---
title: "AI"
description: "508 posts about AI, summarised, each linking to the original."
---

# AI
> 508 posts about AI, summarised, each linking to the original.

## Articles

### [Amazon Nova Models: Now Available on Heroku](https://yomu.fyi/post/amazon-nova-models-now-available-on-heroku.md)
- Company: [Heroku](https://yomu.fyi/company/heroku.md)
- Author: Anush DSouza
- Published: Aug 26, 2025
- Type: Announcement

Amazon Nova’s nova-pro and nova-lite models are now available through Heroku Managed Inference and Agents, giving applications a managed way to use them. The integration initially supports text-to-text workloads, while multimodal support is planned for a future release; both models support tool use and offer 300,000-token context windows. Nova-lite targets speed, low latency, and high-volume real-time applications at $0.06 per 1M input tokens and $0.24 output, whereas nova-pro targets accuracy and deep reasoning at $0.80 input and $3.20 output. Heroku provides an OpenAI-compatible /v1/chat/completions endpoint for chat and generation, plus /v1/agents/heroku for built-in Heroku tools and custom MCP tools, with provisioning available in US and EU regions through the add-on or CLI.


### [Developing nuclear safeguards for AI through public-private partnership](https://yomu.fyi/post/developing-nuclear-safeguards-for-ai-through-public-private-partnershi.md)
- Company: [Anthropic](https://yomu.fyi/company/anthropic.md)
- Published: Aug 21, 2025
- Type: Problem & solution

AI models are increasingly capable, raising concern that they could provide dangerous nuclear-technical knowledge that threatens national security. Nuclear information is especially difficult for a private company to evaluate alone, motivating a partnership with the U.S. Department of Energy’s National Nuclear Security Administration (NNSA). Together with NNSA and DOE national laboratories, the company co-developed a classifier that distinguishes concerning from benign nuclear-related conversations, achieving 96% accuracy in preliminary testing. The classifier has been deployed on Claude traffic within a broader system for identifying model misuse, and early deployment data suggests it works well on real conversations; the approach will be shared with the Frontier Model Forum as a potential blueprint for similar safeguards developed with NNSA.


### [Heroku AI Expands Model Offering with OpenAI’s gpt-oss-120b](https://yomu.fyi/post/heroku-ai-expands-model-offering-with-openai-s-gpt-oss-120b.md)
- Company: [Heroku](https://yomu.fyi/company/heroku.md)
- Author: Anush DSouza
- Published: Aug 20, 2025
- Type: Announcement

Heroku has made OpenAI’s open-weight gpt-oss-120b available through Heroku Managed Inference and Agents, giving developers an OpenAI-compatible chat completions API for compatible SDKs and frameworks. The model uses a Mixture-of-Experts architecture with 117 billion total parameters, activating 5.1 billion per token and enabling operation on a single 80GB GPU; its Apache 2.0 license permits inspection and fine-tuning. It is designed for agentic workflows involving instruction following, function calling, web searches, and Python execution, while reported benchmarks place it near or above several open-weight models and sometimes OpenAI o4-mini. The add-on provides deployment, secure application access, agent actions, monitoring, and scaling without infrastructure management, with pricing of $0.15 per million input tokens and $0.60 per million output tokens.


### [Context engineering case studies: Etsy-specific question answering](https://yomu.fyi/post/context-engineering-case-studies-etsy-specific-question-answering.md)
- Company: [Etsy](https://yomu.fyi/company/etsy.md)
- Author: Jerome Bellegarda
- Published: Aug 19, 2025
- Type: Explainer

The post examines whether prompt engineering can provide truthful Etsy-specific answers for AI-assisted onboarding without fine-tuning an LLM, using Travel & Entertainment (T&E) policy questions and an external Etsy community-forum use case. For the internal pilot, T&E documents were indexed, embedding-based search retrieved relevant sections, and those sections were added to each question; a manually curated 40-question evaluation found approximately 86% correct or satisfactory answers, with 14% wrong or misleading. Explicit uncertainty instructions sometimes avoided hallucinations but also missed available answers, while asking for an explanation or chain-of-thought reasoning could improve results, though complex reasoning required careful setup. The experiments conclude that prompt engineering is a practical alternative to parameter-based fine-tuning, but requesting specific source snippets remains important for flagging potential hallucinations.


