SATURDAY · AUGUST 8, 2026 PM Intelligence
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Product

Lenny's Newsletter

How tech workers feel about AI in 2026 | Annual AI sentiment survey

Recognize that half of your team may be struggling with burnout and uncertainty, necessitating a shift towards more empathetic management practices. Prioritize regular check-ins and support systems to foster a healthier work environment and retain talent.

Leah Tharin

You're doing Activation wrong

Focus on refining your activation strategy to prioritize the right user segments, rather than just increasing overall activation rates. Shift your approach to view activation as a holistic company challenge that requires cross-functional collaboration, ensuring that marketing, product, and customer success align on user needs and expectations.

Intercom Blog

Doing the right thing when things go wrong

When customers rely on you, minutes matter in an incident. Here's the process Fin's engineers follow to detect, mitigate, and learn from every one.

Engineering

Stack Overflow Blog

Explorers, exploiters, and the myth of the 100x engineer

The “find the special ones and promote their traits” approach isn’t the best or only way to drive AI adoption and productivity on an engineering team. ​​​​‌‍​‍​‍‌‍‌​‍‌‍‍‌‌‍‌‌‍‍‌‌‍‍​‍​‍​‍‍​‍​‍‌​‌‍​‌‌‍‍‌‍‍‌‌‌​‌‍‌​‍‍‌‍‍‌‌‍​‍​‍​‍​​‍​‍‌‍‍​‌​‍‌‍‌‌‌‍‌‍​‍​‍​‍‍​‍​‍‌‍‍​‌‌​‌‌​‌​​‌​​‍‍​‍​‍‌‍​‌‍‌‌​​‍‍‌​‌‌​‌‍​‌‌‍​‌‍‍‌‍‌‌…

Meta Engineering

GEM Training: How Meta Doubled Ads Foundation Model Efficiency

Meta’s Generative Ads Recommendation Model (GEM), the foundation model behind ads recommendations across Instagram and Facebook, now trains at LLM scale on several thousand of the latest-generation GPUs. This post goes into the details on how we achieved: doubling end-to-end (E2E) training efficiency to 20–25% Model FLOPs Utilization (MFU) while sc…

Cloudflare Blog

BGP Origin Attribute Manipulation and Its Impact on the Internet

When BGP attributes are manipulated, PMs typically focus on immediate performance metrics — but this shows the long-term implications of trust and reliability in routing decisions can be overlooked. Understanding how subtle changes in network attributes can influence traffic behavior is crucial for making informed trade-offs between flexibility and stability in product design.

Strategy

CB Insights

Executive Interview: OutcomesAI

David Plummer, CCO at OutcomesAI, tells CB Insights how they view the market, customer needs, and their company. How do you define your market and where does your company fit into that space? OutcomesAI has built what we call GLIA, … The post Executive Interview: OutcomesAI appeared first on CB Insights Research .

Tomasz Tunguz

Aftermarket Harnesses

Focus on optimizing the tools and frameworks around your core product, as they can significantly enhance performance and cost-effectiveness. Prioritize co-designing systems that leverage existing resources intelligently, as this will drive better outcomes than relying solely on the inherent capabilities of the product itself.

Tomasz Tunguz

Google's Cloud Revenue Matches NVIDIA's Growth Rate

Monitor convergence trends between competitors to identify emerging market dynamics and adjust your strategy accordingly. When growth rates align, it often signals a shift in demand or competitive positioning that requires proactive decision-making.

AI & Research

OpenAI Blog

How We Built a Realtime System for Responsive Voice AI in Six Months

GPT-Live enables continuous voice interaction with AI, using a turnless speech model and low-latency architecture for faster, more natural conversations.

OpenAI Blog

Avatarin builds 24/7 retail agent with GPT-Realtime

Investing in AI-native customer service solutions like avatarin's can drastically improve user engagement and satisfaction, but neglecting to adapt to evolving customer expectations for personalized, context-aware interactions risks losing market relevance. PMs must prioritize integrating advanced AI capabilities to meet these demands or face potential declines in customer loyalty and sales.

MIT Technology Review

Path to artificial superintelligence

Investing in a semantic layer for AI products is crucial to enable effective collaboration among agents, which can significantly enhance problem-solving capabilities. Ignoring this need risks creating isolated systems that fail to leverage collective intelligence, ultimately leading to suboptimal performance and missed opportunities in innovation.

The Full Stack PM · Weekly

Product thinking, AI workflows,
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