Aviral Prakash
@heyaviral.bsky.social
4 followers 13 following 40 posts
Writer, Podcaster, Solopreneur, Father, Creator Right now I'm building Sunchaser where I find ideas to grow wiser, healthier and wealthier. If you like this - Join me in the chase.
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How can leaders effectively guard against the allure of 'AI solutionism' and ensure their organizations focus on strengthening core fundamentals before implementing powerful—and potentially risk-magnifying—technologies like AI?

Read more: sunchaser.life/2025/06/05/l...
Lessons From – All-in On AI
“All-in On AI” by Davenport and Mittal explores the transformative potential of AI in businesses, stressing that successful implementation depends on solid foundational practices, effec…
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Attempting to fix a broken model with AI will likely only magnify its flaws.
Per Davenport & Mittal, "AI-fuelled" success is predicated on pre-existing robust fundamentals (model, customer relations, product).

AI's role is acceleration, not creation ex nihilo. Thus, any AI strategy must be preceded by a rigorous assessment of core business health.
Just finished a new book on Sunchaser - "All-in on AI"

Learnt a core principle for AI adoption: AI is not a panacea for business deficiencies; it is an amplifier of existing competence—or incompetence.
What's the most over-the-top AI claim you've seen lately that made your "snake oil" senses tingle? Let's call out the hype! 👇
Often, it's not an oopsie; companies might *knowingly* overhype their AI. So, always dig deeper! Ask: "Cool, but what *kind* of AI is it?" (Generative? Predictive?). Specifics beat vague promises every time. Stay sharp! #Sunchaser #AISkeptic #ResponsibleAI
Seeing a lot of "AI-powered" magic out there? Let's talk "AI Snake Oil" 🐍 – a term for AI that "does not and cannot work as advertised" (thanks, Narayanan & Kapoor!). This means it might just be bad, or the problem is too big for *any* current AI.
How can everyday users push for less biased AI? What questions should we ask before trusting an AI tool? Let's discuss practical steps! 👇
Even the "human feedback" (RLHF) part meant to fix it can add more bias, because the human raters aren't immune! Plus, there are ethical questions about that work itself. 🤔
Let's talk AI Bias – it's a HUGE deal. LLMs learn from us & the internet... which means they learn our prejudices, stereotypes & the views of a limited slice of humanity. 😬
This 'emergence' makes AI both exciting and a bit unpredictable. What's one question you have about where this is heading? Let's brainstorm! 👇
So they act more like 'connection machines' (kinda like our brains!) than typical software. Super powerful, a bit wild, and totally fascinating. What AI 'emergence' has wowed you?

Read more here: buff.ly/nO542WZ
Lessons From – Co-Intelligence
Ethan Mollick’s “Co-Intelligence” dives headfirst into the disorienting world of Generative AI, arguing it’s reshaping workplace dynamics and creativity. As AI blurs the lines bet…
sunchaser.life
Think of them as autocomplete geniuses. BUT then, poof – "Emergence"! They start doing things they were never, ever programmed for – like showing 'empathy' or mastering games. 🤯
Curious how AI like ChatGPT gets so smart? It's not magic, it's "unsupervised learning"! They basically read everything, finding patterns and word connections themselves. No cheat sheets! 🤓
Beyond text generation, where do you see the core principles of the Transformer architecture having the most profound future impact? Discuss the possibilities. 👇
This allowed models (now LLMs) to grasp long-range dependencies and context with unprecedented accuracy, enabling tools like ChatGPT. It marked AI's shift from niche applications to mainstream consciousness, kickstarting the current Generative AI discourse. A true paradigm shift.

buff.ly/nO542WZ
Lessons From – Co-Intelligence
Ethan Mollick’s “Co-Intelligence” dives headfirst into the disorienting world of Generative AI, arguing it’s reshaping workplace dynamics and creativity. As AI blurs the lines bet…
sunchaser.life
2017 was arguably the most critical year in modern AI's trajectory. Google's 'Attention Is All You Need' paper introduced the "Transformer" architecture. Its core innovation, the 'attention mechanism,' fundamentally broke from prior sequential processing limitations (RNNs/LSTMs).
This rapid, often surprising trajectory signifies a transformative era. It necessitates a dual strategy: courageous exploration of potential alongside rigorous caution and societal dialogue regarding its integration and implications. #AI #Acceleration #CognitiveAI #AI_Ethics #TuringTest #Sunchaser
The AI progress curve is not just rising; it's steepening. We're observing a shift from AI as tools to AI exhibiting human-like cognitive capabilities, evidenced by success in complex professional exams (law, medicine) and progress towards benchmarks like the Turing and Lovelace tests.
How much of the 'Organization Man' ethos do you believe still lingers in today's corporate environments, despite the growing appeal of the 'Pathless Path'? Share your observations and insights. 👇
The contemporary "Pathless Path" movement can be seen as a significant counter-narrative to this historically entrenched norm of conformity and the all-encompassing corporate identity.