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3randon.eth

3randon.eth

@bbaker426

Sports Broadcasting ❤️ Innovation

Seattle, WA เข้าร่วม Ocak 2010
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3randon.eth
3randon.eth@bbaker426·
gm everyone 🌷 I created a Free Mint on @base using a picture I took at a local Tulip Festival to remember this period in time 💐 Happy Bitcoin Halving and cheers to a new cycle 🥂 @farcaster_xyz saw it first 😜 app.manifold.xyz/c/TulipHalving
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klöss
klöss@kloss_xyz·
Karpathy just outlined the next era of AI. all over 66 minutes… I broke down his 10 major takeaways so you don’t have to watch the full video (but you still probably should after reading this) here’s what he said matters most…. → “I don’t think I’ve typed a line of code since December.” the default workflow for software engineers has changed permanently since late 2025. we don’t write code anymore. we express intent to persistent AI agents for 16+ hours a day → he coined “AI psychosis”… the anxiety of knowing you have unused tokens just sitting there. success isn’t measured in your flops anymore. it’s measured in your token throughput → the limits aren’t model capability anymore. they’re orchestration skill. the people who know how to direct agents are operating 10x above everyone else using the same tools let me walk through all of his points… 1. mastery looks different now Karpathy built a personal agent called “Dobby” that controls his entire home through natural language. persistence + memory + parallel agents = a 2 person team operating like a 20 person org 2. software becomes disposable humans don’t need custom apps anymore. the customer is no longer the human… it’s agents acting on behalf of humans. entire industries have to account for and refactor for this 3. AutoResearch changes everything his side project (github .com/karpathy/autoresearch)… fully autonomous research loops. agents edit code, train models, and iterate overnight while you sleep. human only writes the high level goal 4. the skills that matter now understand that an agent can be both a brilliant PhD level systems programmer and a 10 year old’s unformed mind in the same conversation. and your job is to overcome those challenges and direct your agents. everything else they’ll soon do better 5. specialized models > one giant brain stop trying to build one know it all mega brain model. the future looks like an ecosystem… diverse adaptable and specialized models built for specific jobs. a team of focused models beats one mega model every time 6. distributed research could disrupt the lab monopoly imagine thousands of smartphones and computers around the world running AI experiments at the same time… not owned by one company. results are easy to verify but hard to discover. it’s how open collaboration could disrupt big closed labs decentralized internet 7. jobs data says something completely different than the narrative Karpathy looked at all the real data. engineering job demand is still rising. cheaper engineering creates MORE demand, not less. like how ATMs actually created more bank teller jobs 8. open source is the safety net open models generally lag frontier by 6-8 months but they’re also essential. closed models carry systemic risk from over-centralization. Karpathy wants ensembles of minds, not 2-3 labs behind closed doors making decisions for everyone 9. robotics will lag badly the physical world is messy and capital intensive. digital transformation will be orders of magnitude faster. future prediction… most AI agents will pay humans to act as their hands and eyes in the physical world, creating information markets for real world data to sell between themselves 10. education gets rebuilt from scratch the core LLM training algorithm fits in about 200 lines of Python. the rest is bloat. the new model? humans explain concepts to agents once, agents tutor humans infinitely and personally. write documentation for agents first. yes, a markdown first file world his one liner that hits hardest for me… “I put in just very few tokens… and a huge amount of stuff happens on my behalf” we’re in the era of autonomous agents. humans become directors, not doers. the leverage is insane, but it’s only really available to people who learn how to use it properly if you’re building with AI now, this is required listening material imo the ones who move first? they don’t ask permission they just do it: master AI
sarah guo@saranormous

Caught up with @karpathy for a new @NoPriorsPod: on the phase shift in engineering, AI psychosis, claws, AutoResearch, the opportunity for a SETI-at-Home like movement in AI, the model landscape, and second order effects 02:55 - What Capability Limits Remain? 06:15 - What Mastery of Coding Agents Looks Like 11:16 - Second Order Effects of Coding Agents 15:51 - Why AutoResearch 22:45 - Relevant Skills in the AI Era 28:25 - Model Speciation 32:30 - Collaboration Surfaces for Humans and AI 37:28 - Analysis of Jobs Market Data 48:25 - Open vs. Closed Source Models 53:51 - Autonomous Robotics and Atoms 1:00:59 - MicroGPT and Agentic Education 1:05:40 - End Thoughts

