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Last night Apple briefly removed Telegram from the AppStore because a user had planted illegal porn in a public chat. Telegram was restored within hours. But I want to explain what happened — to warn other app developers and help protect online communities from similar attacks. Because Telegram quickly removes illegal content from public groups using all kinds of moderation tools, the attacker had to resort to a technical trick. He inserted AI-modified illegal content by editing an old message in an active group chat. As a result the content was effectively hidden from the group’s members, preventing them from seeing/reporting it. The attacker was a takedown extortionist: someone who demands ransom from group owners in exchange for not targeting their communities. These extortionists use automated accounts to plant illegal content in public groups and then report it directly to Apple, attempting to trigger the removal of legitimate communities whose owners refused to pay them. From a practical standpoint, illegal pornographic content in Telegram’s public groups is not a systemic problem. Our moderation is effective. The fact that attackers must resort to backdated, effectively invisible content and other technical tricks proves this. ⚠️ However, there are two important lessons here for app developers and online communities: — Extortionists have found a way to manipulate Apple into overreacting. Apple removed Telegram from the App Store before contacting us. This creates a potential systemic risk for every mobile app that hosts user-generated content. If an app used by more than a billion people can be removed from the App Store without prior warning, any app can be. — The tactics used by takedown extortionists are evolving, putting communities across social platforms at risk. Telegram has extensive experience identifying the tricks used by coordinated reporting gangs and protecting legitimate communities (even when doing so risks our own app being temporarily removed from the App Store). Other platforms may not be equally prepared. Stay vigilant! ☝️

🚀 Calling all innovators in Pakistan! We're thrilled to launch Pakistan's First and Largest Alibaba Cloud AI Hackathon—a unique opportunity for students, developers, entrepreneurs, and AI enthusiasts to turn bold ideas into real-world solutions powered by cutting-edge cloud and AI technologies. 📅 Registration closes: 7 August 2026 🔗 Secure your spot now: • Build with Alibaba Cloud’s advanced AI tools • Win cash prizes & exclusive Alibaba Cloud credits • Get direct mentorship from our tech experts • Showcase your talent on a national stage At Alibaba Cloud, we believe the future is built by local talent. Let's build it together. 💻✨ #AlibabaCloud# #AIHackathon# #CloudInnovation# #DigitalPakistan# #HackWithAlibabaCloud#

Grok Build keeps getting smarter.....this update expands Auto mode, gives developers more control over Bash permissions, speeds up /btw, and makes long conversations easier to navigate Release Notes: v0.2.119 Features: • Always allow for bash commands now lets you edit a free-form glob pattern instead of only word-prefix scopes. • Long responses now show a clickable arrow that jumps back to the start of the answer. • Auto mode now auto-approves more common read-only git commands and harmless file appends. • Plan previews now show Mermaid diagram buttons (Open Image, Copy Image Path, Copy Source). Bug Fixes: • Gateway connections now detect and recover from dead sockets more reliably. • Question cards now let you Tab through answers instead of losing focus to the scrollback. • Resume picker no longer tries to load a session from pasted garbage when you press Enter. • Background task completion messages no longer grow unbounded when the task produced a huge log. • Plan viewer scrollbar now responds to clicks on the border column and renders without dark stripes in • Expired external auth provider credentials now correctly trigger the interactive sign-in flow instead of a silent 401 loop. Performance: • /btw side questions now reuse the parent session’s cached prefix for faster responses. • Doctor and tmux-backed startup are now faster when no live tmux processes remain.

"Voice gets interesting the moment developers find interaction patterns that only voice makes possible." - @scottcjohnston We built a @DeepLearningAI course on exactly that. Voice for AI Agents and Applications, with @_ashwyn , @AndrewYNg , and @scottcjohnston. Most voice infrastructure out there was built for one job: replace humans in contact centers. Answer the phone, follow the script, close the ticket. Building voice into a real product is a different problem. This free short course is about that, giving your apps and agents an actual voice. You'll walk away having built: 🎮 a voice-interactive game where voice and mouse clicks run over one channel 🤖 a chat agent that gains a voice in ~10 lines, no touching your prompts, RAG, or tools 📞 an agent that makes real outbound phone calls and streams the transcript back live Enroll for free: We'd love to see what you build. Let's go 🚀

Thank you, @cursor_ai, for providing free credits to several FFmpeg developers. These credits will support their ongoing work on FFmpeg, including development and code review. We greatly appreciate Cursor’s support for FFmpeg and its community.

