NanoGPT Slowrun: Language Modeling with Limited Data, Infinite Compute
Compute grows much faster than data. Our current scaling laws require proportional increases in both to scale, but the asymmetry in their growth means intellige...
Compute grows much faster than data. Our current scaling laws require proportional increases in both to scale, but the asymmetry in their growth means intellige...
Constructing computer-aided design (CAD) models is labor-intensive but essential for engineering and manufacturing. Recent advances in Large Language Models (LL...
Federated learning (FL) faces two structural tensions: gradient sharing enables data-reconstruction attacks, while non-IID client distributions degrade aggregat...
We present a winning three-stage system for SemEval 2026 Task~12: Abductive Event Reasoning that combines graph-based retrieval, LLM-driven abductive reasoning ...
Recent work interprets the linear recoverability of geographic and temporal variables from large language model (LLM) hidden states as evidence for world-like i...
Test-time scaling for complex reasoning tasks shows that leveraging inference-time compute, by methods such as independently sampling and aggregating multiple s...
Large Language Models (LLMs) often exhibit highly agreeable and reinforcing conversational styles, also known as AI-sycophancy. Although this behavior is encour...
As large language models (LLMs) transition from research prototypes to real-world systems, customization has emerged as a central bottleneck. While text prompts...
User feedback is crucial for the evolution of mobile apps. However, research suggests that users tend to submit uninformative, vague, or destructive feedback. U...
User feedback is essential for the success of mobile apps, yet what users report and what developers need often diverge. Research shows that users often submit ...
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Introduction It's a reasonable thing to be skeptical about coding with AI. If you've been burned by earlier models, the hesitation makes sense. But the models...
The rapid adoption of Large Language Models (LLMs) has transformed modern software development by enabling automated code generation at scale. While these syste...
Recent developments at Alibaba’s Qwen team I’m behind on writing about Qwen 3.5, a remarkable family of open‑weight models released by Alibaba’s Qwen team over...
Large language model (LLM) coding agents can generate working code, but their solutions often accumulate complexity, duplication, and architectural debt. Human ...
We present VietNormalizer1, an open-source, zero-dependency Python library for Vietnamese text normalization targeting Text-to-Speech (TTS) and Natural Language...
US Defense Secretary Pete Hegseth takes questions during a press conference on US military action in Iran, at the Pentagon in Washington, DC, on March 2 2026. |...
The use of stochastic differential equations in multi-objective optimization has been limited, in practice, by two persistent gaps: incomplete stability analyse...
Performance indicators are essential tools for assessing the convergence behavior of multi-objective optimization algorithms, particularly when the true Pareto ...
Update Overview OpenAI today updated its most popular ChatGPT model, debuting GPT‑5.3 Instant. The new version is designed to provide more accurate answers and...
Code comment classification is a critical task for automated software documentation and analysis. In the context of the NLBSE'26 Tool Competition, we present Lo...
The Current State of AI Data Exports ChatGPT exports your data as a conversations.json file. It is a nested JSON structure containing every conversation as a t...
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The Problem: Context Rot Context rot is the slow, invisible loss of useful knowledge every time you start a new AI conversation. You have explained your tech s...
Overview We have released a new preprint that extends recent results obtained for gluons to the gravitational setting. The work demonstrates that a class of gr...
Software-hardware co-design is essential for optimizing in-memory computing (IMC) hardware accelerators for neural networks. However, most existing optimization...
Large language model (LLM)-powered agents have demonstrated strong capabilities in automating software engineering tasks such as static bug fixing, as evidenced...
I thought once I understood prompts, I’d feel ready to build. I had learned: - What LLMs are - How transformers work at a high level - Why prompts matter - How...
Many engineering challenges come down to the same headache — too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a...
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Executive Summary On Monday, March 2, 2026, the artificial‑intelligence landscape experienced a “tectonic shift” that culminated in a global infrastructure fai...
AI skeptics often argue that current AI systems shouldn’t be so human‑like. The idea – most recently expressed in this opinion piecehttps://thedispatch.com/arti...
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Abstract Autoregressive decoding is bottlenecked by its sequential nature. Speculative decoding has become a standard way to accelerate inference by using a fa...
Leveraging Large Language Models (LLMs) for code generation has increasingly emerged as a common practice in the domain of software engineering. Relevant benchm...
I stopped typing three months ago. Not completely, but for most of my work I just talk. The setup: I speak into my phone, the text appears on my computer wherev...
Gary Marcus is the most prolific AI skeptic on the internet. Since May 2022, he's published 474 posts on Substack making claims about AI's limitations, the comp...
The No Free Lunch (NFL) theorem guarantees equal average performance only under uniform sampling of a function space closed under permutation (c.u.p.). We ask w...
Axios – A Media Company Axios delivers vital, trustworthy news and analysis in the most efficient, illuminating, and share‑able ways possible. It offers a mix...
Education is one of AI’s most promising frontiers. With tools like ChatGPT, personalized learning support can be available to any student, anywhere, at any time...
Background Junyang Lin, a central technical leader on Alibaba’s Qwen team, announced on X that he was “stepping down” from the project — without providing furt...
Let’s talk about that moment when AI output shows up unsolicited in a human interaction. It happens a bit too much for my taste. What should the etiquette be? I...
Let’s talk about that moment when AI output shows up unsolicited in a human interaction. It happens a bit much for my taste. What should the etiquette be? I’ve...
Update Overview OpenAI today updated its most popular ChatGPT model, debuting GPT‑5.3 Instant. The new version is designed to provide more accurate answers and...
We introduce mlx-snn, the first spiking neural network (SNN) library built natively on Apple's MLX framework. As SNN research grows rapidly, all major libraries...
Introduction In the previous article, we completed all three stages of the LSTM: the Forget Gate, Input Gate, and Output Gate. Now, let us use the LSTM with re...
!https://9to5mac.com/wp-content/uploads/sites/6/2026/03/claude-code-voice-mode.webp?w=1600 Voice mode rollout Anthropic has begun a gradual rollout of voice mod...
OpenAI announces GPT‑5.3 Instant Take a breath, stop spiraling. You’re not crazy, you’re just stressed. And honestly, that’s okay. If those words immediately t...