WAIT is that me in the @pudgypenguins x @opensea hall of penguins next to actual legends😱🫶

let's not forget Asia itself has many more sub-communities than those listed that deserve some love from the @pudgypenguins community team 🐧🌏 @pudgyasia @PudgyHK @PudgyIN @PudgyIndonesia @pudgyjapan @PudgyKorea @pudgymalaysia @pudgyph @PudgySG @PudgyTaiwan @pudgythailand @PudgyVietnam

“Luck comes to those who stir the pot” Playing with all kinds of AI tools, experimenting, trying things I would never know how to or think about doing before. Curious, hoping I just might go somewhere surprising and build something fun and impactful.

Wtf ?

Anthropic posted a FULL GUIDE on how to prompt Fable 5 (Mythos). Claude Fable 5 is not meant to be prompted like any other model. It's meant to run autonomously. Here's exactly how to enable Fable to do work for you with minimal manual intervention: 1. Effort selection Anthropic recommends using High for most tasks and Xhigh only for complex workflows. Low/medium: quick questions, basic research High: default for most work Xhigh: complex builds, multi-step analysis Ultracode: full autonomous orchestration 2. /loop prompting Use /loop prompts to kick Fable off to complete full tasks. /loop <time interval> <goal> 3. Tell it WHY, not just what (context) Fable can't perform on instructions alone. It needs context to make decisions on its own. Anthropic's exact prompting structure: "I'm working on [larger task] for [who it's for]. They need [what the output enables]. With that in mind: [your actual request]." 4. Keep prompts short (instructions) Counterintuitive but critical. Over-engineering your prompts on Fable 5 degrades output. You're constraining a model that would have figured it out on its own. 4. Tell it when to stop and check in during runs "Pause for me only when the work genuinely requires my input: a destructive action, a real scope change, or something only I can provide. Otherwise, keep going and report back when done." 5. Build it a memory system Fable performs best when it can record lessons from its previous loops. Give it a markdown file and this instruction: "Store one lesson per file with a one-line summary at the top. Record corrections and confirmed approaches. Don't save what the repo or chat history already records." The optimal general prompt structure: "Goal: I'm working on [larger task] for [who it's for]. They need [what the output enables]. Request: [your specific ask in one sentence] Output format: [exactly how you want it] Constraints: [what must not happen]." One last thing - your old prompts may actually work against you. Skills and project instructions built for Opus 4.8 may produce worse results on Fable. Bookmark this to actually maximize your Fable workflows.

Mythos is genuinely INSANE for anything really:

best thing a team can do is shutting down their discord because no one uses discord anymore and it's just GMers and people whining about token price

🚨 Anthropic just showed a 27-minute workshop on how to actually do prompts for Claude. Taught by the people who built it. Free. No registration. No paywall. I've seen $300 courses that don't cover what they teach in the first 8 minutes. Watch it and bookmark it now.

Hands down the absolute best Claude Cowork tutorial you’ll watch in under 25 minutes! Made by Tina Huang (@hellotinah), former Meta data scientist turned content creator 👇

Anthropic and OpenAI are both telling engineers to write loops. Not prompts. Not agents. Loops. That is not a coincidence. When the two most important AI labs on the planet independently converge on the same pattern — that is a signal worth paying attention to. Most engineers are still thinking in terms of single calls. Input → model → output. The engineers winning in 2026 think in cycles. Output becomes input. The model evaluates its own work. The loop runs until the result is right. This is the complete breakdown of what loops are, why they matter, and how to build them ↓

I think we are sold out of the 10,000

In 2016, a rare Vaporeon spawned in Central Park. People abandoned cars and sprinted through the park to catch it. For one summer, Pokémon Go turned adults into wildlife.

We all have a price, what's yours?

opened linkedin closed linkedin that's the work today

Greatttt this is gonna take me 100 years

Aww @becca_nfts thanks for the feature 😍🥰

WHOA!!! Team Canada is on FIRE! 🔥🔥🔥 Busy summer ahead

Let’s goooo 🇨🇦🥰

The best tech week event is one that has barely been promoted, has quite the guest list, and in a gorgeous art deco space. It’s tomorrow, and you’ll read about after. While everyone else is talking agentic workflows, we’ll be talking peptides. See you there! 🤫🍸💉