92 related articles

After Apple failed to deliver on its new Siri promise for two years running, many ask: has Apple lost the AI race? We break down two AI tracks—software models vs. on-device hardware.

GPT-5.6 (Sol, Terra, Luna) hands-on testing: a Hokkaido farmer controls a greenhouse with AI, a NYC small business builds custom software, and a Polish mathematician breaks a 3-year problem. A deep dive into end-to-end autonomous execution.

AI dream interpretation and personality analysis are trending on social media, but can AI really understand you? This article unpacks the technical limits and hidden risks—from the Barnum Effect to LLMs.

OpenAI launches the GPT-5.6 model family with cybersecurity as its biggest highlight. A deep analysis of GPT-5.6's differentiation, double-edged-sword effect, and enterprise strategy.

Tencent Hunyuan HY3 official version is open-sourced under Apache 2.0, priced as low as 1 yuan per million input tokens, with major gains in agents, reasoning, coding, and long context. On the same day, Meituan open-sourced its trillion-parameter LongCat 2.0.

OpenAI releases GPT-5.6 preview with three models: flagship Soul, balanced Tara, and lightweight Luna. Based on real KingBench 3 testing, this article breaks down each model's performance on math, front-end, and agentic tasks, and compares them with Anthropic Fable.

A political news story about British satirical candidate 'Count Binface' sparked debate in the tech community: why does AI struggle to understand sarcasm, contrast humor, and cultural context? An in-depth analysis of LLM limitations.

AMD officially unveils the Ryzen AI Halo local AI dev kit, priced around $4,000 with 128GB unified memory, capable of running 70B LLMs locally. An in-depth look at its specs, pricing, and market competition.

Ornith 35B vs Qwen 3.6 35B on 16GB VRAM: 24+ hours of benchmarks covering inference speed, 256K context, tool calling, HumanEval, and real coding challenges.

The Palantir procurement controversy reveals hidden risks in government AI strategy: opaque contracts, vendor lock-in, and oversight gaps. A deep analysis of AI public governance challenges.

Fable 5, an AI storytelling platform, opens to all paid users and sparks debate on Hacker News. We analyze AI creation tools' practicalization trend across product positioning, competition, and access strategy.

An in-depth analysis of the EU's Chat Control legislative proposals: from 1.0 voluntary scanning to 2.0 mandatory detection orders, revealing the threat of client-side scanning to end-to-end encryption and the privacy vs. child protection debate.

Google UK's Economic Impact Report argues AI could be the key to breaking the UK's productivity puzzle, focusing on skills access, SME enablement, and public-private collaboration.

OpenAI released GPT-5.6 with three variants—Soul, Terra, Luna—and for the first time notified and submitted the model to U.S. government review before full release. A deep dive into the variants, Max/Ultra upgrades, and cybersecurity defenses.

Ideogram 4 open-source image model tested: runs locally on 8GB VRAM + 32GB RAM, Midjourney-level aesthetics, stable text rendering. Learn the 3-part prompt structure and automated ComfyUI workflow with Qwen3 VL.

Struggling with Windows pop-ups and rogue software? This in-depth review of Wukong Security reveals how AI antivirus breaks past traditional virus-database limits, blocking ads and bundleware in real time, plus a comparison of five repair shops.

How Agentic AI achieves SOTA performance in interstitial lung disease (ILD) genomic interpretation through autonomous planning, multi-step reasoning, and tool calling—and its clinical impact.

TechCrunch Startup Battlefield Australia applications close July 6. Seize this premier startup competition for global investor exposure, capital connections, and brand endorsement.

TechCrunch Startup Battlefield Australia applications close July 6. Seize this top-tier competition opportunity for global investor exposure, capital connections, and brand endorsement.

Thomson Reuters CEO Steve Hasker shares his personal AI routine: analyzing documents, managing his calendar, and gaining insights every Monday. A look at how leaders drive real enterprise AI transformation through practice and continuous learning.