OpenAI’s CEO Sam Altman publicly stated that an average ChatGPT query uses ≈0.000085 gallons of water (about 0.32 milliliters, roughly one-fifteenth of a teaspoon) and ≈0.34 watt-hours of electricity per query. That per-query figure, when multiplied at scale, becomes meaningful but remains far smaller than many prior alarmist headlines claimed — provided you accept Altman’s […]
Anthropic’s Claude Sonnet 4.5 (often shortened to Sonnet 4.5) arrived as a performance-focused successor in Anthropic’s Claude family. For teams deciding whether to adopt Claude Sonnet 4.5 for chatbots, code assistants, or long-running autonomous agents, cost is a top question — and it’s not just the sticker price per token that matters, but how you […]
Training a state-of-the-art large language model (LLM) like GPT-5 is a massive engineering, logistical, and financial undertaking. Headlines and rumors about how many GPUs were used vary wildly — from a few tens of thousands to several hundreds of thousands — and part of that variance comes from changing hardware generations, efficiency gains in software, […]
Sora 2 is one of the fastest-moving AI products of 2025: a next-generation video + audio generation system from OpenAI that produces short cinematic clips with synchronized audio, multi-shot coherence, improved physics, and a “cameos” system for inserting people into generated scenes. Because Sora 2 is new and evolving rapidly — launched in late September […]
Anthropic’s Claude Sonnet 4.5 arrived as a focused update for coding, agentic workflows, and “computer use” — the kinds of tasks that require long context, tool-handling, and robust safety controls. At the same time, modern developer IDE- and code-assistant platforms like Cursor let you plug in the best available models and run them directly over […]
OpenAI’s Sora 2 has changed how creators think about short-form video: it generates moving, lip-synced, physically realistic clips from text and images, and — crucially — gives developers programmatic access via an API (with a higher-quality “Pro” tier). Below I will bring a guide: what Sora 2 is, the API parameters you must care about, […]
OpenAI’s recent gpt-oss family (notably the gpt-oss-20B and gpt-oss-120B releases) explicitly targets two different classes of deployment: lightweight local inference (consumer/edge) and large-scale data-center inference. That release — and the flurry of community tooling around quantization, low-rank adapters, and sparse/Mixture-of-Experts (MoE) design patterns — makes it worth asking: how much compute do you actually need to run, fine-tune, and serve these models in production?
GPT-OSS is unusually well-engineered for accessibility: the gpt-oss-20B variant is designed to run on a single consumer GPU (~16 GB VRAM) or recent high-end laptops using quantized GGUF builds, while gpt-oss-120B—despite its 117B total parameters—is shipped with MoE/active-parameter tricks and an MXFP4 quantization that lets it run on single H100-class GPUs (≈80 GB) or on […]
xAI announced Imagine Imagine v0.9, a major update to its Grok “Imagine” text-and-image-to-video family that, for the first time in its pipeline, generates synchronized audio inside produced video clips — including background music, spoken dialogue and singing — while improving visual quality, motion and cinematic controls. The model was unveiled by xAI on October 7, […]
GPT-5-Codex is a specialized variant of OpenAI’s GPT-5 family designed for complex software engineering workflows: coding, large-scale refactoring, long multi-step agentic tasks, and extended autonomous runs inside the Codex environment (CLI, IDE extension, and cloud). It is positioned as the default model for OpenAI’s Codex product and is accessible via the Responses API and Codex subscriptions.
Model Type: Code
