42 articles
Meta has released the Efficient Universal Perception Encoder, a vision backbone for edge devices. The model unifies multiple vision tasks using multi-teacher distillation.
Optimizing the system around an AI model - not the model itself - can deliver measurable performance gains, according to new Stanford research.
Meta is reportedly testing a new family of AI models under the codename "Avocado," including multiple variants focused on efficiency, reasoning, and conversational tasks.
Meta and Yale researchers show reasoning-based judges cut reward hacking in RL alignment pipelines, but challenges remain in non-verifiable training settings.
Meta researchers introduced a structured reasoning method that significantly improves how large language models verify software code without executing it.
Meta researchers introduced a structured reasoning method that forces AI systems to trace code step by step, significantly improving accuracy when verifying software updates without executing the code.
Indian startup Sarvam AI launched its first Edge AI smart glasses capable of working offline, with India's Prime Minister publicly testing the device at Bharat Mandapam.
Tech giants are pouring massive capital into AI infrastructure, with spending projections showing Amazon hitting nearly $200 billion by 2026 as the industry races to build next-generation computing capacity.
Meta Platforms is emerging as a top AI beneficiary thanks to its massive global reach across Facebook, Instagram, and WhatsApp. With over 3.5 billion people using its apps daily, the company's scale is becoming its strongest weapon for rolling out AI products.
Meta AI saw explosive growth in late 2025, with downloads jumping 157% and monthly active users surging 274% from Q3 to Q4. Website traffic nearly doubled as the platform gained traction across mobile and web.
A satirical post claiming Meta created a "Superintelligence Labs" division led by Alexander Wang went viral, sparking conversations about AI replacing corporate executives. The obviously fake announcement highlighted growing anxiety and humor around AI-driven leadership.
Meta secures massive nuclear energy capacity in unprecedented corporate energy deal, enough to power over 16 million American homes annually.
Meta is buying Manus to complete its AI infrastructure puzzle, joining the race among tech giants building end-to-end AI systems that could reshape the industry into a market dominated by just a handful of players.
Meta bought Manus AI to boost its AI agent technology across consumer and business products. The startup, valued near $500M with $100M annual revenue, will keep its subscription service running while its team joins Meta.
Meta Platforms unveils Self-Play SWE-RL research showing AI agents that autonomously learn from real codebases and generate new software independently, potentially surpassing human abilities in complex technical challenges.
Meta AI overtook Claude in daily active users during late 2024, powered by rapid adoption growth. Similarweb data reveals Meta AI ended the year with significantly higher engagement across mobile platforms worldwide.
Google and Meta are ramping up TorchTPU development to break PyTorch's dependency on CUDA, opening doors to non-NVIDIA AI infrastructure alternatives.
Meta has launched SAM Audio, a unified AI model that lets users isolate and edit specific sounds within complex audio mixtures using text, visual, and time-based prompts.
Enterprise AI spending tripled to $37B in 2025, but open-source models are losing ground fast. Meta's Llama, despite leading the open-weight category, couldn't stop its market share from dropping to just 11% as enterprises bet bigger on commercial platforms.
The AI industry is burning through cash at an unprecedented rate, spending nearly seven times what it earns. The massive gap is being plugged with debt, creative lease arrangements, and a web of circular financing deals that tie major players together in ways that could amplify future risks.
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