### [Trust Calibration for AI Software Builders](https://yomu.fyi/post/trust-calibration-for-ai-software-builders.md)
- Company: [Fly.io](https://yomu.fyi/company/fly-io.md)
- Published: Aug 18, 2025
- Type: Explainer

Trust calibration means aligning users’ trust in an AI product with its actual capabilities, avoiding both dangerous over-reliance and unnecessary rejection. Drawing on a 2023 review of more than 1,000 papers on trust in human/automated systems, the article distinguishes cooperative tools, where users accept or reject suggestions, from delegative systems, which replace human action and need stronger boundaries, fallbacks, and capability communication. It recommends calibrating expectations before and during interaction through capability-focused onboarding, context-sensitive feedback, visible suggestion boundaries, confirmation friction for high-stakes actions, and layered performance and process information; post-interaction reflection can still support learning. The article concludes that adaptive calibration is more effective than static approaches, anthropomorphic design can create unwarranted trust, explanations can overload users, and builders need measurements beyond satisfaction or adoption.


### [The Future Isn't Model Agnostic](https://yomu.fyi/post/the-future-isn-t-model-agnostic.md)
- Company: [Fly.io](https://yomu.fyi/company/fly-io.md)
- Published: Aug 8, 2025
- Type: Explainer

The post argues that AI product teams should stop treating model agnosticism as a default priority because users value reliable, familiar behavior more than model flexibility. It says improving models are converging, while differentiation shifts to product experiences shaped by prompts, edge-case handling, workflows, and model-specific behavior. Swapping models therefore means more than changing an endpoint: teams must rewrite prompts, rerun evaluations, and absorb changes users notice in how the product feels. Claude Code and Qwen 3 Coder, which the post says outperforms Claude in benchmarks, illustrate how tightly model behavior, interface, rituals, trust, and expectations can become coupled. The recommended approach is to choose one model, specialize deeply, and treat evaluation as architecture, with games such as an AI Town environment offered as a way to test models.


### [Forward Deployed Engineering](https://yomu.fyi/post/forward-deployed-engineering.md)
- Company: [Ramp](https://yomu.fyi/company/ramp.md)
- Author: Leo Mehr
- Published: Aug 5, 2025
- Type: Explainer

Forward Deployed Engineering (FDE) is presented as a customer-facing engineering function for B2B companies that need to integrate software deeply, customize implementations, and deliver outcomes for enterprise customers. Palantir is described as creating the role after its founding in 2003, with engineers deployed at military sites and customer offices; the model later spread to companies including Scale AI, C3.ai, Databricks, and Snowflake. At Ramp, the team grew from two to 16 FDEs after emerging in fall 2023, moving from firefighting toward generalized features, platforms, and AI that support enterprise product-market fit and new verticals. Its operating model spans prospects, implementation, rollout, and long-tail support, while “always be scoping” encourages direct requirement questioning, workarounds, and generalized solutions. The hiring guidance prioritizes drive, ownership, customer empathy, and communication alongside sufficient technical fundamentals, arguing that judgment about quick fixes versus scalable solutions is central to the role.


### [Unleashing new AI capabilities for popular frameworks in Firebase Studio](https://yomu.fyi/post/unleashing-new-ai-capabilities-for-popular-frameworks-in-firebase-stud.md)
- Company: [Google](https://yomu.fyi/company/google.md)
- Author: Jeanine Banks, Vikas Anand
- Published: Jul 23, 2025
- Type: Announcement

Firebase Studio announced updates to its cloud-based AI workspace that combine Gemini with Agent modes, Model Context Protocol support, and Gemini CLI across Flutter, Angular, React, Next.js, and Web projects. AI-optimized templates default to autonomous Agent mode and include airules.md files that give Gemini framework-specific guidance on coding standards, error handling, dependencies, and development practices. Developers can prompt Gemini to recommend Firebase backend services, import libraries or packages, update code, and explain additional setup steps. Workspace forking preserves an identical copy and the original’s entire agent chat history, supporting backups, experimentation, debugging, and collaboration, while enhanced prompts and a 100MB project upload limit broaden the workflow. The editor’s note says Firebase Studio will sunset on March 22, 2027, with lessons from its preview moving to Google AI Studio and Google Antigravity.


