Siddhant Oswal

@adiix_official NVIDIA: "You'll need a data center." AMD: "Here's a lunchbox."

AMD CEO Lisa Su just killed Nvidia’s $4,000 AI box with a $1,499 lunchbox. She walked on stage, held it in one hand, and ran a 235 billion parameter model live. No data center. No cloud. No rented GPU. The chip inside is something nobody saw coming. AMD’s Ryzen AI Max+ 395 is the first x86 silicon where CPU and GPU share the same 128GB of memory. That single trick lets a desktop run models that used to need a server rack. Out of those 128GB, Linux hands the GPU 110GB to play with. For context, an RTX 5090 gives you 32GB. A 4090 gives you 24. This box gives you more than three times either of them, in a chassis the size of a thick paperback. The benchmark that broke the room: this chip beat an Nvidia RTX 5080 by more than 3x on DeepSeek R1 inference. A $1,499 lunchbox outrunning a $1,000 discrete graphics card on a real AI workload. Nvidia spent a decade convincing the world you needed their hardware for serious AI. AMD just put that on a desk for half the price. Here is what nobody is telling you. A heavy AI user right now pays $200 for Claude Code Max, $200 for ChatGPT Pro, $20 for Cursor, $20 for Gemini. That is $5,280 a year leaving your account. The box pays itself off in 9 months and then runs free for the rest of its life. Install Ollama. Pull Qwen3 235B. Point Claude Code at localhost. Same interface you already use, except now nothing leaves your machine, nothing costs per request, and no company throttles your usage at 3am when you finally have time to build. This is the moment every AI subscription becomes optional. Lawyers stop fearing OpenAI leaks. Developers stop watching the token meter. Founders stop renting H100s for prototypes that never ship because the bill scared them. The first thousand people to figure this out will own the next two years of private AI consulting. Save this, and read the full breakdown article below you are watching the next shift hit before everyone else does.

@ravikiran_dev7 Turns out building OpenAl required a slightly different skill set than solving LeetCode mediums.

CEO of OpenAI btw

@XFreeze The cost difference is hands the biggest leverage @SpaceX has got, without it they would have not outpaced their competitors with such speed in so little time

SpaceX is solving the biggest bottleneck in spaceflight The COST For decades, the average launch cost to low Earth orbit was around $18,500 per kg Falcon 9 cut that to about $2,700 per kg - roughly an 85% reduction Falcon Heavy pushed it closer to $1,400 per kg - roughly a 92% reduction Now Starship is targeting a 99%+ cost reduction through full and rapid reusability That is the real breakthrough Every booster landing, every reflown rocket, every faster turnaround is directly attacking the economics of space Lower cost per kg means more satellites, bigger payloads, orbital manufacturing, Moon missions, Mars missions, space stations, and eventually space-based industry SpaceX is not just building rockets It is making space usable at scale

@MrBeast Should we rather call it the dimanon button?

All the YouTube Play Buttons

@gabriel_va91354 @karpathy Yes that is very true. Habitual and then not getting it again is difficult to deal with

@karpathy @Siddhos A useful tell: if people would still miss the thing if it became free tomorrow. Revenue can lag value for years, but absence gets noticed fast.

@Siddhos sometimes money and "genuine, positive, non-zero sum value creation" are not highly correlated, and sometimes they *really* are. well-earned!

@elonmusk If my agent is using my 300-line skills.md file, I expect royalties.

Interesting

@karthikponna19 Because it is his problem.

X is the only platform where you can talk to a trillionaire

@satyanadella At some point we're going to need a "Contributed to Model Training" section on LinkedIn.

@satyanadella Spent 10 years building expertise. Spent 2 weeks turning it into a markdown file. Now the markdown file works weekends too.

@satyanadella The market spent the last 2 years debating which model would win. Increasingly, it feels like the winning question is: Which ecosystem learns the fastest? Models are becoming commodities faster than distribution, workflows, data, and user trust.

@boaz_mucu Might be true. I have come across more engineers than other professions.

@Siddhos I think it cuts across all professions

An engineer decides his/her career only after completing engineering How many of you are engineers here but working in a completely different domain now?

@Palak3312 Congratulations!! What were the exact strategies that worked for you ?

🚨 MONETIZED IN 70 DAYS 🚨 Started with nothing. 70 days later: ✅ X Monetized ✅ 5M+ Impressions ✅ 76K+ Engagements ✅ Growing Community To everyone who liked, reposted, replied, or followed: This win belongs to YOU. ❤️ We're just getting started. Next goal: $1,000/month from X. 🚀🔥 Who's with me? 👇❤️

@Amank1412 Finally codex would be worth working with again.

Another GPT-5.6 leak Rumors say OpenAI could drop GPT-5.6 on June 23. > Its 3× cheaper than Fable > Up to 1.5M token context > Stronger agentic coding workflows > Direct competition with Claude style systems The timing is interesting. Some think OpenAI is waiting for June 23 when many Fable users are forced onto premium plans. If true... Will GPT-5.6 cook Fable? Lets discuss in comments.

@Im_pritam18 @nvidia Is his name @Im_pritam18 ?

A small town boy from india. Not from elite academic background. Learnt AI on his own Bagged 2cr package @nvidia as deep learning engineer

@dianejov1 Launching it soon. Stay tuned

@Siddhos What are you working on atm

Can I finally have my own solo faceless YouTube channel now?

@yacineMTB They will definitely lead with the frontier models. They just need one big release and I bet they have already started preparing for this.

Remember, open source models are only ~4 months behind now

@WhaleInsider I see China is the only country that is getting it right at this moment. Updating education rules, bringing in RND, low cost LLMs, big economy. Why are other countries not taking any inspiration?

JUST IN: 🇨🇳 China eliminates 12,000 ‘obsolete’ university degrees in push to prepare for the AI era​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​.

@yatharthmann An engineer decides his/her career only after completing engineering Engineering teaches you what you should do after engineering

Elon Musk is an engineer. Jeff Bezos is an engineer. Larry Elison is an engineer. Larry Page is an engineer. Sergey Brin is an engineer. Jensen Huang is an engineer. Turns out capitalism does reward skills and intelligence, and the richest people are indeed engineers.

@abhijitwt And we still call them jealous. Does not matter if you are born rich, the point is he did put in that much of hardwork and efforts. Luck is there but without hardwork it's useless

This tweet lives rent free in my head