AI Articles

OpenAI expands its GPT‑6 lineup with two lower-cost models that claim near-Astra performance in coding, accuracy, and business tasks.

In 1966, the chatbot ELIZA could do little more than rephrase a user’s statements as questions. Sixty years later, large language models can plan, write code, and use tools on their own. Here, we will walk through the history of LLMs across 8 eras, and what each breakthrough actually changed.

See what's new in Claude Opus 5.5, the first model in Anthropic's 5.5 lineup: lower costs, quicker output, and record safety scores.

OpenAI and xAI both shipped new flagship models this September. Here's how the two actually stack up on coding, price, safety, and more.

xAI's Grok, a new coding and knowledge-work model, runs at $2/$6 per million tokens and tops frontier rivals on some benchmarks. Here's what's new, how it compares to the competition, and how it upgrades on its predecessor.

Jev decides in milliseconds and cannot write a word; GPT-6 Astra finishes whole tasks unattended. Here is which pipeline steps belong to each model, and what they cost.

SpaceXAI's new speech-to-text model ranks first for streaming accuracy on the public leaderboard at an unchanged hourly price. We cover what changed from 1.0, the benchmarks, pricing, and how to call it.

PrismML's Bonsai 2 27B compresses a 27B multimodal model to 5.9GB while keeping 98.2% of full-precision benchmark performance, and it runs on a laptop.

Alibaba's Qwen3.8-Omni-Flash handles text, image, audio, and video with a 1M-token context window, beating Gemini 3.8 Flash on audio benchmarks.

DeepSeek's open-weight V4.1 Flash matches Gemini 3.8 Flash on agentic coding benchmarks at a third of the price. We compare specs, costs, and a hands-on build test.

Google's new speech-to-speech models split voice agents into a cheap default and a background-reasoning variant. Here's what changed, what it costs, and which to pick.

TypeSafe's Jev is a new class of AI model, a System One Model, that returns typed decisions with calibrated probabilities instead of text, running 40-200x faster than frontier LLMs.