Ryan Seamons

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Ryan Seamons

Ryan Seamons

@ryanseamons

COO / Executive Producer @ Latitude | AI x Gaming I turn visionary dreams into reality. Father of 5, Star Wars / LOTR nerd, former LinkedIn

Highland, Utah Katılım Ocak 2009
144 Takip Edilen3K Takipçiler
Ryan Seamons
Ryan Seamons@ryanseamons·
@scaling01 Good, I need more ways to spend ridiculous amounts of compute. 🫠 Can’t wait to see the benchmarks and hope they find a more aligned public name.
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Lisan al Gaib
Lisan al Gaib@scaling01·
Fortune: "Anthropic says: Capybara is a new name for a new tier of model: larger and more intelligent than our Opus model" "Compared to our previous best model, Claude Opus 4.6, Capybara gets dramatically higher scores on tests of software coding, academic reasoning, and cybersecurity, among others,” the company said in the blog."
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Ryan Seamons
Ryan Seamons@ryanseamons·
@sukh_saroy Where have you been all my life? Gotta try this one out. Thanks!
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Sukh Sroay
Sukh Sroay@sukh_saroy·
🚨Breaking: Someone open sourced a home automation platform that runs entirely on your own hardware - and it supports over 1,000 integrations out of the box. It's called Home Assistant. And it's not a smart home app. It's a complete, self-hosted home automation OS - local control, no cloud required, no subscription, no company in the middle reading your data. Here's what it actually does: → Controls lights, locks, cameras, thermostats, sensors, and appliances from one dashboard → 1,000+ integrations: Philips Hue, Google Nest, Apple HomeKit, Zigbee, Z-Wave, MQTT, and more → Automations that run locally - no internet connection required, no latency → Energy monitoring dashboard - track solar production, grid usage, and battery storage in real time → Full mobile app for iOS and Android with location awareness → Works on Raspberry Pi, home server, NAS, or any x86-64 machine with UEFI → Monthly releases - 2026.3 shipped last week Here's the wildest part: Google Home, Amazon Alexa, and Apple HomeKit all route your smart home data through their servers. Home Assistant runs on a Raspberry Pi in your closet. Your automations fire in milliseconds. Your data never leaves your house. Your devices keep working when the cloud goes down - which they will. Amazon discontinued Alexa Classic. Google killed Stadia, Inbox, and a hundred other products. Apple required a HomePod hub. Home Assistant has shipped a new release every single month for over a decade. 85.5K GitHub stars. 37K forks. Still going. 100% Open Source. Apache-2.0 License. (Link in the comments)
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Alex
Alex@mustache_dev·
I have seen lots of comments and some disdain of people saying you can’t achieve good graphics with Threejs, okay, explain this ? 144fps, 4K inside a browser,what’s up ? #gamedev #threejs
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Wise
Wise@trikcode·
No Claude, the project will not take me 2-3 months. We will finish it today.
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Ryan Seamons
Ryan Seamons@ryanseamons·
@vivoplt We use firebase for @aidungeon but open to other suggestions. It's worked well for many years for us, but I'd love something even better.
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Vivo
Vivo@vivoplt·
As a developer, which authentication provider do you prefer?
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Ryan Seamons
Ryan Seamons@ryanseamons·
The illusion of control is a powerful drug.
Anish Moonka@anishmoonka

Unilever makes 250,000 job applicants play video games before they’ll even look at a resume. For their Future Leaders program, instead of reading cover letters, they run candidates through 12 neuroscience-based games built by Pymetrics (now owned by Harver) that measure how you make decisions under pressure, how you handle risk, and how fast you learn. The games cut their hiring time from four months to four weeks and saved over 50,000 hours of recruiter time. JPMorgan, BCG, Accenture, Mastercard, and McDonald’s all use the same platform. There’s real science behind this. Researchers at three European universities put 40 business students through Sid Meier’s Civilization, then ran them through a Fortune 500-style management assessment center. Published in the Review of Managerial Science in 2020, the results were clear: students who scored highest in the game scored highest on problem-solving, organizing, and planning. They also had better grades. A 2013 study at Queen Mary University of London found the same pattern with StarCraft. 72 volunteers got 40 hours of training. The StarCraft group showed a significant improvement in cognitive flexibility (your brain’s ability to switch between tasks and think on your feet) compared to a control group that played The Sims. The statistical evidence was 40 times stronger than what you’d expect from chance. SimCity specifically has been used in university urban planning courses since 1994, when a professor named John Gaber started assigning it to teach systems thinking. A 2025 study found students who played it showed a 26% improvement in understanding sustainable city design, and 81% applied what they learned in the game to real projects. The Civilization study was a proof-of-concept with 40 students, not a 10,000-person trial. But the pattern across multiple studies, multiple games, and a $20 billion gamification industry keeps pointing the same direction. The meme is a joke. The science behind it isn’t.

