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.
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 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-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 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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