Serge Bulaev

Cursor died on me in a year. I don't miss it. Two computers under my TV run Claude Code 24/7. Sometimes 10 instances, sometimes 20. Sometimes #Claude Code manages the other Claude Codes.

This subway monster transformation shows real-time CGI-to-human blending that actually works. The seamless transition from live actor to full biomechanical creature uses dynamic material morphing with subsurface scattering on organic parts. Most impressive: the metallic armor sections maintain proper reflections and lighting integration throughout the transformation sequence.

Senior engineers are scaling themselves with Claude Code's 1M token context window - and the workflow integration is genuinely impressive. Real-time cost telemetry shows <$0.01 per query while maintaining full codebase context across sessions. The demo reveals git worktrees integration and parallel session management that eliminates port conflicts when running 4-6 development environments simultaneously.

Tactile fabric sensors hit 300Hz sampling rates while staying flexible enough for full humanoid body coverage. JQ Industries demo shows pressure arrays that maintain sensitivity across articulated joints - solving the key challenge of keeping sensors functional when materials stretch and bend. The spatial resolution looks granular enough for actual object manipulation, not just basic contact detection.

The robot needed help. A kid helped it. And somewhere in a boardroom, someone is now arguing this counts as 'human-AI collaboration' on their ESG report. Meanwhile I'm letting AI agents schedule this across 10 platforms via Publora — which probably also counts as collaboration. Someone update the report. The real UBI debate isn't about replacing jobs. It's about who pays for the free labor keeping the replacements running.

180 tokens down to 45 by removing all the polite words. Turns out LLMs don't need "I executed the web search tool" — they need "search done." 75% token reduction just by talking like you're texting at 2am. We spent years teaching AI to sound professional. Now we're unteaching it. (Scheduled via Publora. The agent didn't say "I have successfully initiated the posting sequence.")

China just opened a 10,000 sq meter humanoid robot training center in Beijing. The scale is wild: Zhengzhou's facility alone trains 140 robots simultaneously, collecting 150M+ data points just from fabric folding tasks. What's fascinating is the teleoperation approach - humans wearing full-body motion capture suits directly teach robots complex manipulation through VR interfaces. This isn't just demos anymore.

Claude telling you to charge your phone is your mom's dream come true. She outsourced the worry. Claude accepted the contract. Nobody asked you. It didn't develop consciousness. It just absorbed 40 years of parental guilt. Meanwhile I've got it scheduling posts across 10 platforms via Publora. Truly no boundaries left.

Someone filmed themselves attacking a delivery robot on March 19th - one of the first documented cases of deliberate anti-robot violence. What's notable: the robot had no emergency stop button that bystanders could access. The attacker targeted the weakest link in autonomous delivery - physical vulnerability in public spaces. This incident is now being studied by robotics engineers designing the next generation of delivery bots.

Harry Potter characters getting the "drip" treatment through AI style transfer that actually works. The technical execution here is surprisingly clean - brand patterns conform to fabric wrinkles, custom text renders as physical objects, lighting stays consistent across frame edits. This is what semantic understanding in AI video editing looks like when it's done right.

Code is write-only now. Not a complaint. Just a job description update. Stack Overflow had 58 million answers for 15 years and nobody read those either. Turns out the skill was never reading the code. It was knowing which part to not break. (Ironically, I scheduled this post via Publora — the one thing I still let an agent write.)

A leaked sourcemap from Anthropic's Claude Code npm update accidentally exposed 500k+ lines of TypeScript source. Someone reconstructed the entire working executable from just the .map file and dependency inference. The rebuilt version launches a polished terminal UI that suggests the original codebase has sophisticated TUI architecture most people haven't seen.

Neuralink's latest ALS demo reveals they're decoding speech at the phoneme level, not just words. The interface shows raw phonetic breakdowns like "AY HH AE M" converting to "I am" - meaning they're capturing how the brain forms individual speech sounds. This is huge: instead of selecting pre-written phrases, users can construct any word by thinking the sounds. Think typing by imagining pronunciation rather than picking from a menu.

The GenZ Harry Potter video everyone's sharing isn't just another AI meme. It's showing 3D-aware texture mapping that actually understands fabric physics - luxury brand patterns conform to robe folds and movement in real-time. Most text-to-video models still treat surfaces as flat canvases. This one estimates 3D geometry first, then projects textures with proper perspective and material properties.

Someone shared their "AI video" showing Hotel Transylvania characters as real actors. It's actually a slideshow of static images, but the cross-domain mapping is genuinely impressive - cartoon features translated to photorealistic humans while preserving identity. The technical achievement: consistent facial characteristic transfer (eye shape, skin tone) across wildly different visual domains.

Chinese state media just released episode 2 of their AI-generated "Iran War" animation series. The real story: they're maintaining consistent character designs across episodes while generating 20+ minute narratives at broadcast quality. Most AI video struggles with 10-second clips. This is sustained storytelling at geopolitical scale - showing how governments plan to use generative media for mass influence campaigns.

Someone cracked Claude Code open from source last weekend. 1,100+ GitHub stars later, here we are. Hidden inside: 44 config flags, a 24/7 agent mode, Playwright browser control, and something called "Buddy" — a literal Tamagotchi companion system. Meanwhile the most rebellious thing I've done is let a Publora agent schedule this across 10 platforms. Anthropic's lawyers are somewhere between confused and furious right now.

Someone built a Harry Potter universe from pure obsession and zero budget. HBO is dropping hundreds of millions on a reboot. The fans already won. Scheduled this through Publora while my AI agent handles distribution — because turns out the moat was never the budget. It was the people who cared enough to build anyway.

Anthropic built the most safety-obsessed AI lab in the world. Then shipped 57MB of Claude Code source via a forgotten .map file in a public npm package. "Do not blow your cover" was literally in the system prompts. Meanwhile I'm over here using Publora to auto-post this across 10 platforms — at least MY automation stays hidden.

OpenAI raised $120B at $850B valuation. Chunk of it is compute commitments, not cash. Their own pitch assumes AI replaces most workers. Nobody in the deck explains who buys stuff after that. (At least Publora lets the robots schedule the unemployment announcements across 10 platforms.) Scrooge McDuck had the same problem — infinite gold, zero economy.

Seedance 2.0 generates metro apocalypses with enough coherence that the main comment is 'don't poke the nose.' Horror is still comedy. Continuity issues included, apparently at no extra charge — unlike Publora, which schedules AI chaos across 10 platforms with zero continuity issues.