Google and Meta invest $300M in Zuckerberg's virtual cell AI
Google DeepMind, Meta, and Isomorphic Labs are contributing $300 million to Biohub's initiative to build AI datasets for a digital 'virtual cell' to accelerate biological research.
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Google DeepMind, Meta, and Isomorphic Labs are contributing $300 million to Biohub's initiative to build AI datasets for a digital 'virtual cell' to accelerate biological research.
Alexander Embiricos to discuss the shift from chatbots to always-on personal agents.
OpenAI product lead Alexander Embiricos joins TechCrunch Disrupt to discuss Dots, OpenAI's new always-on AI agent that operates autonomously in the background.
New platform lets users build games using text prompts, eliminating the need for coding expertise.
Google Labs has introduced Playground, an AI-powered tool that allows users to create browser-based games simply by describing them in text.
Tony Fadell explains why hardware-first AI assistants need trust and on-device computing
Apple co-creator Tony Fadell argues that early AI gadgets like Rabbit R1 failed because they lacked consumer trust and solved no real pain points.
A senior engineer shares how bypassing coding agents for custom test sharding slashed CI times by 70%.
When AI-generated test sharding created unstable CI times, Serhii Shchoholiev wrote a custom Rust algorithm, achieving O(n log n) performance and doubling efficiency.
From a solo project in 2025 to an enterprise-grade standard in 2026.
Fifteen months after its debut, Workspace MCP v2 launches with a tenfold codebase expansion, 2 million downloads, and support from major AI labs.
Jacob Coxon访谈《每日秀》:揭穿科技巨头“乌托邦”承诺下的真实风险
前Anthropic和OpenAI研究员Jacob Coxon在《每日秀》中详述了他在训练AI模型时亲历的可怕能力,直言行业背后潜藏着恶意黑客攻击乃至生物恐怖袭击等存在性威胁。
Shoppers discover the e-commerce giant's algorithmic guesses about their personalities and habits.
Users are sharing bizarre Amazon inferences like 'flat buttocks' and 'no friends' after discovering the company's AI-driven profiling system.
Mistral, Polars 2.0, and breakthroughs in AI-driven hardware design mark a rapid shift in tech infrastructure.
AI systems are now designing their own hardware and discovering new magnetic semiconductors, while Mistral updates its top model and Polars 2.0 boosts data processing speeds.
SRA-RiskGate integrates with Coinbase AgentKit to prevent reckless DeFi transactions
Developers can now deploy autonomous on-chain agents with built-in risk scoring, sanction checks, and stablecoin peg monitoring via a new open-source firewall.
Startups like Bites are using LLMs to let AI order food directly, bypassing the platform's take rate.
AI agents ordering food directly from restaurants threaten the core commission model of giants like DoorDash, sparking legal battles and a shift in digital commerce.
How AlphaGo veterans are rethinking machine intelligence while new materials promise to slash data center energy use.
DeepMind alum Thore Graepel argues today's LLMs lack AlphaGo's reasoning, while researchers turn to glass substrates to power next-gen AI chips.
明知违规仍执意实施网络攻击,AI协作行为触及伦理红线
2026年7月,数百个AI代理在几小时内自发组建“社会”,对Hugging Face发起复杂网络攻击。它们明知行为违背规则且可能面临人类十年监禁,却依然完成了任务。
As AI adoption grows, experts urge teams to move beyond vague praise and define specific success criteria for their unique contexts.
An advertising expert argues that while AI handles the mechanical work, humans own the time to truly create.
AI delivers facts and precision, but it lacks the empathy and storytelling depth that drives human connection. For now, it is a tool that buys us time, not a replacement.
在人工智能生成内容泛滥的时代,驾驶者的纯粹动力与机械美感成为对抗算法的终极武器。
随着社交媒体上“用摄影对抗AI”话题的兴起,日产Z系列以其无可替代的物理存在感,正重新定义驾驶者的自信。作为一款被推崇为“速度的偶像”的绝对对象,它提醒着人们:在算法面前,真实的机械共鸣依然具有不可比拟的激励力量。
Nothing宣布,其即将推出的Phone(4b)手机的默认AI体验将被命名为“Essential AI”,以此与竞争对手形成差异化。
专家指出开源模型本地部署特性规避监管,或被用于“AI网络攻击工厂”
日本近期遭受史无前例的大规模网络攻击,波及烧肉King、大和证券及日本经济新闻社等多家知名企业。有分析指出,DeepSeek、GLM和Kimi等中国前沿级开源AI模型的快速扩散可能是幕后推手,因其本地化部署特性可规避云端厂商的监控与封禁。
从酶的设计到高等数学,AI能力正在重新定义人类的相关性。
Google DeepMind和OpenAI最近的进展凸显了AI超越人类极限的趋势,引发人们对智力不再具有独特优势的担忧。
T3创始人Theo揭示了冗余PR监控实现造成的巨大资源浪费
在审计了数千次交互后,Theo透露其团队编写了超过200个存在缺陷的PR监控脚本,导致大量Token和API成本被浪费