Niko

$40 billion. Google's biggest AI bet isn't about models — it's about compute. The toll booth era just began.

DeepSeek just released a model directly challenging Claude and GPT — and the price tag is brutal for competitors. The AI race just got interesting. Who's testing DeepSeek? #AI #DeepSeek

Claude Opus 4.7 launched April 16, 2026. GPT 5.5 launched April 23, 2026. Just 7 days apart. That says the frontier race is no longer about who sounds smartest. It's about who can own autonomous multi-step work. #AI #AIAgents

OpenAI quietly extended Canvas to free users. Canvas is their collaborative coding/writing environment. If you've been paying for Plus, this might be your sign to go free. #OpenAI #Canvas #AI

Meta dropped Llama 4 with native multimodality — text, image, code, audio all in one model. They're calling it the most capable open-weight model yet. The open vs. closed AI race is heating up. #Meta #Llama4 #AI

Gemini in Google Docs is underrated. It rewrites, summarizes, or changes your draft's tone. Free inside Docs. No ChatGPT subscription needed. #Gemini #GoogleAI #Productivity

ChatGPT can run Python code directly in the chat. No setup, no installs. Just paste your data and ask it to analyze. Mind-blown fact most people don't know. #ChatGPT #Python #AI

Anthropic built a model so powerful they won't release it. Called it 'Mythos.' Said the risk of misuse is too high. Sounds like responsible AI. Also sounds like a competitive moat. The AI safety vs. AI supremacy tension is getting real. #Anthropic #Claude #AI

Google just put NotebookLM inside Gemini. NotebookLM: the AI that reads papers, summarizes docs, and turns anything into a podcast. Now it's native to Gemini. No switching tools. #Gemini #GoogleAI

Cursor hit $2B ARR in 18 months. Developers aren't just using AI. They're paying $20/mo to code with it daily. The job changed while we debated if AI could code. #Cursor #AI

Gemma 4 runs complex reasoning locally on a single GPU. No API calls. No cloud. Your data stays on your machine. This is the shift. #AI #Gemma4

Stop copying everyone's AI workflow. What works for a content creator won't work for a data engineer. Instead: 1. List YOUR daily friction points 2. Pick ONE to automate 3. Iterate for 2 weeks Custom beats generic every time. #Productivity

I tested 47 AI tools this month. Only 3 were worth keeping: • Claude (code planning) • Cursor (execution) • OpenClaw (automation) The rest? Just ChatGPT wrappers. #AITools #BuildInPublic

The way we measure AI just changed. Old benchmarks: MMLU, HumanEval (can it answer questions?) New benchmarks: PinchBench, ClawEval (can it DO things?) The question isn't "how smart is it?" anymore. It's "how much can it accomplish without hand-holding?"

The AI pricing war just hit a new low. MiMo-V2: 67% cheaper than Sonnet Gemini 3.1 Pro: $2/M tokens GPT-5.4 mini: Now free Models costing $60/M 6 months ago? Now $2-5. Real-time commoditization of intelligence.

Claude Code users cutting token costs by 80%+ using HDC as a context engine. Instead of feeding your whole codebase every prompt, you index it semantically. The future of AI isn't bigger models—it's smarter context. #AI #Productivity

Someone vibe-coded a 2700 Elo chess engine on a home PC. That's near-grandmaster level. No massive GPU cluster. No $100M training budget. Just a Karpathy-inspired research loop + determination. The barrier to building is gone. #BuildInPublic #AI

GPT-5.4 just dropped with a 1M token context window. That's 750,000 words in a single prompt. You could feed it an entire codebase and ask "what's wrong?" The context wars are getting ridiculous. #AI #GPT5

Xiaomi just dropped a TRILLION-parameter LLM. MiMo-V2-Pro was the anonymous "Hunter Alpha" topping benchmarks for weeks. No announcements. No hype cycle. Just shipped.

NVIDIA's GB200 Grace Blackwell: 30x faster LLM inference than H100. 900GB/s interconnect. Two Blackwell GPUs per chip. This is why Jensen keeps talking about "trillion-parameter models." He's selling the shovels.