# Jan 23, 2026

## ML Times

### Daily

### Weekly

- **Qwen3-TTS family is now open sourced**: Voice design, clone, and generation  
 
  - **Qwen** operates across multiple domains, including **qwen.ai** and **chat.qwenlm.ai**, indicating a robust infrastructure for AI-driven applications and services. [Link to article](https://qwen.ai/blog?id=qwen3tts-0115)

- **GPTZero finds 100 new hallucinations in NeurIPS 2025 accepted papers**  
 
  - **GPTZero's analysis of 4841 NeurIPS 2025 papers revealed at least 100 confirmed hallucinations**, highlighting a significant oversight in the peer review process that failed to catch these errors despite rigorous evaluations by multiple reviewers.

- **100 Hallucinated Citations Found in 51 Accepted Papers at NeurIPS 2025**  
 
  - **100 hallucinated citations** were identified in **51 accepted papers** at NeurIPS 2025, raising concerns about the integrity of peer-reviewed research.

- **Show HN: Text-to-video model from scratch (2 brothers, 2 years, 2B params)**  
 
  - **Linum v2** is a **2B text-to-video model** that enhances video generation capabilities, allowing for more dynamic and engaging content creation.

- **Keeping 20k GPUs healthy**  
 
  - **Modal operates a robust GPU worker pool exceeding 20,000 GPUs**, employing a comprehensive reliability system that includes instance type testing, machine image preparation, and both passive and active health checks to ensure optimal performance across various cloud providers.

- **Floating-Point Printing and Parsing Can Be Simple and Fast**  
 
  - **Fast unrounded scaling** enables efficient floating-point printing and parsing, achieving speeds surpassing existing algorithms like Dragon4 and Grisu3, with a Go implementation expected in Go 1.27 by August 2026.

- **I solved CartPole-v1 using only bitwise ops with Differentiable Logic Synthesis**  
 
  - The author achieved a **perfect score** on CartPole-v1 by distilling the control policy into **four bitwise rules** using **Differentiable Logic Synthesis**, treating the state as a boolean input vector rather than numerical values.

- **LLM-in-Sandbox Elicits General Agentic Intelligence**  
 
  - **LLM-in-Sandbox** enables LLMs to explore a **code sandbox**, demonstrating **generalization** to non-code tasks without additional training, such as accessing external resources and executing scripts for formatting.

- **Launch HN: Constellation Space (YC W26) – AI for satellite mission assurance**  
 
  - **Constellation Space** has developed an **AI system** that predicts satellite link failures **3-5 minutes in advance** with over **90% accuracy**, enabling proactive traffic rerouting to prevent data loss.

- **Waypoint-1: Real-Time Interactive Video Diffusion from Overworld**  
 
  - **Waypoint-1** is a **real-time interactive video diffusion model** that allows users to control and prompt video generation through text and inputs, creating immersive experiences with zero latency.

- **Flying with Photons: Rendering Novel Views of Propagating Light**  
 
  - **Novel imaging technique** captures light propagation with **picosecond-level resolution**, enabling the synthesis of videos from multiple viewpoints, showcasing effects like scattering and reflection.

- **Teacher-Free Self-Distillation: Fixing the Softmax "Infinite Gap" with Euclidean alignment**  
 
  - **Teacher-Free Self-Distillation (TFSD)** addresses the **"Infinite Gap" problem** in Cross-Entropy loss by employing **negative squared Euclidean distance**, which bounds logits and prevents infinite values during optimization.

- **Agentic Uncertainty Quantification**  
 
  - The **Dual-Process Agentic UQ (AUQ)** framework innovatively transforms verbalized uncertainty into **active control signals**, addressing the limitations of traditional uncertainty quantification methods that merely diagnose risks without resolution.

- **Unrolling the Codex agent loop**  
 
  - From **Pilot to Profit**: Survey Reveals the Financial Services Industry Is Doubling Down on AI Investment and Open Source  
  
  - **Financial institutions are significantly increasing AI investments**, with nearly 100% planning to maintain or boost budgets, driven by a clear return on investment from AI applications like fraud detection and risk management.