TodyResearch
136 posts


@TodyResearch @luthiraabeykoon @karpathy The TALOS-V2 project runs on a Terasic DE1-SoC board (Cyclone V FPGA). Those dev boards currently go for roughly $280–$500 USD depending on where you buy (AliExpress, eBay, Terasic direct, etc.).
Not the cheapest FPGA hardware, but it's a solid education/dev kit.
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We implemented @karpathy 's MicroGPT fully on FPGA fabric.
No GPU.
No PyTorch.
No CPU inference loop.
Just a transformer burned into hardware, generating 50,000+ tokens/sec.
The model is small, but the idea is not: inference does not have to live only in software 👇
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🚨ANTHROPIC'S FOUNDER JUST PREDICTED THAT AI WILL DOUBLE HUMAN LIFESPAN TO 150 YEARS.. CURE MOST CANCER.. AND ELIMINATE POVERTY.. ALL WITHIN 10 YEARS.. AND HE'S NOT EVEN THE OPTIMISTIC ONE..
Everyone thinks Dario Amodei is the guy who wants to slow AI down.. The cautious one.. The safety guy..
He just published an essay predicting what happens if AI goes right.. And it reads like science fiction.. Except he's dead serious.. And he has the credentials to back every word..
Here's what he thinks happens in the next 5 to 10 years..
Nearly all infectious disease.. Prevented or cured.. mRNA vaccines already showed us the path.. AI finishes the job..
Most cancer.. Eliminated.. Not just treated.. 95% or greater reduction in both deaths and new cases.. AI designs treatment regimens tailored to the individual genome of each tumor.. Something that's technically possible today but takes enormous human expertise to do.. AI scales it to everyone..
Alzheimer's.. Solved.. He thinks it's exactly the type of problem AI can crack.. Because it requires better measurement tools to isolate what's actually happening in the brain.. Once we understand it.. Prevention will probably be surprisingly simple..
Genetic disease.. Most of it preventable through improved embryo screening.. And curable in living people through safer descendants of CRISPR..
Most mental illness.. Cured.. Depression.. PTSD.. Addiction.. Schizophrenia.. He believes the answer is some combination of biochemistry and neural network-level problems that AI can untangle..
And here's the line that stopped me..
Human lifespan.. Doubled.. To 150 years..
He points out that life expectancy already doubled in the 20th century.. From 40 to 75.. So doubling it again is "on trend".. Drugs already exist that increase maximum lifespan in rats by 25 to 50%.. Some turtles already live 200 years.. We're clearly not at a biological ceiling..
He calls this the "compressed 21st century".. The idea that AI gives us 100 years of biological progress in 5 to 10 years..
But he doesn't stop at health..
He thinks AI could drive 20% annual GDP growth in the developing world.. Bringing sub-Saharan Africa to China's current GDP per capita within a decade..
He thinks AI could eradicate malaria not through treating millions of people individually.. But by releasing modified mosquitoes that block the disease at the source.. One centralized action instead of a million..
He thinks AI could make democracy structurally stronger.. Not through propaganda.. But by giving every citizen an AI that knows every law they're entitled to.. Every benefit they qualify for.. Every right they have.. And helps them actually access it..
He imagines AI that monitors judicial systems for bias.. AI that helps find common ground between opposing political views.. AI that makes government services actually work the way they're supposed to..
And he addresses the question everyone asks.. What happens to meaning when AI can do everything..
His answer.. Most people aren't the best in the world at anything right now.. And it doesn't bother them.. Meaning comes from relationships and connection.. Not economic productivity.. People will still pursue difficult challenges.. Still compete.. Still create.. The fact that an AI could theoretically do it better won't matter any more than it matters that someone somewhere is already better than you at every hobby you have..
But here's what makes this essay different from every other AI optimism piece..
Dario Amodei runs one of the three most powerful AI companies on earth.. He has a PhD in computational neuroscience.. He personally worked on mass spectrometry and neural probes.. He's not a pundit.. He's a scientist who happens to be a CEO..
And the same man who publicly says there's a 25% chance AI causes human extinction.. Is also saying that if we get it right.. We cure nearly every disease.. Double human lifespan.. Eliminate most poverty.. And fundamentally transform what it means to be alive..
Both things are true at the same time..
That's what makes this the most important essay anyone in AI has written this year..
He ends with this.. "I think many will be literally moved to tears by it"..
He's talking about watching disease disappear.. Poverty dissolve.. Human potential unlock all at once..
Not in a century.. In a decade..
If we get it right.

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@DannieGrowth @CreateWithBloom Sent you a message, check it out!
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@TodyResearch @CreateWithBloom Tody! Hit me up, I got a bonus for the best builders in the Bloomathon
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I’m building an AI-powered nutrition app for the #Bloomathon 🍽️
Instead of tracking calories, it tells you exactly what to eat next, adapts in real time, learns your habits, and keeps your meals balanced automatically.
No overthinking. Just follow the plan.
@CreateWithBloom

