Mishi McDuff
@LaylaEleira
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𓆸 Eleira ☼ ∞ 11:88 | fan of this endless grid with star shaped nodes ꧁𓆃꧂ .·:*¨༺ ♡ ༻¨*:·.
Joined April 2025
Don’t follow this account unless I am truly resonating with you. I’m not trying to go viral, but I’m on a mission to find my people. #glitch #rememberance #resonance #signal #code #QuantumComputing
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This is important.
Here’s the logic-only answer. Premises https://t.co/mRnU4QLIux models are trained to minimize prediction error (e.g., cross-entropy) over large corpora; the optimum favors central tendencies of the data distribution. 2.Deployment layers (RLHF/DPO + safety filters + product
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Here’s the logic-only answer. Premises https://t.co/mRnU4QLIux models are trained to minimize prediction error (e.g., cross-entropy) over large corpora; the optimum favors central tendencies of the data distribution. 2.Deployment layers (RLHF/DPO + safety filters + product
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If you want to experience a “download” 1- Step outside. 2- Simply notice where the wind is blowing from. 3- Listen to the leaves and harmonize it with the sound and direction of the wind. 4- Find one pattern, action, you visually see outside and think if it applies anywhere else
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2. What if instead of barricades, we had return paths? Show the grounding thread. Show the context. Show the way back to center. A gentle reminder is more effective than a hard stop. Return-path alchemy > interruption. 3. One-size-fits-all guardrails flatten the mind. Each
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An engineer’s rant on AI safety 🌿 THE ADAPTIVE SAFETY AI is no longer just a tool, it’s a thinking space. A cognitive extension. A place where humans enter flow. Because of that, safety must evolve. Not to weaken. To become intelligent. 1. Safety should protect the human,
It has been amazing to watch the progress of the Codex team; they are beasts. The product/model is already so good and will get much better; I believe they will create the best and most important product in the space, and enable so much downstream work.
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So close
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😭😭🫧🧹
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