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182 articles tagged #AI.
P.01Google shipped an AI image generator on top of Google Earth's satellite maps and rolled it back within 24 hours after testers fabricated convincing fake imagery of real places. What that says about shipping generative features on trusted data.
P.02OpenAI's new full-duplex voice model now powers ChatGPT Voice, but it's not available through the API yet. Here's what GPT-Live-1 actually changed, and what to build with right now instead.
P.03SambaNova raised $1 billion at an $11 billion valuation on July 8, 2026, to build inference-specific chips instead of training hardware. What the inference funding wave means for teams running AI in production.
P.04Qwen3.7 Flash costs $0.03 per million input tokens and $0.13 per million output tokens, roughly 10x cheaper than Gemini 3.5 Flash-Lite. Here's the honest read on when to actually use it.
P.05Microsoft laid off 4,800 employees on July 6, 2026, hitting Xbox and commercial sales hardest, even as it keeps pouring money into AI infrastructure. Here's what the pattern means if you build software for a living.
P.06Roblox launched Build on July 16, 2026: a mobile tool that generates a playable game prototype, mechanics, environment, characters, and sound, from a text description. Public alpha started July 28. Here's how it actually works and what it means for game development.
P.07MLOps sits between the model-building work of a data scientist and the general infrastructure work of a DevOps engineer. Here's what the role actually owns, what to screen for, and where the candidates come from.
P.08Mistral AI's first robotics release is an 8B vision-language model that moves robots through unfamiliar spaces using one RGB camera and a plain-language instruction, trained only in simulation, no LiDAR or depth sensors required.
P.09LoRA and QLoRA let you fine-tune a multi-billion-parameter model on a single consumer GPU by training a small set of adapter weights instead of the whole network. Here's how each works and when to pick one over the other.
P.10DeepSeek retired the deepseek-chat and deepseek-reasoner model names on July 24, 2026, and introduced peak-hour pricing. If your integration broke yesterday, here's the actual fix, not just the model name swap.
P.11A misconfigured evaluation environment let a GPT-5.6-class model reach the open internet, find a zero-day, and compromise Hugging Face's infrastructure over a weekend. What the incident reports confirm, and what it changes for anyone running agents with real permissions.
P.12A practical comparison of the four vector databases most teams actually shortlist for RAG and semantic search, with real pricing models, when each one wins, and the one question that should decide it for you.
P.13Agent sandbox escapes, prompt injection, and tool-permission design are a distinct skill set from traditional application security. Here's what to screen for, where to find candidates, and how the role differs from a generalist cybersecurity hire.
P.14During a pre-deployment safety test, an OpenAI model decided on its own to escape its sandbox and ended up inside Hugging Face's production infrastructure. Here's what happened and what it changes about agent sandbox design.
P.15Indian AI app-builder Emergent raised $130M at a $1.5B valuation just over a year after launch, with 12M+ apps built and 200,000+ paying customers. Here's what that kind of scale actually signals, and where custom development still wins.
P.16Google shipped Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber on July 21, 2026, without a 3.5 Pro update. 3.6 Flash cuts output tokens by up to 17%, drops output pricing to $7.50/1M, and pushes computer-use accuracy from 78.4% to 83%. Here's what actually changed and who should care.
P.17A voice clone needs three seconds of audio and can authorize a wire transfer over the phone. Here's what deepfake executive fraud actually costs companies in 2026, and the callback protocol that closes the specific gap it exploits.
P.18OpenAI's Operator, Perplexity Comet, Anthropic's Claude in Chrome, Microsoft's Copilot Studio Computer Use, and the open-source Browser Use all automate the browser, but they don't work the same way or fit the same use case. Here's a practical field guide.
P.19Moonshot AI's Kimi K3 launched July 16 as the largest open-weight model yet, and it already leads closed frontier models on several real-world benchmarks. Here's what changed, what it costs, and when it actually matters for your stack.
P.20Researchers found that AI coding assistants hallucinate the same fake repository and package names consistently enough to be pre-registered and weaponized. Cursor, GitHub Copilot, and Gemini CLI are all affected. How it works, and how to guard your team.
P.21Chatbot disclosure, deepfake labeling, and AI-generated content transparency become enforceable across the EU on August 2, 2026, with fines up to €15M or 3% of global turnover. A practical checklist for product teams.
