Maligned - December 26, 2025

AI news without the BS

Here’s what actually matters in AI today. No fluff, no hype - just 5 developments worth your time.

Today’s Top 5 AI Developments

1. LLMs Just Got Faster: Parallel Token Prediction 🚀

This new framework, Parallel Token Prediction (PTP), allows language models to generate multiple tokens simultaneously within a single transformer call. It’s a game-changer for inference speed, effectively cutting down the latency bottleneck of autoregressive decoding without sacrificing model power. Expect more responsive LLMs and lower operational costs in real-time applications.

Source: arXiv Link: https://arxiv.org/abs/2512.21323v1

2. Boosting Medical AI Reliability: Autonomous Uncertainty 🩺

AI-powered point-of-care diagnostics just got a critical upgrade. Researchers introduced a technique to autonomously quantify uncertainty in neural network predictions for medical sensors, like Lyme disease tests. This dramatically improves diagnostic sensitivity and reliability, reducing the risk of misdiagnosis in critical settings, especially where resources are scarce.

Source: arXiv Link: https://arxiv.org/abs/2512.21335v1

3. High-Res Video Generation Gets a Massive Speed Boost 🎬

Generating stunning high-resolution video just became up to 100x faster with HiStream, a new framework for diffusion models. By intelligently cutting redundancy across spatial, temporal, and timestep dimensions, this innovation makes practical, scalable, high-quality video generation a reality. Forget long render times; future content creation just got a serious shot in the arm.

Source: arXiv Link: https://arxiv.org/abs/2512.21338v1

4. Quantifying AI’s Economic Punch: New Scaling Laws 📈

We finally have empirical data on AI’s economic impact, with new “Scaling Laws for Economic Impacts” showing how LLM training compute boosts professional productivity. A study with over 500 professionals reveals an 8% reduction in task time per year of AI progress, projecting a substantial 20% U.S. productivity gain over the next decade. This isn’t hype; it’s hard data on AI’s real-world value.

Source: arXiv Link: https://arxiv.org/abs/2512.21316v1

5. Your AI Reasoning Benchmarks Are Misleading You 🧠

Hold up on those “AI can’t reason” claims. New research suggests that many abstract reasoning benchmarks, like ARC, are actually testing visual perception more than true reasoning. A two-stage pipeline isolating perception shows about 80% of VLM failures come from visual input errors, not logical shortcomings. Time to rethink how we evaluate AI intelligence.

Source: arXiv Link: https://arxiv.org/abs/2512.21329v1

That’s it for today. Stay aligned. 🎯

Maligned - AI news without the BS