### [First Block with Varun Anand, cofounder of Clay](https://yomu.fyi/post/first-block-with-varun-anand-cofounder-of-clay.md)
- Company: [Notion](https://yomu.fyi/company/notion.md)
- Author: Anastasia Crew
- Published: Jul 22, 2025
- Type: Explainer

First Block features Varun Anand, cofounder of Clay, discussing the company’s path from a horizontal spreadsheet tool to a specialized go-to-market platform at the intersection of GTM and AI. He argues that product-market fit can emerge from curiosity, authenticity, and unique insights rather than rigid goal-setting or conventional market sizing. Clay changed its sales motion from seven demos for a $200/month product to self-serve after running eight daily “reverse demos,” in which customers brought real problems for 20–25 minute sessions that informed rapid iteration. Anand also describes hiring people without prior experience in the role, including more than half of Clay’s non-engineering team, and connecting flexible compensation with varied perspectives and competitive advantages.


### [How European businesses are turning company knowledge into competitive advantage](https://yomu.fyi/post/how-european-businesses-are-turning-company-knowledge-into-competitive.md)
- Company: [Notion](https://yomu.fyi/company/notion.md)
- Author: Laura Gregg
- Published: Jul 7, 2025
- Type: Explainer

European businesses hold valuable collective knowledge, but employees often spend hours searching across fragmented tools and storage systems for information that exists somewhere. The report presents a survey of 650 decision-makers across the UK, France, Germany, and eight other European countries to examine how organizations are responding to AI in knowledge management. Although 97% identify effective knowledge management as a competitive-advantage driver, only 28% use a structured, centralized approach; multiple tools cost nearly five working weeks per employee annually, while AI adopters are four times more likely to report significant cost savings. It also says 90% of respondents see Gen Z as a force for simpler, more transparent systems, and presents coordinated strategy, systems, and technology as ways to improve collaboration and decision speed.


### [First Block with Michael Truell, Co-founder and CEO of Cursor](https://yomu.fyi/post/first-block-with-michael-truell-co-founder-and-ceo-of-cursor.md)
- Company: [Notion](https://yomu.fyi/company/notion.md)
- Author: Anastasia Crew
- Published: Jun 17, 2025
- Type: Explainer

Michael Truell, co-founder and CEO of Cursor, recounts the company’s path from an initial mechanical-engineering AI project to an AI code editor and developer tool. He describes the pivot, the decision to fork VS Code, and the challenge of building AI-native coding tools while balancing speed with control. Cursor initially prioritized product quality over networking, speaking events, and hiring, then added roughly one person every two to three months while scrutinizing its first hires for belief in the vision and dissatisfaction with the current state. Truell argues that founders should question startup orthodoxy rather than follow universal rules, citing Cursor’s solution-first origin, four-person founding team, and deliberately slow hiring before its reported rapid growth.


### [Navigating The AI Revolution: The Importance Of Adaptation](https://yomu.fyi/post/navigating-the-ai-revolution-the-importance-of-adaptation.md)
- Company: [MongoDB](https://yomu.fyi/company/mongodb.md)
- Published: Jun 4, 2025
- Type: Problem & solution

A TDWI survey conducted with MongoDB and Capgemini found that only 11% of companies have AI applications in production, despite widespread recognition of AI’s value. The report identifies data readiness challenges including managing diverse data types, ensuring accessibility, and providing sufficient compute power, with less than half of companies managing newer data formats and only 41% feeling they have enough compute. The post argues that AI applications are dynamic, continuously adapting and learning from user behavior, requiring a flexible data foundation unlike traditional static software. MongoDB positions its modern database solutions as essential, citing examples like Lombard Odier’s modernization with generative AI tooling and Victoria’s Secret’s AI-powered visual search using MongoDB Atlas Vector Search. The post concludes that organizations must modernize their tech stacks and execution to keep pace with AI-driven change, or risk being left behind.


