Julia

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P. 247 HOW TO BREAK THE BELIEFS THAT HOLD YOU BACK In the beginning, repeating a habit is essential to build up evidence of your desired identity. As you latch on to that new identity, however, those same beliefs can hold you back from the next level of growth. When working against you, your identity creates a kind of 'pride" that encourages you to deny your weak spots and prevents you from truly growing. This is one of the greatest downsides of building habits. Cover of Atomic Habits Atomic Habits 48 notes
P.182-183 Commitment makes decision-making easier and removes any fear of missing out; knowing that what you already have is good enough… Cover of The Subtle Art Of Not Giving A F*ck The Subtle Art Of Not Giving A F*ck 33 notes
P.208 If you want to do better as an investor, the single most powerful thing you can do is increase your time horizon. Time is the most powerful force in investing. It makes little things grow big and big mistakes fade away. It can't neutralize luck and risk, but it pushes results closer towards what people deserve. Become OK with a lot of things going wrong. You can be wrong half the time and still make a fortune, because a small minority of things account for the majority of outcomes. Cover of The Psychology Of Money The Psychology Of Money 30 notes
Mittlerweile gibt es im Land hunderte verschiedene Sekten und Strömungen…Entgegengesetzte Überzeugungen beriefen sich dabei auf verschiedene Adelsfamilien, Samurai und einfache Bürger, die Glaubenspraktiken für ihre Zwecke zuschnitten. Eine der bekanntesten Schulen ist Zen mit ihren wesentlichen Elementen zazen (Sitzmeditation) und Selbsthilfe. Page 65 Cover of Typisch Japan Typisch Japan 14 notes
AI testing and AI quality requires unlearning some comfortable habits, then learning a new set of tools that are rarely handed to you in one clean list. copilots, agents, LLM-powered workflows, model-backed features, adaptive interfaces, RAG apps, generated code, and software whose behaviour depends on prompts, tools and non-deterministic outputs. when systems are non-deterministic, quality is not proven by one good run…quality is measured across samples, slices, traces, risks, failures, behaviour, user-experience, root-cause visibility and time. Page 1 Testing AI Testing AI 2 notes

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