projects
projects on Beyond Market Intelligence: a running collection of 7 stories we have gathered and hand-picked because they are worth your time. Every post here touches on projects in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around projects, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
Claude Cowork finally remembers what you told the app in chat
Claude Cowork just got a significant upgrade: persistent memory. Anthropic is introducing shared memory across chat and Cowork, eliminating the need to repeatedly provide context about your projects, preferences, and ongoing conversations. This transformative update empowers users to seamlessly build upon previous interactions, fostering a more intuitive and productive AI experience. Discover how this advancement streamlines workflows and unlocks new levels of collaboration.
Would you choose a PhD advisor who gives you complete freedom but almost no guidance? [D]
Navigating the landscape of PhD advisors presents a critical decision. Consider this scenario: a fully funded ML PhD with a senior, respected advisor offering near-complete freedom—choose your topics, projects, and collaborations with minimal oversight. However, this autonomy comes at a cost: limited guidance or technical input. Is this a dream setup prioritizing independence, or a dealbreaker due to the lack of mentorship?
The Ultimate Guide to Contributing to Open Source Projects
Ready to contribute to open source but unsure where to start? This Ultimate Guide demystifies the process, covering everything from identifying responsive projects to mastering essential Git mechanics. We'll walk you through the realities of open-source contribution, ensuring your efforts are productive and welcomed. Discover how to effectively engage, navigate workflows, and make a meaningful impact. For a deeper dive into leveraging AI coding assistants, see our article, "How to Effectively Deploy Code With Claude Code."
Trump administration has spent nearly $4B to cancel offshore wind farms
The Trump administration’s decisions regarding offshore wind development have resulted in nearly $4 billion in taxpayer spending to cancel projects. Developers have now relinquished 12 offshore wind leases, with the most recent cancellation costing $1.2 billion. This represents a significant shift away from renewable energy investments and highlights the complexities of long-term energy policy. For those interested in exploring alternative approaches to streamlining operational infrastructure, consider our recent coverage of Naïve and their $28.5M raise.
Anyone here working on AI/ML projects? I’d like to join and contribute [R]
For those engaged in AI/ML projects, a valuable contributor is seeking to join your efforts. /u/Quiet-Cod-9650, currently studying deep learning and with a portfolio of completed projects, is eager to actively contribute and expand their skillset within a collaborative environment. They’re committed to learning and offer a strong desire to help advance ongoing initiatives. Explore potential synergies – if you have a project welcoming contributors, please connect. For further insights into related challenges, see our recent piece, "AI Slop Is Costing You Hours.
Lessons Learned After 8.5 Years of ML
After 8.5 years immersed in machine learning, certain core principles consistently emerge. Patience is paramount; progress isn't always linear. Optimism fuels exploration, while discipline ensures rigorous execution. Successful ML isn’t solely about algorithms—it’s about well-defined projects and high-performing teams. These lessons underscore the importance of a grounded, iterative approach. For a deeper dive into practical challenges, consider "Most RAG Hallucinations Are Extraction Errors," which highlights critical error identification in retrieval-augmented generation systems.
Cascade raises $3.5M to help construction firms find and win projects
Cascade, a platform empowering construction firms to identify and secure projects, has secured $3.5 million in seed funding. The round, led by a16z Speedrun alongside Ada Ventures and Snowball VC, addresses a critical need for streamlined project acquisition within a traditionally fragmented industry. Cascade’s solution promises to transform how construction businesses operate, enabling greater efficiency and growth. This investment follows similar momentum in the sector, as highlighted by Dimension Capital’s recent $800 million fund focused on the intersection of science and compute.