Destination

2025-04-09

Mega Models Aren’t the Crux of the Compute Crisis

Every time a new AI model drops—GPT updates, DeepSeek, Gemini—people gawk at the sheer size, the complexity, and increasingly, the compute hunger of these mega-models. The assumption is that these models are defining the resourcing needs of the AI revolution. That assumption is wrong. Yes, large models are compute-hungry. But the biggest strain on AI […]


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venturebeat

2025-10-28

IBM's open source Granite 4.0 Nano AI models are small enough to run locally directly in your browser

In an industry where model size is often seen as a proxy for intelligence, IBM is charting a different course — one that values efficiency over enormity, and accessibility over abstraction.The 114-y [...]

Match Score: 55.74

venturebeat

2025-10-24

Thinking Machines challenges OpenAI's AI scaling strategy: 'First superintelligence will be a superhuman learner'

While the world's leading artificial intelligence companies race to build ever-larger models, betting billions that scale alone will unlock artificial general intelligence, a researcher at one of [...]

Match Score: 46.45

venturebeat

2025-10-10

Together AI's ATLAS adaptive speculator delivers 400% inference speedup by learning from workloads in real-time

Enterprises expanding AI deployments are hitting an invisible performance wall. The culprit? Static speculators that can't keep up with shifting workloads.Speculators are smaller AI models that w [...]

Match Score: 44.50

venturebeat

2025-10-27

Google Cloud takes aim at CoreWeave and AWS with managed Slurm for enterprise-scale AI training

Some enterprises are best served by fine-tuning large models to their needs, but a number of companies plan to build their own models, a project that would require access to GPUs. Google Cloud wants [...]

Match Score: 44.01

venturebeat

2025-10-20

New 'Markovian Thinking' technique unlocks a path to million-token AI reasoning

Researchers at Mila have proposed a new technique that makes large language models (LLMs) vastly more efficient when performing complex reasoning. Called Markovian Thinking, the approach allows LLMs t [...]

Match Score: 40.76

Destination

2025-10-08

New York City is suing Meta, Snap, TikTok and YouTube over 'youth mental health crisis'

New York City, its school district and healthcare system have filed a lawsuit against Meta, Snap TikTok and YouTube for allegedly contributing to a "youth mental health crisis" with intentio [...]

Match Score: 39.45

venturebeat

2025-10-08

Samsung AI researcher's new, open reasoning model TRM outperforms models 10,000X larger — on specific problems

The trend of AI researchers developing new, small open source generative models that outperform far larger, proprietary peers continued this week with yet another staggering advancement.Alexia Jolicoe [...]

Match Score: 37.81

venturebeat

2025-10-04

Beyond Von Neumann: Toward a unified deterministic architecture

A cycle-accurate alternative to speculation — unifying scalar, vector and matrix computeFor more than half a century, computing has relied on the Von Neumann or Harvard model. Nearly every modern ch [...]

Match Score: 35.83

venturebeat

2025-10-02

'Western Qwen': IBM wows with Granite 4 LLM launch and hybrid Mamba/Transformer architecture

IBM today announced the release of Granite 4.0, the newest generation of its homemade family of open source large language models (LLMs) designed to balance high performance with lower memory and cost [...]

Match Score: 34.67