
三分钟私有化部署 Claude Code:安全+降本90%,一步到位!
Hi,早上好,好久不见。 我是洛小山,和你聊聊 AI 应用。 最近沉迷 Claude Code 无法自拔,但Claude 账号不但花钱如流水,还被封了俩。 我用 Qwen 和 Kimi 作为平替,Qwen 的钱花了特别特别多。 最近,朋友他...

Hi,早上好,好久不见。 我是洛小山,和你聊聊 AI 应用。 最近沉迷 Claude Code 无法自拔,但Claude 账号不但花钱如流水,还被封了俩。 我用 Qwen 和 Kimi 作为平替,Qwen 的钱花了特别特别多。 最近,朋友他...

AI智能硬件大爆发,总有一款适合你, 小智AI聊天机器人是一款基于乐鑫ESP32-S3核心板,搭载多种开源AI大模型( DeepSeek、OpenAI 、通义Qwen),通过对话角色自定义、海量知识库、长期记忆、语音声纹识别等功能。它不仅是...

大家好,上一期关于Magic MCP的教程大家反响十分强烈,这一期分享一下我在使用Magic MCP的小技巧。 一、针对上一期《如何在Cursor中使用Magic MCP生成好看的UI》中部分内容的勘误 1、首先,先对上一期文章做个勘误,在...
Today, I have compiled a list of 32 Python web scraping projects for everyone. I’ve gathered these projects because web ...

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作者:小布Bruce ProductHunt是一个帮助人们发现、讨论和点评新产品的社区,每月网站的访问量能达到450万左右,此外Product Hunt在Twitter等社交媒体上有超过百万的关注者,总之,这个社区里面聚集了大量海外的Ear...

文章目录基本条件一、下载HACS源码二、添加HACS集成三、绑定米家设备 上文介绍了如何实现群晖Docker部署HomeAssistant,通过内网穿透在户外控制家庭中枢。本文将介绍如何安装HACS插件商店,将米家,果家设备接入 Hom...

Ant design x AGI设计之路 确认|生成过程 在用户向 AI 表达意图后等待 AI 回复的过程中,需向用户展示 AI 处理请求、生成内容或执行任务的进程与状态。 设计目标 处理过程反馈需要通过流式输出等方式给予用户及时...

图片来源:a16z 这是关于垂直 SaaS 的三部分系列中的第二部分。 第一部分:喝点VC | a16z:垂直SaaS正被AI彻底改造,AI将让SaaS赚取更多收入 在本系列的第一部分中,我们写到了人工智能如何使垂直 SaaS 公司承担以前...

编辑:Sia 这个 AI 科代表,可以领回家了。 听播客,尤其是时长几小时的硬核类节目,是件特别花时间的事情。为了不听也能 get 到内容,今年 3 月,我们利用了大模型( AI 在用 | 有了这个超级提示和Claude 3,不听...
Forget mere nostalgia. 2025 wasn't just another calendar year; it was a seismic inflection point. A blur of rapid-fire innovations, market upheavals, and political machinations, yes. But as WIRED's "Uncanny Valley" podcast recently underscored, dissecting that pivotal year offers far more than a rearview mirror glance: it’s a vital blueprint for understanding the powerful, often volatile, confluence of technology and politics defining our present and future.
From the ethical minefield of generative AI to the baffling, meme-driven ascent of Dogecoin, 2025 delivered a masterclass. Digital frontiers transformed into battlegrounds for policy, power, and public opinion with astonishing speed. What were these defining moments? Crucially, what do they reveal about the tech-political landscape we’re navigating right now, and deep into 2026?
2025 saw AI truly flex its muscles. Not just incremental improvements, but astonishing leaps: think hyper-realistic deepfakes, sophisticated large language models (LLMs) like GPT-5, and automation permeating every sector from healthcare diagnostics to financial trading. With this immense power came intense political scrutiny. Governments, from Washington D.C.'s executive orders to Brussels' nascent AI Act, grappled with a thorny dilemma: how to rein in a technology evolving at warp speed without stifling its transformative potential.
The stakes are colossal. We’re talking algorithmic bias, unprecedented job displacement, national security implications, and a fierce global race for AI dominance. 2025's fragmented regulatory attempts — often reactive, rarely cohesive — merely set the stage. Expect 2026 to escalate this global chess match, dictating precisely where and how AI innovation flourishes, or falters, under the weight of legislative oversight.
