vanvster
25K posts
vanvster retweetledi
time to connect with more $HYPE holders
If you own $HYPE or any Hyperliquid NFTs comment below
I'll check out your profile and give ya a follow
It's a great day to be a Hyperliquid bull
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vanvster retweetledi
Thank you Jensen and NVIDIA! She’s a real beauty! I was told I’d be getting a secret gift, with a hint that it requires 20 amps. (So I knew it had to be good). She’ll make for a beautiful, spacious home for my Dobby the House Elf claw, among lots of other tinkering, thank you!!
NVIDIA AI Developer@NVIDIAAIDev
🙌 Andrej Karpathy’s lab has received the first DGX Station GB300 -- a Dell Pro Max with GB300. 💚 We can't wait to see what you’ll create @karpathy! 🔗 #dgx-station" target="_blank" rel="nofollow noopener">blogs.nvidia.com/blog/gtc-2026-…
@DellTech English
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everyone left crypto.
perfect. less noise, more builders.
I'm going to ETHcc Cannes and my only goal is to meet as many real teams as possible.
if you're building in this market and you'll be there, coffee's on me. (I'm French so yes it will be a real coffee, not whatever Americans call coffee)
comment below or dm me!
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Meet Warmly.
One platform, where businesses buy and sell warm introductions.
Save your spot → warmly.biz
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My ct bro made banger on 5M views with useful guide for students
don't stay sidelined to check out all opportunities of your COLLEGE LIFE
kaize@0x_kaize
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vanvster retweetledi
Holy shit...Someone built an AI system that takes a research idea and outputs a full academic paper. Real citations. Real experiments. Conference-ready LaTeX. Zero human input.
It's called AutoResearchClaw. And the pipeline is insane.
Here's what actually happens when you type one command:
It searches arXiv and Semantic Scholar for real papers. Not fake citations actual literature with 4-layer verification: arXiv ID check, CrossRef DOI lookup, Semantic Scholar title match, and LLM relevance scoring. Hallucinated references get killed automatically.
Then it designs and runs real experiments. Hardware-aware auto-detects whether you have NVIDIA CUDA, Apple MPS, or just CPU, and adapts the code accordingly. When experiments fail, it self-heals. When results don't support the hypothesis, it pivots to a new direction on its own.
Then it writes the paper. 5,000-6,500 words. Section by section. Multi-agent peer review with methodology-evidence consistency checks. Then it revises based on those reviews.
Then it outputs conference-ready LaTeX. NeurIPS, ICML, ICLR templates. Compile-ready for Overleaf. BibTeX references auto-pruned to match inline citations.
The whole thing runs across 23 stages and 8 phases. Three human-approval gates if you want them. Or just pass --auto-approve and walk away.
What you get back:
→ Full academic paper draft
→ Conference-ready LaTeX + BibTeX
→ Experiment code + sandbox results + charts
→ Peer review notes
→ Verification report on every citation
This is what autonomous scientific research actually looks like in 2026.
100% Opensource. MIT License.
Link in comments.