I find it so funny when younger developers are like "Older games cheated! It's not actually reflections, they just render the room twice!" Yeah, and their render pipeline takes 2ms to complete and your takes 43ms.

Kimi K3 is now available on Token Factory. We’re excited to announce that Nebius Token Factory is an official Day 0 partner for @Kimi_Moonshot's Kimi K3. Kimi K3 is the first open-weight model to reach frontier-level performance, a major step forward for open models. It is built for long-horizon coding, knowledge work and reasoning, with native vision and up to 1M tokens of context. Artificial Analysis scores it at 57 on its Intelligence Index, just two points behind GPT-5.6 Sol (max). That puts Kimi K3 at the top of the open-weight field and firmly among today’s frontier models. Developers can access K3 through Token Factory’s OpenAI-compatible API and console today. Give K3 the hard problem. Build with Kimi K3:

Collaborative robots ("cobots") are reshaping the future of work by augmenting human capabilities—not replacing them. Designed to safely work alongside people, cobots are transforming manufacturing today and arerapidly expanding into healthcare, logistics, agriculture, laboratories, construction, and retail. As AI, machine vision, and semantic reasoning continue to evolve, cobots will becomeincreasingly adaptive, autonomous, and interconnected. Their future depends not only on physical intelligence, but also onstandardized digital identities, interoperable data, and shared semantic understandingacross global ecosystems. In Web3, domain namespaces such as .COBOTS have the potential to serve as digital identity infrastructure for robotics ecosystems—supporting decentralized identities, machine-readable services, asset discovery, and trusted interactions between robots, organizations, developers, and AI agents. Web3 domains are increasingly being explored as a foundation for digital identity and decentralized applications. #Cobots# #CollaborativeRobots# #Robotics# #Web3# #DigitalIdentity# #AI# #Industry40# #Industry50# #HumanoidRobots# #SemanticWeb# #KnowledgeGraph# #Automation# #FutureOfWork#

📢 Claude Opus 5 is now live on API! As @claudeai’s latest Opus series model, Claude Opus 5 supports a 1M-token context window and up to 128K output tokens, delivering enhanced performance across complex reasoning, long-horizon coding, and knowledge-intensive tasks. Available through both Official API and Custom Provider Mode, with Custom Provider access offering up to 40% OFF, giving developers more flexibility to optimize performance and cost. 👉 Try it now:

Since the start of the year, @OpenCode (YC W21) — an open source alternative to Claude Code and Codex that works with any model — exploded to 4.6 million weekly active users, 13 million monthly actives, and roughly $40M in annualized revenue. In this episode of The Lightcone, @harjtaggar, @snowmaker, and @sdianahu talk with Jay V (@jayair), OpenCode’s CEO, about what’s driving this wild growth, the Anthropic clampdown that inadvertently fueled it, and the almost 20 year founder journey that led him here. 00:44 — OpenCode’s Explosive Growth 01:16 — 20x Growth, 13M Users, and 7 Trillion Tokens 03:39 — The Anthropic Controversy That Changed Everything 05:43 — Bringing AI Coding Agents to the World 06:39 — When Open Source Models Became Good Enough 08:56 — What Millions of Developers Are Actually Using 13:31 — Why OpenCode Is Huge Outside the US 15:27 — Why Fortune 500 Companies Choose OpenCode 16:36 — The Economics of AI Tokens 20:02 — How Enterprises Are Using Coding Agents 22:58 — AI’s New Unit Economics 24:56 — Why Model Choice Matters 29:55 — The Product Decisions Behind OpenCode 34:21 — A 16-Year Overnight Success 41:16 — Why Jay Never Gave Up