WIRED's "Uncanny Valley" podcast wasn't exaggerating about the "crazy couple of months" surrounding Dogecoin in 2025. What began as a whimsical internet joke, born from a Shiba Inu meme, ballooned into a multi-billion-dollar, highly volatile financial instrument. It commanded unprecedented mainstream attention, fueled by celebrity endorsements and retail investor frenzy. This wasn't merely about speculative pumps and dumps; it was a stark, undeniable demonstration. Decentralized finance, driven by raw public sentiment and influential figures, could bypass traditional financial gatekeepers entirely, shaking the foundations of established monetary systems.
The DOGE effect forced regulators worldwide – from the SEC to the ECB – to confront crypto head-on. No longer a niche tech curiosity, it emerged as a genuine political and economic force. Expect 2026 to intensify debates over stablecoin regulation (think MiCA-like frameworks), the strategic role of Central Bank Digital Currencies (CBDCs) in national sovereignty, and a persistent, often contentious, push to corral the 'Wild West' of crypto into a more structured, yet still fiercely debated, regulatory framework.
Our digital lives continue to expand, but so does the tension: individual data privacy versus national security interests. 2025 injected renewed urgency into this debate, fueled by state-sponsored cyberattacks on critical infrastructure, high-profile data breaches exposing millions of citizens’ sensitive health and financial records, and legislative efforts simultaneously aiming to protect personal data (like GDPR updates) and grant governments broader surveillance powers (think new intelligence mandates). Is a true balance achievable, or are we on an inevitable collision course?
The battle for control over our digital footprints is relentless. Expect 2026 to see the emergence of more robust privacy-enhancing technologies (PETs) — zero-knowledge proofs, federated learning — alongside persistent calls for greater government access to encrypted communications. Companies, from tech giants to small startups, will find themselves increasingly trapped in the crossfire, navigating a labyrinthine web of international data transfer regulations, conflicting domestic legal demands, and the escalating expectations of privacy-conscious consumers.
The humble semiconductor chip, once a quiet component, roared into the spotlight as a central player in global politics during 2025. Nations, from the US with its CHIPS Act to the EU’s European Chips Act and China's aggressive self-sufficiency drives, recognized the strategic imperative of these tiny pieces of silicon. Efforts intensified to secure domestic supply chains, reduce reliance on single-point-of-failure producers like TSMC, and decouple from geopolitical rivals. Trade disputes over advanced fabrication equipment escalated. Tech manufacturing unequivocally became an explicit tool of foreign policy, a new form of economic warfare.
This isn't merely economic competition; it’s a high-stakes struggle for national sovereignty and technological independence. The stark lessons of 2025 guarantee that 2026 will bring continued, massive investment in domestic chip fabrication, aggressive diversification of supply sources, and an ongoing, explicit weaponization of technological exports. Prepare for geopolitical fault lines to be increasingly redrawn, not just by borders or ideologies, but by technological prowess and access to foundational silicon.
Disinformation isn't new, but 2025 unveiled its terrifying, AI-amplified evolution. Gone were crude Photoshop jobs. Instead, sophisticated deepfakes – hyper-realistic video, audio, and text – became virtually indistinguishable from reality. AI-generated narratives, often tailored to individual psychological profiles, could be disseminated with unprecedented speed, scale, and persuasive power. The impact was chilling: compromised electoral integrity, eroded public trust in institutions, and fractured societal cohesion. This wasn't just noise; it was a targeted assault on truth itself.
Addressing this existential threat is arguably the most pressing issue for democracies globally. As we hurtle into 2026, the fight against AI-amplified disinformation demands multi-faceted, urgent approaches: next-generation detection tools leveraging AI against itself, far greater platform accountability from social media giants, and a renewed, robust emphasis on critical media literacy for every citizen. The very fabric of informed public discourse, the bedrock of democratic function, hangs precariously in the balance.
WIRED's retrospective on 2025's tech-political trends isn't a mere recap; it's a stark warning. Technology and politics are no longer separate entities. They are inextricably fused, each force influencing, shaping, and often colliding with the other in real-time. From AI's ethical minefields to crypto's regulatory quagmires, the past year provided undeniable indicators of the turbulent landscape ahead.
As we march deeper into 2026, remaining informed and critically engaged with these overlapping narratives isn't just an intellectual pursuit for tech enthusiasts or political junkies. It is an absolute imperative. For citizens, policymakers, and businesses alike, understanding these dynamics will be essential to navigate the direction of our societies, economies, and democratic futures. The future isn't just coming; it's already here, demanding our full attention.
Forget what you thought you knew about chatbots. The long-anticipated moment has arrived: OpenAI has officially launched its GPT Store, complete with an open SDK for developers. This isn't just an incremental update; it's a foundational shift, catapulting ChatGPT from a powerful conversational AI into what CEO Sam Altman envisions as an 'everything app' – a singular hub for AI-powered interactions across countless services.
