We spend all week researching the top AI tools so you don't have to...
Get insights, tools, and news for free when you join our community of 150,000+ readers.
Click the image below to subscribe for free 👇
@IndiGo6E@AnilAga15534965 Completely understand it’s not okay to share the flight delay information to passengers in advance. So that passengers could make alternative arrangements. Only lunch was provided. Weather can’t be controlled but service to passengers definitely could be improved.
Deeply saddened to hear of the passing of Gita Mehta, eminent author, war correspondent, daughter of the legendary Biju & Gyan Patnaik, sister of businessman Prem & Odisha CM Naveen Patnaik.
Having been close family friends, i recall her wit & intelligence as a great raconteur & alongwith her late husband, publishing titan Sonny Mehta, her many kindnesses & wonderful hospitality.
A charismatic, opinionated, fiesty personality, she will be greatly missed.
With deepest condolences to the family & prayers for the departed soul.
Om Shanti 🙏🙏🙏
+ Road trips: if you are the kind who likes to go on a monthly drive out, I'd approach EVs with caution. Having a ICE (internal combustion engine) car as a back up is essential.
Highway charging is both sparce and unreliable at the moment, and everyone in India knows our poor electricity infra outside the metros. I've driven into a HP coco petrol pump with 2 50w dc chargers on a highway, only to be told "sir power cut chal raha hain".
Also, you'd have to manage range by driving steadily if you're not 100% sure of charging stations.
Overall, do it if you're adventurous, but this is not for the faint of heart. 🙈
I was surprised by a talk Yejin Choi (an NLP expert) gave yesterday in Berkeley, on some surprising weaknesses of GPT4:
As many humans know, 237*757=179,409
but GPT4 said 179,289.
For the easy problem of multiplying two 3 digit numbers, they measured GPT4 accuracy being only 59% accuracy on 3 digit number multiplication. Only 4% on 4 digit number multiplication and zero on 5x5. Adding scratchpad helped GPT4 but only to 92% accuracy on multiplying two 3 digit numbers.
Even more surprisingly, finetuning GPT3 on 1.8m examples of 3 digit multiplication still only gives 55 percent test accuracy (in distribution).
¯\_(⊙︿⊙)_/¯
So whats going on? Multiplication is algorithmically very challenging (as are less known algorithmic problems).
The authors hypothesize that Transformers have a hard time because they learn linear patterns that they can memorize, maybe compose, but not generally reason with. The paper raises interesting theoretical and practical questions on understanding what Transformers can learn.
The paper
"Faith and Fate: Limits of Transformers on Compositionality" says:
"Our empirical findings suggest that Transformers
solve compositional tasks by reducing multi-step compositional reasoning into
linearized subgraph matching, without necessarily developing systematic problem solving skills"
@anurag_knows@RaoSumukh The purpose of introducing this is to standardise charging technology and reduce e-wastage as per EU mandates especially. What you said cannot happen.
In France🇫🇷, 1 in every 3 lightbulbs is powered by Uranium from Niger🇳🇪. Meanwhile in Niger, 80% of people do not have access to any electricity.
Follow .@Africa_Archives
Python is removing the GIL.
The GIL (Global Interpreter Lock) prevents you from running multi-threaded code.
That makes ML code, in particular, really hard to write in pure Python.
Here's what it takes to remove the GIL:
The most Influential Biases on your Decision-Making:
1. Illusion of Skill - We regularly confuse luck with skill because we solely focus on outcomes.
2. Recency Bias - We tend to put too much weight on recent events.
3. Anchoring - Our judgment is heavily screwed by the first information we are given about something.
4. Regression - We love to see cause-effect relationships where none exist.
Everything, always, regresses to its mean!
5. Hindsight Bias - In retrospect, events seem more predictable than they actually were.
6. Halo Effect - You either like or dislike everything about someone or something. Nothing in between.
7. Loss Aversion - Losses weigh twice as much as the equivalent gain.
Because of that, we reject gambles where chance would favor us.
8. Commitment Bias - We have a tendency to remain committed to our past behaviors and opinions.
Particularly when expressed publicly, even if they do not have desirable outcomes.
9. WYSIATI - What you see is all there is.
You can't consider what you don’t know.
Paradoxically, knowing less also increases your confidence about being right.
What Bias did I miss?
Biomass is the SCAM that we all fell for
Biomass is not carbon neutral, sustainable or green 🪵
Let's debunk the myth of biomass as a climate friendly energy source, and explore why even 'green' countries like Denmark may not be as eco-friendly as they seem.
A thread 🧵
(1/17)