Meta Delays Rollout of New AI Model After Performance Concerns (4 minute read)
Meta's new foundational AI model, Avocado, has fallen short on internal tests for reason, coding, and writing. It is not performing as strongly as the leading AI models from rivals like Google, OpenAI, and Anthropic. The model's release will be delayed until at least May while Meta works on improving it. Meta's leaders are already thinking about the next AI model, which will be named Watermelon. |
Google Maps gets its biggest navigation redesign in a decade, plus more AI (3 minute read)
Google Maps has implemented a feature called Ask Maps that helps users plan trips and answers complex questions about locations. Powered by Gemini, it is accessible via a button up near the search bar. It works like a chatbot, so users can send follow-up prompts to refine and expand on its suggestions. Ask Maps is rolling out now in the US and India, but only on Android and iOS. Web support will come later. |
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Science & Futuristic Technology |
Building a Home Robot With Zero Robot Data (3 minute read)
Data-first home robot company Sunday Robotics has announced a Series B raise. The company's unique approach claims zero robot data, with a focus on real-world data only. It uses exact duplicates of tools mounted on robot arms to collect all of its robot data while data collectors wear a hat that captures wide field-of-view RGB camera images. The company has developed a glove that allows it to create a distributed network of operators to collect high-quality, diverse data at a massive scale. |
The Elusive Cost Savings of the Prefabricated Home (42 minute read)
Factory-manufactured homes can, in certain cases, yield substantial cost savings over conventional construction. A single-wide manufactured home is probably around 40% to 50% cheaper than an equivalent site-built home. However, these savings quickly disappear with larger and more complex homes. This doesn't mean the industrialization of home building is a doomed enterprise, but it does show how it is an enormously complex problem. |
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Programming, Design & Data Science |
The Perplexity API platform is now a full-stack, model-agnostic API platform for building agents (3 minute read)
The Perplexity API platform replaces model providers, search layers, and embeddings. It allows developers to swap between the latest frontier models and configure curated presets, tool access, step limits, and token budgets, all from one endpoint. Developers have direct access to the same index that powers Perplexity to call real-time information with citations within apps and agents. They will also have access to the same execution environment that Perplexity uses internally as a standalone service. |
Shopify/liquid: Performance: 53% faster parse+render, 61% fewer allocations (2 minute read)
Shopify's Liquid is an open-source Ruby template engine somewhat inspired by Django. Its developer found dozens of new performance micro-optimizations using a variant of Andrej Karpathy's Autoresearch, a system that runs hundreds of semi-autonomous experiments to find new effective training techniques. Implementing the optimizations resulted in a 53% improvement on benchmarks, an impressive improvement for a code base that's been tweaked with hundreds of contributors over 20 years. The experiment shows how effective the Autoresearch pattern can be. |
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The Shape of the Thing (5 minute read)
The market instability in February was a preview of what it feels like when the increasing ability of AI starts to interact with markets, jobs, and governments all at once. While feelings of uncertainty will likely spread further, uncertainty is not the same as helplessness. The choices that individuals and organizations make now matter because there is still time to influence the direction the technology develops. Every organization trying to figure out a good way to use AI right now is setting a precedent for everyone else. |
This Might Be the Last Job You Have (7 minute read)
A huge amount of modern work is already hollow. People sit in meetings that don't matter, produce things that won't last, and perform a version of productivity that everyone silently pretends is real. Most mass layoffs aren't really due to some AI revolution, but because those jobs were already obsolete. AI is bringing in an era where the constraints of work that told us what to do, who to be, and how to spend our days are dissolving. It will take us some time to learn how to deal with this freedom. |
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Don't Vibe — Prove (16 minute read)
This post describes a vibe coding system that uses types as specifications, which forces compilers to reject code until they can produce a valid proof that the output satisfies the specification. |
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