that perform at scale and grow with your business. From optimizing spend and cash flow to building seamless, rewards-driven customer experiences, Marqeta's solutions are designed for longevity. See what
Feature flags can accelerate learning, not just control rollouts. Teams can turn guesswork into fast, confident product decisions by using painted doors to test demand, dogfooding to refine value, and targeted betas to validate functionality.
Businesses drown in data, but only a small core truly drives understanding: about 100 metrics, 50 key events, and 150 defining attributes. When these are structured through clear equations and semantic links, teams replace noise with insight, and AI becomes a reasoning partner, not just a reporting tool.
2025.10.24·
opinionatedintelligence.substack.com·14 min read·TLDR Product
Teams fail when they chase metrics instead of meaning. The piece offers five principles for measuring what matters: start with outcomes, balance multiple metrics, favor leading over lagging indicators, add qualitative context, and design dashboards that reveal insight instead of confirming bias.
Google's AI product teams prototype with Imagen, Veo, and Opal to test ideas in minutes rather than weeks. Jaclyn Konzelmann's frameworks teach PMs to think big, launch fast, and evolve constantly, focusing on creativity, adaptability, and building in public instead of chasing perfection.
AI agents are already acting on user accounts. Agent Shield [14]shows you which sessions are human, bot, or agent—helping PMs uncover risks in minutes, for free.
Google has published a paper describing a computational approach that demonstrates a quantum advantage compared to current algorithms. The effort centers around a concept called 'quantum echoes', a series of operations on the hardware qubits that make up the machine. Using the approach, Google researchers completed a task using quantum computing that could have been done on classical hardware, demonstrating quantum utility. Google has several quantum algorithms in the pipeline, so more announcements are expected soon.
Meta is cutting about 600 jobs in its AI division, mainly in teams focused on artificial-intelligence products, infrastructure, and long-term AI research. The TBD lab won't be affected. There will be no changes to the broader Meta Superintelligence Labs structure. Most of the affected employees will have the opportunity to be redeployed to other jobs at Meta.
Arkade is a new upper-layer network protocol built on the Bitcoin blockchain that enables more user-friendly payments and extended financial use cases. Many view the protocol as the most important Bitcoin protocol rollout since the Lightning Network back in 2018. Arkade mixes the benefits of the Bitcoin network's inherently decentralized and non-custodial nature with the ease of use and speed of centralized fintech systems. It can be used for a variety of financial use cases, such as lending and trading.
There are no commercial spaceports in the Middle East or Africa. Oman's geography makes it a uniquely suitable location in the region for a spaceport. It is aiming to join the small number of countries that possess the facilities to launch objects into space by 2027. If all goes according to plan, the spaceport will launch everything from small suborbital rockets to superheavy behemoths into space.
This post contains a collection of personal scripts from a developer. The scripts help streamline the developer's workflow. For example, one script creates shell files, makes them executable, adds some Bash prefixes, and then opens them in an editor, making it quick to create working shell scripts. The scripts span multiple categories, including Clipboard, Internet, Text processing, and Process management.
Engineering managers should still write code because it helps keep their mental model of software development fresh. Staying completely away from code as a manager means letting your knowledge calcify around how things worked the last time you regularly wrote production code. The key is knowing when it is helpful versus when it becomes a bottleneck. It is fine to brush up on an intern's feature after they've moved on, but becoming the only person who can deploy releases is definitely a problem.
Top AI researchers and executives are regularly working 80 to 100 hours a week. They see their work as critical to a seminal moment in history. Many are motivated by the intense competition with rivals and their own curiosity about model possibilities. Some are now multimillionaires, but they don't have time to spend their fortunes.
Big companies and startups are both dysfunctional, just in different ways. Figure out what the relevant trade-offs are and what kind of dysfunction you want to sign up for. It's more important to have a manager who has your back, a team that works well together, and interesting projects. The difference between types of companies is smaller than the differences between companies of the same type.
Elon Musk has threatened to leave Tesla to pursue AI projects outside the company if a new pay package that could be worth as much as $1 trillion is not approved.
