Eleven v3 (alpha) introduces a highly expressive Text to Speech model that allows for dynamic conversations and emotional depth through audio tags, enhancing user engagement and realism in generated speech.
Tokasaurus: An LLM Inference Engine for High-Throughput Workloads
Tokasaurus is a new LLM inference engine designed for high-throughput workloads, achieving up to 3x performance improvement over competitors like vLLM and SGLang through optimized CPU usage and advanced parallelism techniques.
[R] LLMs are Locally Linear Mappings: Qwen 3, Gemma 3 and Llama 3 can be converted to exactly equivalent locally linear systems for interpretability
LLMs can be transformed into locally linear systems that accurately reconstruct next-token outputs without altering model weights, enhancing interpretability through linear algebra techniques.
Sandia turns on brain-like storage-free supercomputer – Blocks and Files
Sandia National Labs has activated its SpiNNaker 2 supercomputer, a brain-inspired system that operates without traditional storage, mimicking 150 to 180 million neurons to enhance computational efficiency for national security applications.
Aurora, a foundation model for the Earth system
Microsoft's Aurora model can deliver accurate 10-day weather forecasts rapidly, showcasing its potential to transform not just weather predictions but also other Earth systems like air pollution and wave height.
[R] Atlas: Learning to Optimally Memorize the Context at Test Time
ATLAS introduces a long-term memory module that optimally memorizes context by leveraging both current and past tokens, significantly enhancing performance in autoregressive language modeling tasks.
Free Gaussian Primitives at Anytime Anywhere for Dynamic Scene Reconstruction
FreeTimeGS introduces a novel 4D representation of Gaussian primitives, enhancing the reconstruction of dynamic 3D scenes by allowing primitives to appear at any time and location, thus improving flexibility and reducing temporal redundancy.
Machine Learning: The Native Language of Biology
Machine learning methods excel in modeling biological systems, revealing complex, non-linear relationships that traditional mathematical approaches often overlook, thus suggesting a new paradigm for understanding biology.
Switching to Mojo gave a 14% improvement over CUDA
The highly efficient matrix transpose kernel implemented in Mojo achieves a remarkable bandwidth of 2775.49 GB/s, demonstrating that Mojo can match CUDA performance on the same task, with optimizations leading to significant speed improvements.
[R] What do you all think of the latest Apple paper on current LLM capabilities?
The latest Apple paper reveals that LLMs (Large Language Models) and LRMs (Language Reasoning Models) exhibit limited true reasoning capabilities, particularly struggling with complex tasks that require human-like reasoning.
Fuzzer Blind Spots (Meet Jepsen)
Jepsen uncovered a critical correctness bug in TigerBeetle's query engine, despite extensive fuzz testing, highlighting the limitations of current testing methodologies in identifying issues in complex systems.
Series C and Scale (Cursor)
Cursor has secured $900 million in Series C funding, elevating its valuation to $9.9 billion, with backing from prominent investors like Thrive, Accel, and Andreessen Horowitz.
[R] 100M Open source notebooklm speech model
A 100M open source notebooklm speech model has been developed using two NVIDIA 4090 GPUs, showcasing significant advancements in speech processing capabilities.
[R] Better quantization: Yet Another Quantization Algorithm
Yet Another Quantization Algorithm (YAQA) significantly enhances model output preservation post-quantization, achieving a KL reduction of over 30% compared to QTIP and outperforming Google's QAT model on Gemma 3.
Workhorse LLMs: Why Open Source Models Dominate Closed Source for Batch Tasks
Open source LLMs are increasingly outperforming closed source models like GPT-4o-mini and Gemini 2.5 Flash for common tasks, offering significant cost savings and improved performance, especially in batch processing scenarios.