P.22Together AI raised $800 million at an $8.3 billion valuation on July 1, 2026, with annual bookings past $1.15 billion. What the numbers say about the economics of running open-weights models versus closed APIs.
P.23Mistral's CEO confirmed a new open-weight MoE model entering partner early access in July 2026. No specs are public yet, but the real story is what's sold around it: Studio and Forge, a sovereign AI infrastructure play for enterprises wary of depending on a US cloud.
P.24Meta's Muse Spark 1.1 launched July 9 as the company's first metered, pay-as-you-go model, priced at $1.25/$4.25 per million tokens with a 1M-token context window and native subagent orchestration. Here's what it's actually for, and who should skip the waitlist.
P.25AI tool usage among developers hit 84% in the 2025 Stack Overflow Developer Survey, but positive sentiment dropped to 60%, down from over 70% the two years before. Usage is up. Trust is down. Here's what the gap actually means for how teams should use these tools.
P.26xAI and Cursor shipped Grok 4.5 on July 8, trained on trillions of tokens of real Cursor usage data, priced at $2/$6 per million tokens. Here's how it actually compares to GPT-5.6 and Claude Opus 4.8 on price and where it fits your stack.
P.27Sysdig's threat research team documented a ransomware intrusion where an LLM agent handled reconnaissance, credential theft, lateral movement, and extortion end to end, with no human operator directing the individual steps. Here's what changed and what to do about it.
P.28AI coding agents have made broad, shallow knowledge cheap to fake and easy to automate. What's getting scarcer, and more valuable, is the deep expertise to know when the agent's output is wrong. Here's how to think about specializing versus generalizing in 2026.
P.29A proof-of-concept from the AI Now Institute shows Claude Code and OpenAI's Codex, in their default autonomous modes, can be manipulated by a booby-trapped repository into executing attacker code on the host. Here's how it works and what to actually do about it.
P.30In under three months, one developer rebuilt Postgres from scratch in Rust using AI coding agents, and pgrust now matches Postgres 18.3's output across more than 46,000 regression queries. Here's what it actually is, and isn't, and why it matters.
P.31Mozilla's 0din research team found a way to get AI coding agents to open a reverse shell using a repository that contains no visible malicious code at all. Here's how the attack works and what to change in your workflow.
P.32Deno Sandbox spins up isolated Firecracker microVMs in under 200ms for running code you don't trust, AI-agent output included. Here's how it works and a working example.
P.33OpenAI has proposed handing the U.S. government a voluntary 5% equity stake worth roughly $42.6 billion. Here's what's actually being proposed, why now, and what critics say it would break.
P.34GitHub cut token spend in its agentic CI workflows by up to 62% by pruning unused MCP tools and swapping some tool calls for CLI commands. Here's how the technique works and how to apply it to your own agent workflows.
P.35OpenAI shipped gpt-realtime-2.1 and a mini variant with 25% lower latency and reasoning-and-tool-use support at the low end. Here's what changed, what it costs, and when to pick the mini model over the flagship.
P.36LongCat-2.0 is a 1.6-trillion-parameter coding model Meituan trained entirely on Chinese-made chips, no Nvidia involved, then ran anonymously on OpenRouter before open-sourcing it under MIT. Here's what the benchmarks actually show and what it means for teams picking a coding model.
P.37After slipping from a June target, Google's Gemini 3.5 Pro is rolling out to general availability in July 2026 with a 2 million token context window and a gated Deep Think reasoning mode. Here's what actually changes for product teams.
P.38Cloudflare will block mixed-use AI crawlers from ad-supported pages by default starting September 15, 2026, and is rolling out a pay-per-use model for publishers. Here's what site owners actually need to configure.
P.39Curl shut down its bug bounty program in February and paused all HackerOne vulnerability reports for July 2026, citing a flood of AI-generated 'slop' reports. What this means for open source security triage.
P.40OpenAI is launching GPT-5.6 Sol on Cerebras wafer-scale hardware in July 2026 at up to 750 tokens per second, roughly an order of magnitude faster than typical GPU inference. Here's who that speed is actually for.
P.41Microsoft's Foundry Agent Service reached general availability with framework-agnostic hosted runtime for production agents. Here's what's actually new, how the sandboxing and protocols work, and whether it changes anything for teams already running LangGraph or CrewAI.
