1. SoftBank Announces Up to €75 Billion Investment for French Data Centers
SoftBank Group announced it will invest up to €75 billion in France to develop and operate up to 5 gigawatts of additional data center capacity. This massive investment reflects the accelerating global AI infrastructure race, as tech giants ramp up data center deployments to meet surging compute demand.
AI Pulse View: The €75 billion investment underscores the white-hot competition in AI infrastructure. With explosive growth in large model training and inference needs, data centers have become the focal point of global tech investment. France is positioning itself as Europe’s AI infrastructure hub.
Source: TechCrunch, May 30, 2026
2. GitHub Copilot’s Token-Based Billing Sparks Developer Backlash
GitHub Copilot has introduced a new token-based billing model, triggering strong backlash from the developer community. Many developers say this pricing significantly increases costs, signaling that the “golden age” of GitHub Copilot may be coming to an end.
AI Pulse View: Token-based billing fundamentally changes the economics of AI coding assistants. Developers will need to reassess the cost-benefit of AI coding tools, which could drive more attention to open-source alternatives like Cline and Cursor.
Source: TechCrunch, May 30, 2026
3. Meta Reportedly Developing an AI Pendant Wearable
According to TechCrunch, Meta is developing an AI pendant-form wearable device. This move suggests Meta is betting big on AI hardware, seeking new interaction paradigms beyond smartphones and VR headsets.
AI Pulse View: An AI pendant represents a new direction for wearables — embedding AI capabilities into everyday accessories rather than adding more screens. If successful, this could become the next generation of AI hardware after smartwatches.
Source: TechCrunch, May 30, 2026
4. Google Gemini Spark AI Assistant Review: Actually Pretty Useful
TechCrunch put Google’s 24/7 AI assistant Gemini Spark to the test and found it performs well in automating everyday tasks like email summaries and local event planning. However, the report also questions why Google launched it as a separate product rather than integrating it into existing ecosystems.
AI Pulse View: Gemini Spark’s utility validates the value of AI assistants in daily life scenarios. However, launching it as a standalone product rather than integrating it into existing ecosystems reflects Google’s ongoing exploration of the best AI product strategy.
Source: TechCrunch, May 30, 2026
5. Three Top VCs Reveal Their Real Thoughts on the AI Frenzy
TechCrunch interviewed three top venture capitalists who shared their candid views on the current AI investment boom. One VC half-joked: “If you’re 22 in San Francisco building something in AI, there may be a seed term sheet in your inbox — but if you’re 19, oh my God, you might already have a Series A.”
AI Pulse View: The candid conversation from top VCs reveals the bubble and groupthink present in AI investing. Founders need to be cautious about market overheating and focus on solving real needs rather than chasing investment trends.
Source: TechCrunch, May 30, 2026
6. TikTok’s Road to Becoming a Super App
TikTok is working to become the app that people use for most of their digital activities. Starting from short-form video content, TikTok is gradually expanding its functional boundaries, moving toward a WeChat-style ecosystem model.
AI Pulse View: TikTok’s transformation into a super app reflects the trend of content platforms evolving into comprehensive service platforms. AI recommendation algorithms are the core driver of this strategy, reshaping how users access information and services.
Source: TechCrunch, May 30, 2026
7. Trajectory Releases Concurrent Multi-LoRA Training Stack, 2.81× Throughput Gain
Trajectory has open-sourced a concurrent multi-LoRA reinforcement learning training stack for continual learning, reporting a 2.81× experiment throughput gain over single-tenant RL training.
AI Pulse View: The open-sourcing of multi-LoRA concurrent training technology will lower the barrier for AI model fine-tuning, enabling more teams to efficiently perform continuous model learning and iteration. This is significant for democratizing AI technology.
Source: MarkTechPost, May 30, 2026
8. Genesis AI Releases Genesis World 1.0 Robotics Foundation Model Evaluation Platform
Genesis AI has launched Genesis World 1.0, featuring the Nyx renderer, Quadrants compiler, and unified physics engine for scalable evaluation of robotics foundation models.
AI Pulse View: The emergence of a robotics foundation model evaluation platform marks embodied AI’s transition from lab experiments to standardized testing. A unified evaluation framework will accelerate the comparison and iteration of robotics AI models.
Source: MarkTechPost, May 30, 2026
Other Updates
- Groq reportedly raising $650M in internal funding, pivoting from hardware to focus on AI inference optimization (TechCrunch, May 29)
- XCena secures $135M at $570M valuation, betting that AI’s real bottleneck is memory, not compute (TechCrunch, May 29)
- Cognition founder Scott Wu says AI coding agents shouldn’t replace human programmers (TechCrunch, May 29)