TLDRocket
Sign in
Latest Nirva raises $33M for a pendant that only listens to you — TechCrunch DeepSeek reportedly raises $15B days after US restrictions — TechCrunch Ai2 releases OlmoEarth v1.3 state-of-the-art AI-ready satellite embedd... — SiliconANGLE Startup Action State launches tools for verifying interactions between... — SiliconANGLE Indurex raises €7M to strengthen cybersecurity across critical infrast... — Tech.eu PreScalar raises $7M from Dynamo and BMW i Ventures to tackle factory... — Tech Funding News Nvidia-backed Fireworks AI eyes $30B to $40B valuation, roughly double... — Tech Funding News Anglo-Finnish Oxford University quantum spinout QuantrolOx raises €12M — Tech.eu

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

Monday, 15 December 2025

Gemini-backed Paper Assistant Tool provides automated feedback for theoretical computer scientists at STOC 2026

Google Research 10 months ago 49

Google created Paper Assistant Tool, a specialized AI system based on Gemini 2.5 Deep Think, to provide automated feedback on theoretical computer science papers submitted to STOC 2026 before human review. The tool successfully identified errors ranging from variable inconsistencies to logical gaps in proofs, with 97% of respondents finding the feedback helpful and 81% reporting improved paper clarity. The pilot demonstrates AI's potential to augment rather than replace peer review, with 88% of participants expressing interest in continued access to such tools throughout their research process.

Read the full story
Gemini Advanced Reasoning

Announcing native availability of NVIDIA Nemotron 3 Nano, NVIDIA’s latest reasoning model

Together AI 10 months ago 34

NVIDIA released Nemotron 3 Nano, a reasoning model with a hybrid Mamba-Transformer architecture that activates approximately 3 billion parameters per token out of 30 billion total, now available on Together AI. The model includes 1 million token context length, open weights, and open training data optimized for agentic systems and multi-agent applications. The availability enables developers to build cost-efficient reasoning agents and multi-step planning systems with faster inference speeds compared to larger models.

Read the full story
Agentic AI NVIDIA

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.