝕏 Philipp Schmid : The Gemini API File Search tool now offers true multimodal PDF and image retrieval using `gemini-embedding-2`, handling chunking, embedding, indexing and grounding in one call. #5 𝕏 Google DeepMind partners with EVE Online’s developers to use the game’s complex, player-driven universe as a sandbox for AI agents focused on memory, continual learning, and long-term planning.

“Logan Kilpatrick launched a multi-modal File Search tool in the Gemini API powered by Gemini Embedding 2, now with custom metadata, inline citations, and free storage plus on-demand embedding generation.”

#4 𝕏 Logan Kilpatrick launched a multi-modal File Search tool in the Gemini API powered by Gemini Embedding 2, now with custom metadata, inline citations, and free storage plus on-demand embedding generation. #5 𝕏 Logan Kilpatrick rolled out edit mode in AI Studio Vibe Coding, letting you select components for quick edits, draw annotations directly on the UI with a pen, swap image assets via Nano Banana, or upload your own content. #23 in Greg Isenberg recommends using tools like OpenClaw and Hermes to scan Product Hunt and app stores for dormant 2019–24 SaaS products, buy them, then export their databases and support tickets into GPT/Claude to map real customer workflows.

“Google AI unveiled 8th-gen TPUs (TPUt for inference, TPUi for reasoning), the Gemini Enterprise Agent Platform, Agentic Data Cloud, Workspace Intelligence, and made Gemini Embedding 2 generally available.”

#2 𝕏 Google AI unveiled 8th-gen TPUs (TPUt for inference, TPUi for reasoning), the Gemini Enterprise Agent Platform, Agentic Data Cloud, Workspace Intelligence, and made Gemini Embedding 2 generally available. It also open-sourced the DESIGN.

“#23 𝕏 DeepLearning.AI : Google launched AlphaGenome, an open-weights model that deciphers non-coding DNA to pinpoint how variants shape gene behavior and disease expression.”

#23 𝕏 DeepLearning.AI : Google launched AlphaGenome, an open-weights model that deciphers non-coding DNA to pinpoint how variants shape gene behavior and disease expression.

“#10 𝕏 Guillermo Rauch says Vercel is investigating an incident where an attacker hijacked a Vercel employee’s Google Workspace via a breach at context.”

#10 𝕏 Guillermo Rauch says Vercel is investigating an incident where an attacker hijacked a Vercel employee’s Google Workspace via a breach at context.

“DeepLearning.AI : Google launched Lyria 3, an AI music generator that transforms text prompts or images into original 30-second songs.”

#2 𝕏 DeepLearning.AI : Google launched Lyria 3, an AI music generator that transforms text prompts or images into original 30-second songs. #7 𝕏 Google AI added Notebooks in Gemini App via NotebookLM for private context retrieval and chat-grounded research, and introduced customizable 2D/3D interactive visualizations in Gemini web chats. #9 𝕏 Google AI spotlights fun builder projects powered by last week’s open-source Gemma 4 models.

“#3 𝕏 Sundar Pichai announced Notebooks are now rolling out in the Gemini app for Google AI Ultra, Pro, and Plus web subscribers, letting users organize conversations, notes, and project sources. #7 ▶️ Google just casually disrupted the open-source AI narrative… Fireship Google’s Gemma 4 is a 31 billion-parameter, Apache 2.0-licensed open-source LLM that runs locally in 20 GB on an RTX 4090 by using TurboQuant and per-layer embeddings for compression.”

Today's top 25 insights for PM Builders, ranked by relevance from Blogs, X, YouTube, and LinkedIn. Anthropic Scales Managed Agents #1 📝 Anthropic Engineering Scaling Managed Agents: Decoupling the brain from the hands - This article describes an approach to scale managed agents by separating decision-making (the 'brain') from execution (the 'hands'), enabling better scalability and modularity of agentic systems. It outlines architectural patterns for building managed-agent platforms. #2 📝 OpenAI News The next phase of enterprise AI - OpenAI announces the next phase of its enterprise AI strategy, describing initiatives to accelerate adoption of advanced AI capabilities across businesses and enterprises. #3 𝕏 Sundar Pichai announced Notebooks are now rolling out in the Gemini app for Google AI Ultra, Pro, and Plus web subscribers, letting users organize conversations, notes, and project sources. The feature integrates with NotebookLM for seamless deep dives. #4 𝕏 Philipp Schmid rolled out Flex and Priority `service_tiers` for the Gemini API—Flex inference (`service_tier="flex"`) cuts costs by 50% on latency-tolerant workloads, while Priority (`service_tier="priority"`) guarantees low-latency with automatic fallback to Standard, all vi... #5 𝕏 AI at Meta unveiled Muse Spark, a multimodal model built from the ground up to integrate visual and textual data for richer AI understanding. #6 𝕏 Sundar Pichai announces that Gemma 4 has exceeded 10 million downloads in its first week, pushing total Gemma model downloads past 500 million, and shares excitement to see what users build next. Also covered by: @Santiago #7 ▶️ Google just casually disrupted the open-source AI narrative… Fireship Google’s Gemma 4 is a 31 billion-parameter, Apache 2.0-licensed open-source LLM that runs locally in 20 GB on an RTX 4090 by using TurboQuant and per-layer embeddings for compression. Gemma 4 big model (31 B parameters) downloads in 20 GB and delivers ~10 tokens/sec on a single RTX 4090, while its Edge variant can run on a phone or Raspberry Pi. TurboQuant compresses model weights by converting Cartesian data to polar coordinates and applying the Johnson–Lindenstrauss transform to quantize values to single sign bits while preserving distances. Models named E2B and E4B use “effective parameters” via per-layer embeddings, giving each transformer layer its own token embedding to introduce information exactly when needed. Also covered by: @Santiago ...

“Anthropic signed deals with Google and Broadcom to secure multiple gigawatts of next-generation TPU capacity—coming online in 2027—to train and serve its frontier Claude models.”

Anthropic Signs Google and Broadcom TPU Capacity Deal #1 𝕏 Anthropic signed deals with Google and Broadcom to secure multiple gigawatts of next-generation TPU capacity—coming online in 2027—to train and serve its frontier Claude models. Also covered by: @Lenny Rachitsky

“Google AI Edge Gallery - Google's official app for running Gemma 4 models on iPhone provides fast, useful local inference (notably the E2B model) plus image question answering, short audio transcription, and an interesting 'skills' demo showing tool-calling via HTML widgets.”

Google Launches AI Edge Gallery App for iPhone #1 📝 Simon Willison Google AI Edge Gallery - Google's official app for running Gemma 4 models on iPhone provides fast, useful local inference (notably the E2B model) plus image question answering, short audio transcription, and an interesting 'skills' demo showing tool-calling via HTML widgets. The app works well but conversations are ephemeral and it lacks permanent logs.