Podcast on timelines, implications & responses to AGI

Hacker News

Like all of you here on HN, I love building & understanding technology. Several years ago, I read about the possibility & potential implications of artificial general intelligence (AGI) and it was arguably the most transformative thing I'd ever read about a piece of technology. I believe AGI is closer than most think - probably in our lifetimes. That means we're likely to enter the most exciting but also most disruptive period in human history. Cutting edge models like ChatGPT & DALL-E have convinced me the time to pay attention is now. I want to ensure this future is positive & beneficial for our world. That's why I've started a podcast, The AGI Show (www.theagishow.com) to interview AI experts & understand the timelines, pathways, & implications of AGI, and to share those learnings with everyone as I go. I have a huge amount of respect for some of the incredible minds that frequent HN and would love your perspectives on the podcast and the future of AGI. Please check it out and let me know what you think, so we can build an incredible, positive future together .

Visit product View on Hacker NewsJan 12, 2023

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting

77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: model, models, chatgpt · Missing: mac, agents, macos

70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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