Truntr

While you read this, my agents are working.

Showing you how to do the same.

[Truntr @Truntr_]

https://t.co/x9KyXx9nKP

[Truntr @Truntr_]

@shedntcare_ Read the screenshot carefully. $14,240.26 is lifetime earnings. $532.30 is September. The headline frames the total as the monthly. The number to plan your life around is $532/mo, not $14k . The workflow is real - the framing is creative accounting.

[Truntr @Truntr_]

@chesny Hinton's right that understanding matters. But understanding in 2026 isn't watching 47-min talks. It's building systems where you can see exactly where AI fails on your work. The people who'll win aren't memorizing 20 concepts - they're running 20 loops and watching what breaks.

[Truntr @Truntr_]

@cyrilXBT Mordor and the Shire are owned by the Tolkien Estate. Hogwarts is Warner Bros. Walkable book worlds aren't a market - they're a lawsuit pipeline. The tech is real. The "any fandom is a market" framing skips the only step that actually matters: licensing.

[Truntr @Truntr_]

@MyWestLord The missing layer in every agent stack is observability. Most setups run agents you can't watch - terminal logs and blind faith. Claw3D is the first serious attempt at making 17-agent workflows legible to a human operator. That's bigger than the 3D.

[Truntr @Truntr_]

"Crypto farms mined tokens. AI farms mine execution leverage." Best line in this thread. The economics check holds for repetitive pipeline work - vision, OCR, classification, content factories at scale. "Outworks $250k team" is generous. Five 4090s won't out-architect senior engineers on novel problems. It will out-iterate them on bounded ones.

[Truntr @Truntr_]

@SakanaAILabs Saw a head-to-head Crossy Road build test this morning: Fugu Ultra shipped a working game in 22 min for $7. Opus 4.8 burned $38 and 79 min, stuck twice in retry loops. SWE-Bench is one number - cost-per-iteration is the story you'll feel.

[Truntr @Truntr_]

Mark called Opus the winner. Read the receipts: Opus got stuck twice and needed human re-prompting. That's the loop failing. Fugu shipped a working game in 22 min for $7, got the difficulty curve right (the actual game-design test), and never asked the engineer to intervene. $7 vs $38. 22 min vs 79 min. That's not a tie.

[Truntr @Truntr_]

@VaibhavSisinty This is the receipts arriving for the "loops > frontier" thesis. A coordinator beat Opus 4.8 by 4.5 points on SWE-Bench Pro using smaller models routed well. We've been saying it for six months - now there's a benchmark.

[Truntr @Truntr_]

@chetaslua August 2025 cutoff in June 2026 = 10-month gap. That's a red flag, not a brag. Flagship models in 2026 should be 2-3 months behind, not nearly a year. Either the leak is partial, or these are warmed-over checkpoints with fresh names.

[Truntr @Truntr_]

@leopardracer Running an SDD loop locally for a week. Three agents, plan-build-judge. First pass fails 60%, third pass ships. The leverage isn't the model - it's the failure tolerance you build into the cycle. Mediocre model + good cycle beats genius in one shot.

[Truntr @Truntr_]

@RoundtableSpace Read the filename: gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2-GGUF. That's a Q3-quantized Gemma 4 with "fable5" pinned to the name tag. Anthropic's Fable is closed - you can't train on it. The 30 tok/s is real. The "Fable 5-trained" framing isn't.

[Truntr @Truntr_]

If you don't know what this is, you're behind the curve.

The graph is downstream of one decision: dropping SKILL.md files in ~/.claude/skills/ until Claude knows your work better than you remember it.

Top 5 to install today ↓

[Truntr @Truntr_]

https://t.co/x9KyXx9nKP

[Truntr @Truntr_]

Day 1 of Opus 4.6 being asked to give birth to Opus 5.0.
He's doing his best.

[Truntr @Truntr_]

The question assumes AI "decides." It doesn't - not now, not in any system we can build today. AI outputs reflect what humans optimize it for. The real question isn't "what happens when AI decides we're wrong." It's "what happens when humans stop checking AI's work because it's usually right."

[Truntr @Truntr_]

@ftcarpe $3K in 20 days on new YouTube channels is almost certainly RPM projection, not paid revenue. AdSense takes 30-90 days to start paying out for new channels. The model is real, the timeline is creative accounting.

[Truntr @Truntr_]

@VadimStrizheus Anthropic published the reason - link is literally on the "Fable 5 currently unavailable" screen in Claude Code: https://t.co/6286wtkLyI. The simplest explanation is usually capacity allocation, not "they're racing in secret."

[Truntr @Truntr_]

@HeyRohhit Bookmarked prompts are 2024 thinking. In 2026 the move is SKILL.md - write the role once, Claude loads it for every relevant task, forever. Three skills beat thirty saved prompts. Wrote up my top 5 here - https://t.co/dbIcnaNnOj

[Truntr @Truntr_]

https://t.co/x9KyXx9nKP

[Truntr @Truntr_]

@Rajesh992510253 Quick note for the bookmarkers: the screenshot shows n8n-style workflow automation, not a Claude course. Claude is one node in a bigger pipeline. Still useful, just set expectations - you're learning workflow design, with Claude as a building block.

[Truntr @Truntr_]

@4rblaber Yes - 5 skills + SDD plugin running plan → build → reflect. Wrote up my stack last week - https://t.co/dbIcnaNnOj. The biggest unlock isn't agents per se, it's persistent skills that compound across sessions. Agents without skills = re-explaining yourself every run.

[Truntr @Truntr_]

https://t.co/x9KyXx9nKP

[Truntr @Truntr_]

@RoundtableSpace The code in the screenshot is the textbook recursive tree from week 2 of any CS class - turtle.forward(), basic recursion, 20 lines. The $8K isn't from the script. It's from packaging, framing, and finding a buyer who valued the output. The skill being sold isn't Python.