AI: post transformers
AI: post transformers

SLDAgent: Evolutionary Discovery of Superhuman AI Scaling Laws

26 January 2026 17:49 mcgrof

Listen to episode

About this episode

The paper, titled "Can Language Models Discover Scaling Laws?" and published on January 22, 2026, represents a collaborative effort by researchers from **Peking University**, **Stanford University**, **Wizard Quant**, and **Tsinghua University**. he authors address the inefficiency of manual scaling law discovery by introducing **SLDAgent**, an evolution-based system designed to automate the search for predictive symbolic formulas. They prove that this agent consistently discovers laws with superior extrapolation accuracy compared to human experts and existing baselines across the newly curated **SLDBench**, a testbed aggregating over 5,000 training experiments. Additionally, the study demonstrates the practical superiority of these autonomously discovered laws in critical tasks such as analytical hyperparameter optimization and pre-trained model selection.


Source:

https://arxiv.org/pdf/2507.21184

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 AI: post transformers. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.