🤯 I created an open-source implementation of @notebooklm! 🤖 Deepseek-V3 API using @openrouter 🎙️ @play_ht TTS using @FAL API 📚 Create AI podcasts on ANY topic 🆓 100% Customizable All this in <50 lines of code! ⭐️ Check out the GitHub repo: git.new/opensource-notebookl…

🔥 Anthropic just released Mythos 5 and Fable 5! Just a few days ago they filed for IPO at a $965 billion valuation. Now they released their most powerful models to the public. 5x revenue growth in 6 months. Seems like they might reach a $1 Trillion IPO. OpenAI should be tensed now!

I discovered you could run sub-agents within Claude Cowork! I'd run sub-agents in Claude Code before, but it's wild that you can spin them up just by mentioning it in the prompt - kicking off multiple sub-tasks in parallel.

🔥 Anthropic may be the fastest company to get near a $1T valuation. But something doesn’t add up: > Google Valuation/Revenue - $4.56T / $402.8B > Meta Valuation/Revenue - $1.61T / $200.97B > Anthropic Valuation/Revenue - $965B / $30B run-rate > Anthropic is valued at ~32x revenue. > Google is at ~11x. > Meta is at ~8x. Is this AI Bubble?

How many Gemini Omni videos can you generate on a $20 plan? I started with a fresh account - no prior usage. One video consumed 33% of 5-hour window limits. That's about 3 videos every 5 hours. It also consumed 2% of weekly limit - which is ~50 videos per week! That's far better than earlier 3 Veo 3.1 videos per day. If you were you only using Pro plan for generating videos: $20 ~ 200 Omni Videos. $0.1 for 10 second high quality and intelligent video models. It's a steal!

Love the fact that Anthropic is displaying full reasoning traces for Claude Opus 4.8! It helps me in two big ways: > I now have something to read rather than waiting for the response or switching to a different window to run another agent. Makes it easy to stay focused on one task at a time. and the next one is super useful > Reading the traces helps me understand the gaps in my prompt and quickly identify if the agent is going in the wrong direction. This reduces a lot of back and forth with the model.

Options for your monthly AI Budget (100M tokens): > GPT-5.5: $3000 > Claude Opus 4.7: $2500 > Gemini 3.5 Flash: $900 And the Chinese options: > DeepSeek V4 Pro: $87 > MiMo-V2.5: $87 DeepSeek recently dropped the price by 75% permanently. 🤯 And now Xiaomi dropped the price by a freaking 99%! Thats 35x cheaper than GPT-5.5 and 17x cheaper than Sonnet! Looks like Chinese labs are flushing market with ultra cheap AI before OpenAI and Anthropic IPOs.

Last week, I conducted AI training for 2 Fortune 500 companies! My brief: Use Copilot since all our employees have licenses. While prepping for the session, I tried my Claude workflows and oh boy - every prompt failed in Copilot! > Copilot failed to create a simple PPTX file > Couldn't use connectors > It couldn't even use context from the Copilot project files > Feels like I've been ported back to GPT-3.5 times! Now, get this - Copilot is the default AI tool for many corporate companies. Execs read about AI tools and their 10x productivity promise, and are pushing their teams hard! But 10x productivity is happening for the teams using Claude/Codex, not Copilot. The Twitter world and the corporate world are miles apart, but they have the same goals.

I wanted to make a post on 6 use cases to Antigravity 2.0! Started testing with few prompts around web design, code refactoring and content creation. And then I gave up. Antigravity 2.0 Gemini 3.5 Flash feels like it is 2 years behind Codex and Claude Code! Negatives > UI look likes a notepad > Very weak in web design tasks > Asking permissions too many times even for pip commands >Wasn’t able to handle simple refactoring tasks Positives > Flash is cheap > Extremely fast (1000 tokens per sec) on Antigravity Overall, Antigravity 2.0 feels crippled due to lack of the frontier model. Will try it again after Gemini 3.5 Pro release!

For two years I told every client the same thing: don't optimize for cost. Just use the flagship model and wait. The price always falls. I was right for two years. This year I was wrong. GPT flagship OUTPUT price, per million tokens: > GPT-4 (Mar '23): $60 > GPT-4 Turbo (Nov '23): $30 > GPT-4o (May '24): $15 > GPT-5 (Aug '25): $10 A 6x collapse in 28 months. "Just wait, it gets cheaper" was the safest advice in tech. Then 2026 flipped it: > GPT-5.4 (Mar): $15 > GPT-5.5 (Apr): $30 The frontier's price has tripled in eight months, back to 2023 levels. OpenAI, the same lab that sold us "intelligence too cheap to meter," has quietly walked it back. DeepSeek is the only one still holding that promise out loud: a 75% cut to a frontier model, made permanent, while everyone else hikes.

🚨 Google just launched Fitbit Air for $99. Everyone's calling it a Whoop killer. But the real story: it's an AI agent platform for your health. 31 data points, sleep, HRV, SpO2, heart rate, all exposed via the new Google Health API. Your wearable just became a tool for your agent. [download unrot app for latest AI news -> unrot.co]

🔥 This is criminally underrated! Automate carousels and literally design asset with Codex Codex can now generates images with GPT Image 2! Just ask Codex to create HTML design scaffold and integrate images 🤯

🤯 In a strange deal - SpaceX made a deal with Anthropic! Elon Musk called Anthropic "misanthropic" 3 months ago. Today, he's handing them all 220,000 GPUs at Colossus 1 - one of the world's largest AI supercomputers. Business beats beef. Every. Single. Time.