### [From failure to success: The birth of GrabGPT, Grab’s internal ChatGPT](https://yomu.fyi/post/from-failure-to-success-the-birth-of-grabgpt-grab-s-internal-chatgpt.md)
- Company: [Grab](https://yomu.fyi/company/grab.md)
- Author: Wenbo Wei
- Published: May 19, 2025
- Type: Problem & solution

In March 2023, an effort to reduce repetitive questions overwhelming Grab’s ML Platform support channels began as a chatbot for platform documentation and became GrabGPT, an internal ChatGPT-like tool. The initial chatbot used chatbot-ui and more than 20,000 words of Q&A documentation, but GPT-3.5-turbo’s 8,000-token limit forced summaries below 800 words; embedding search also performed poorly, so the approach was abandoned. The pivot extended existing frameworks, added Google login, and deployed a tool through Grab’s catwalk model-serving platform, later named GrabGPT. It reached 300 registered users on day one, more than 3,000 users and 600 daily active users by month three, and nearly all Grabbers according to the post, with private routing, global accessibility, multi-provider model support, and auditable interactions cited as reasons for adoption.


### [Introducing Notion AI for Work](https://yomu.fyi/post/introducing-notion-ai-for-work.md)
- Company: [Notion](https://yomu.fyi/company/notion.md)
- Author: John Hurley
- Published: May 13, 2025
- Type: Announcement

Notion introduces Notion AI for Work, an all-in-one set of AI capabilities built into its workspace to address time spent searching for answers, writing updates, and following up after meetings. The release adds AI Meeting Notes, Enterprise Search across connected tools, Research Mode for drafting documents from workspace sources and the web, access to top AI models, and bundled pricing. AI Meeting Notes transcribes conversations, summarizes them, surfaces action items, and stores meetings in Notion so they can be searched and connected to projects; connectors support Slack, Microsoft, Jira, Google Workspace, and GitHub, with more planned. Research Mode can produce project updates, research reports, and internal best-practice documents from a single prompt, while the offering starts at $20 per user per month versus the stated $150–300-plus range for separate tools. Research Mode and AI Meeting Notes are available, while Enterprise Search and connectors are rolling out.


### [Why the future of work depends on AI](https://yomu.fyi/post/why-the-future-of-work-depends-on-ai.md)
- Company: [Notion](https://yomu.fyi/company/notion.md)
- Author: Makenna Lowe
- Published: May 8, 2025
- Type: Explainer

The post examines why organizations struggle to make AI useful in daily work despite strong demand. Tool fragmentation forces teams to search across disconnected systems, manually prepare data, and switch context, while resource limits and concerns about hallucinations complicate adoption. A survey of 1,000 productivity-software decision-makers found that integrating AI into existing systems was the leading challenge, while productivity motivated 57% and AI specifically motivated 44% of platform evaluations. The post presents embedded AI and connected workflows as the response, citing Notion AI’s AI Meeting Notes and Enterprise Search as examples. It reports that 86% of users would be disappointed without it, over 70% report improved work quality and faster information processing, and 50% save more than an hour weekly.


### [Email wasn’t designed for modern work—so we started from scratch: A Q&A with Notion Mail founders](https://yomu.fyi/post/email-wasn-t-designed-for-modern-work-so-we-started-from-scratch-a-q-a.md)
- Company: [Notion](https://yomu.fyi/company/notion.md)
- Published: May 7, 2025
- Type: Announcement

Notion Mail’s founders argue that email remains universal but has become an overwhelming work hub, forcing messages ranging from spam to critical information into an equal inbox structure. They describe rebuilding it around a familiar inbox with Notion’s more opinionated conventions, including labels instead of folders, no nested labels, and a modern editor with shortcuts, slash commands, and mentions. The team says earlier AI plans focused on advanced drafting and auto-response, but research suggested most users need organization more than composition; on a given day, 80–90 percent may only want to read email. Its resulting Auto Labeling feature learns from a few confirmed examples and applies personalized labels, such as doctors’ appointments or customer support requests, to future messages. The founders position this as a shift from speeding up manual triage toward helping people take action and gather information, while leaving future direction to user feedback.


