Lisbon, Portugal In person
Web Summit 2026
AI, startups, technology, policy
The major AI conferences ahead — dates, locations and formats, each with a hub collecting our coverage and the announcements made there.
Lisbon, Portugal In person
AI, startups, technology, policy
San Diego, United States In person
machine learning, neural networks, research
Cannes, France In person
applied AI, business, policy, society
New York, United States In person
LLM engineering, agents, applied AI
San Jose, United States Hybrid
GPUs, accelerated computing, robotics, foundation models
In person
representation learning, deep learning, research
Mountain View, United States Hybrid
Gemini, Android, developer platforms, consumer AI
Seattle, United States Hybrid
Copilot, Azure AI, developer tools
United States In person
computer vision, pattern recognition, research
In person
machine learning, research
The daily briefing
TLDRocket reads 60+ sources, removes duplicate coverage, and summarises the day in two minutes. Free, no spam, unsubscribe anytime.
Alibaba's release of Qwen3.8-Max, a 2.4-trillion-parameter mixture-of-experts model, crystallises a shift in how the world's AI labs measure progress. With a $2-per-million-token price tag and a 1-million-token context window, the model targets multimodal and agentic tasks—the kind of real-world problem-solving that benchmarks often miss. But the real story is the fragmentation of AI's competitive landscape. Qwen3.8-Max arrives as Europe begins enforcing its AI Act, adding compliance costs that reshape market dynamics, while Index Ventures' $2 billion fundraise signals where the money flows: not just foundation models, but the narrower, defensible applications built atop them.
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