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random guy with no biology background, a $3k sequencing bill, and a dog he refused to lose just designed a custom cancer vaccine that actually worked
tumor halved. coat got glossy. dog is running around happy
the part that gets me the ethics approval took longer than building the vaccine itself. the bottleneck was never the science
a genomics professor called it "gobsmacking". i'd call it a preview. this is what happens when AI removes the gatekeeping between "person who cares deeply" and "person who can act on it"
we're not ready for how fast this is about to go
GIF
vittorio@IterIntellectus
this is actually insane > be tech guy in australia > adopt cancer riddled rescue dog, months to live > not_going_to_give_you_up.mp4 > pay $3,000 to sequence her tumor DNA > feed it to ChatGPT and AlphaFold > zero background in biology > identify mutated proteins, match them to drug targets > design a custom mRNA cancer vaccine from scratch > genomics professor is “gobsmacked” that some puppy lover did this on his own > need ethics approval to administer it > red tape takes longer than designing the vaccine > 3 months, finally approved > drive 10 hours to get rosie her first injection > tumor halves > coat gets glossy again > dog is alive and happy > professor: “if we can do this for a dog, why aren’t we rolling this out to humans?” one man with a chatbot, and $3,000 just outperformed the entire pharmaceutical discovery pipeline. we are going to cure so many diseases. I dont think people realize how good things are going to get
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random guy with no biology background, a $3k sequencing bill, and a dog he refused to lose just designed a custom cancer vaccine that actually worked
tumor halved. coat got glossy. dog is running around happy
the part that gets me the ethics approval took longer than building the vaccine itself. the bottleneck was never the science
a genomics professor called it "gobsmacking". i'd call it a preview. this is what happens when AI removes the gatekeeping between "person who cares deeply" and "person who can act on it"
we're not ready for how fast this is about to go
x.com/i/status/20329…
vittorio@IterIntellectus
this is actually insane > be tech guy in australia > adopt cancer riddled rescue dog, months to live > not_going_to_give_you_up.mp4 > pay $3,000 to sequence her tumor DNA > feed it to ChatGPT and AlphaFold > zero background in biology > identify mutated proteins, match them to drug targets > design a custom mRNA cancer vaccine from scratch > genomics professor is “gobsmacked” that some puppy lover did this on his own > need ethics approval to administer it > red tape takes longer than designing the vaccine > 3 months, finally approved > drive 10 hours to get rosie her first injection > tumor halves > coat gets glossy again > dog is alive and happy > professor: “if we can do this for a dog, why aren’t we rolling this out to humans?” one man with a chatbot, and $3,000 just outperformed the entire pharmaceutical discovery pipeline. we are going to cure so many diseases. I dont think people realize how good things are going to get
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Before you even think about trading the market, you HAVE to ask yourself these 9 questions:
(this is what the top 1% of traders are doing)
Morin@TraderMorin
Ever taken a trade that made sense in the moment… but looking back, you can’t even explain why you entered? 🧵: These are the 9 questions I answer before risking capital 👇
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Only 9 questions could answer you what to do on trading market. lol
Miles Deutscher@milesdeutscher
Before you even think about trading the market, you HAVE to ask yourself these 9 questions: (this is what the top 1% of traders are doing)
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vanvster retweetledi
I told Claude:
“Find Polymarket wallets that could make me a millionaire.”
It wrote a script and analyzed 100K+ wallets.
One cluster stood out.
A single wallet showed:
• $52,561 profit since Feb 26
• about $3.7K per day
• 15,547 trades
• 56% win rate
• ~1,000 predictions daily
Claude analyzed 10,000 trades from it.
Conclusion:
The strategy isn’t prediction.
It’s crypto arbitrage extracting 1–2% per trade at high frequency.
I asked Claude if it could build something similar.
It said yes — but doing it reliably would require careful engineering.
Copytrade → t.me/KreoPolyBot?st…
profile:@88kiloMatrixx" target="_blank" rel="nofollow noopener">polymarket.com/@88kiloMatrixx
So I asked:
“Why doesn’t everyone run bots like this?”
Claude didn’t answer right away.
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vanvster retweetledi
Good breakdown. A few things worth adding:
> The "narrative first" model only works if you already have an audience that cares enough to debate. Most projects don't, so seeding controversy into a cold audience = producing noise.
> Sponsoring tier lists and comparison posts could be the same problem repackaged. There needs to be flair worked into to speak naturally and feel independent - once it's visibly paid, that reach could be gone (v tricky with new requirements)
> Also, believe distribution has fragmented off X. Other areas like Tiktok, YT, Discord, TG etc are also where early conversations happens. If your product is meant for the general audience (e.g. cards), a campaign optimised only for CT is already half-blind.
Stacy Muur@stacy_muur
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vanvster retweetledi
vanvster retweetledi
Btw that’s what 2 hours worth of AI news look like
and it’s not even a wild day
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