PLEASE NOTE:
This page is no longer the alt of @IfindRetards. I have delegated post authority to my good and trusted friend Liberacrat @ViralVideos. The page has not been sold, it's just better someone uses it than it going to waste. Stay tuned for some of his great content.
Introducing Fish Agent: a no-code platform to build custom AI voice agents that can make & take calls for you (median deploy time: 32s).
Claim your free custom voice agent: https://t.co/UrMR2mwfh1
With Fish Agent, you can:
> Build any voice agent by simply describing it.
> Get a phone number or connect your own.
> Power your agent with leading LLMs or integrate your custom LLM.
> Connect tools, webhooks, knowledge, and more with full API access.
> Enable natural, interruption-aware conversations with Fish Live 3 full-duplex voice model.
From a personal AI assistant to a receptionist or customer support, build any voice agent you need.
If you're an enterprise, book a demo and get a dedicated engineer to build with Fish: https://t.co/i4Kd9a4OlU
As part of the launch, we're giving away Fish agent platform credits for the next 48hrs. Just like, retweet , bookmark and reply "Live 3" to get yours.
The Santos rule is that if you're going to be a mess then you better deliver like I do.
DUI, chopped, and almost losing Florida can't work at the same time.🫠
Power is an ugly mess, like girly this is Florida there are procedures you can have 💅🏻
Introducing @FishAudio Live 3: a full-duplex voice model that listens, says "mm-hmm," and knows when to shut up.
Enterprise? Book a demo for your free custom agent: https://t.co/2kyRhcFMxM
Reply with your use case - we'll build it free for the first 1,000 people.
How on earth did Zelenskyy find the time needed to negotiate a $43M real estate purchase, while in the midst of a war? Seems like he has all his priorities in order.
Election Fraud is happening in Germany: 3 different videos have now surfaced online that show mail-in ballots in the northeastern state of Mecklenburg-Vorpommern missing the Alternative for Germany (AfD), the chief opposition party.
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 FM’s 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 80–90% 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.
We just delivered BEAR SPRAY to the White College Girls who were DRAGGED off their porch by 40+ BLACK THUGS in York PA!!! 😲
Still NO ARRESTS by incompetent York Police!!!!
I spoke to the FATHER who is FURIOUS!!! 😡😡
Today we’re introducing flow, micro1’s next-generation data platform for turning human expertise into measurable capability gains.
At the core of flow are Realms, micro1’s real-world RL environments where experts establish what strong performance looks like. flow-gen models expand human judgment into new environments, rubrics, variations, and edge cases, while flow-qc models evaluate performance, identify the highest-value failures, and route them back to experts for review.
Each cycle produces a stronger training signal and a measurable gain in capability. Those gains compound across frontier models, enterprise agents through Cortex, and robotics, while improving the suite of data generation models recursively.
We’re moving beyond producing data to delivering abundant & predictable units of intelligence improvement.
Macron’s lawyer Rémi Lorrain is already prepping him for interrogation. The questions are about McKinsey’s role in the 2017 campaign, unpaid consultants first, then tens of millions in state contracts after he won. Immunity ends in May 2027. After that, the probe doesn’t need his permission.