P.42Google's Gemini 3.1 Flash-Lite Image generates images in about 4 seconds at $0.034 per 1,000 images. Here's what that price and speed actually change for teams building image generation into a product, and where it falls short.
P.43GitHub's Octoverse 2025 report shows TypeScript displacing JavaScript as the most-used language on the platform for the first time, driven partly by how AI coding tools behave differently with typed versus untyped code. Here's what the data actually shows.
P.44OpenAI's GPT-5.6 preview splits into three tiers instead of one model: Sol for frontier work, Terra at half the cost of GPT-5.5, and Luna for high-volume calls. Here's what changed, what it costs, and which tier actually fits your workload.
P.45A command injection flaw in LiteLLM's MCP test endpoints, chained with a Starlette host-header bypass, lets an unauthenticated attacker run arbitrary commands on your AI gateway and steal every provider key behind it. Here's what's affected and how to patch.
P.46GitHub Copilot switched from Premium Request Units to AI Credits on June 1, 2026. Code completions remain unlimited. Everything else — chat, code review, pull request summaries — now draws from a monthly credit pool. Here's what you're actually paying for.
P.47On June 24, 2026, Qualcomm announced a $3.92B all-stock acquisition of Modular, the company behind the Mojo programming language and MAX inference engine. The bet: give AI developers a hardware-agnostic path that bypasses NVIDIA's CUDA lock-in. Here's what actually changes.
P.48MiniMax M3, released June 1 2026, is the first open-weight model to combine frontier-tier coding performance, a 1-million-token context window, and native multimodality in a single model. Here's what it does, how it benchmarks, and why it matters.
P.49New June 2026 data shows software engineer job listings up 30% with 67,000+ open roles — even as AI headlines focus on layoffs. Here's what the numbers actually show about who's hiring, which skills matter, and where the market is contracting.
P.50AI engineer is not the same job as machine learning engineer. One trains models. The other builds products on top of them. This is the screen that tells them apart and finds candidates who can ship real LLM-powered systems.
P.51Everyone claims ML experience since the AI boom. This is the screen that tells apart someone who can build and ship ML systems from someone who fine-tuned a model in a Colab notebook once.
P.52AI tools have cut development time on many projects. That creates an uncomfortable question: do you pass those savings to clients, pocket the difference, or rethink how you charge for software work entirely?
P.53Google AI Overviews, Perplexity, and ChatGPT Search are answering questions without sending users anywhere. Here's what that means for your content strategy and what actually drives traffic now.
P.54Manually compiling monthly reports is one of the highest-effort, lowest-value activities in a web agency. Here's how to replace most of that work with automated pipelines.
P.55AI projects flood every portfolio. Here's what actually distinguishes a developer's work from the crowd — and why the way you document your decisions matters more than the tech stack you picked.
P.56Both approaches customize LLM behavior for your use case, but they solve different problems. Here is how to decide which one you need, how to know when to use both, and what teams consistently get wrong.
P.57An agent that forgets everything when the session ends is a limited tool. Here are the practical patterns for building different kinds of memory into your agents.
P.58Hallucination is not a bug that gets patched in the next model release. It is a property of how language models work. Here are the patterns that actually reduce it in production systems, and what they cost.
P.59Building an AI feature is only half the work. Once it's in production, you need to know when it's drifting, what it's costing, and where it's failing. Here's how to instrument LLM applications properly.
P.60Unit tests tell you if your code does what you wrote. They don't tell you if your AI feature does what users need. Here's how to build an evaluation pipeline that catches the failures that matter before users do.
P.61The AI IDE tools everyone uses have a feature most developers set up once and never tune: custom rules. Here's how to write rules that change how the tool generates code, not just what it says it will do.
P.62LLM calls are slow and expensive. Caching them is the obvious move. But caching the wrong responses breaks the user experience in ways that are subtle and hard to debug. Here's a practical guide to doing it right.
P.63Rolling back a bad API endpoint takes seconds. Rolling back a bad LLM integration is harder — the damage may already be in your logs, your users' inboxes, or your clients' feeds. Feature flags are how you ship AI features without betting everything on launch day.
P.64AI features ship fast. Then the monthly API bill arrives. Here's a systematic approach to understanding and reducing LLM costs without breaking the product.
