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Company Spotlight
NVIDIA
March Into the Cloud With 15 New Games Coming to GeForce NOW
Meta
Llama 3, PyTorch, AR/VR
How our open-source AI model SpeciesNet is helping to promote wildlife conservation
Microsoft
A conversation with Kevin Scott: What’s next in AI
OpenAI
GPT-4, ChatGPT, DALL-E
Anthropic
Claude 3.5, Constitutional AI
Latest Signals
Qwen3.5-9B momentum +1%
Qwen • Qwen3.5-9B
LTX-2.3 momentum +2%
Lightricks • LTX-2.3
Qwen3.5-0.8B momentum +1%
Qwen • Qwen3.5-0.8B
Qwen3.5-4B momentum +1%
Qwen • Qwen3.5-4B
Algorithmic Warfare: How AI Is Accelerating the Iran Conflict
Abacus News • AI News
Meta smart glasses privacy concerns grow
Fox News • AI News
Silicon Valley Meets the Pentagon: Why Hardware Leader Caitlin Kalinowski’s Exit From OpenAI Matters
Abacus News • AI News
EVENT: ‘Ready or not, AI is HERE’
The Independent • AI News
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Funding Radar
View allxAI
$6BSeries C • Foundation Models
Databricks
$10BSeries J • AI Infrastructure
Perplexity
$500MSeries B • AI Applications
Physical Intelligence
$400MSeries A • Robotics
AI Education
Keep sharpening fundamentals with 15 lessons and 126+ terms.
Term of the day: World Model
AI Stock Pulse
Microsoft
Apple
Meta
Amazon
Market data delayed. For informational purposes only.
Latest Research
View allMultimodal Large Language Models as Image Classifiers
Multimodal Large Language Models (MLLM) classification performance depends critically on evaluation protocol and ground truth quality. Studies comparing MLLMs with supervised and vision-language models report conflicting conclusions, and we show these conflicts stem from protocols that either inflat...
arXivOmni-Diffusion: Unified Multimodal Understanding and Generation with Masked Discrete Diffusion
While recent multimodal large language models (MLLMs) have made impressive strides, they predominantly employ a conventional autoregressive architecture as their backbone, leaving significant room to explore effective and efficient alternatives in architectural design. Concurrently, recent studies h...