Wednesday evening, OpenAI unveiled a brand-new App Directory, inviting users to explore a vast universe of custom AI tools. Crucially, they've opened their SDK, empowering developers to construct intricate, interactive experiences directly within ChatGPT's familiar interface. But why does this move fundamentally reshape the AI landscape, and what does it truly signify for the future of software development?
Imagine an app store, but for hyper-specialized AI agents. That's the GPT Store. Instead of downloading standalone applications, users access purpose-built GPTs tailored for specific tasks – from debugging code and crafting marketing copy to orchestrating your next vacation or seamlessly integrating with your favorite music and food delivery services. This launch irrevocably transforms ChatGPT into a true, extensible platform.
The strategic importance of the accompanying SDK cannot be overstated. For developers, it's a golden key. It means direct integration with ChatGPT, leveraging its massive user base and sophisticated language models to forge novel applications. Developers are no longer merely building *on top* of OpenAI's APIs; they're building *within* ChatGPT itself, creating a fluid user experience that blurs the lines between intelligent bot and essential utility.
For the global developer community, the GPT Store and its SDK represent a monumental shift. It's a sprawling, fertile canvas for unprecedented innovation. Developers can now:
For businesses, this unlocks avenues for unprecedented operational efficiency and dynamic customer engagement. Picture a company deploying a custom GPT to autonomously handle specific customer support queries, generate hyper-personalized marketing campaigns, or even streamline complex internal data analysis. The possibilities for specialized, industry-specific AI tools are virtually limitless, promising to embed AI even deeper into daily workflows and strategic decision-making.
Sam Altman's ambitious vision for ChatGPT to evolve into an "everything app" is now tangibly closer. The raw input hinted at direct connections to services like Apple Music and DoorDash – painting a future where your AI assistant doesn't just answer questions, but actively orchestrates and manages your entire digital life.
Is ChatGPT truly poised to become the operating system of our digital interactions? If it can seamlessly integrate with the myriad apps and services we use daily, acting as an intelligent, proactive intermediary, then we are indeed witnessing the genesis of a future where one central AI interface could orchestrate everything: from ordering groceries and managing your calendar to curating your entertainment and booking travel.
This vision portends a profound consolidation of digital experiences, where the friction of switching between multiple applications is dramatically minimized. The implications for user experience, data privacy frameworks, and competitive landscapes are vast and will undoubtedly dominate tech discourse for the foreseeable future.
Naturally, with such transformative power come significant responsibilities and emergent challenges. Issues surrounding rigorous quality control, ensuring the discoverability of truly useful GPTs amidst a burgeoning catalog, and upholding stringent ethical AI practices will be paramount for both OpenAI and the wider developer community. However, this initial launch unequivocally marks a pivotal milestone.
The GPT Store transcends being merely a marketplace for AI tools; it's a definitive statement about the future trajectory of AI integration. It solidifies ChatGPT's position not just as a leading AI model, but as the foundational platform upon which the next generation of AI-powered services will be architected. Prepare yourself; the AI era is accelerating at warp speed, and the 'everything app' might just be closer than you ever imagined.
Hold onto your devices. Brace for higher prices. Micron, a global memory titan, just delivered a stark warning: the global memory shortage isn't merely a temporary glitch. CEO Sanjay Mehrotra, in their latest earnings report, revealed tight industry conditions across DRAM and NAND flash will persist well beyond 2026. This isn't just a headline; it's a multi-year forecast setting the stage for profound shifts across the entire tech ecosystem, from your smartphone to enterprise data centers.
Micron Technology, a titan alongside Samsung and SK Hynix in the 'big three' memory manufacturing landscape, didn't mince words. During their recent earnings call, CEO Sanjay Mehrotra explicitly stated that the supply of both DRAM (Dynamic Random-Access Memory) and NAND flash memory will remain "substantially short of demand" for the foreseeable future. This isn't a quarterly blip; it's a projected multi-year scarcity extending deep into the mid-2020s, with 2027 now firmly in view. Consider the implications: a timeframe stretching far beyond typical semiconductor cycles, signaling a profound, structural imbalance. The world's appetite for digital infrastructure is insatiable, yet the very building blocks are becoming increasingly elusive.
Past semiconductor shortages, like the pandemic-induced snarls, felt temporary. Micron's current outlook, however, points to something far more deeply entrenched. This isn't a traffic jam; it's a fundamental capacity issue. What makes this particular RAM supply crunch so tenacious, threatening to become the new normal?
