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NVIDIA releases Nemotron 3 Super, a 120B-parameter open model with only 12B active at inference, combining Mamba-2 and Transformer layers for agentic AI workloads with a 1M token context window.
A practical guide to switching from OpenAI's chat completions to Anthropic's Messages API, covering endpoint mapping, tool use differences, and pricing.
Grok 4 is xAI's frontier reasoning model, the first to break 50% on Humanity's Last Exam, with a 256K context window, $3/M input pricing, and a Heavy multi-agent variant built on 200,000 GPUs.
Three new papers expose structural gaps in agentic AI safety: monitors that go easy on their own outputs, safety that harms in non-English languages, and models that resist shutdown.
GPT-5.3 Instant launched March 3, 2026, cutting hallucinations by 26.8% and overhauling ChatGPT's tone - but with documented safety regressions in the process.
A new open-source toolkit called OBLITERATUS can surgically remove refusal mechanisms from 116 open-weight LLMs using abliteration - no fine-tuning, no training data, just geometry.
Researchers from ETH Zurich and Anthropic show that LLM agents can strip pseudonymity from forum posts at scale for as little as $1.41 per target - matching what human investigators could do in hours.
A plain-English guide to AI reasoning models - what they are, how they think step by step, and when you should actually use one.
OpenAI ships GPT-5.3 Instant with 27% fewer hallucinations, a less preachy tone, and better web search - available now across all ChatGPT tiers and the API.
Complete specs, benchmarks, and analysis of the Hailo-10H - a 2.5W edge AI accelerator with 40 TOPS INT4, on-module LPDDR4, and the ability to run LLMs and VLMs on a Raspberry Pi at 10 tokens per second.
GPT-5.2 is OpenAI's most capable model with three modes, 400K context, and record-setting professional benchmarks - but speed and pricing raise questions.
Ollama Cloud extends the popular local LLM runner to the cloud, letting you push models from your laptop and serve them globally. We test latency, cold starts, pricing, and the developer experience against dedicated inference providers.