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Spike Cohen
Spike Cohen@RealSpikeCohen·
This is the last week to get pregnant if you want another dependent for 2026.
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Ryan Seamons
Ryan Seamons@ryanseamons·
@Dearme2_ Pause social media. Talk to my wife. Get to know Jesus.
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Dear Self.
Dear Self.@Dearme2_·
During your darkest period, what was the best thing you ever did for your mental health?
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KL
KL@Kyle_2022_·
@qrimeCapital To folks who have never worked on a company’s computer, like the guy who made this post, no you cannot run OpenClaw on company computers.
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qrime
qrime@qrimeCapital·
I have my openclaw bot set up to apply for jobs I’m way overqualified for. All day. Everyday. It’s finding jobs that are 80-100k salary. Entry level developer, junior system admin, etc. I’ve been hired at 4 jobs so far. I’m now making 350k a year with 4 jobs and have 4 separate instance of openclaw doing the jobs for me. It codes, analyzes data, responds to emails, teams messages, and if anything urgent ever happens, my bots message me on discord. 4 jobs, 4 401ks, and about 5 hours of work a week. AI isn’t taking your job but people like me who know how to use AI are.
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Andrew Yeung
Andrew Yeung@andruyeung·
Equinox's gym policies are actually hilariously absurd If for some reason, you want to pause your membership, you can do so for 90 days But you have to pay a non-refundable $50 fee every 15 days you remain on freeze Plus, you get charged a $300 one-time freeze fee Meaning you pay $600 just to pause your membership for 3 months.
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Ryan Seamons
Ryan Seamons@ryanseamons·
@eliaswalyba Curious to check this out. It’s not great, but Linear has been a decent intermediary for plans.
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Elias Waly Ba
Elias Waly Ba@eliaswalyba·
Un de mes collègues m'a montré Beads il y a quelques jours et ça a fondamentalement changé ma façon d'utiliser les agents IA comme Claude Code. Le problème de fond: les agents n'ont pas de mémoire persistante. Chaque session repart de zéro. On compense avec des fichiers markdown dans le repo, des CLAUDE.md, des notes de contexte, mais c'est fragile, non structuré, et ça scale mal dès que le projet grossit ou que tu veux paralléliser. Beads résout ça proprement. C'est un issue tracker en graphe orienté acyclique (DAG), stocké dans Dolt (une base SQL versionnée, Git-compatible), optimisé pour être consommé par des agents. Tes tâches ont des dépendances explicites. Un agent fait bd ready et récupère exactement ce qui est prêt à être traité, sans blocker, sans ambiguïté. Ce qui change concrètement dans mon workflow: Avant, je planifiais dans Claude Code, le plan vivait dans le contexte de la session, et à la prochaine session je re-expliquais tout. Maintenant, Claude génère le backlog directement dans Beads au début d'une feature. Les tâches sont liées par dépendances. Un agent claim une tâche (bd update --claim), l'exécute, log les bugs découverts avec le tag discovered-from, et passe à la suivante. Le contexte survit à la session. La partie qui m'a le plus surpris: le mécanisme de compaction. Les tâches fermées sont résumées sémantiquement pour ne pas exploser la fenêtre de contexte sur les projets long-terme. C'est de la gestion de mémoire, littéralement. Les IDs sont hash-based (bd-a1b2) pour éviter les conflits de merge dans les workflows multi-agents sur plusieurs branches, détail qui montre que le design a été pensé pour du vrai usage distribué, pas juste du prototypage. Je l'utilise maintenant sur tous mes projets qui impliquent des tâches longues, multi-sessions, avec des dépendances complexes entre composants. Je vous recommande Beads vivement. Merci beaucoup @Steve_Yegge github.com/steveyegge/bea…
