The Daily Index — Tuesday, July 30, 2024 · TLDR Index

GENERAL

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workos.com

TLDR AI

ANTHROPIC FACES BACKLASH FOR EXCESSIVE WEB SCRAPING

Freelancer.com and iFixit CEOs criticized Anthropic for excessive and unauthorized web scraping by its ClaudeBot, which disrupted their sites. Anthropic claims to respect the robots.txt file and says it will investigate the issue.

links.tldrnewsletter.com · 2 min

TLDR AI

SMALL MOLECULE OPTIMIZATION WITH LARGE LANGUAGE MODELS

Two new language models were able to achieve an 8% improvement on the Practical Molecular Optimization benchmark by collecting a dataset of 100m molecules (40B token equivalent).

arxiv.org · 23 min

TLDR AI

THE LARGER THE BETTER? IMPROVED LLM CODE-GENERATION VIA BUDGET REALLOCATION

Using smaller models multiple times can improve code generation performance with a very similar inference cost.

arxiv.org · 25 min

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SELF-DIRECTED SYNTHETIC DIALOGUES AND REVISIONS TECHNICAL REPORT

300k+ dataset of conversations and critiques to be used for open models. The dataset was mostly created using synthetics and is a powerful example of synthetic data working with open models.

arxiv.org · 26 min

TLDR AI

APPLE FOUNDATION LANGUAGE MODELS

Apple has outlined the basics of its language models for its newly announced “Apple Intelligence” initiative.

machinelearning.apple.com · 8 min

TLDR AI

CHALKBOARDS AND WHAT THEY CAN TEACH US ABOUT GENERATIVE AI

This article reflects on using generative AI as a teaching tool, arguing the technology should be analyzed beyond its technical aspects, with consideration for its alignment with educational values. The author, while open to using AI, is cautious about its impact and emphasizes the need to articulate why certain tools are implemented in the classroom. The discussion draws parallels between traditional tools like chalkboards and AI, considering both for their cultural significance and pedagogical implications.

joshbrake.substack.com · 11 min

TLDR AI

THE EVOLUTION OF SAAS PRICING IN THE AI ERA

The traditional seat-based pricing model in SaaS is becoming obsolete with AI's capability to automate tasks. Companies are increasingly adopting work-based or outcome-based pricing models, which charge based on the amount of work AI performs or the outcomes achieved. While incumbents are still relying on seat-based pricing, startups are leveraging new models for competitive advantage and to reflect AI's value more accurately.

tanayj.com · 7 min

TLDR AI

A NEW BENCHMARK FOR AUTONOMOUS AGENTS

AppWorld Engine is a sophisticated execution environment that features nine daily apps and 457 APIs.

appworld.dev · 2 min

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CRASH COURSE IN DEEP LEARNING (FOR COMPUTER GRAPHICS)

This article covers the construction and use of multi-layer perceptrons (MLPs), a type of fully connected neural network used in deep learning.

gpuopen.com · 6 min

TLDR AI

AIRTABLE'S NEW COBUILDER UNLOCKS INSTANT NO-CODE APP CREATION

Airtable's Cobuilder is the fastest way to build no-code applications.

airtable.com · 3 min