shoni.eth

@alexpaden

82 Following

40121 Followers

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the mullet is gone

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i love how bad suno is cuz the future is more exciting

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I’m fuckin’ Dirty Girls, now she got a dirty pearl, You’re unoriginal as plastic Fisher-Price, I’m full of mystery like Happy Meals, Spittin’ bars for fun, dreamin’ electric guns and missile bikes, You schemin’ memecoin scams—boy, your vision’s chum, just little bites. I got a test this week—hope I skipped the ABCs, especially that final D, You’re still wonderin’ what it’s like—go ask your dog, bitch, leave me be.

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https://youtu.be/7KofDgOEji0

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Ink drippin’ thesis, bars resurrect as Jesus, Scriptures turn to heaters, bless the booth, ignite the speakers— I’m clockin’ demon time, twelve to nine, these revelations, Spicy as my Chick-fil-A, Pete’s erasin’ as David’s son. Ink is gone—cleanse the soul o’ man.

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i should write a new rap

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web3 credential-based professional networks as a standalone are mostly ngmi for a simple reason: they don’t solve my problems—they solve some recruiter’s problem. it’s credentialism dressed up, but badges don’t build careers—relationships and results do. they skip the things that actually matter—job stacking, automation, leverage—and double down on crypto-native branding for someone else’s problem. at best, it’s a datapoint in recruiter automation.

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love music and usually try to support artists, but honestly, sound.xyz and similar platforms feel like dead ends—unless you’re a film producer looking for ambient filler or just want to flex bots. creator tokens might be a better approach, but even that feels pretty meh overall. wdyt? my guess: all the crypto stuff quietly moves under the hood—spotify starts settling payouts in usdc, nobody notices, and nothing really changes for the listener or the artist. maybe fine tuning AI in sound, vocal, or lyrics will become most lucrative…

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think i’ll buzz my hair off now that it’s summer

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this creates an interesting dilemma: a ‘large language model’ is a subset of ‘AI’, but if you abstract too deeply, you risk losing what’s novel about a trending topic—‘super bowl sunday’ becomes just ‘football.’ as you capture more content, you lose nuance; as you capture more nuance, you find less content—at least on the first pass. how would you approach this problem, assuming a small LLM is generating the classification in just a few words?

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The value of writing in Cursor, for me, lies in creating collections of short essays that each capture a focused topic or idea. These are paired with ‘workflow’ or ‘template’ files—modular prompts that can be applied to existing writing to surface new insights or even generate full essays, system architectures, or code. I enjoy building a growing text corpus this way. A workflow.md might include prompts like: • ‘What am I missing in (all context)?’ • ‘Given my writing in (business strategy folder), does it intersect meaningfully with (new product idea essay)?

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this has been delayed again in part my fault in part because i'm adding web/img/video data

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great rapper https://youtube.com/watch?v=gsaZRcL-OTQ

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just ordered $1,000 of biomarkers to discover more about my health and ailments

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gpt now has access to chat history https://x.com/polynoamial/status/1910379351759347860?s=46

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what restaurants are worth checking out in SLC?

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the ability to create good, then better, memes is a defining moment for ai because it reflects a deeper nuance in human thinking and understanding

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