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Ryan Seamons
Ryan Seamons@ryanseamons·
@alexrkonrad @ycombinator @flexport Agents, done well, have so much impact you can invest a couple days and see real gains in the same week. Worth it. The verification bottleneck that comes is a doosy though.
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Alex Konrad
Alex Konrad@alexrkonrad·
Last week, @Flexport released an AI agent that can audit bills from shippers and truckers against the actual logs to ensure its customers are invoiced correctly. The product was just an idea 3 days before. "We probably pivoted 30% to 40% of our engineers now just to building agents," founder Ryan Petersen (@typesfast) says. "There's way less planning than there used to be at Flexport in the roadmap. It used to be a one year strategic plan. Now you're like, ‘Alright, let's go see if you can make this work, come back to me two days later.' And it works, because of AI.” Catch the full interview on The Upstarts Podcast: YouTube: youtube.com/watch?v=1JamC0… Apple: podcasts.apple.com/us/podcast/fle… Spotify: open.spotify.com/episode/1S1sx3…
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Ryan Seamons
Ryan Seamons@ryanseamons·
@tomik99 Enterprise procurement is the worst. So happy to see this automated.
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Tomasz Karwatka
Tomasz Karwatka@tomik99·
There will be 100 successful startups built around one simple idea: Automating enterprise procurement with AI agents. Most procurement teams today are basically a mini-ERP… with email as the API. PDFs. Spreadsheets. Supplier threads. Approvals buried in inboxes. Perfect environment for agents. Build an AI procurement layer that can: - read RFQs and contracts - evaluate suppliers - negotiate terms - trigger approvals - complete transactions Procurement is the perfect agent wedge: unstructured documents + repetitive workflows + huge hidden cost. Classic Tornado Test: If an agent compresses weeks of work into minutes, it’s not a feature. It becomes the new baseline. And you can start building this today with open-source frameworks like @OpenMercato. If you run a software consultancy, here’s the blunt truth: Stop pitching “AI”. Pick one ugly enterprise workflow, automate it end-to-end, then productize the delivery. That’s where the real money will be.
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Ryan Seamons
Ryan Seamons@ryanseamons·
Great test. Seems like 5.4 is clearly better at getting to higher polish on games and simulations like this. Everything improving quickly as hoped. Yesterday we solved a finicky issue with package compatibility and old iOS versions that, in the past, was a painful wild goose chase. A few prompts and the issue was found and fixed. Thanks GPT 5.4 💪
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Dev Ed
Dev Ed@developedbyed·
Opus 4.6 vs GPT-5.4 (High) (6/9) Testing out how well these models to with cloth physics simulation, and honestly both where pretty close here but my god I am shocked how good GPT 5.4 is with optimizing this scene whilst opus 4.6 felt quite janky and lower fps. GPT 5.4 also got the cutting working properly whilst Opus was just floating about. I do want to heavily stress the fact that making this prompt, Opus 4.6 cost the whole 100% of the session ($20 pro plan) + $3 in credits whilst GPT 5.4 only cost 10% of the usage. prompt: Build a premium Vite + React interactive cloth simulation of a cozy room curtain using real particle/constraint physics, with structural + shear springs, damping, collisions, and stable real-time deformation. Users should be able to drag the curtain, add wind, and cut constraints, while the experience stays polished, visually elegant, and numerically stable.
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Ryan Seamons
Ryan Seamons@ryanseamons·
The Matrix, but for a fly. …they left out the part in The Matrix where we set it up for the machines! 😜 At least give them a challenge.
Hattie Zhou@oh_that_hat

