Tag: In context learning

Aktualności1 października 2026

GPT-6 Astra drove a real car. The only model of four to finish

DrivingBench, an independent project, gave four frontier language models control of a real Toyota Corolla. Only GPT-6 Astra finished the parking-lot cone course: 134.7 metres in 5 minutes and 22 seconds, on its second attempt.

Aktualności29 września 2026

GPT-6 Astra Drives a Robot Arm — but Only on the Easy Task

GPT-6 Astra finished 19 of 20 block-moving runs against 8 for Claude Fable 5.1, using six times fewer tokens. On the precision task both score 2/20, and RoboDojo halted testing after equipment damage.

Aktualności3 września 2026

Skild AI Unveils S1: A Robot Learns a Task From One Video

Skild AI has released S1, a robot foundation model that picks up a new task from a single video, with no post-training. It hits 66% success on unseen tasks versus 9% for language-prompted policies.

Aktualności26 sierpnia 2026

GEN-1.5: a robot learns a new task from one demo

Generalist AI unveiled GEN-1.5 — a robot foundation model that learns a new task from a single 3–12 s demo, with no fine-tuning. One-shot yields 59% average success, few-shot reaches 83%.

Aktualności13 lipca 2026

Google TabFM: a tabular AI model that predicts without per-dataset training

Google Research introduced TabFM, a foundation model for tabular data that generates predictions for unseen datasets in a single forward pass with no retraining. On TabArena spanning 51 datasets, TabFM matches or outperforms heavily tuned supervised baselines in zero-shot mode.