This isn't just a bottleneck. It's a widening chasm between an insatiable global appetite for memory and an inherently rigid, slow-to-expand manufacturing capability. The market is effectively running on fumes.
A multi-year RAM drought impacts everyone. Are you building a high-end gaming PC? Managing a hyperscale data center? Or simply eyeing that new smartphone? Prepare for repercussions. The most immediate, undeniable consequence will be significantly higher prices for memory components. This cost hike will inevitably cascade, making end products — from the latest iPhone and gaming laptops to mission-critical enterprise servers and graphics cards — substantially more expensive.
Your wallet will feel it. Upgrading that gaming rig or replacing an aging tablet transforms from a routine purchase into a major financial consideration. Beyond price, expect slower innovation cycles. New features, requiring more memory, may be delayed or arrive in more expensive, premium tiers as manufacturers grapple with component scarcity.
Micron's stark forecast isn't just a warning shot; it's a call to action for the entire tech ecosystem. From hyperscale cloud providers to consumer electronics giants, companies must adapt. This isn't a temporary inconvenience; it's a strategic inflection point. Key actions include:
The semiconductor industry has always been cyclical. But a scarcity extending "beyond 2026" demands more than just patience; it requires a fundamental rethinking of design, procurement, and innovation. How will this prolonged memory drought fundamentally reshape our digital world? The answer is unfolding, but a bumpy, transformative journey lies ahead.
Imagine falling in love with a face that doesn't exist. Conversing for weeks, even months, over video calls, building a profound connection – all with a digital phantom. This isn't science fiction. It's the chilling reality enabled by Haotian, a Chinese-language AI app now fueling a terrifying wave of romance scams. Forget doctored photos; Haotian delivers nearly flawless, live AI face-swapping during video chats, making digital deception virtually indistinguishable from genuine human interaction. Millions have already been lost.
Haotian is more than just an app; it's a sophisticated weapon in the hands of scammers. This advanced AI platform, once openly circulated through Telegram channels, offers users the power to seamlessly morph faces in real-time during live video calls. The result? Illusions so perfect they can fool even the most vigilant. It's digital puppetry, designed to exploit trust. What makes Haotian uniquely dangerous isn't just its technical prowess, but its insidious accessibility. It was marketed as a service, allowing criminal enterprises to purchase and integrate this powerful tool into their operations. The numbers scream: this app has facilitated scams totaling millions of dollars, carving out a lucrative, morally bankrupt business model built on the ruins of human emotions.
Romance scams are nothing new. We've all heard the cautionary tales: catfishing, elaborate sob stories, urgent pleas for money. But Haotian's live face-swapping capabilities introduce an entirely new dimension of fraud, a digital quicksand. Previously, a scammer might avoid video calls or use grainy, static images, raising red flags. Now, AI meticulously erases those crucial warning signs. This technology bypasses a fundamental psychological barrier, forging a deeper, utterly convincing sense of intimacy and authenticity. Victims genuinely believe they are interacting with the person whose face they see, making them profoundly susceptible to emotional manipulation and, inevitably, financial extortion. The emotional wreckage, once the truth shatters, is often far more devastating than any monetary loss. Trust shattered. Lives ruined.
There's a glimmer of hope: Haotian's primary distribution channel on Telegram reportedly vanished following an inquiry by WIRED. This proves public scrutiny and tenacious journalism can still make an impact, forcing these illicit operations underground. But it's a temporary reprieve, not a victory. Shutting down one channel doesn't dismantle the underlying technology or the vast criminal networks behind it. These groups are agile, adapting like chameleons, quickly migrating to new platforms or developing even more clandestine distribution methods. It's a relentless game of digital Whac-A-Mole, a stark reminder of the immense challenges facing cybersecurity experts, law enforcement, and platform providers in combating the misuse of rapidly evolving AI.
The rise of tools like Haotian irrevocably alters our digital landscape. We can no longer blindly trust what we see or hear online, especially in video form. This erosion of trust is a profound societal consequence demanding immediate attention. Digital literacy is our last line of defense.
For tech companies and platforms, the ethical imperative is clear. They must invest heavily in developing sophisticated detection methods and implementing ironclad policies against the distribution of tools designed for malicious intent. The story of Haotian is a chilling prophecy: as AI grows more sophisticated, so too must our collective defenses and digital acumen. The future of trust depends on it.
Imagine your utility bill soaring because of AI. That's the looming concern driving Senators Elizabeth Warren (D-MA), Chris Van Hollen (D-MD), and Richard Blumenthal (D-CT) to fire off stern letters to tech titans like Google, Microsoft, Amazon, and Meta. They're not just probing data center developers; they're demanding answers on how the digital age's insatiable hunger for power is impacting Americans' wallets and the very stability of our energy grids. This isn't just about kilowatts; it's about the hidden costs of the AI revolution and its startling sustainability challenge.
