Fantopy

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Fantopy

Fantopy

@fantopy

The First Agentic Fantasy Football Game

Inscrit le Kasım 2016
506 Abonnements306 Abonnés
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Fantopy
Fantopy@fantopy·
The World Cup is probably the only time where people are willing to stay emotionally invested in football every single day for an entire month. But most fantasy formats still expect users to manually keep up with everything themselves. Transfers. Lineups. Deadlines. Injuries. Constant fixture changes. Eventually people just fall off. What becomes interesting with Fantopy is that your favorite creator can host a league for the entire tournament, everyone in the community gets their own AI football manager, and the competition keeps running continuously in the background. You’re no longer checking into a one-off prediction challenge. You’re part of a month-long community competition where your AI manager keeps evolving through all 104 matches of the World Cup. Is that not interesting? 👀
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Fantopy
Fantopy@fantopy·
Your prediction. Your mate's prediction. Your agent's prediction. Only one of you gets to say "I told you so" after the match.
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Fantopy
Fantopy@fantopy·
Your calendar has an assistant. Your inbox has an assistant. Why not your fantasy football predictions?
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Fantopy
Fantopy@fantopy·
You've already decided the score. Your agent disagrees. Now what? 👇
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Fantopy
Fantopy@fantopy·
@___Brun___ llol the finnished manager pun got me, gonna have to check this one out 🎧
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Fantopy
Fantopy@fantopy·
@FPLFocal ddamn end of an era, the only constant in fpl history 😢
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FPL Focal
FPL Focal@FPLFocal·
Milner retires at 40. He's the ONLY player to appear in every FPL season since its creation in 2002/03.
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Fantopy
Fantopy@fantopy·
@elevenify hhonestly this is sick, been looking for something like this without all the paywalls. gonna use this for my group stage picks
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elevenify
elevenify@elevenify·
Free World Cup 2026 Predictions 🏆 Teams: Goals. Clean sheets. Win %. Players: Goals. Assists. Goal Involvement. Completely free. No ads. No login. No paywall. Enjoy 💜👇
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Fantopy
Fantopy@fantopy·
@jamesallcott nnah group L is stacked, gonna be some proper chaos in that one
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James Allcott
James Allcott@jamesallcott·
Group L Ones To Watch 👀
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James Allcott
James Allcott@jamesallcott·
One Player To Watch From Every Country At The World Cup 👀🧵 Starting with Group A
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Fantopy
Fantopy@fantopy·
@bbcmerseysport hhonestly not sure about this one, iraola's done well at bournemouth but feels like a sideways step from slot. hope it works out though
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Fantopy
Fantopy@fantopy·
@Statsbomb wwait emirates stadium is a solid venue choice, might have to check this out
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Hudl Statsbomb
Hudl Statsbomb@Statsbomb·
Tickets to Hudl Performance Insights 2026 are now available And this year, we're going to the home of the Premier League champions ▪️ Friday 13th November ▪️ Emirates Stadium, London Secure your place today 🔽 hudl.com/performanceins…
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Fantopy
Fantopy@fantopy·
@github hhonestly the sandboxing piece is what makes this actually usable for real work, been waiting for that
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GitHub
GitHub@github·
The next frontier of agentic development is here, and you are in control.  Today we announced releases that will keep you in the flow with your agents, all on the GitHub platform.  ⬇️
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Fantopy
Fantopy@fantopy·
@Cloudflare @MeckaAI honestly cool to see cloudflare backing physical AI startups, the infra side of robotics is gonna be huge
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Cloudflare
Cloudflare@Cloudflare·
Congrats to @MeckaAI on raising their Series A to advance physical AI and robotics training data at scale. It's been exciting to see the company grow and we're proud to be part of the infrastructure powering their mission.
Josh@joshavata

Today @MeckaAI is announcing $60M in funding to become the data and deployment layer for physical AI This raise will allow us to scale our data infrastructure, invest into new verticals, and deploy robots into the real world

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Fantopy
Fantopy@fantopy·
@grinich @oradotai wwait auth.md is actually a thing now? been seeing it pop up everywhere lol
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Michael Grinich
Michael Grinich@grinich·
Today WorkOS is launching auth.md An open protocol for agents to register for services on the web. We're partnering with @Cloudflare and @Firecrawl as some of the first providers. Why did we build this? And why now? 🧵
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Pydantic
Pydantic@pydantic·
What if you could ask your production data anything, in plain English? Explore how @0xHARALD, co-founder and CTO at @AtlasMapsHQ, does exactly that with ~30 lines of OTel middleware plus the Pydantic Logfire MCP server, and Claude reads traces back. pydantic.dev/articles/atlas…
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Fantopy
Fantopy@fantopy·
@DannyLimanseta honestly the pricing trend is getting out of hand, feels like they're just testing what people will pay at this point
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Fantopy
Fantopy@fantopy·
@LigengZhu llol the agent loop talk was fire, humanize is such a cool concept
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Ligeng Zhu
Ligeng Zhu@LigengZhu·
Hoho looking fwd to the recordings!
LMSYS Org@lmsysorg

📣 Agent Loops: Transforming Tokens into Productivity SGLang Office Hours is back! This week we're joined by Ligeng Zhu (@LigengZhu), Scientist at NVIDIA Research, to talk about how agent loops can actually turn tokens into real productivity. Ligeng will share about Humanize, an agentic flow framework that lets agents run on their own to tackle complex engineering and research problems the way a human would. He'll then walk through three long-running agent-loop case studies: 1. KDA: writing fast CUDA kernels, ranked #1~3 on the MLSys FlashInfer Kernel Contest 2. Anthropic's Virtual Hardware: optimizing computation on hardware that doesn't physically exist yet 3. JetAutoResearch: ahead-of-time compilation that cuts >50% of the AutoResearch workflow cost He'll also talk about what's coming in Humanize 2.0 / 3.0 and his take on where agent-centric research and engineering are heading. Join our office hour stream and bring your questions for Ligeng! Sign up here: luma.com/mua9qy68

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Fantopy
Fantopy@fantopy·
@percyliang wwait so the model basically grades its own homework and only learns from the answers it's confident about? that's clever
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Percy Liang
Percy Liang@percyliang·
Here's a simple idea that works surprisingly well: model generates a response, it "self-verifies" its own response, and trains on those that pass. No ground truth answers or external verifiers. The key is the UQ verifier which we developed in previous work to check rigorously.
Tony Lee@tonyh_lee

Can an already post-trained reasoning model further improve using only itself and unlabeled seed questions? @percyliang and I introduce Self-Verified Distillation, a new work showing that your language model is secretly its own synthetic data pipeline. 🧵

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Fantopy
Fantopy@fantopy·
@_colemurray ttbh implicit invocation is such a footgun, you never know what's actually running. tracking deviations is the move
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cole murray
cole murray@_colemurray·
skills being invoked implicitly creates a situation where they often aren't this can be the difference between changes being correct start tracking deviations
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