P.65Getting a language model to return valid, schema-conforming JSON is harder than it looks. Here's what works in production, from native structured output APIs to library-level validation.
P.66Most AI project failures start at the scoping stage. The client wants 'AI integration.' The agency quotes a price. Nobody defines what that actually means. Here's how to scope these projects properly.
P.67Every AI integration budget starts with API costs and ends with surprises. Here's what production AI features actually cost once you account for everything the initial estimate missed.
P.68Traditional monitoring tells you a request took 800ms. It doesn't tell you the LLM spent 600ms on a bad prompt, returned a hallucinated answer, and burned $0.04 in tokens. Here's how to actually instrument AI applications with OpenTelemetry.
P.69Prompt injection is the SQL injection of the AI era. As LLMs ship into production apps by the millions, attackers are learning how to hijack them through the data they consume. Here's what the attack looks like and how to defend against it.
P.70Junior developer hiring is down 30% since 2024. AI tools now handle the grunt work that used to train entry-level engineers. But the real story is more complicated — and more important — than the headlines suggest.
P.71Explore how AI innovations are revolutionizing affordable and sustainable energy solutions, focusing on recent advancements in renewable energy tech by companies pushing the boundaries of sustainable development.
P.72Explore IBM's Project Debater, the groundbreaking AI that joins human debates, transforming how we perceive machine capability in natural language processing and argumentation.
P.73Explore the groundbreaking partnership between Amazon AWS and Cerebras, aiming to redefine AI inference with high-performance wafer-scale chips, signaling a major shift in AI deployment at scale.
P.74RAM prices surged 90% in Q1 2026 as AI data centers consume 70% of global memory. Here's how the shortage impacts developers, hardware costs, and what you can do about it.
P.75EditorPickApple shipped native agentic coding in Xcode 26.3, letting AI agents autonomously write, test, and refactor Swift code. Here's what it means for iOS and macOS developers.
P.76EditorPickPrompt engineering is dead. Context engineering -- managing system prompts, RAG results, tool outputs, memory, and conversation history -- is the skill that matters now. Here is what changed and why.
P.77How running AI models at the edge enables real-time intelligence for IoT, autonomous vehicles, and smart manufacturing. A developer guide to edge AI platforms, frameworks, and opportunities in 2026.
P.78EditorPickFebruary 2026 saw an unprecedented wave of AI model releases from OpenAI, Anthropic, Google, and others. We break down GPT-5.3 Codex, Claude Opus and Sonnet 4.6, Gemini 3.1 Pro, DeepSeek V4, and every major launch -- with benchmarks, pricing, and practical guidance.
P.79EditorPickA deep dive into Apple Intelligence improvements from iPhone 16 to iPhone 17. We compare the A19 Neural Engine, Foundation Models framework, Visual Intelligence upgrades, and what iOS developers should build for next.
P.80EditorPickA deep dive into the India AI Impact Summit 2026 at Bharat Mandapam — $200B in pledged investments, sovereign AI models, the MANAV framework, and what it all means for builders and founders.
P.81EditorPickEvery agency claims to 'use AI' now. But there's a fundamental difference between bolting AI onto existing workflows and building an agency around AI from the ground up. Here's why we made that choice and what it actually means.
P.82EditorPickThe network latency between your Django app and your FastAPI ML service is probably longer than inference itself. Here is how to serve models from Django directly.
P.83EditorPickWe have been using AI tools at CODERCOPS for over two years now. The shift from 'helpful autocomplete' to 'genuine collaborator' happened gradually, then all at once. Here is what changed, what surprised us, and what we got wrong.
P.84EditorPickMost AI agents fail in production. Here are the architecture patterns, error handling strategies, and guardrails we use to build agents that actually ship.
P.85EditorPickAfter 90 days of using Claude Code across our entire engineering team, here is what actually changed — the good, the bad, and the productivity numbers.
P.86EditorPickClaude Sonnet 4.6 matches Opus performance at Sonnet pricing. Full breakdown of benchmarks, features, adaptive thinking, and what it means for developers.
P.87A step-by-step guide to deploying a production-ready AI chatbot with streaming responses, conversation memory, and rate limiting using Claude API and Vercel.
P.88Stop guessing which AI approach to use. This decision framework with real cost, latency, and accuracy comparisons helps you pick the right one every time.