### [eBay Uses Agentic AI to Supercharge Personalized Ecommerce](https://yomu.fyi/post/ebay-uses-agentic-ai-to-supercharge-personalized-ecommerce.md)
- Company: [Ebay](https://yomu.fyi/company/ebay.md)
- Author: eBay News Team
- Published: May 6, 2025
- Type: Announcement

eBay announces a new AI shopping agent designed to provide personalized product recommendations and guidance throughout the marketplace and buying journey. It uses shopping preferences, user requests, and predictive inline messaging to support activities such as finding gifts or assembling a Spring Break wardrobe. The agent extends eBay’s shift from simple chatbots toward conversational and interactive systems intended to understand, interact with, and anticipate customer needs, combining agentic AI with eBay’s infrastructure, customer insights, and product knowledge. eBay says its Responsible AI team collaborates on AI-powered features to align them with safety, fairness, transparency, and accountability, while the new experience starts with a small percentage of U.S. customers and will expand on a rolling basis.


### [Early team](https://yomu.fyi/post/early-team.md)
- Company: [Cursor](https://yomu.fyi/company/cursor.md)
- Author: Sualeh Asif
- Published: Apr 26, 2025
- Type: Announcement

Cursor introduces a representative sample of the people on its team and collaborators, spanning infrastructure, distributed systems, AI research, design, performance, and product development. The profiles include Aman Karmani, Jeremy Stribling, Jacob Jackson, Ian Huang, Sasha Rush, Alex Haugland, Ryo Lu, Lukas Möller, Jack Gallagher, and Michael Feldstein, with prior work at GitHub, Keybase, OpenAI, Cornell, Google, Notion, DeepJudge, Midjourney, Figma, and Meta. Their cited work includes KBFS, speculative decoding, a browser-based multiplayer Minecraft engine, language-model efficiency and long-context research, Cursor’s in-house inference engine, and Midjourney pretraining and reinforcement learning. The post invites people interested in transformational AI products, frontier RL, AI infrastructure, or distributed systems to contact hiring@cursor.com.


### [eBay Reduces the Time to List on Mobile With New Simplified Selling Tool, Now Featuring Magical Listing AI Technology](https://yomu.fyi/post/ebay-reduces-the-time-to-list-on-mobile-with-new-simplified-selling-to.md)
- Company: [Ebay](https://yomu.fyi/company/ebay.md)
- Author: eBay News Team
- Published: Apr 9, 2025
- Type: Announcement

eBay has introduced a simplified, mobile-friendly listing flow that integrates its “magical listing” AI technology to reduce the effort required to create high-quality listings. Sellers start with photos and a title, while AI uses image matching and inference to suggest item specifics and categories through guided pages where sellers can review and approve the content. Early testing in the U.K. found a 50% reduction in total listing steps and faster listing times, while eBay says item-specific accuracy will continue improving through updates made during the year. The tool is available in the eBay mobile app for private sellers across all categories in the U.S., U.K., and Germany, and eBay plans to expand it to sellers using business tools.


### [Our Best Customers Are Now Robots](https://yomu.fyi/post/our-best-customers-are-now-robots.md)
- Company: [Fly.io](https://yomu.fyi/company/fly-io.md)
- Published: Apr 8, 2025
- Type: Explainer

Fly.io reports that users driving the platform’s most recent growth are robots rather than people, prompting a reconsideration of developer experience (DX) as the primary product lens. The post describes how vibe-coding workflows use Fly Machines—Docker containers running as hardware-isolated virtual machines—to create, modify, stop, and rapidly restart environments without paying during stopped periods. These workflows favor incremental filesystem state, object storage, and controllable routing for MCP connections, including potentially long-lived SSE connections that should reach the same stateful instance. Fly.io also proposes exposing its API through MCP and using sealed, tokenized secrets so isolated machines can substitute real OAuth credentials only when needed. It concludes that a useful robot experience (RX) will require more than an MCP interface, while managed Postgres remains the company’s most important engineering priority and the platform is still primarily designed for humans.


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