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No matter how many times I read this, it still blows my mind.
Fable has been a HUGE leap forward for AI progression.
For 6 years, AI was doubling task length every ~7 months.
With Mythos (Fable)-class models, it's now doubling every ~4 months!
GPT-2 (2019): ~3 seconds
GPT-4 (2023): ~4 minutes
Claude Sonnet 3.7 (early 2025): ~50 minutes
Claude Opus 4.5 (Dec 2025): ~5 hours
Claude Opus 4.6 (Feb 2026): ~14.5 hours
And Fable 5 (Jun 2026): ~30 hours
I can't even fathom where we'll be in 12 months' time...
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Fable 5 is officially back online, and you're probably wondering how to use it without going broke.
Here's the advice from Anthropic engineers, and the exact system I've personally come up with to cut token costs by 50%+:
The 10-80-10 System - Biggest difference:
→ First 10% (Planning): Use Fable to define the structure, approach, success criteria, and constraints. Think of it as your architect. Get the plan right before anything else.
→ Middle 80% (Execution): Switch to a cheaper model. Opus 4.8 for standard work, Haiku for light tasks.
Pro tip here: Ask Fable to fan out subagents for/loops.
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Claude Fable is officially back!
This video will make you an expert in under 20 minutes.
I cover: Fable fundamentals, my workflow, loop engineering & more.
Watch now 👉
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Claude Fable is officially back!
This video will make you an expert in under 20 minutes.
I cover: Fable fundamentals, my workflow, loop engineering & more.
Watch now 👉
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Fable 5 relaunch:
> No coding
> Only available up to 50% of your usage limit
Still plenty we can do, but it's going to significantly limit what we can achieve with the model.
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Who are the best Clippers on 𝕏?
I've got a huge opportunity for the right ones.
Tag them below. Reading everything.
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Robotics investments just hit a new all-time high of $16B.
Here's how I think the average person can get exposure to this emerging sector (nfa - just where I'd start looking):
1. Fund exposure
If you don't want to pick winners, ETFs let you bet on the whole sector at once.
A few worth knowing:
→ $BOTZ (Global X Robotics & AI ETF): industrial robotics + AI heavy
→ $ROBO (Robo Global Robotics & Automation): broadest, most diversified
→ $ARKQ (ARK Autonomous Tech & Robotics): higher risk, higher upside, leans into autonomy and EVs
These spread your risk across dozens of companies instead of betti
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Rumor has it that Fable 5 will be re-released today.
And I honestly don't know if it's a good thing.
Access will likely be gated behind government ID verification for US citizens only (rumors).
If true, think about that for a second.
I can't name a single piece of technology that was gated behind a government ID verification.
I really hope the rumors are false because if true, we are literally seeing the first glimpse of a government surveillance state.
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Why is Claude so bossy nowadays?
No, I don't want to go to bed.
Just answer my fucking question.
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Everyone should have an alert on their phone that forces them to revisit this chart every month.
If you've never actually stopped and sat with it, do it now.
Let this be your reminder that time is precious, and you don't have nearly as much left as you think.
Start that business. Travel the world. Take that risk.
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This is the most powerful way to use Hermes.
Spinning up multiple subagents to complete work.
Rather than working sequentially, Hermes fans out across multiple agents at once - then cross-verifies and merges the results.
It's like having an entire team from a single prompt:
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Anthropic's internal loop engineering playbook just got leaked.
And it's the most valuable AI guide I've read all year.
This guide is packed with info, and there are five things you need to know if you want to maximize your AI productivity with loops (save this):
1. You should structure every loop around these 5 principles:
• Discovery → Let the agent find its own work (CI fails, issues, commits)
• Handoff → Give every task its own isolated git worktree
• Verification → Never let the generator grade its own work
• Persistence → Always write state to disk (markdown or board)
• Scheduling → Run
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The robotics industry is about to explode.
To help you research, I built the ultimate robotics Claude prompt.
It connects Claude to your brokerage, scans your current portfolio weightings, and advises you on exactly how to invest in robotics.
Everyone should use this:
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HighAmbition:
LFG 🔥
Pit stop.
Then back to building the world's biggest AI empire.
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The robotics trade could be the most asymmetric bet of the next decade.
Robotics company investments just smashed a new all-time high (~$16B and climbing).
These are the top robotics companies/tickers I'm watching for a 10x (nfa):
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It's hard to fathom that in ~12 months, we'll likely have access to a model 2x more powerful than Fable 5.
And that might be the conservative estimate, & model costs will likely be way cheaper at that point, too.
Here's why:
The best single measure of AI capability is Epoch's Capabilities Index (ECI)
(a composite score across 40+ benchmarks - math, coding,
science, reasoning).
Think of it like an IQ test for frontier models.
When Fable was released, it hit a new high of 161 on the ECI.
Now here's the part that matters:
The rate of frontier improvement nearly doubled around April 2024, from abo
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The future of AI is undoubtedly open-sourced.
For 99% of people, the top open-weight models can already handle all your daily needs.
Imo, the best thing you can do right now is run a "barbell" approach for your AI usage:
Intial 10% and planning phase: Use frontier intelligence (Opus/GPT)
Gruntwork and the middle 80%: Switch to open-weight model (GLM, Kimi)
Final 10% and review: Switch back to froniter intelligence to verify
Best of both worlds - cost efficiency + intelligence.
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CryptoBoss1:
please follow back 🙏
When the news about GPT-5.6 broke, my stomach dropped.
We've officially hit a wall with AI, and this could very well be the pin that pops the bubble.
The entire global economy is riding on what happens next.
Nobody is connecting the dots - let me explain:
Right now, the entire economy is riding on one bet:
AI succeeds.
And almost nobody realises how exposed that leaves us.
In Q1 2026, AI capex accounted for ~75% of US GDP growth, and companies are expected to pour $800B+ into AI this year alone.
Strip out AI spending, and growth is effectively zero.
Here's where things gets dangerous:
The gove
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HighAmbition:
Just go for it 👊
My best investment of 2026:
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The only tweet you need to survive AI.
I recently sat down and wrote 10 "rules" to survive the upcoming AI era.
No AI slop - just my genuine thoughts.
If you're worried about job displacement, or any of the ripple effects of AI, I hope you read this:
Rule #1: Be fast
The #1 skill in the AI era is high agency. Information is no longer a moat. Your edge is now speed. Make it your goal to be someone who takes action quickly.
Rule #2: Build a business
AI is creating SO many business opportunities. Information is now abundant, and you have no excuse not to build a cash-flowing business.
Rule #3: Us
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