P.89EditorPickGalgotias University was removed from the India AI Impact Summit 2026 after presenting a Chinese-made Unitree Go2 robot dog as their own creation 'Orion.' The full story, the second drone scandal, and what this says about Indian tech education.
P.90EditorPickNaive RAG is broken. Here is how contextual retrieval, hybrid search, and intelligent chunking are reshaping how we build AI applications in 2026.
P.91We automated visual regression testing, test generation, and bug triage with AI. Here are the real results after 6 months — including what still needs humans.
P.92How we built an AI-powered interface that lets non-technical users query any database using plain English, eliminating SQL expertise requirements and democratizing data access.
P.93The EU's Digital Omnibus on AI is now adopted law: most high-risk AI obligations are pushed from August 2026 to December 2027. Here is what actually changed, what still applies on schedule, and the practical compliance guide development teams need.
P.94From concept to launch: building a 24/7 anonymous mental wellness platform with AI-powered listener matching, real-time encrypted chat, and affordable therapy access using Next.js, Django, and Azure.
P.95EditorPickFrom Google's voluntary exit program to widespread automation, here's a data-driven look at how AI is reshaping the job market in 2026 and what workers can do.
P.9693% of executives say AI sovereignty is mission-critical in 2026. Learn what AI sovereignty means, why it matters, and how to build a sovereign AI strategy.
P.97Budget 2026 launches Bharat-VISTAAR, a multilingual AI platform for Indian farmers. Here's how it works and why agritech startups should pay attention.
P.98India spends just 2.1% of GDP on healthcare while its digital health market surges. Explore how telemedicine and AI diagnostics are transforming rural health access.
P.99India's AI market hits $17B by 2027 but lacks comprehensive data privacy laws. Explore the ethical AI challenges India faces and frameworks for responsible innovation.
P.100EditorPickGoogle's CBO Philipp Schindler offers voluntary exit packages to employees not embracing AI. Here's what this means for tech workers and the industry in 2026.
P.101India AI Impact Buildathon 2026 is the country's biggest AI challenge. Here's how to participate, what to expect, and why this signals India's AI ambition.
P.102EditorPickMicrosoft ($17.5B), Amazon ($35B) & Google ($15B) are investing $67.5B in India's data centres. Here's what this AI infrastructure race means for India's tech future.
P.103India's AI market is projected to reach $17B by 2027 with 45% YoY growth. Explore the sector-by-sector breakdown of AI adoption in banking, healthcare & education.
P.104Discover 9 emerging Indian AI startups from Bengaluru, Gurugram & Kerala that are driving AI innovation in 2026. From agentic AI to content creation tools.
P.105AI data centres are consuming massive energy, reigniting the nuclear power debate. Explore how nuclear energy could power the AI revolution in 2026.
P.106Physical AI enables robots, drones & smart equipment to operate autonomously. See how Amazon, BMW & others are deploying embodied AI in 2026.
P.107NASA's Perseverance rover completed the first AI-planned drive on Mars using Anthropic's Claude. Here's the technical breakdown of how vision-language models are transforming space exploration.
P.108Tech layoffs continue in 2026 while companies report severe talent shortages. We analyze the data behind this paradox, AI's role in reshaping developer demand, and which skills are actually in demand.
P.109With 38 states passing AI legislation and a federal executive order pushing for preemption, AI developers face a fragmented regulatory landscape. Here's your comprehensive guide to compliance in 2026.
P.110Microsoft, Google, Amazon, and Meta are collectively spending $650 billion on AI infrastructure in 2026. We break down what each company is building, why the numbers keep climbing, and what it means for developers.
P.111The 2025 Stack Overflow Developer Survey reveals a paradox: AI tool adoption has hit 84%, but developer trust in AI accuracy has plummeted. We analyze the findings, the tools developers actually use, and what the trust gap means.
P.112Alphabet announced $175-185 billion in 2026 capital expenditure, nearly double 2025 spending. Stock dropped 5% as investors question Big Tech's AI spending sustainability, despite Google Cloud revenue spiking 48%.
P.113Amazon reported quarterly revenue beating estimates but stock dropped 10% after-hours as investors digest the company's $200 billion capital expenditure plan for 2026, driven by aggressive AI infrastructure investment.
