Claude Opus 5 vs Gemini 4 vs GPT-6 Astra vs Grok 4.6
I handed the same unfinished drawing to four different AI models and said "be creative."
Rumoured Gemini 4 checkpoint is inside Arena.
four completely different pandas came out. and I genuinely can't pick a favorite ๐
Claude Opus 5 vs Gemini 4 vs GPT-6 Astra vs Grok 4.6
I handed the same unfinished drawing to four different AI models and said "be creative."
Rumoured Gemini 4 checkpoint is inside Arena.
four completely different pandas came out. and I genuinely can't pick a favorite ๐
Claude Opus 5 vs Gemini 4 vs GPT-6 Astra vs Grok 4.6
I handed the same unfinished drawing to four different AI models and said "be creative."
Rumoured Gemini 4 checkpoint is inside Arena.
four completely different pandas came out. and I genuinely can't pick a favorite ๐
This Indian app is making most of its money from Americans. I haven't seen that before.
70% of Pocket FM's revenue comes from the US, an Indian audio series platform where 200M+ listeners unlock 10 minute episodes with coins instead of a subscription.
US listeners spend 135 minutes a day on it, more than TikTok. $500M ARR, more than double last year.
And today they launched Sherpa, an AI writing partner trained on 100M+ hours of listener data to help writers build stronger stories, characters, and cliffhangers.
Introducing Sherpa: the most advanced fiction writing AI
We accelerated from $250M in ARR to $500M because Sherpa helped increase content production by 1200% in 1 year
Sherpa was trained on 5.5B hours of playtime with minute by minute dynamic retention data.
550K+ creators have produced 2.6M hours of content annualised using it
Pocket FM is like Netflix for audio-only dramas, with our own pool of one-person studios.
10% of eligible writers on Pocket FM make >$200K
One blockbuster produced >$100M in revenue
3 writers have become millionaires in <2 yrs
We built Sherpa to enable anyone to make >$1M by writing world-class fiction stories:
1. The Idea: Drop a 1-2 sentence concept. Sherpa interrogates it like a veteran editor on tension, stakes, and psychology
2. World & Characters: It builds out the complete lore, tone, and character psychologies
3. Sub-Plot planning: Breaks the premise into arcs, arcs into episodes, and episodes into scenes
4. Scene-by-Scene Generation: Outlines and drafts entire episodes, with you able to steer, rewrite, or override anytime
5. Editorial Review: Stress-tests every draft for pacing, engagement drop-offs, prose, and coherence before it locks
6. One-Tap Production: Pick a voice, convert to audio drama, and publish directly to Pocket FMโs millions of listeners
7. Global Scale & Monetization: Revenue-share on performance, with automatic localization so you earn across international markets
Test Sherpa for free here: https://t.co/R39M5o0Miz
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Generic LLMs fail at serialized fiction because they lack a long-horizon narrative reward function.
Sherpa solves this through three core technical leaps:
1. Narrative World Model (State Tracking & Retrieval): Context windows degrade over long runs. Sherpa constructs an evolving semantic knowledge graph tracking character states, secrets, and plot dependencies. High-speed retrieval surfaces exact context on demand, maintaining zero continuity decay across hundreds of episodes
2. Hierarchical Story Planner: When writing a 500-episode story like Naruto, you need to plan 100s of sub plots. Rather than generating linearly, Sherpa decomposes narrative across discrete levels: season -> arc -> sequence -> episode -> scene.
Rather than generating everything upfront, like a generic LLM, Sherpa uses progressive planning and dynamic replanning. As the story evolves, it identifies what changed, traces the downstream impact, and replans only the affected parts.
3. Prose Engine (Trained on series' retention data): LLMs write robotically, but serial fiction needs emotion, tension, pacing, and dialogue that sounds like real people.
Sherpa's Prose Engine was designed specifically for storytelling. It was built on 1B+ tokens of Pocket's own stories, trained by learning from what listeners engage with, where they drop off, and what keeps them hooked.
Feedback is taken from specialized evaluator models that measure every scene against a 40-item checklist. (Evaluator models were benchmarked against human reviewers and matched them 80โ90% of the time.)
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Owning distribution and creation puts us in a very unique spot.
More shows -> More data -> Sherpa becomes better -> more creator success -> more creators -> more shows
Pocket FM has already seen one $100M IP. I believe Sherpa will soon lead to dozens of single-person studios creating billion-dollar shows.
Most people are scared of AI but I think it'll unlock more human creativity, help creators earn more, and bring the next great IPs to life. This will create millions of jobs and new income streams.
PS. I share more in-depth insights on โAI toolsโ and their future developments here.
Join over 35K+ readers in the AI Toast community for free:
https://t.co/QD01SWh7FP
Gemini 4 Pro hiding in Arena as โgemini-3.8-flashโ ๐
gave it this task:
make an animated SVG of a peacock riding a bike
this is what it made ๐ญ
if this really is Gemini 4 Pro, Google has been cooking.