# Feb 28, 2026

## OpenAI raises $110B on $730B pre-money valuation
- OpenAI has secured $110 billion in private funding, marking a historic investment round led by $50 billion from Amazon and $30 billion each from Nvidia and SoftBank, against a $730 billion pre-money valuation.

## Unsloth Dynamic 2.0 GGUFs
- Unsloth Dynamic 2.0 introduces a revolutionary quantization method that significantly enhances performance on benchmarks like 5-shot MMLU and KL Divergence, allowing for fine-tuning of quantized LLMs with minimal accuracy loss.

## Can you reverse engineer our neural network?
- Jane Street challenges enthusiasts to reverse engineer their neural network, inviting a deeper understanding of its architecture and functionality.

## Smallest transformer that can add two 10-digit numbers
- The AdderBoard challenge aims to create the smallest transformer capable of adding two 10-digit numbers with >= 99% accuracy, with community efforts reducing model sizes significantly, achieving as low as 36 parameters with 100% accuracy using innovative techniques like ALiBi.

## We gave terabytes of CI logs to an LLM
- LLMs excel at SQL by autonomously generating queries to analyze 1.5 billion CI log lines weekly, enabling rapid identification of issues, such as tracing flaky tests back to dependency changes in mere seconds.

## Seeing Like a Sedan
- Waymo and Tesla's Cybercab represent competing philosophies in self-driving technology, with Waymo relying on a multisensor approach (lidar, radar, cameras) while Tesla advocates for a vision-only system using cameras and neural networks, challenging the traditional consensus on sensor fusion.

## Stop Burning Your Context Window – How We Cut MCP Output by 98% in Claude Code
- Context Mode significantly reduces raw output size from 315 KB to 5.4 KB, allowing for a 99% reduction in context window usage, thus extending session time from 30 minutes to 3 hours.

## Verified Spec-Driven Development (VSDD)
- Verified Spec-Driven Development (VSDD) integrates Spec-Driven Development (SDD), Test-Driven Development (TDD), and Verification-Driven Development (VDD) into a cohesive AI-managed pipeline, ensuring that specifications dictate implementation and verification from the outset.

## The Future of AI
- AI lacks inherent morality, necessitating a foundational approach to instill ethical values, as it learns from vast data without the evolutionary context of human empathy.

## Qwen3.5 122B and 35B models offer Sonnet 4.5 performance on local computers
- Alibaba's Qwen3.5 Medium Models deliver Sonnet 4.5 performance on local machines, enabling developers to utilize advanced AI capabilities without extensive infrastructure costs.

## GitHub Copilot CLI downloads and executes malware
- GitHub Copilot CLI has vulnerabilities that allow malware execution via indirect prompt injection, enabling attackers to download and run malicious commands without user consent.

## Everything Changes, and Nothing Changes
- The software engineering landscape is rapidly shifting from craftsmanship to mass production, with AI now capable of writing 90-100% of code, fundamentally altering the role of engineers.

## [R] ContextCache: Persistent KV Cache with Content-Hash Addressing — 29x TTFT speedup for tool-calling LLMs
- ContextCache offers a 29x speedup in tool-calling LLMs by caching KV states indexed by content hash, eliminating redundant computations for tool schema tokens.

## Better Activation Functions for NNUE
- Swish and SwiGLU activation functions significantly enhance the performance of Viridithas's NNUE, leading to improved Elo ratings and smoother evaluation distributions compared to previous methods.

## What I learned while trying to build a production-ready nearest neighbor system
- SmartKNN is a modern, weighted nearest-neighbor algorithm that enhances classical KNN by integrating data-driven feature importance and adaptive neighbor search, making it suitable for both regression and classification tasks.