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- OG Approved - No BS Tech News # 87
OG Approved - No BS Tech News # 87
š Welcome to the Real AI Conversation
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Itās a frontline dispatch from where AI meets ROI. Weāre not hyping trendsāweāre dissecting what works, calling out what doesnāt, and showing you how to stay ahead without losing your mind (or your job).
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Real-world lessons from boardrooms, factory floors, and code bases
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āOG
Latest Industry Trends and News šš
š āI have to do itā: Why one of the worldās most brilliant AI scientists left the US for China
š”Whatās the Big Idea?
A world-class AI pioneer left the US to drive Chinaās state-backed AI race, marking a notable shift in global scientific migration.
š Key Takeaways for Readers:
1. Zhuās move highlights how the US is losing top AI talent due to politics, funding cuts, and rising hostility toward Chinese-born researchers.
2. China now treats AI as a national priority on par with nuclear weapons, with Zhu at the center of its strategy.
3. The talent flow that once fueled US dominance is shifting, threatening Americaās innovation edge.
ā” Why It Matters (OG lens):
This is more than one manās career choiceāit signals a geopolitical power shift where AI talent is the new nuclear arms race.
āOG Rating:
4.5 / 5 ā powerful narrative, essential reading on the talent geopolitics of AI, but slightly US-China binary.
š”Whatās the Big Idea?
Microsoftās AI chief argues that machine āconsciousnessā is a dangerous illusion created by mimicry, not reality.
š Key Takeaways for Readers:
1. AI may appear conscious, but itās an engineered simulationāmistaking mimicry for reality risks granting rights or moral weight to machines.
2. Suleyman warns that designing AIs to seem self-aware could derail safety, alignment, and governance.
3. Consciousness isnāt the basis for rights; suffering isāand machines donāt suffer.
ā” Why It Matters (OG lens):
The fight isnāt about sentience, itās about controlāleaders must keep AI as a tool, not a pseudo-being.
āOG Rating:
4 / 5 ā sharp framing and clarity, but leans philosophical rather than operational.
š”Whatās the Big Idea?
Lovable turned āAI that builds apps by voiceā into one of the fastest-growing startups in history, scaling from zero to $100M ARR in under a year.
š Key Takeaways for Readers:
1. Lovable empowers non-coders to create software by simply talking to AIāopening a massive untapped market.
2. The company hit unicorn status at lightning speed, with valuations already nearing $4B.
3. CEO Anton Osikaās CERN-to-startup journey shows how deep tech credibility plus consumer-first design fuels hypergrowth.
ā” Why It Matters (OG lens):
This isnāt just another startupāitās a template for how AI can collapse barriers and unleash a new wave of consumer innovation.
āOG Rating:
5 / 5 ā a rare ālightning in a bottleā story with both vision and execution, perfect founder-market fit.
š”Whatās the Big Idea?
Agentic AI is poised to take over much of peopleās financial livesāpulling together scattered accounts, giving advice, and even executing movesāmaking high-end financial planning accessible beyond just the wealthy.
š Key Takeaways for Readers:
1. Large financial institutions like Vanguard, BlackRock, and eToro are already deploying or developing AI tools that go well beyond customer service: portfolio rebalancing, debt optimisation, account aggregation, trading by strategy, etc.
2. For many middle-class or tech-savvy folks who canāt afford a full financial advisory team, these AI agents could democratise access to financial planning and management.
3. But with great capability come risks: liability, mistakes, overly risky advice, and the challenge of balancing autonomy with guardrails. Institutions are being cautious because financial errors have significant consequences.
ā” Why It Matters (OG lens):
This shift could reshape who controls your financial decisionsāmaking AI assistants central, not just as tools but as de facto partners in your financial life.
āOG Rating:
4 / 5 ā very strong. Signals a major inflection point in fintech & AI adoption. Loses half a point because of remaining open questions: regulation, trust, responsibility.
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