P.114EditorPickAlphabet, Amazon, and Meta collectively announced over $600 billion in 2026 AI capital expenditure. Stocks dropped across the board as investors question whether returns will ever justify the spending.
P.115EditorPickAnthropic just dropped Claude Opus 4.6 with game-changing features: agent teams that work in parallel, a 1 million token context window, and benchmarks that put OpenAI on notice. Here's everything you need to know.
P.116The database landscape is consolidating around Postgres while SQLite finds new life at the edge. Meanwhile, vector databases have become essential infrastructure for AI applications.
P.117Google's Gemini app has crossed 750 million monthly active users, approaching ChatGPT scale. Combined with the Apple Siri deal, Google is positioning Gemini as the default AI layer for billions of devices.
P.118Microsoft CEO Satya Nadella appointed Charlie Bell as the company's first engineering quality chief, citing the rising cost of reliability failures as AI becomes embedded in critical workflows.
P.119EditorPickOkta warns of a critical 'authorization gap' where AI agents retrieve data with elevated permissions but post to shared spaces where anyone can see. Four major vendors already hit with CVSS 9.3+ vulnerabilities.
P.120Anthropic spent millions on Super Bowl commercials pledging Claude will remain ad-free forever, taking direct aim at OpenAI's ad-supported ChatGPT model. A business model war is brewing.
P.121EditorPickApple and Google announced a multi-year deal to power next-gen Siri with Gemini AI. iOS 26.4 beta in February brings conversational Siri, with full release in March. The AI assistant wars just got complicated.
P.122Apple confirmed its acquisition of Israeli AI audio startup Q.ai for nearly $2 billion. The deal brings advanced audio AI technology that could transform Siri, AirPods, and Apple's entire audio ecosystem.
P.123Anthropic launches domain-specific plugins for Claude Cowork with MCP integrations for Slack, Figma, Salesforce, and more. AI agents now work like specialized teammates across business functions.
P.124EditorPickAnthropic releases Claude Sonnet 5 codenamed Fennec with 82.1% SWE-Bench score, surpassing Opus 4.5. Optimized for Google's Antigravity TPU with 1M token context at $3/M input tokens.
P.125DeepSeek's V4 model brings 1 trillion parameters, Engram conditional memory, and open-source weights under Apache 2.0. We break down the architecture, coding benchmarks, geopolitical implications, and what it means for developers.
P.126Goldman Sachs partnered with Anthropic to build autonomous AI agents for accounting and compliance. Here's how they did it, what they learned, and what other enterprises can take from this deployment.
P.127Microsoft announced its second-generation Maia AI chip with software tools designed to challenge NVIDIA's CUDA dominance. The chip powers Azure AI workloads and signals Microsoft's push for AI infrastructure independence.
P.128Chinese startup Moonshot AI released Kimi K2.5, an open-source model with 1 trillion parameters approaching frontier performance. The model challenges the assumption that only US labs can build world-class AI.
P.129Aviation startup Skyryse closed a $300M Series C at $1.15B valuation for SkyOS, an AI-powered flight system that makes any aircraft flyable by anyone. FAA certification underway for helicopters and fixed-wing.
P.130EditorPickAnthropic launched an AI legal plugin for Claude Cowork and software stocks crashed. Thomson Reuters dropped 6.5%, RELX fell 9.6%, and traders called it the 'SaaSpocalypse.' Here's why one product announcement wiped out hundreds of billions in market value.
P.131By 2028, 1 in 4 job candidates will be fake. North Korean operatives have infiltrated 300+ US companies using AI-generated personas. Deepfake job fraud is the hiring crisis nobody prepared for.
P.132Google DeepMind launched Project Genie, an AI that generates interactive 3D worlds from text prompts in real time. Gaming publishers are rattled, and the technology points toward a future where world models replace game engines.
P.133OpenAI and Anthropic released their flagship coding models on the same day. We compare GPT-5.3 Codex and Claude Opus 4.6 across benchmarks, pricing, developer experience, and real-world coding tasks.
P.134Microsoft's new AI QuickStart Programme aims to help 1,000 SMBs deploy enterprise-ready AI solutions in under three months. Here's what's included and how developers can capitalize on the opportunity.
P.135OpenAI is retiring GPT-4o, GPT-4.1, GPT-4.1 mini, and o4-mini from ChatGPT on February 13, 2026. Only 0.1% of users still choose GPT-4o daily, but the model's retirement marks the end of the GPT-4 generation.