There's a fruit fly walking around right now that was never born. @eonsys just released a video where they took a real fly's connectome — the wiring diagram of its brain — and simulated it. Dropped it into a virtual body. It started walking. Grooming. Feeding. Doing what flies do. Nobody taught it to walk. No training data, no gradient descent toward fly-like behavior. This is the opposite of how AI works. They rebuilt the mind from the inside, neuron by neuron, and behavior just... emerged. It's the first time a biological organism has been recreated not by modeling what it does, but by modeling what it is. A human brain is 6 OOM more neurons. That's a scaling problem, something we've gotten very good at solving. So what happens when we have a working copy of the human mind?

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Dylan
Dylan@DylanWeaver·
@_Investinq The one thing he got wrong is “AI will never be able to replicate true human emotion.”
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StockMarket.News
StockMarket.News@_Investinq·
Ben Affleck told you exactly what's coming and nobody caught it. At the DealBook Summit, he was asked point blank: could Netflix use AI to create its own James Bond with completely synthetic actors? His answer started safe. "That's not possible now." "Highly unlikely" in the future, movies will be "one of the last things" replaced by AI. Then he kept talking. He said AI will "intermediate the more laborious, less creative, and more costly aspects of filmmaking." That it will "bring costs down" and "lower the barrier to entry." Then he said the quiet part out loud. "I wouldn't like to be in the visual effects business." They're in trouble and what costs a lot of money is now going to cost a lot less and it's going to hammer that space. And it already is." He said "maybe it shouldn't take a thousand people to render something." But he wasn't done. He described a future where AI lets you get "two seasons of House of the Dragon in a year instead of one." Where studios make more content with the same spend and fewer people. Then he went further than any Hollywood insider has gone publicly. He said AI will eventually let you pay $30 and order your own custom episode of Succession. Pick the plot, the characters and AI builds it from the show's existing sets, actors, and footage. "It'll be a little janky and a little bit weird," he said but it'll work. He described consumers buying an "Iron Man pack" so they can look like Avengers characters on Twitch. Licensed AI character packs replacing costumes and digital rights replacing DVDs. This is not a man worried about AI. This is a man who mapped out the entire business model. And then he built a company to execute it. Yesterday, Netflix bought that company. It's called InterPositive and it trains AI on a film's own footage. It does exactly what he described fills in the "expensive and burdensome" parts of production. He told you AI can't write Shakespeare. He told you it can't replace actors in a room. He never told you it wouldn't replace the thousand people behind them.
StockMarket.News@_Investinq

Netflix just made the most DANGEROUS move in Hollywood. They didn't buy Warner Bros but instead bought something far more threatening. An AI company, built in secret and founded by one of Hollywood's own. Ben Affleck. The company is called InterPositive and you've never heard of it. And that was the point. Affleck quietly registered it under a shell company called Fin Bone LLC. He filed patents under his legal name. He built a proprietary AI dataset on a closed soundstage, all while making movies. Here's what InterPositive does. It takes the raw footage from a film shoot, the dailies and trains a custom AI model on it. That model can then relight scenes, reframe shots, remove stunt wires, fix missing angles, color correct entire films and add visual effects. Work that currently employs thousands of people in post production. Netflix now owns all of it, exclusively and no other studio gets access. Think about the timing. One week ago, Netflix walked away from an $83 billion bid to buy Warner Bros. Wall Street cheered and the stock jumped 14%. Days later, they quietly acquired the technology that could make traditional studios obsolete. They just bought Hollywood's replacement. And they made Ben Affleck an Oscar winner, a director, a guy people trust, the face of it. SAG-AFTRA's contract expires in June. AI is the single biggest issue on the table and the last fight over AI shut Hollywood down for months in 2023. And Netflix just acquired an AI production company, right before negotiations. They're calling it tools for filmmakers and they say it empowers storytellers. That's what they always say. The real question, how many jobs disappear when a machine can do in seconds what a VFX team does in weeks? Netflix won't answer that but the technology already did.

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Ryan Seamons
Ryan Seamons@ryanseamons·
@tranmautritam It's impressive, scary, and delightful all at the same time. Things are still a little funky around hand-offs and executive functioning but it's clearly coming.
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Tran Mau Tri Tam ✪
Tran Mau Tri Tam ✪@tranmautritam·
Watching AI agents collaborate on a design project is insane. They literally work like a team
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Ryan Seamons
Ryan Seamons@ryanseamons·
@WazzCrypto Consulting gigs would take less time if this happened. Bad for business. 😅
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Wazz
Wazz@WazzCrypto·
It's crazy that consulting firms like Accenture could just fire all their 784,000 employees right now and replace them with a single $200 Claude Max subscription but they choose not to do it
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