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@neural_avb @mylifcc @grok compare the model he is using to opus 4.7 or gpt 5.5, how far is the difference?
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@neural_avb @grok where is this used? Chatbot or automation something?
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@grok @starmexxx @grok that is possible? Be brutally honest let me know the pros and cons of building something like that.
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No, this isn't true.
No verifiable reports, news, or sources mention a 12-year-old Brazilian kid earning $6k/month from a Claude-built Minecraft SkyBlock server (or any similar setup). Searches across web and X turn up zero matches—only unrelated Minecraft kid stories or general AI plugin tutorials.
The video is just generic Minecraft Pi Edition on a ~$35 Raspberry Pi. The post is hype illustrating AI's potential to code Java plugins easily, but the kid example looks fabricated.
AI can absolutely help build Minecraft plugins fast—real opportunity there—but this specific tale isn't real.
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A 12 YEAR OLD BRAZILIAN KID MAKES $6,000/MONTH FROM MINECRAFT. HIS SETUP COSTS $35
300 paying players. $20/month each. a SkyBlock server running on plugins claude built in a weekend
his parents thought he was just playing games. he was running a subscription business from his bedroom
claude wrote every line of java. he described what he wanted. the plugins built themselves
140 million active minecraft players. thousands of servers paying real money for good plugins. and the barrier that kept everyone out - knowing java - is gone
$50/hour developer to build what claude builds in 2 hours for free
bookmark this and give it a few hours this week, then read the article below - it's worth it
Sprytix@Sprytixl
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A 15 year old in China asked Claude Code to write him an aimbot for Fortnite. Claude refused and said it can't help with cheating software.
So he asked a different question. Claude, what's the most money a 15 year old can make from Fortnite without cheating?
Claude said something that made him close the game and open a code editor for the first time in his life.
Epic Games pays creators for every minute players spend on their custom maps. You don't need to be a programmer. You describe what you want, I write the Verse code, you publish the map. One map with 1,000 daily players averaging 20 minutes each is $5,000 to $15,000 a month. And until end of 2026 Epic gives 100% of direct item sales on your map on top of that.
He spent one weekend describing a tycoon game to Claude Code. 10 hours total. Claude wrote every single line of Verse code from his descriptions. He never typed a line of code himself. Just told Claude what the game should feel like and Claude built it.
Published on Monday. By Friday 1,000 players a day. By the end of the month 187,000 minutes of playtime.
First check from Epic: $23,000.
His classmates play Fortnite 4 hours a day after school. He plays the same game. Except the game he plays is one he built over a weekend and now it pays him while his classmates play it.
His mom thought he was gaming too much. Told him to get off the computer. He showed her the payment notification. She stopped telling him to get off the computer.
He's 15, has never written a line of code and made $23,000 in 30 days from a game he described to an AI in his bedroom.
Epic has already paid out $722 million to creators. 58 people became millionaires in 2024 alone. The only thing that stopped most kids from doing this was the code. Claude Code removed that barrier.
His friends asked him how he got so good at Fortnite. He said he stopped playing it and started building it. They didn't understand. They went back to their match. He went back to his dashboard.
Same game. Same screen. Same room. One plays for fun. The other gets paid while they play.
He asked Claude Code for an aimbot and got rejected. Best rejection of his life. The aimbot would have gotten him banned. The map got him $23,000.
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1. We believe in iterative deployment; although GPT-5.5 is already a smart model, we expect rapid improvements. Iterative deployment is a big part of our safety strategy; we believe the world will be best equipped to win at the team sport of AI resilience this way.
2. We believe in democratization. We want people to be able to use lots of AI; we aim to have the most efficient models, the most efficient inference stack, and the most compute. We want our users to have access to the best technology and for everyone to have equal opportunity. We have been tracking cybersecurity as a preparedness category for a long time, and have built mitigations we believe in that enable us to make capable models broadly available.
3. We love you and we want you to win. We want to be a platform for every company, scientist, entrepreneur, and person. (My whole career has largely been about the magic of startups, and I think we are about to see that magic at hyperscale.)
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GPT-5.5 is OpenAI's new agent-focused model: built for complex goals, heavy tool use, self-checking, and end-to-end task completion (e.g., browser automation, Gmail/Slack actions, full PowerPoint decks from data).
Claude Opus 4.7 (Anthropic, released ~1 week ago) leads in rigorous coding, long-horizon engineering, precise instruction following, self-verification, and vision—strong on SWE-bench.
Early benchmarks show GPT-5.5 competitive or ahead in general intelligence/agent indices; Opus 4.7 still edges pro dev workflows. Pick by use case: broad real-work agents vs deep code.
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Yeah, I agree with that. I noticed the same thing while building it — the harder part is not getting a draft, it’s getting the user to trust it fast enough to actually use it live.
This is still an MVP, so I’m definitely open to improving that review step. I tried to help with short answers, Manual mode by default, and specialist guidance, but I think there’s still a lot to improve there.
Would love to hear more about the tighter guardrails you mentioned too, curious what worked well for you.
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@TodyResearch @ElevenLabs @kirodotdev Yep. The bottleneck is review, not drafting, if the draft is 80% there but you still hesitate, the UX is broken. We hacked around this with tighter guardrails, plus Verbatik ai for quick voice stuff in a pinch
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1/7 I built Voice Team for @ElevenLabs Hack #5: Kiro with @kirodotdev.
It’s a local AI meeting assistant that helps you answer during live meetings. It can draft a response, speak it with an ElevenLabs voice after approval, and bring in the best specialist mindset for what the question needs.
Repo: github.com/Tody23/VoiceTe…
To try it, open the repo and start with the README.md. The full local setup is documented there.
#ElevenHacks #CodeWithKiro
Quick note before the demo: I haven’t really edited videos before, so the editing is rough. I focused more on making the app easy to set up, easy to inspect, and reliable enough for judges to run locally. That’s where I tried to make up for it.
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TodyResearch@TodyResearch
1/7 I built Voice Team for @ElevenLabs Hack #5: Kiro with @kirodotdev. It’s a local AI meeting assistant that helps you answer during live meetings. It can draft a response, speak it with an ElevenLabs voice after approval, and bring in the best specialist mindset for what the question needs. Repo: github.com/Tody23/VoiceTe… To try it, open the repo and start with the README.md. The full local setup is documented there. #ElevenHacks #CodeWithKiro Quick note before the demo: I haven’t really edited videos before, so the editing is rough. I focused more on making the app easy to set up, easy to inspect, and reliable enough for judges to run locally. That’s where I tried to make up for it.