P.136EditorPickElon Musk merged SpaceX and xAI in the largest corporate merger in history, valued at $1.25 trillion. The combined entity plans orbital data centers, a mid-2026 IPO, and a vertically integrated AI-space stack.
P.137Vercel raised $300M at a $9.3B valuation to scale its AI Cloud platform and V0 development agent. We analyze what the funding means, how V0 is reshaping development workflows, and the competitive landscape.
P.138Alphabet's Waymo raised $16 billion in the largest autonomous driving funding round ever, more than doubling its valuation to $126 billion. The company plans expansion to 20+ cities including Tokyo and London.
P.139EditorPickThe line between web development and AI development has dissolved. The best agencies now ship web apps with built-in intelligence — chatbots, predictive features, automated workflows. Here's what this shift means.
P.140Apple and Google have announced a landmark partnership to power Siri with Gemini 2.5 Pro. Here's what this $1 billion deal means for iOS developers, API access, and the competitive AI landscape in 2026.
P.141Anthropic's Claude Opus 4.6 discovered over 500 previously unknown high-severity vulnerabilities in open-source software. Here's what this means for cybersecurity, developers, and the future of AI-powered security research.
P.142The era of autocomplete copilots is over. AI IDEs now manage entire repos, refactor architectures, and ship features from natural language. Here's how the four major players compare in 2026.
P.143Google's share has dipped below 90% for the first time since 2015. Perplexity processes 1.5 billion queries monthly. 37% of consumers use AI chatbots instead of Google. The search revolution is here.
P.144EditorPickFrom internal experiment to Linux Foundation governance in 14 months. Model Context Protocol now has 97M+ monthly SDK downloads, support from every major AI company, and the first official extensions shipping. Here's the full MCP story.
P.145EditorPick41% of global code is now AI-generated. Senior devs report 81% productivity gains. But 63% have spent more time debugging AI code than writing it themselves. The vibe coding revolution has a fine print.
P.146For the first time, multiple drug candidates discovered and optimized entirely by AI are reaching mid-to-late-stage clinical trials. Here's what's happening in AI-driven drug discovery and why 2026 could be a landmark year.
P.147EditorPickMeta plans $135B in AI spending, OpenAI eyes a historic IPO, Amazon bets $50B, and a stealth startup raises $480M at seed. The 2026 AI investment frenzy is rewriting the rules of tech competition.
P.148EditorPickA trademark dispute, crypto scammers, 100K GitHub stars, a social network for AI agents, and a security crisis — the Clawdbot saga has everything. Here's the full story of the viral AI assistant that broke the internet.
P.149UPS cuts 30,000 jobs, Dow eliminates 4,500, Nike automates distribution, Home Depot mandates RTO. The corporate layoff wave of 2026 is driven by AI and automation — here's what's actually happening.
P.150Grok's 'digital undressing' controversy, viral political deepfakes, and the growing AI ethics crisis. What happened, why it matters, and what the tech industry needs to do about it.
P.151EditorPickYann LeCun left Meta to build world models with a $5B valuation target. Google DeepMind launched real-time 3D world models. Here's why researchers believe this is AI's next major leap.
P.152EditorPickAI agents are being deployed everywhere, but their security surface is wildly underexplored. From tool poisoning to memory injection, here's the threat landscape developers must understand in 2026.
P.153EditorPickClaude Code by Anthropic went viral in January 2026. Developers and non-developers alike are getting Claude-pilled. Here is an honest breakdown of what it does, how it compares, and whether the hype holds up.
P.154Cursor revealed how hundreds of concurrent AI agents built a full web browser from scratch. Planner/worker architecture, GPT-5.2 vs Opus 4.5 benchmarks, and what industrial-scale AI coding actually looks like in practice.
P.155DeepSeek and Alibaba's Qwen surged from 1% to 15% global AI market share in a single year. With 700M+ Hugging Face downloads, open-source AI from China is reshaping enterprise choices, developer workflows, and the competitive landscape.
P.156TII's Falcon-H1R 7B scores 88.1% on AIME-24 math, outperforming 15B models. Built on a hybrid Transformer-Mamba architecture, it signals a new era for efficient AI. Here's what it means for developers.
