Eklavya was known for learning advanced archery just by emulating the teachings of his guru Drona. Daniel Kahnemann is my guru, may his words keep lifting up the awareness about biases and heuristics throughout the human realm. Surely the gods are happy to have you up there!!
Charlie Munger's first rule of compounding: never interrupt it unnecessarily.
In the AI era, everyone's chasing the next shiny model, the next pivot, the next hype cycle.
The real wealth is built by those who pick a direction and compound skills, capital, and relationships
10 major AI strategy reports dropped recently — McKinsey, BCG, OpenAI, IBM, Anthropic, Accenture, EY, Bain.
The convergent signal: the skills that made you valuable in 2024 will make you replaceable by 2027.
6 skills that get STRONGER as AI disruption accelerates:
6/ Domain Data Strategy
As AI models commoditise, proprietary data becomes the last moat.
IBM: data integration (60%) and quality (56%) are top barriers.
Insurance has untapped data — bordereaux, claims triangles, exposure models. Structure it for AI and you're irreplaceable.
The antifragility test:
Agents automate 90% of tasks — you design the workflows
Middle management collapses — you're the orchestrator
AI hype crashes — your governance skills spike in value
Regulators crack down — you bridge tech & compliance
Build skills that love volatility,
Viktor Axelsen seemed like he was sandbagging at the beginning of each game against Lakshya Sen @ Olympic semi final today Letting the youngster become overconfident then doing a full send when it matters #badminton#olympics24#Paris2024
Completely agree LLMs have already been overinvested in both financially and intellectually. Its clear that LLMs are always going to be limited in all aspects of reasoning and planning.
If you are a student or academic researcher and want to make progress towards human-level AI:
>>>DO NOT WORK ON LLMs<<<
LLMs are an off ramp.
Thousands of engineers are working on LLMs with enormous computing resources.
The only way you could possibly contribute is by analyzing existing LLMs and showing their power and limitations.
But it's more fun and impactful to come up with new ideas and new architectures and show that they might work, even on small problems.
This might surprise you given limited understanding of speciality insurance domain. I am pretty sure this policy wording or similar wordings have existed since last 50 years. Its just prudential to manage risk and avoid getting wiped out due to a 1 in a million probability event
When billionaires start building nuclear bunkers, NATO conduct expansive training exercises, France propose deploying troops, The UK start comparing NATO vs Russian army sizes and….
Insurance policies start including ‘war exclusion policies’….
It’s probably a good time to wake up.
🚨 Breaking news:
Google just introduced ScreenAI, and it's wild.
This is going to transform the future of UX forever
Here's everything you need to stay ahead of the curve: 🧵 👇
Mobile ALOHA's hardware is very capable. We brought it home yesterday and tried more tasks! It can:
- do laundry👔👖
- self-charge⚡️
- use a vacuum
- water plants🌳
- load and unload a dishwasher
- use a coffee machine☕️
- obtain drinks from the fridge and open a beer🍺
- open doors🚪
- play with pets🐱
- throw away trash
- turn on/off a lamp💡
Project website: https://t.co/9rzIX8wLEp
Co-lead @tonyzzhao, advised by @chelseabfinn
(amazing photographing from @qingqing_zhao_ )