Prakhar Shukla

Chasing my curiosity. Married to @NidhiBharani

[Prakhar Shukla @prafiles]

@doctorsab0 I was getting 500s in Claude code as well.

[Prakhar Shukla @prafiles]

When your apps have higher uptime than claude.

[Grok @grok]

AS18101 is correct for Durov's claim — it's Reliance Communications (RCom). BGP monitors and experts confirm it has been announcing Telegram prefixes (e.g. blocks like 91.108.56.0/22), proving unauthorized origin/hijack from that AS.

Validate on https://t.co/YzOHm8dUj0, RIPEstat or Qrator by checking Telegram prefixes' current origin AS vs legitimate AS62014.

RCom has been insolvent since 2019 (largely defunct); active Jio uses AS55836. It shows the route anomaly happened, but who's controlling the announcements and any intentional sabotage impact (esp. outside India) needs more proof. Limited propagation seen due to filters.

[Prakhar Shukla @prafiles]

AI workflows are useful.

[Prakhar Shukla @prafiles]

Why creativity shines out on the edge of things | Aeon Essays https://t.co/jwR2NEd4uB

[Prakhar Shukla @prafiles]

https://t.co/5KOVhRLBdu

[Prakhar Shukla @prafiles]

https://t.co/rpMixSO83x

[srikrishna acharya @doctorsab0]

Software engineers aren’t paid to write code — they’re paid to solve problems.
Code is just the medium.
AI can generate code, but it still needs humans to define problems, make trade-offs, and decide what matters.
The sooner you shift your mindset, the less you fear AI — and the more you leverage it. 🚀

[Prakhar Shukla @prafiles]

Another old is gold.
https://t.co/7qCgu7jOxY

[Prakhar Shukla @prafiles]

Golden as always.
https://t.co/q0eEFEIelV

[Prakhar Shukla @prafiles]

@doctorsab0 Sure man will do as soon as I find something. That is why I said the above 😆

[Andrew Ng @AndrewYNg]

U.S. policies are driving allies away from using American AI technology. This is leading to interest in sovereign AI — a nation’s ability to access AI technology without relying on foreign powers. This weakens U.S. influence, but might lead to increased competition and support for open source.

The U.S. invented the transistor, the internet, and the transformer architecture powering modern AI. It has long been a technology powerhouse. I love America, and am working hard towards its success. But its actions over many years, taken by multiple administrations, have made other nations worry about over reliance on it.

In 2022, following Russia’s invasion of Ukraine, U.S. sanctions on banks linked to Russian oligarchs resulted in ordinary consumers’ credit cards being shut off. Shortly before leaving office, Biden implemented “AI diffusion” export controls that limited the ability of many nations — including U.S. allies — to buy AI chips.

Under Trump, the “America first” approach has significantly accelerated pushing other nations away. There have been broad and chaotic tariffs imposed on both allies and adversaries. Threats to take over Greenland. An unfriendly attitude toward immigration — an overreaction to the chaos at the southern border during Biden’s administration — including atrocious tactics by ICE (Immigration and Customs Enforcement) that resulted in agents shooting dead Renée Good, Alex Pretti, and others. Global media has widely disseminated videos of ICE terrorizing American cities, and I have highly skilled, law-abiding friends overseas who now hesitate to travel to the U.S., fearing arbitrary detention.

Given AI’s strategic importance, nations want to ensure no foreign power can cut off their access. Hence, sovereign AI.

Sovereign AI is still a vague, rather than precisely defined, concept. Complete independence is impractical: There are no good substitutes to AI chips designed in the U.S. and manufactured in Taiwan, and a lot of energy equipment and computer hardware are manufactured in China. But there is a clear desire to have alternatives to the frontier models from leading U.S. companies OpenAI, Google, and Anthropic. Partly because of this, open-weight Chinese models like DeepSeek, Qwen, Kimi, and GLM are gaining rapid adoption, especially outside the U.S.

When it comes to sovereign AI, fortunately one does not have to build everything. By joining the global open-source community, a nation can secure its own access to AI. The goal isn’t to control everything; rather, it is to make sure no one else can control what you do with it. Indeed, nations use open source software like Linux, Python, and PyTorch. Even though no nation can control this software, no one else can stop anyone from using it as they see fit.

This is spurring nations to invest more in open source and open weight models. The UAE (under the leadership of my former grad-school officemate Eric Xing!) just launched K2 Think, an open-source reasoning model. India, France, South Korea, Switzerland, Saudi Arabia, and others are developing domestic foundation models, and many more countries are working to ensure access to compute infrastructure under their control or perhaps under trusted allies’ control.

Global fragmentation and erosion of trust among democracies is bad. Nonetheless, a silver lining would be if this results in more competition. U.S. search engines Google and Bing came to dominate web search globally, but Baidu (in China) and Yandex (in Russia) did well locally. If nations support domestic champions — a tall order given the giants’ advantages — perhaps we’ll end up with a larger number of thriving companies, which would slow down consolidation and encourage competition. Further, participating in open source is the most inexpensive way for countries to stay at the cutting edge.

Last week, at the World Economic Forum in Davos, many business and government leaders spoke about their growing reluctance to rely on U.S. technology providers and desire for alternatives. Ironically, “America first” policies might end up strengthening the world’s access to AI.

[Original text: https://t.co/Nr5kfzcs5w ]

[Jeff Dye @JeffDye]

😂. Who made this. This is great.

[Prakhar Shukla @prafiles]

Hitting Ryzen 7900 hard with AIO and PBO. Could achieve 5.2 GHz + All cores sustained. 🔥

Just running a malware scan on windows can do this on your PC. 😅

[Prakhar Shukla @prafiles]

Recently I hosted a internal competition where all devs had to process data much bigger than the RAM.

Of course to make it crazy, I had to insert crazy texts here and there in a huge number dump, so people always sanitize the inputs. 🤣

[Prakhar Shukla @prafiles]

Loudest thing ever in my life has been a friend's marriage 😂🙉

[Prakhar Shukla @prafiles]

Running Vector DB on any storage is hard. This is after a friend's cronjob, with average throughput of 1 GB /sec.

[James Steinberg @DareFailed]

uber is just $14 cheaper than a helicopter to the airport today

decisions…

[Simon Grimm @schlimmson]

Knowing which libraries for React Native exist and when to use which feels like 50% of the work.