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Rekt Drinks
Rekt Drinks@rektdrinks·
We're aware of some issues with Rekt Rewards. Devs are working on it and expect it to be fully functioning by the end of the weekend.
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andrew chen
andrew chen@andrewchen·
prediction re the end of spreadsheets AI code gen means that anything that is currently modeled as a spreadsheet is better modeled in code. You get all the advantages of software - libraries, open source, AI, all the complexity and expressiveness. think about what spreadsheets actually are: they're business logic that's trapped in a grid. Pricing models, financial forecasts, inventory trackers, marketing attribution - these are all fundamentally *programs* that we've been writing in the worst possible IDE. No version control, no testing, no modularity. Just a fragile web of cell references that breaks when someone inserts a row. The only reason spreadsheets won is that the barrier to writing real software was too high. A finance analyst could learn =VLOOKUP in an afternoon but couldn't learn Python in a month. AI code gen flips that equation completely. Now the same analyst describes what they want in plain English, and gets a real application - with a database, a UI, error handling, the works. The marginal effort to go from "spreadsheet" to "software" just collapsed to near zero. this is a massive unlock. There are ~1 billion spreadsheet users worldwide. Most of them are building janky software without realizing it. When even 10% of those use cases migrate to actual code, you get an explosion of new micro-applications that look nothing like traditional software. Internal tools that used to live in a shared Google Sheet now become real products. The "shadow IT" spreadsheet that runs half the company's operations finally gets proper infrastructure. The interesting second-order effect: the spreadsheet was the great equalizer that let non-technical people build things. AI code gen is the *next* great equalizer, but the ceiling is 100x higher. We're about to see what happens when a billion knowledge workers can build real software.
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Babz
Babz@BabzOnTheMic·
Let me hear your story #EndFanatics
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Babz@BabzOnTheMic

Ready for a long winded Babz rant? Buckle up. Fanatics has absolutely ruined everything when it comes to sports apparel. They’re such a juggernaut now, that it doesn’t matter what we say or do. They’re too big to fail. The quality of everything has gone down hill while the price continues to climb. Maybe it’s a pandemic thing? I just feel everything pre-2020 has quality to it. But then they realized people will still pay top dollar for lesser quality. That’s what we get now. It’s insanity. Listen. Im just a man-child who wears cargo shorts 365 days a year. So my take on fashion doesn’t mean much. Everyone has different tastes. I’m not going to knock anyone on what they personally like. My gripe is that they over saturate the apparel market with really bad quality merch which is over priced. Example. $160 for a fashion jersey (that the team doesn’t even wear) and they look like something you’d buy at the Walmart rack. Maybe you like the style, that’s cool, but it shouldn’t cost the same as the same jersey they wear on the field. You’re getting ripped off. I’ve noticed recently they try to keep up with public image by throwing crumbs at influencers. They’ll ship you free gear in a cool box or have you promote the Fanatics Fest, knowing you’ll talk highly about the company. People love free shit, so why not. It’s a good marketing strategy. Will I continue buying from Fanatics? Yes. If I see something I like, I will get it. Which is part of the problem. I have no choice. I just really wish they didn’t have a stranglehold like they currently do on everything sports. Even look at @drakemayeloverr and what he did with the I ❤️ Drake Maye shirts. Just a unique, fan driven movement that eventually corporations need to get their hands involved to make their buck. I just really wish we didn’t get so ripped off as a society. I’m sick of it.

