extraction
4 stories filed under extraction on Beyond Market Intelligence. The newest of them: “Explore Claude Haiku 5.5's faster workflows and 90% lower costs”, “Your ambitions don't need a massive token budget to succeed”, and “Describe a task in English and let AI compile it into a local program.”. Claude Haiku 5.5 slashes list prices by 90% while adding adaptive thinking and a 1M token context window. Ambition shouldn't come with a brutal price tag, especially when you're pushing the limits of what data can do. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every extraction story on Beyond Market Intelligence, newest first.
Explore Claude Haiku 5.5's faster workflows and 90% lower costs
Claude Haiku 5.5 slashes list prices by 90% while adding adaptive thinking and a 1M token context window. That's a dramatic leap from Haiku 4.5, making classification, extraction, and sub-agent workflows far more accessible in Python. Faster workflows at a fraction of the cost invite real experimentation. For deeper context on how AI agents learn from weaknesses, explore our coverage of Google's EnvHarness research.
Your ambitions don't need a massive token budget to succeed
Ambition shouldn't come with a brutal price tag, especially when you're pushing the limits of what data can do. The real challenge isn't big ideas, it's keeping the token bill from crushing them. That's where smart, accessible tools step in, letting you stretch further without the overhead. For a deeper look at how evaluation standards are shifting, our piece on NeurIPS paper results shows the same principle: progress doesn't require excess.
Describe a task in English and let AI compile it into a local program.
Describing a function in English and watching it become a reusable neural program that runs locally, no cloud dependency, is a meaningful step past the usual demo cycle. ProgramAsWeights, an open-source project from the University of Waterloo, separates compilation from inference: a larger model writes the task-specific weights, while a smaller interpreter executes them repeatedly. It works on a CPU, compiles in seconds, and even outperforms direct prompting of a much larger model on FuzzyBench.
Unlocking a 50,000-year fuel source from seawater.
The oceans hold an almost inconceivable amount of nuclear fuel, and Fluxnium has found a way to tap into it. Their fibers can extract uranium directly from seawater, a source vast enough to power thousands of generations. It's a practical answer to a persistent energy puzzle, and it feels refreshingly grounded. We're watching this space closely, and if you're building your own ambitious future, you might want to check out our piece on expanding your team with a second Disrupt pass.