The Daily Index — Friday, February 20, 2026 · TLDR Index

Across today’s newsletters

Today’s Index

TLDR

GOOGLE ANNOUNCES GEMINI 3.1 PRO, SAYS IT'S BETTER AT COMPLEX PROBLEM-SOLVING

Google's new Gemini 3.1 Pro is now rolling out in preview. The model's benchmark results show mostly modest improvements. The updated model is now available in AI Studio and the Antigravity IDE. Enterprise users will see the model in Vertex AI and Gemini Enterprise, and regular users can use it in both the Gemini app and NotebookLM. The API costs for developers have not changed, nor has the context window.

arstechnica.com · 2 min

TLDR AI

GEMINI 3.1 PRO

Google released Gemini 3.1 Pro as the upgraded core model behind recent Gemini 3 “Deep Think” improvements, and began rolling it out to the Gemini API/AI Studio, Vertex AI, Android Studio, the Gemini app, and NotebookLM. The post highlighted a verified 77.1% score on ARC-AGI-2, more than doubling Gemini 3 Pro's result.

blog.google · 5 min

TLDR Dev

I INTERCEPTED 3,177 API CALLS ACROSS 4 AI CODING TOOLS. HERE'S WHAT'S ACTUALLY FILLING YOUR CONTEXT WINDOW.

Four AI coding tools had their context windows and token usage analyzed while fixing a specific bug in Express.js. Despite all tools successfully solving the bug, their token consumption varied a lot, with Gemini Pro using up to 350,000 tokens compared to Claude Opus's 23,000. Each tool used a distinct strategy: Opus was surgical but carried high tool definition overhead, Sonnet was methodical, Codex efficiently used Unix-like commands, and Gemini aggressively dumped vast amounts of data into its context.

theredbeard.io · 13 min

TLDR InfoSec

ALMOST IMPOSSIBLE: JAVA DESERIALIZATION THROUGH BROKEN CRYPTO IN OPENTEXT DIRECTORY SERVICES

Searchlight Cyber (Assetnote) discovered an unauthenticated Java deserialization vulnerability in OpenText Directory Services (OTDS) exploitable in its default configuration, stemming from a flawed HMAC signature verification where attacker-controlled length fields allowed truncating the signed message to begin at an injected payload. Exploitation required building a custom Deflate compressor with tailored Huffman codes to produce output restricted to valid modified UTF-8 bytes (0x01-0x7F) while remaining incompressible by zlib, enabling the payload to survive a double-compression pipeline intact. Organizations running OTDS should patch immediately, as a compromise could affect all integrated OpenText applications that rely on it for authentication.

slcyber.io · 12 min

TLDR Crypto

APEX GROUP TO PILOT WLFI STABLECOIN FOR TOKENIZED FUNDS

Apex Group, which oversees $3.5 trillion in assets, announced a partnership with Trump-affiliated World Liberty Financial to pilot the USD1 stablecoin for fund subscriptions, redemptions, and distributions across its tokenized fund ecosystem. The collaboration will also explore making WLFI's tokenized real estate and infrastructure assets available on the London Stock Exchange Group's Digital Market Infrastructure platform, pending regulatory approval. Apex has been expanding its tokenization capabilities through recent acquisitions of Tokeny and Globacap, and is well-positioned to serve institutional clients seeking blockchain-based settlement efficiency and cost reduction.

coindesk.com · 3 min

TLDR

AMAZON DETHRONES WALMART AS WORLD'S BIGGEST COMPANY BY SALES

Amazon is now the biggest global company by revenue. Walmart was previously the leader for more than a decade. Jeff Bezos had carefully studied Walmart's founder, Sam Walton, and embedded many of his business strategies while building Amazon. Amazon's revenue increased at almost 10 times the pace of Walmart's over the past decade. Amazon is the biggest online retailer, attracting 2.7 billion visits to its websites and mobile apps each month, while Walmart is the biggest physical retailer in the world, with more than 10,000 stores and shopping clubs globally.

links.tldrnewsletter.com · 3 min

TLDR

THE FICKLENESS OF SCALING LAWS

Scaling laws have defined tech in the last five years. Large language models have demonstrated consistent returns to scaling. However, these 'laws' apply to very few other fields. Little work has been done to systematically understand, in theory or in general, what causes scaling laws or determines their slope and robustness. This article looks at what causes scaling laws, what their preconditions are, when they stop, why they have worked in some fields but not others, and more.

mackenziemorehead.com · 24 min

TLDR

RESEARCH NOTE: FIVE LESSONS FROM HAVING HELPED RUN AN AI-BIOLOGY RCT

Almost everyone agrees that AI policy should be evidence-based. However, science is often messy and full of caveats, which doesn't fit well with policymakers' demands for clean answers. Many AI benchmarks have saturated and can no longer give a clear 'no' on risks. Experiments show how much we still have to learn. We need to spend less time proving that today's AIs are safe and more time figuring out how to tell if future AIs are dangerous.

metr.org · 6 min

TLDR

BUILDING AN ELITE AI ENGINEERING CULTURE IN 2026

The winning formula in early 2026 is structured context, tiered rigor, smaller teams with higher leverage, and relentless measurement of downstream effects. The teams that adapt AI tools without the underlying taste and discipline are discovering that AI just makes their existing problems bigger. Teams with strong engineering cultures, robust CI/CD, clear architectural standards, and effective review processes see AI compound their advantages. This is widening the gap between elite and average teams.

cjroth.com · 20 min