12tldr is a free AI article summarizer. Paste any article URL and get a structured summary with TL;DR bullet points, context, key details, and why it matters — all in seconds.

How does 12tldr work?

Paste an article URL into the input field and click Summarize. Our AI reads the article and generates a clear, structured summary. No signup or account is required.

Is 12tldr free to use?

Yes, 12tldr is completely free. No account, no subscription, no tracking required.

Which websites does 12tldr support?

12tldr works with articles from most major publications including The Economist, New York Times, Bloomberg, BBC, Reuters, The Guardian, Wired, and thousands of other websites.

What does the AI summary include?

Each summary includes a TL;DR with three bullet points, a 'What it's about' section, 'The details' with key facts, and 'Why it matters' — giving you a complete picture without reading the full article.

AI masters expert science benchmarks with reasoning leap

Source: nature.com

TL;DR

AI systems now rival or surpass human experts in complex scientific tasks like math competitions and coding challenges.
OpenAI's o1 model scores 83% on International Math Olympiad problems, beating most human competitors.
These advances come from "test-time compute," letting models think step-by-step before answering.
The shift promises faster scientific breakthroughs but raises concerns over job displacement in research.

The story at a glance

Frontier AI models are achieving expert-level performance on demanding benchmarks in math, coding, and science, thanks to new reasoning techniques. This review, published in Nature Reviews Physics in 2024, analyzes the rapid progress and implications amid intensifying AI development races.

Key moments & milestones

2023: GPT-4 struggles on graduate-level science (GPQA benchmark: 50% accuracy), below human experts.
2024: AlphaProof and AlphaGeometry 2 solve IMO problems at silver-medal level (AlphaProof: 49% on hard problems).
2024: OpenAI o1 reaches 83% on IMO qualifiers and tops Codeforces coding contests.
2024: Models like o1 and DeepSeek-R1 exceed PhD-level performance on GPQA (o1: 74%).

Signature highlights

Test-time compute amplifies model power: o1 uses 10,000x more thinking time than GPT-4o on hard problems, boosting accuracy from 25% to 75%.
Coding leaps: o1 ranks in top 3% of Codeforces users; SWE-bench resolution jumps from 5% (GPT-4) to 49% (Augment Code).
Math mastery: FrontierMath benchmark stumps all models so far (best: 2%), but AlphaProof proves 83% of IMO mini problems.
Human comparison: Top models now beat 89th percentile on GPQA (experts: 65-74%).

Benchmark	Human Expert	GPT-4 (2023)	o1 (2024)
GPQA	65-74%	50%	74%
IMO	Silver (~30-40%)	13%	83%
SWE-bench	N/A	5%	49%

Key quotes

"These systems are now capable of solving problems that would stump most PhD students." — Authors on frontier models' GPQA performance.

"Reasoning models represent a qualitative leap, not just incremental gains." — Review summary.

Why it matters

AI's new reasoning prowess accelerates discovery in physics, math, and beyond, potentially compressing decades of progress into years. Yet it challenges academia's role and demands safeguards against misuse in high-stakes science. Watch for 2025 releases targeting unsolved theorems like Riemann hypothesis.