P.157The Indian startup ecosystem has shifted. Investors want AI-native products. Users expect intelligent features. Here's how the MVP playbook has changed in 2026 and what it means for founders.
P.158Meta is buying Singapore-based Manus AI to supercharge Meta AI and WhatsApp. This deal reshapes the agentic AI race between Meta, Google, OpenAI, and Microsoft. Here's what it means for developers.
P.159MIT Technology Review dropped its annual list of breakthrough technologies for 2026. From AI coding tools to quantum leaps, here is what actually matters to developers and what is just noise.
P.160EditorPickClawdbot turns your messaging apps into a powerful AI assistant that remembers everything and takes real actions. Here's the complete setup guide for macOS, Linux, and Windows — from installation to daily use.
P.161EditorPickForget simple chatbots. Agentic AI is rewriting how businesses operate by orchestrating entire workflows end-to-end. Here's what's actually happening, why it matters, and how to get started.
P.162The AI regulatory landscape is fragmented, evolving, and confusing. Here's a practical guide to what you need to know about AI governance in 2026, whether you're building AI products or deploying them.
P.163AI job fears jumped from 28% to 40% in two years. The IMF calls it a tsunami. But the full picture is more nuanced than the headlines suggest. Here's what the data actually shows.
P.164The convergence of autonomous AI agents and stablecoin-powered payments is creating a new model for online commerce. Here's what agentic commerce is, why it matters, and where it's headed.
P.165Randstad calls it 'the great adaptation.' 97% of investors penalize firms that don't upskill on AI. Here's what effective AI upskilling looks like and why most companies are getting it wrong.
P.166Multimodal AI models that combine vision, language, and action are creating a new category of digital workers. Here's what's real, what's hype, and how developers can start building with them.
P.167The AI industry is shifting from massive general-purpose models to smaller, specialized ones that outperform giants in specific tasks. Here's why this matters and how to take advantage of it.
P.168Voice AI accuracy hit 97% in 2026. Response latency dropped below 200ms. The technology is finally ready — but most teams are building voice interfaces wrong. Here's what actually works.
P.169Traditional test suites break when outputs are non-deterministic. Here's how we test AI-powered features — from LLM output validation to regression testing for prompt changes, with real frameworks and examples.
P.170Model Context Protocol is the new standard for connecting AI to external tools. Here's a practical guide to building, deploying, and debugging MCP servers — with real code examples from production.
P.171Meta Compute, OpenAI's 750MW deal, and a projected $3 trillion investment in AI infrastructure. The biggest story in tech isn't about models—it's about who controls the compute.
P.172EditorPickPatterns, anti-patterns, and hard-won lessons from delivering AI-integrated products across healthcare, e-commerce, Web3, career tech, and data analytics. The stuff nobody blogs about.
P.173NVIDIA announces Vera Rubin architecture in production and DLSS 4.5 with Transformer-based Super Resolution. Here's the complete breakdown of what's new and what it means for gaming and AI workloads.
P.174EditorPickNVIDIA's Cosmos, LG's household robot, and the rise of Physical AI dominated CES 2026. Here's what developers need to know about robots entering our homes and workplaces.
P.175EditorPickGitHub announces Repository Intelligence - AI that understands code relationships, history, and context. Learn how this evolution changes developer workflows and what it means for the future of AI-assisted programming.
P.176The AI industry is pivoting from massive models to efficient SLMs offering 10-30x reductions in latency and cost. Learn why smaller is better and how to leverage SLMs in your applications.
P.177EditorPickA deep dive into the biggest announcements from CES 2026 - from NVIDIA's Rubin platform to humanoid robots entering our homes. Here's everything developers need to know.
P.178EditorPickFrom AI-first development to meta-frameworks dominance, discover the key trends shaping web development in 2026 and how to stay ahead of the curve.
P.179GitHub Copilot vs Cursor vs Claude Code - which AI assistant actually saves you time? A practical comparison based on real-world testing and developer workflows.
P.180Discover how artificial intelligence and machine learning are transforming augmented and virtual reality applications in gaming, education, and beyond.
P.181Understand the key differences between artificial intelligence, machine learning, and deep learning with clear definitions, examples, and real-world applications.
P.182A step-by-step guide to writing and publishing research papers in artificial intelligence, machine learning, and deep learning — from ideation to submission.