AI Models
Model releases, benchmarks, inference and fine-tuning.
Molmo Proves You Don't Need Proprietary Data to Build a Frontier VLM
Ai2's Molmo vision-language model family breaks the open-source performance ceiling by betting on high-quality human annotation instead of synthetic distillation from closed models.
AI multi-model orchestration: C2C lets models talk through KV caches, not text
How Cache-to-Cache (C2C) moves the handoff between language models from text into key-value caches, the benchmark accuracy and latency gains reported at ICLR 2026, and why it is a research result rather than a production architecture for AI multi-model orchestration.
Indian Enterprises AI Leadership: Context-Aware AI Beyond Frontier Models
Explore how EXL CEO Rohit Kapoor’s framework, robust AI governance, and modern enterprise AI platforms enable organizations to build context-aware AI advantage.
The Face You Grow Into — Names, Perception, and the AI Impact on Human Psychology
A new PNAS study found that adults' faces evolve to match their names, while children's faces do not. I unpack what this self-fulfilling prophecy tells us about social expectations, machine learning, and the AI impact on human psychology.
Cognition - Wikipedia Leaves Out: How Human Dendrites Compute Like Deep Neural Networks
New PNAS research reveals that a single human cortical neuron requires an equivalent of a 10-layer artificial neural network to simulate — offering a cellular perspective on human cognitive advantage and AI comparison.
Beyond the Benchmark: Why SWE-bench Verified's Simple Bug Focus Misses Real-World Complexity
SWE-bench Verified is the most credible public test we have for AI coding agents. Epoch AI's teardown shows why a high score there still tells you almost nothing about messy, real software work.
Four Ways to Run the ichrak550 Llama Model: Transformers, vLLM, SGLang, and Docker
A practical walkthrough of every integration path available for the ichrak550/llama-model on Hugging Face — from a two-line Python pipeline to notebooks, Docker-served inference endpoints, and the state of hosted provider support.
Decoding the Mind: Understanding the AI Impact on Human Psychology
An exploration of how artificial intelligence intersects with brain activity data and neuroscience, examining how machine learning models decode neural patterns, impact human psychology, and advance mental health research.
Storm in a Small Model: What Llama 3.1 Storm 8B Changes
A sourced look at the Storm fine-tune's self-curation, Spectrum fine-tuning and SLERP model-merging recipe, its reported benchmark gains over Llama-3.1-8B-Instruct and Hermes-3, downloadable variants, and the caveats around interpreting its results.
AI Developer Tools Startups India Investments and Model Compression: Why Quantune's 2022 Breakthrough Still Shapes 2026
A deep look at Quantune, the gradient tree boosting auto-tuner that slashed quantization search time by 36.5x, and why its ideas anchor the AI developer tools ecosystem through 2025 and 2026.
Cohere's Command A+ and the Sovereign-AI Math for AI Cloud Infrastructure Companies in India
Cohere’s Command A+ combines a sparse 218B-parameter MoE with W4A4 quantization. Explore deployment trade-offs and what the release means for teams scaling AI infrastructure in India.
The Return of Black Hat SEO: How AI Poisoning Threatens Brand Trust
Anthropic, the UK AI Security Institute, and the Alan Turing Institute found attackers can flip LLM outputs with just 250 planted documents. Here is what that means for your brand and what you can actually do about it.