@GurpriyaSidhu So true. I think about lost friendships more than lost love. When things are volatile in love you often want to take solace in friendships but that’s so difficult to achieve because we are ourselves in transit.
@arpit_bhayani I recently worked on a claude skill by giving some context basd on the patterns that I saw in code. The way I figured that context could be better is by noting when the LLM was getting confused and took longer to respond and asked what could be improved.
@arpit_bhayani I enhanced the skill iteratively with the suggested improvements. The better you know all the steps and tools that should be invoked for a particular use case, the better the skill works. Also good to have exit route from each step so that it’s guessing doesn’t compound.
He walked the talk and always delivered. That kind of leadership goes beyond cricket—it’s universally inspiring. Thank you, Virat, for pushing me to lead better in my own field. I’ll miss you being you on the field.
Ik you’ll be proud of what u’ve done. Best wishes @iVkohliii
Only few can have the impact like Virat had on people in Test cricket.
He brought out the best from not just his team but forced other teams to play extraordinarily well both physically and mentally if they wanted to win against him.
@imVkohli
Some people today are discouraging others from learning programming on the grounds AI will automate it. This advice will be seen as some of the worst career advice ever given. I disagree with the Turing Award and Nobel prize winner who wrote, “It is far more likely that the programming occupation will become extinct [...] than that it will become all-powerful. More and more, computers will program themselves.” Statements discouraging people from learning to code are harmful!
In the 1960s, when programming moved from punchcards (where a programmer had to laboriously make holes in physical cards to write code character by character) to keyboards with terminals, programming became easier. And that made it a better time than before to begin programming. Yet it was in this era that Nobel laureate Herb Simon wrote the words quoted in the first paragraph. Today’s arguments not to learn to code continue to echo his comment.
As coding becomes easier, more people should code, not fewer!
Over the past few decades, as programming has moved from assembly language to higher-level languages like C, from desktop to cloud, from raw text editors to IDEs to AI assisted coding where sometimes one barely even looks at the generated code (which some coders recently started to call vibe coding), it is getting easier with each step.
I wrote previously that I see tech-savvy people coordinating AI tools to move toward being 10x professionals — individuals who have 10 times the impact of the average person in their field. I am increasingly convinced that the best way for many people to accomplish this is not to be just consumers of AI applications, but to learn enough coding to use AI-assisted coding tools effectively.
One question I’m asked most often is what someone should do who is worried about job displacement by AI. My answer is: Learn about AI and take control of it, because one of the most important skills in the future will be the ability to tell a computer exactly what you want, so it can do that for you. Coding (or getting AI to code for you) is a great way to do that.
When I was working on the course Generative AI for Everyone and needed to generate AI artwork for the background images, I worked with a collaborator who had studied art history and knew the language of art. He prompted Midjourney with terminology based on the historical style, palette, artist inspiration and so on — using the language of art — to get the result he wanted. I didn’t know this language, and my paltry attempts at prompting could not deliver as effective a result.
Similarly, scientists, analysts, marketers, recruiters, and people of a wide range of professions who understand the language of software through their knowledge of coding can tell an LLM or an AI-enabled IDE what they want much more precisely, and get much better results. As these tools are continuing to make coding easier, this is the best time yet to learn to code, to learn the language of software, and learn to make computers do exactly what you want them to do.
[Original text: https://t.co/HdI3Jb9HmF ]
India's approach to high taxation is creating massive dissatisfaction.
When things are not working, we need to take a different approach. This is fairly common-sensical.
Widening the tax base. And, cutting taxes for everyone is the need of the hour.
- It gives people more money to spend.
- Makes people pay their fair dues.
- Reduces pressure from existing direct taxpayers.
The problem is political feasibility of such an action.
But, it is high time ---someone does it.