You can't have an AI strategy without a data strategy. The most powerful agents are grounded in your data, connected across pipelines, and deployed securely at scale.
Meta will lay off roughly 600 employees to reduce layers and operate more nimbly. The cuts will impact workers across Meta's AI infrastructure units, the Fundamental Artificial Intelligence Research unit, and other product-related positions. They will not impact employees within TBD Labs. Meta will pay 16 weeks of severance plus two weeks for every completed year of service, minus the notice period.
AI labs are racing to build giant data centers due to a deep belief that adding more compute power to existing AI training methods will eventually yield superintelligent systems. A growing group of AI researchers are saying that the scaling of large language models may be reaching its limits and that other breakthroughs may be needed to improve AI performance. Cohere's former VP of AI Research has launched a new startup, Adaption Labs, to build thinking machines that adapt and continuously learn. If the startup is right about the limitations of scaling, the implications could be huge - billions of dollars have already been invested in scaling.
Snapchat's new "Imagine Lens" AI, initially exclusive to paid users, is now free in the US, allowing users to edit or generate Snaps by inputting custom prompts. This expansion comes amid competition from Meta and OpenAI's advanced AI video features. Snap aims to attract users by offering limited free AI-generated images with plans to expand access to other countries.
OpenAI's Sam Altman wants to create a factory that can produce a gigawatt of new AI infrastructure every week. To make this vision happen would require a lot of work. This article looks at whether the vision is physically feasible and what it could mean for different energy sources, upstream CapEx, and the US vs China competition.
RL-training for LLMs scales poorly. Most gains are from allowing LLMs to productively use longer chains of thought. This may be evidence that compute scaling will be less effective for AI progress than previously thought. The finding could lengthen timelines and affect strategies for AI governance and safety.
GPT-5 Pro has solved complex problems in abstract algebra and aided in quantum computing research, showcasing AI's growing capability to perform expert-level tasks. Creating these benchmarks involves extensive human input, highlighting the ongoing need for human oversight in AI applications.
Create custom AI agents that you can actually ship in one unified AI-powered low-code platform [11]. Build multi-agent workflows with a visual drag-and-drop interface, connect to your enterprise data, and deploy with built-in security and governance. No fragmented tools or
Helion is a Python-embedded domain-specific language (DSL) for authoring machine learning kernels that compiles down to Triton. It makes it easier to write correct and efficient kernels while enabling more automation in the autotuning process. Helion combines a familiar and high-level PyTorch-like syntax with a powerful ahead-of-time autotuning engine to provide a unique balance of developer productivity, fine-grained control, and performance portability. It is currently in beta.
World-In-World introduces the first open benchmark platform for evaluating world models in closed-loop environments where agents actively interact with their surroundings. It shifts focus from visual fidelity to task performance.
LightMem is a streamlined memory management system for large language models that offers tools for storing, retrieving, and updating long-term memory in AI agents with minimal overhead.
Reddit is suing Perplexity, SerpApi, Oxylabs, and AWMProxy to stop them from scraping its data. It claims Perplexity will apparently do anything to get Reddit's data except enter into an agreement with Reddit directly. Reddit sent a cease-and-desist letter to Perplexity in May last year, demanding it stop scraping Reddit data, but Perplexity claimed it didn't use Reddit content. This was shown to be untrue after content posted on Reddit was produced by Perplexity within hours of the post being made.
ChatGPT's one-month retention has skyrocketed from under 60% two years ago to an unprecedented ~90%. YouTube was the previous best-in-class with ~85%. ChatGPT's six-month retention is trending to ~80%.
Over 20,0000 signatories, including AI pioneers Geoffrey Hinton and Yoshua Bengio, Apple co-founder Steve Wozniak, Richard Branson, Prince Harry, Steve Bannon, Glenn Beck, five Nobel laureates, and Pope Francis's AI advisor, called for a prohibition on developing superintelligence until proven safe and controllable with strong public buy-in.
2025.10.23·
superintelligence-statement.org·5 min read·TLDR AI