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OSF
OSF@osf_rekt·
it's not even the end of january and so far in 2026 we have: - launched @rektdrinks across ~200 @GiantEagle stores with in-store $REKT rewards on @base, almost 10x our sales target already + driven thousands of interactions with @baseapp - announced a strategic partnership with @opensea - launched and sold out a collaboration drink with @WORLDSTAR - partnered with @XGames Aspen, launched and sold out a collaboration drink in just 1 minute - one more thing to come markets will be markets but it's not gonna stop us from working as hard as we can. it's gonna be a big year, still lots more to come.
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OSF
OSF@osf_rekt·
in under 5 days, we have already surpassed a 31-day sales target set by @GiantEagle...
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OSF
OSF@osf_rekt·
we’re not done yet.
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vitalik.eth
vitalik.eth@VitalikButerin·
The fact that we have political systems that do byzantine things like this instead of just charging a basic tax per litre of fuel to account for environmental costs (or even mileage * weight^4 for wear and tear) in a consistent way continues to frustrate me. When accounting for externalities, policy should "tell" consumers/market what to optimize for (and how much it matters), not how to optimize for it. The latter is more intrusive, and easier to game.
Sheel Mohnot@pitdesi

Ever wonder why sedans disappeared and every car is huge now? "Thanks, Obama!" His administration changed fuel economy standards in a way that had the perverse impact of making cars even bigger. Here are all the vehicles for sale by the 3 largest US automakers. 62 vehicles, 4 sedans (6%). 20 years ago this chart would have been ~50% sedans! What happened? Obama administration changed auto fuel efficiency rules to tie fuel economy targets to vehicle size. Under the new system: -The bigger the car's footprint, the easier the MPG target was. -Light trucks (including SUVs and crossovers) had far lower requirements than passenger cars. -Crossovers were quietly reclassified as "trucks," giving them a huge regulatory advantage. Instead of building lighter, more efficient cars, automakers simply made everything bigger, and made more trucks and SUVs. Notice that cars that used to be sedans are now crossovers? They do this so it counts as a light truck - they raise ground clearance, square off the rear for cargo capacity, and meet off-road approach minimums so they get qualified as a light truck. Think Subaru Legacy > Subaru Outback. As you can see in the chart, it's a LOT easier to meet MPG requirements if your vehicle is classified that way. So cars got LARGER to meet fuel efficiency goals. The new Honda Civic is 20 inches longer and 4 inches wider than it used to be, about the same size as an old Accord. By making the Civic larger, Honda slightly shifted it into a more favorable regulatory category. ...and smaller cars disappeared. The Honda Fit was a great little car, but would have had to hit 67 MPG in 2026, which would be nearly impossible... so instead, Honda stopped selling them. So, the only way to make small vehicles now is to make them EV's (Chevy Bolt). The Slate truck that is all the rage now is only possible because it's an EV... otherwise its footprint would have demanded an overly onerous MPG target. So in short - Obama era CAFE standards had the opposite of the desired impact: sedans died, vehicles ballooned in size, and America's streets turned into an SUV parking lot. All thanks to a policy that accidentally incentivized bloat instead of efficiency. Don't get me started on "cash for clunkers!"

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Aaron Wright
Aaron Wright@awrigh01·
Stablecoins just crossed $200B. In 5 years. Everyone's watching the number. Few are thinking about what the number means.
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Rekt Drinks
Rekt Drinks@rektdrinks·
Today Rekt Drinks passed 1 MILLION drinks sold in under 11 months.
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Faryar Shirzad 🛡️
Faryar Shirzad 🛡️@faryarshirzad·
The big banks are working overtime to shield themselves from any possibility of competition. Their latest trick? Objecting to language that they negotiated in the GENIUS Act, in an effort to undermine one of @POTUS’s signature legislative achievements. Remember, GENIUS is a law that is not yet two months old. Translation: instead of building a better product, they’d rather dig a deeper moat. A 🧵
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Chainlink
Chainlink@chainlink·
.@Polymarket, the leading onchain prediction markets platform, has officially partnered with Chainlink to launch new 15-minute markets featuring near-instant settlement and industry-leading security. prnewswire.com/news-releases/… Starting with asset pricing, the integration combines Chainlink Data Streams and Automation to speed up market resolutions and provide robust defense-in-depth security. The integration is live on @0xPolygon mainnet, enabling the creation of robust prediction markets around any of the hundreds of crypto trading pairs already supported by Data Streams. This marks just the beginning of the collaboration between Polymarket and Chainlink.
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