175 related articles

OpenAI's GPT-Live full-duplex voice model enables natural simultaneous conversation with a reasoning delegation architecture pairing real-time dialogue with GPT-5.5 deep reasoning. Now live for 150M users.

Demystify large language models using middle-school math: LLMs are complex functions, training solves for parameters, and inference predicts next-token probabilities.

GPT-Live breaks the "turn-based" limit with millisecond real-time voice interaction. Explore the tech behind simultaneous listen-and-speak, multilingual interpretation demos, and AI voice's shift from tool to conversational partner.

PrismML's Bonsai compresses a 27B model from 54GB to 3.9GB, running at ~11 tokens/sec on iPhone. A deep dive into QAT, knowledge distillation, and speculative decoding.

DeepSeek and Peking University open-source DSpark, an inference acceleration technology using semi-autoregressive architecture and dynamic scheduling to boost LLM speed by 50%+ and double GPU concurrency without quality loss.

OpenAI is reportedly in internal discussions about major API token price cuts targeting Anthropic's user base. We analyze the market logic, developer impact, and where AI infrastructure competition is headed.

Meituan open-sources LongCat 2.0, a 1.6T-parameter MoE model trained on 50,000+ custom chips without NVIDIA GPUs or Google TPUs, rivaling OpenAI and Google.

DeepSeek open-sources DSpark, delivering 50%–400% LLM inference speedup with no retraining or quantization, via semi-autoregressive drafting and confidence-scheduled verification.

Deep dive into Perplexity AI: real-time web search + multi-model AI, transparent citations, Focus Modes, PDF chat, and collaborative Collections. Can it replace Google and ChatGPT?

One used RTX 3090, one 16.8GB GGUF file, and Qwen3.6 27B runs locally offline. SWE-bench score of 77 rivals Claude Sonnet. MTP boosts speed to 59 tok/s. Full local AI coding assistant deployment guide.

Semantic caching uses vector embeddings to match similar queries and avoid redundant LLM calls, cutting AI app costs by up to 50%. Learn how it works, how to set thresholds, and when to use it.

This article synthesizes two MSR India Summit talks, exploring two key paths to better AI reasoning: test-time scaling with variable granularity search, and a formal verification framework for trustworthy agent execution.

A deep dive into Distributed AI Systems: a new book distilling 10 years of AI engineering experience covering distributed training, inference optimization, and production model serving.

A power-user developer tests Grok 4.5: blazing-fast responses, high accuracy, and great value. A deep dive into Grok 4.5's real-world AI coding performance in Cursor.

In one week, OpenAI, xAI, Google, and Microsoft all cut AI prices, driving near-frontier inference costs sharply lower. Meanwhile, Microsoft Copilot's paid conversion across 450M seats is under 4.5%, exposing the monetization challenge of general AI assistants.

Just 12 days after a rival launch, OpenAI released GPT-5.6, scoring 91.9% on Terminal-Bench 2.1 to surpass competitors. Ultra mode supports multi-agent collaboration, inference hits 750 tokens/sec.

Unsloth releases NVFP4 quantization for Qwen3.6 using W4A4 true 4-bit Tensor Core computation, delivering up to 2.5x inference speedup over NVIDIA's official implementation with accuracy matching or exceeding BF16 on benchmarks like MMLU-Pro.

OpenAI unveils the GPT-Live voice model family, with full-duplex interaction enabling AI to listen and speak simultaneously and delegate complex reasoning to GPT-5.5. GPQA benchmark jumps from 45% to 80%.

GPT-5.6 is officially released with core upgrades including programmatic tool calling, autonomous subagent delegation, and higher token information density. A hands-on card game build reveals its Agentic power.
Local Coding Agents in Practice: A Com…
An in-depth look at local coding agents—core concepts, advantages, and real challenges. Compare against Claude Code and learn to build a zero-subscription, private AI coding workflow with open-weight models.