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Model Training

280 summarised stories about Model Training, each linking back to the original source. Browse all topics →

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Friday, 25 September 2026

Tesla workers balk at training Optimus humanoid robots as replacements

Ars Technica 3 weeks ago 21 ● 2 sources

Tesla is trying to train its Optimus humanoid robots to replace workers, but complex robot hands and employee resistance are slowing scaling. Tesla stopped making the Model S and Model X at its Fremont factory in May 2026. That shift is intensifying internal pushback while Tesla works through multiple development complications to reach mass production.

Multi-Region training with Amazon SageMaker HyperPod and Qumulo

Amazon Web Services 3 weeks ago 21 ● 2 sources

SageMaker HyperPod was paired with Qumulo Cloud Native Qumulo and Cloud Data Fabric so training compute in one AWS Region can read datasets stored in another Region without replicating the data or changing training code. In a cross-Region test using a 1.02 billion-parameter LLaMA v3 setup with hub data in us-east-2 and a spoke in us-west-2, the spoke reached the hub’s throughput of about 115–117 samples per second after warming despite 60 ms network latency. After the initial NeuralCache warmup, remote-region training converged to single-region performance with sub-5 ms cached data operations and GPU utilization near the co-located baseline.

Perplexity Trains Its Computer Agent on Real Mistakes With Hint-Guided Self-Distillation

MarkTechPost 3 weeks ago 6

Perplexity Research trained a model in its Computer agent using real user sessions that included failures, applying rejection-sampling fine-tuning plus hint-guided self-distillation. In a live A/B test, tool-call failures fell from 2.24% to 1.77% across two trained checkpoints, a reported 21.2% relative reduction. The improved checkpoint runs only as an internal option inside Perplexity Computer and the post-trained weights or training code were not released, so it is not directly deployable elsewhere.

Skild AI trained a humanoid to play soccer via 140 years of simulated self-play—then transferred to a real robot

skild.ai 3 weeks ago 28

Skild AI trained a humanoid-soccer control policy using self-play in simulation and then transferred it to a real robot for a match. The training involved 140 years of simulated play in NVIDIA Isaac Sim. This resulted in a successful simulation-to-humanoid transfer, with Skild extending the same self-play approach to additional real-world robotics tasks.

Runway’s WorldPrompt and the Engineering of Real-Time Worlds

Latent Space 3 weeks ago 26

Runway released GWM Worlds 2, a research preview that streams real-time interactive worlds using an “autoregressive diffusion” approach. It targets 48,000 Hz audio alongside continuous video. WorldPrompt adds a way to specify a generated world and timestamped actions (including real-time prompts), while the model’s real-time generation relies on distillation and still has limits like error accumulation and imperfect long-term memory.

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