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By Jessica McNellis and Chris Gale Private capital is past the point of asking whether AI works. Advisors who'd never written a line of code are now building prospect utilities and portfolio models in a weekend, work that used to sit in a three- or four-year development backlog.
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Previously in series * The Bare Minimum Setup * CLAUDE.md Done Right * Models, Tiers, and Effort * The Context Window Tax * Hooks That Guard Your Code * MCP Servers Worth Adding * Skills That Actually Fire * Subagents Done Right Introduction Claude Code already spawns agents without being asked. Give it two independent questions in
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Most engineering teams have some ritual sitting between "here's our strategy for the year" and "here's what's in this sprint." That middle layer — quarterly planning — is where a lot of teams quietly waste time: long meetings, unclear priorities, and decisions
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Overview birefnet-toonout is a fine-tuned version of BiRefNet specialized for anime-style background removal. Created by sprited, this model packages work by Matteo Muratori and Joël Seytre that improves pixel accuracy from 95.3% to 99.5% on anime test sets by fine-tuning on 1,228 curated anime images. The model
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Image AI-generated by the author with Google Gemini Flash Image Introduction The world moved today. Something which I never thought would happen until the end of the year - maybe December 2026 - happened today. An Open Weights Chinese Large Language Model matched Frontier American LLMs. And in several benchmarks,
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Most COSS founders pick a number too early and then guard it like a fortress. They settle on something that feels defensible, publish it, and refuse to touch it again, because changing prices feels like breaking a promise. The instinct is backwards. A price is a hypothesis. You test it
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"There is no ghost in the machine. There is only linear algebra, wearing a very convincing costume." Every time a product manager calls an AI system "smart" in a standup, somewhere an ML engineer flinches. Not because the word is entirely false, but because the actual
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Making crypto as simple as sending an email. Bitcoin solved digital money. Ethereum introduced smart contracts. But one problem still affects almost every blockchain today: Identity doesn’t exist. Every wallet is just a long string of random characters. Every blockchain has different wallet addresses. Every exchange asks you to
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The integration of Generative AI into financial services presents unprecedented opportunities alongside complex regulatory challenges. Institutions are actively seeking pathways to deploy advanced artificial intelligence without compromising the integrity of legacy systems or exposing sensitive client data. Leading this transformation is Radhika Venugopal, a Technical Architect with eighteen years of
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This interview is part of the Judge Spotlight series for the Decentralize AI Hackathon, where we sit down with our judges to explore their work, perspectives, and advice for builders. As a judge for the Decentralize AI Hackathon, Sjoerd Dijkstra, Co-Founder of Nosana, brings years of experience building at the
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* The number of companies using AI is up, but the number of tools per company hasn't grown much * ONS data also confirms that AI doesn't seem to be having a major impact on headcount * SMBs could be lacking a clear business use case for AI New
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Data center design has been shaped by a familiar set of priorities for years: keep systems available, resilient and predictable in any condition. Just like the electrical grid that powers these sites, they have been engineered to provide a highly consistent service regardless of what happens, even when individual components
