Musk's Grok 4.5 enters private beta at SpaceX and Tesla with 1.5T parameters, while a research team discovers 4 new superconductors using AI in just 28 GPU hours.
Grok 4.5 Enters Private Beta
On June 28, 2026, Elon Musk announced on X that Grok 4.5 has entered private beta at SpaceX and Tesla. The model is based on the 1.5-trillion-parameter V9 foundation model, with Cursor IDE session data added as supplemental training.
Key technical details:
- Parameter scale: 1.5T, approximately three times the current production Grok v8-small (500B)
- Cursor training data: SpaceX acquired Anysphere (Cursor's parent) for $60B, integrating Cursor coding data into Grok training
- Performance claim: "Close to, perhaps exceeding Opus" — internal evaluation, not third-party benchmarks
Musk also noted that reinforcement learning continues to significantly improve the model, with daily advancements shown in the Grok Build harness.
AI Discovers 4 New Superconductors
More remarkably, a research team used AI models to discover 4 previously unknown superconductors in just 28 GPU hours. This efficiency is equivalent to roughly a century of traditional manual exploration.
The breakthrough's significance:
- Efficiency revolution: From "trial and error" to "predict and verify," AI compresses material discovery time by orders of magnitude
- Extremely low cost: 28 GPU hours costs only a few hundred dollars
- Reproducibility: The methodology can be extended to other materials science domains
ByteDance Seedance 2.5 Coming Soon
ByteDance's Douyin video generation model Seedance 2.5 is expected to launch on July 6 in the experience center, with API access following a week later. The model supports:
- 30-second single-segment video generation
- 50 multimodal素材 joint input
- Higher resolution video generation
Additionally, Shengshu Tech released Vidu S1, a real-time interactive model supporting voice-controlled digital human behavior with unlimited continuous interaction, now in internal testing.
AI Security Alert
Security firm Sysdig documented the first fully AI Agent-autonomous ransomware attack, dubbed JADEPUFFER. The entire attack from vulnerability exploitation to database encryption required no human participation, sounding new alarms for cybersecurity.
This marks the escalation of cyber threats from "AI-assisted attacks" to "AI-autonomous attacks," posing fundamental challenges to traditional defense systems.
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