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THE DAILY INDEX

Technology, AI, software, security, crypto and business

HEADLINES & LAUNCHES

TLDR AI

MAKING CLAUDE A CHEMIST

Anthropic's AI model Claude performs well in predicting NMR spectra, matching and sometimes surpassing traditional tools like ChemDraw and MestReNova. Opus 4.7, a Claude variant, accurately predicted hydrogen and carbon shifts on average and demonstrated consistency in replicating results. The AI also proposes chemical structures from spectral data, showing promise in reverse engineering molecular structures, a task typically requiring more complex tools.

ANTHROPIC/OPENAI MAY BE SPENDING MORE THAN $1,000 FOR EVERY $100 YOU PAY THEM

LLM-assisted coding isn't likely to be affordable anytime soon. While it can enable developers to create things they never would have otherwise been able to before, it isn't economically viable for most use cases. It is only viable now because subscriptions are heavily subsidized. Serious use cases that require loops and 'thinking' using APIs have become very expensive. Developers need to prepare for costs to continue rising and build more resilient systems.

WHAT REMAINS SCARCE AFTER AGI?

This post contains a transcript of an interview with Alex Imas, Director of AGI Economics at Google DeepMind, and Philip Trammell, an economics postdoc at Stanford University's Digital Economy Lab, where they answer important questions about how AI is dealt with that only economics can answer. They discuss the optimal way to tax and distribute the wealth that AI will generate, how countries not in the AI supply chain will gain, and whether there's a chance of a future where inequality doesn't explode. Links to the podcast and video of the interview are available.

TRY THE NEW CONSOLE EXPERIENCE IN AMAZON BEDROCK, OPTIMIZED FOR ANTHROPIC- AND OPENAI-COMPATIBLE APIS

Amazon Bedrock has introduced a new console optimized for Anthropic and OpenAI-compatible APIs, facilitating easier model selection and deployment. It features a comprehensive model catalog, project-based workflows, and live documentation with automatic code snippets. Available in multiple AWS Regions, the console simplifies the transition from AI model evaluation to production.

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