The internet thrives on data centers. These aren't just server rooms; they're sprawling, energy-intensive digital factories. Their growth is explosive, especially with the AI boom. Training a single large language model, for instance, can consume as much electricity as hundreds of homes for a year. Powering advanced cloud computing, everyday streaming, and countless AI inferences demands colossal energy. But it's not just the processors. Crucial cooling systems, running 24/7 to prevent catastrophic overheating, add significantly to the load. This isn't a distant future problem. It's a rapidly accelerating present reality, placing immense strain on our energy infrastructure today.
This isn't a theoretical debate. Senators demand concrete answers from tech giants and developers on critical fronts:
This proactive inquiry marks a significant shift. It signals a growing political awareness of technology's immense physical footprint. It moves beyond abstract digital concerns to tangible, economic, and environmental impacts on communities and national resources.
For Google, Microsoft, Amazon, and Meta, this isn't merely a PR headache. It's a seismic challenge to their core growth strategies and operational models. Tech giants will face immense pressure. They must demonstrate not just a commitment to energy efficiency, but verifiable, concrete plans for decarbonizing their vast operations. Expect to see:
For consumers, the repercussions could range from subtle shifts in utility pricing structures to a far more transparent understanding of the true environmental and economic cost of our increasingly digital lives. The ultimate objective? To forge a critical balance between relentless technological innovation and indispensable environmental stewardship.
This Congressional probe serves as a stark reminder: the digital world isn't virtual; it has immense, tangible physical consequences. As AI accelerates its explosive trajectory, ensuring its infrastructure is powered responsibly and sustainably becomes a defining challenge of our generation. This investigation is a crucial, overdue step towards a more transparent and accountable future for the very backbone of our digital economy.
The AI landscape just shifted. Google has officially unleashed Gemini 3 Flash, a groundbreaking update that redefines speed and intelligence in artificial intelligence. This isn't a minor iteration; it's a strategic power play, replacing Gemini 2.5 Flash as the default in the Gemini app. Imagine the cutting-edge reasoning of Gemini 3 Pro, but delivered at lightning speed. This new model promises unparalleled responsiveness, bringing sophisticated AI capabilities to your fingertips, faster than ever before. What does this mean for you? Everything.
At its core, Gemini 3 Flash is a meticulously optimized version of Google's flagship Gemini 3 Pro model. Picture a high-performance supercar: it boasts all the raw power and sophisticated engineering of its track-ready sibling, but it's been precision-tuned for immediate, explosive acceleration and maximum fuel efficiency. The critical innovation here is blazing-fast responses without compromising the complex reasoning capabilities users demand from advanced AI. Historically, AI has presented a frustrating trade-off: deep intelligence often came at the cost of noticeable latency. Intricate models meant longer processing times, creating awkward pauses in real-time interactions. Gemini 3 Flash shatters this paradigm. It’s engineered to process complex prompts and deliver insightful, nuanced answers virtually instantaneously. This isn't merely a technical feat; it's a transformative leap in user experience, making AI feel truly conversational and seamless.
So, how will this newfound efficiency manifest in your daily digital life? Prepare for a fundamental shift:
This relentless pursuit of speed isn't just a luxury; it's critical for AI's mainstream success. Users demand instant gratification. Slow AI, regardless of its intelligence, feels cumbersome. Gemini 3 Flash directly addresses this, making advanced AI indispensable rather than merely impressive.
Gemini 3 Flash isn't solely a win for end-users; it's a monumental leap for developers and businesses leveraging AI. An incredibly efficient, yet profoundly powerful, model unlocks a cascade of new opportunities:
This release emphatically highlights a critical industry paradigm shift: the relentless pursuit of both raw computational power and operational efficiency in AI. As models grow exponentially more capable, the competitive edge now belongs to those who can integrate them most seamlessly, affordably, and performantly into existing workflows and groundbreaking new products.
Gemini 3 Flash is Google's unequivocal declaration: they are leading the charge in practical, high-performance AI. This release underscores a profound understanding that AI's future isn't defined by abstract benchmarks, but by delivering concrete, transformative improvements to daily experiences and empowering developers to architect the next wave of intelligent applications. The AI landscape continues its breakneck evolution. Advancements like Gemini 3 Flash serve as a potent reminder: the true magic unfolds when raw intelligence seamlessly merges with unparalleled efficiency. It's an exhilarating era for interacting with AI, and with these relentless advancements, the experience will only become richer, more intuitive – and undeniably faster.