StizzurpXDD
StizzurpXDD on Hacker News
Posted by
StizzurpXDD on Friday October 23, 2026 @03:12AM
from the self-post dept.
The situation is worse than ever before. Not only have the prices sky-rocketed, adversely affecting both PC and smartphone markets, but Storage crisis has also been dragged into the situation.I have written an informed deep-dive into the current situation in my website Nasengetu. You can simple go to your search engine and search for "Nasengetu Tech" and visit the site to read the article.
Posted by
StizzurpXDD on Wednesday October 07, 2026 @12:52PM
from the self-post dept.
I have written a deep dive into this topic in my website Nasengetu. You can go on Google, search for Nasengetu Tech, and read the latest article. If it doesn't appear, go to the News section of the website.
Posted by
StizzurpXDD on Sunday October 04, 2026 @02:22PM
from the self-post dept.
In my website Nasengetu Tech, I have given a deep dive as to where specifically it lags behind, what are the downsides of the restricted release of the model and suggested solutions for Google DeepMind to consider.You can go on Google search and write "Nasengetu Tech", and visit the site where you can find the article on top.
I have written how is impact the AI Industry in Nasengetu Tech News website.
Posted by
StizzurpXDD on Wednesday August 26, 2026 @01:14AM
from the self-post dept.
Go to Google and Search for "Xiaomi Xring Nasengetu Tech" for the article.
Posted by
StizzurpXDD on Monday June 29, 2026 @09:42AM
from the show-hn dept.
A hub of interactive calculators, with by far the most unique calculators.It is in "nasengetu.com/calculators". Can also search on google "Nasengetu Tech".
Looks very cool, and would love to see on road, but it simply fails as an actual moon buggy.
Firstly, the tyres look like standard air filled ones. The difference in air pressure in the tyres compared to the surrounding vaccum will cause it to explode. For lunar rovers, tyres with no air inside is what works.
Secondly, the steering wheel, ankles, suspension, joints, etc. are completely exposed, which would either boil off or freeze standard lubricants, which rely on atmospheric pressure to stay on.
Third, the fabric roof, and the rubber tyres and the seat cover would either melt or break like glass during lunar day or night, which are the points of extreme temperatures on the moon.
This is the most generic AI guidelines I have seen since ChatGPT was first launched.
DeepSeek is, as I feel currently, the sole AI company which is actually trying to innovate rather than top mere benchmarks. Others like OpenAI, Anthropic and Google are mostly just competeing with each rather than keep innovating around the clock.
News sources. I would have posted a link but as a new account I can't.
Posted by
StizzurpXDD on Saturday June 27, 2026 @01:48AM
from the self-post dept.
They are skipping to "focus more on AI" and to makd M7 "AI powered".
A good way to send encrypted pictures. Just convert the images into audio, and nobody would even think to look at the spectrogram of the audio file. Nice.
If your MacBook has 36GB of memory or less, then the GPU can utilize 66% or 2/3rds of your total memory. If, however, your MacBook has 36GB or more memory, then it can utilize 75% or 3/4ths of your total memory.
This is just a software limit, so when I want to run AI models on my MacBook, I just increase the allocation using Terminal.
Dedicated GPU memory is fixed. It can't be altered at all and cannot be used for other tasks either. For example, in MacBooks, if the GPU is idle, the CPU can utilize almost 100% of the total memory because they share a common memory pool, but in a dedicated GPU setup, if the GPU is idle, then the fixed VRAM memory (8GB, 12GB, 16GB, etc.) cannot be utilized by any other component of the PC.
Also, in a dedicated GPU setup, the system RAM and VRAM are physically separated. If a CPU loads a large dataset, it has to copy it across the motherboard to the GPU. Because MacBooks have a shared memory pool for both the CPU and the GPU, no copying is required, which makes dataset handoffs much faster than in a dedicated GPU setup.
The title of the first post is crealy readable, while the rest of the texts and numbers are glitched.
It's cool though.
What are the sources of 'Win it', 'Reach Finals', and 'Reach Semis' predictions?
Posted by
StizzurpXDD on Friday June 26, 2026 @11:57PM
from the self-post dept.
The US government recently gave a directive to OpenAI to delay the launch of it Fable 5 rival GPT 5.6 Sol. This comes after they have already put on hold the global public release of Claude Fable 5. Isn't this just creating an AI monopoly, where the most powerful AI models are restricted to only 'trusted US organization'?
At Google I/O in May 2026, CEO Sundar Pichai announced that Google's upcoming frontier model, Gemini 3.5 Pro, would launch in June. However, the company has now delayed the release to July, citing the need to “gather more real-world feedback”.
Posted by
StizzurpXDD on Thursday June 25, 2026 @05:11AM
from the self-post dept.
Here it is. It appeared because of a glitch. I can't figure anything out of this, looks very simple to me, but maube others might see a pattern:thought
The user wants to get the subtitles for a Doraemon episode translated from Japanese to English.
The user provided a large subtitle file (Paste June 25, 2026 - 2:06PM) containing a total of 1568 lines.
My previous response (as shown in the...
Posted by
StizzurpXDD on Wednesday June 24, 2026 @09:13AM
from the nasengetu.com dept.
I write news articles on nasengetu.com, and make calculators & tools for a living.
Posted by
StizzurpXDD on Tuesday June 23, 2026 @08:57AM
from the nasengetu.com dept.
With a "dormant May" and Google about to release Gemini 3.5 Pro, I have explained how this can make the AI race "wilder".
I have the website which I built in which it got stuck in a thinking loop. But it won't show any of the 100 tests I did. I am thinking of writing an article on this though. If you want to see, the site's Nasengetu. It is indexed so you can find it in Google search.
I have multiple examples. Just yesterday, when I was trying to implement a caching system for my website Nasengetu, and it completely stuck in a loop-where it runs a log fetch using the git command and then thinks about the result, then runs the command again, and think again. And this repeated until I stopped it when it almost completely exhausted my five hour request limit.
It has become too common recently, even when the models used are same.
All the tasks done were in Google Antigravity 2.0.
Posted by
StizzurpXDD on Tuesday June 23, 2026 @05:00AM
from the self-post dept.
Using Google Antigravity and Google AI Studio, I have noticed that Gemini models, which includes 3.1 Pro and 3.5 Flash, are increasingly stucking in thinking loops. It has become much more common. So I did a 100 tasks test and out of them, 3.5 Flash got stuck in a loop 23 times, while 3.1 Pro was a lower 16 times.
This just shows that Google needs to double down on its AI models fast. Even open source chinese models are beating 3.1 Pro and 3.5.Flash in almost everything.
Posted by
StizzurpXDD on Tuesday June 23, 2026 @12:17AM
from the nasengetu.com dept.