TLDRocket
Sign in
Latest 9 insights from ‘Private Tech Trailblazers’: Vertical AI becomes the g... — SiliconANGLE OpenAI safety employee resigns, claiming the company’s ‘culture is bro... — TechCrunch Aleph Alpha’s Sovereign A.I. Model Kolibri Is No Match for the Open-We... — Trending Topics AI is speeding up exploits. Vulnerability spreadsheets can’t keep up. — The New Stack All the AI agents that can live in your text messages — TechCrunch A.I. Boom Is ‘the Only Reason We’re Not in a Recession’ — Trending Topics 🔮 Quick weekend reads: the big AI questions — Exponential View Capcom is preparing for a ‘future where we create games together with... — The Verge

The AI intelligence platform

Every AI story that matters — and the intelligence behind it.

TLDRocket reads all relevant sources, removes duplicate coverage, and publishes a short neutral summary of every story, linking back to the original. Free, no spam, unsubscribe anytime.

Add to Slack

Every story also updates live profiles event timelines weekly rankings the AI Market Index

Tuesday, 11 March 2025

Open R1: Update #3

Hugging Face 1 year ago 45

Researchers released CodeForces-CoTs, a dataset of nearly 100,000 chain-of-thought samples distilled from DeepSeek-R1 for competitive programming in C++ and Python, along with OlympicCoder models fine-tuned on this data. OlympicCoder-32B outperformed Claude 3.7 Sonnet and achieved higher scores than o1-mini and DeepSeek-R1 on the IOI 2024 benchmark, despite being 7 billion to 32 billion parameters. The release enables open-source development of code reasoning models and provides a new fully-verifiable benchmark from International Olympiad in Informatics problems, addressing limitations in existing competitive programming datasets that only include partial test cases.

Read the full story

LeRobot goes to driving school: World’s largest open-source self-driving dataset

Hugging Face 1 year ago 55

Hugging Face and Yaak released L2D, an open-source self-driving dataset containing 90+ terabytes of multimodal driving data collected from 60 vehicles in 30 German cities over three years. The dataset comprises 1 million episodes spanning 5,000+ hours of driving, captured with six RGB cameras, GPS, IMU, and vehicle control signals (steering, gas, brake). The data includes both expert driving instructor policies and suboptimal student driver policies with natural language instructions, enabling training of end-to-end autonomous driving models through imitation learning.

Read the full story
Autonomous Vehicles

The daily briefing

Every AI story that matters, in your inbox by 8am.

TLDRocket reads all relevant sources, removes duplicate coverage, and summarises the day in two minutes. Follow companies and topics for alerts, or get the briefing in Slack. Free, no spam, unsubscribe anytime.