kaopeter

[Satya Nadella @satyanadella]

https://t.co/xv6csf1SbV

[kaopeter @kaopeter]

claude dead

[kaopeter @kaopeter]

@thewhiterabbit Can you have full version?

[kaopeter @kaopeter]

@pingzhang632 @xdownloaderbot download this

[Shay Boloor @StockSavvyShay]

INSIDE THE $1T AI ECONOMY

• $NVDA sells the compute every AI system runs on
• $MSFT packages AI into software & cloud for enterprises
• $AMZN turns AI demand into sustained cloud & logistics monetization
• $GOOGL creates AI demand through search & monetizes it through ads & cloud
• $META uses AI to compound attention & extract more value per ad
• OpenAI sells intelligence directly as a product
• $ORCL locks in enterprise AI workloads via OCI
• $AMD supplies alternative AI compute at scale
• $AVGO provides the silicon & networking that connects AI systems

[kaopeter @kaopeter]

@elonmuskmel7 32

[kaopeter @kaopeter]

@elonmusk Google is awesome

[kaopeter @kaopeter]

@musk_news13 96

[Andrew Ng @AndrewYNg]

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 ]

[kaopeter @kaopeter]

@BRICSinfo @grok explains

[Satya Nadella @satyanadella]

Jevons paradox strikes again! As AI gets more efficient and accessible, we will see its use skyrocket, turning it into a commodity we just can't get enough of. https://t.co/omEcOPhdIz

[Elon Musk @elonmusk]

The Blindsight device from Neuralink will enable even those who have lost both eyes and their optic nerve to see.

Provided the visual cortex is intact, it will even enable those who have been blind from birth to see for the first time.

To set expectations correctly, the vision will be at first be low resolution, like Atari graphics, but eventually it has the potential be better than natural vision and enable you to see in infrared, ultraviolet or even radar wavelengths, like Geordi La Forge.

Much appreciated, @US_FDA!

[kaopeter @kaopeter]

@CodeByPoonam Useful

[kaopeter @kaopeter]

@NVIDIAGeForce #BlackMythRTX nice

[Elon Musk @elonmusk]

Starlink just achieved a new internal median latency record of 28ms yesterday!

Great work by the engineering and operations teams.

[Leaders 𝕏 Junction @LeadersJunction]

It's Important to Have a Good Social Life,

Here are 8 Sentences That Will Maximize Your Social Intelligence:

[kaopeter @kaopeter]

@elonmuskTN 16

[kaopeter @kaopeter]

@elonmuskADO 4 before mirror

[kaopeter @kaopeter]

@elonmuskADO No