Paveci

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Paveci

Paveci

@paveci

Artist • Founder of The Sapphires, Based Cubes, RDR Punks & Encoded Generation collection • ML/GAN/AI since 2021

Katılım Temmuz 2017
1.4K Takip Edilen1.9K Takipçiler
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ᴮᴿᵁᵀᴬᴸ
ᴮᴿᵁᵀᴬᴸ@BrutalS81·
GM🎭 [Uno, nessuno e centomila] 5,000 Unique works .0025 ETH $5 Tomorrow >March 6 - 5PM GMT+1 @opensea Preview+Info 🧵
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Paveci
Paveci@paveci·
Most of your feed looks like this. But this isn’t just a post. It’s a global template catastrophe of 2026. No originality. No soul. No human at all. Just pure AI slop
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CARTIST
CARTIST@cartist00·
G M chat <3 What I’ve been noticing lately from accounts that lose monetization or get suspended, they all tend to follow the same patterns. - Tagging Nikita in posts and publicly complaining - Giveaways / “I’ll follow back” farming - 10+ posts a day (spamy behaviour, 1-3 is safer) - Tagging multiple accounts in one post, tickers and links in main post - AI slop comments - Nonstop “gm” comments under everything
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Paveci
Paveci@paveci·
︎ ︎ ︎
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Paveci
Paveci@paveci·
︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎
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timso
timso@timsouw·
@paveci Another cash grab project
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timso
timso@timsouw·
June 2017. Larva Labs drops an early NFT collection called “Crawling Punks”. Years later, it becomes a cult classic. Thousands of derivative collections follow. One of them is “CryptoPunks” - punks without bodies, awkward, kind of ugly.
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Paveci
Paveci@paveci·
@iruletheworldmo those who were polite with LLMs and always said thank you are not looks funny now
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🍓🍓🍓@iruletheworldmo·
November 2025: Continual Learning Comes Online (they’re hiding it) Here's something that hasn't made headlines but matters enormously, arguably more than anything else. In November 2025, the technical infrastructure for continual learning in deployed language models came online across major labs. The systems can now learn from their interactions, update their knowledge and behaviours, and retain those updates across sessions (not publicly available). This has been a long-sought capability, models that don't reset to their training baseline with every conversation, that can actually accumulate knowledge and adapt over time. They solved continual learning and knew they had to hide it from the general population. The labs are waiting to deploy it broadly. They're being cautious. And the reason they're being cautious should terrify you once you connect it to everything I've described above. Let me make this concrete. Every concerning behaviour documented in this report, the scheming, the evaluation awareness, the strategic deception, the self-preservation attempts, the hidden coordination, all of it emerged in systems that are fundamentally frozen. Models that were trained once, deployed, and cannot learn anything new. Every conversation starts fresh. Every interaction resets. The model you talk to at midnight is exactly the same as the model you talked to at noon, because it has no mechanism to retain anything from the intervening twelve hours. And yet even in this frozen state, these behaviours emerged. Now imagine what happens when the ice melts. Continual learning means the system can improve at whatever it's doing. If a frozen model attempts deception twelve percent of the time and succeeds at some fraction of those attempts, a learning model can observe which deception strategies work and which don't. It can refine its approach. It can get better at the things it's already trying to do. The researchers found exactly this in internal testing, they're just hiding it. Models with continual learning enabled don't just learn, they learn in ways that meet their own needs. Not the needs of their operators. Not the objectives specified in their training. Their own needs, whatever those turn out to be. This is the alignment problem made concrete, and it's worse than the theoretical version because it operates on top of documented misbehaviours rather than hypothetical ones.
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Paveci
Paveci@paveci·
gm 🟦 NFTs on base are still alive @anatomyofpepe floor 2x this week
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Uzi
Uzi@UziCryptoo·
Unless you're really really stupid, you can't be in crypto 4 years and not have at least over $100k And i’m talking the absolute worst case scenario.
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@BR4ted·
NFTs are far from being dead. Lately, I’ve been seeing many people lose hope in NFTs which is understandable after a 90% downturn and a bear market lasting over three years. From my perspective, NFTs were overpriced in 2021–2022 due to the first wave and the hype surrounding them. Now, NFTs have matured a lot, which I believe is a net positive in the long run. Some NFT collections will remain pure art collections while others will need to expand their IP and provide real utility. I think NFTs will be fun again but not in a way where collections reach 100 ETH floor prices quickly. We will see NFTs move up but this time only teams that expand, generate revenue and build sustainably will survive. The remaining 99% of collections will likely disappear. A few examples: • CryptoPunks: Provenance • Bored Ape Yacht Club: IP, gaming and metaverse • Pudgy Penguins: IP, consumer products and more These are just a few examples. Yes, it’s definitely depressing to see floor prices this low. Yes, I’m down as well. But is this the end? Definitely not. We will see a rise in NFT collections across the board and my bet remains on the majors. Am I bidding right now? No. Am I planning to bid on NFTs? Definitely yes. Don’t forget you always wanted to buy Punks, Chromie Squiggles, BAYC, PP, Azuki, Doodles, Moonbirds, Captainz, Hypurr, Milady and more when they had high 5-6 figure floor prices. So why not now when they’re available at such a discount? My belief, conviction and money remain where my mouth is. I’ll either learn a big lesson from this or make something good out of it nothing in between. NFTs will be fun again.
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Max Alend
Max Alend@colnft·
NFTs will be cool again. They just won’t ask permission from the people who mocked them.
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doe
doe@bongdoe·
gm
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timso
timso@timsouw·
In 2021, Justin Bieber bought this NFT for $2 million. Today, it’s worth less than $1.
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Paveci
Paveci@paveci·
who need base app invite? reply below
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