30 year old weirdo.
Joined September 2020
- Tweets26.5K
- Following659
- Followers1.2K
- Likes33.9K
Vijay retweeted
Tried once youtube.com/watch?v=SsYyqnu3… Got some good feedback too. But kind of got lazy and gave up.
Vijay retweeted
people should start #StandWithJason
these influencers whom got affected before are ganging up against him because of past.
what’s happening to him now isn’t right
influencers can’t be unaccountable just because they’ve distribution
Vijay retweeted
I am deeply saddened, heavily grieving, shocked and frozen at what has happened and I mourn the loss of life.
I have not cyber-bullied him. I pointed out his lack of license and authority, misrepresentation of license and fraud on SEBI and AMFI where he has not got SEBI RIA for his work and misrepresented that he had an AMFI license when he got the ARN only recently. i.e., his illegal activity.
I literally asked him in the video to come back and do this with a proper SEBI license. I never intended or expected this drastic measure to happen and I mourn the loss.
Vijay retweeted
My unsolicited 2 paisa.
If you're not great in academics, not getting placed and staring down a dead-end white collar job, do this ➡️ Unga extended family, friends of your parents, your friends' parents, idhula yaarachu oru sila paer successful business people iruppaanga...contd
IT அல்லாத White collar வேலைகளின் சம்பளத்தை விட பேப்ரிகேட்டர், வெல்டர் எலக்ட்ரீசியன் போன்ற Blue collar வேலைகளுக்கான சம்பளம் தற்போது அதிகரித்து உள்ளது.
மாத சம்பளமாக 30000 முதல் 40000 வரை ஆரம்ப நிலையிலேயே கிடைக்கிறது.
மக்கள் தொகை குறைந்து வரும் நாடுகளில், அனுபவமிக்க Blue collar பணியாளர்களுக்கு வலுவான சம்பளம் காத்திருக்கிறது.
Arts and Science முடித்து அரசுப் பணியில் இல்லாதவர்கள், இது போன்ற Skilled பணிகளுக்கு திரும்பினால், நல்ல சம்பளமும் எதிர்காலமும் உண்டு.
Vijay retweeted
wat. nanoGPT, but it trains inside a tweet.
GPU-poor final form
tap and press train
thomwolf-premiers-mots.stati…
Vijay retweeted
Our SynthID technology lets you easily verify if an image, video, or audio file is AI-generated, and today we’re expanding access.
Now anyone can go to synthid.com to check files for a SynthID watermark — whether they were generated by us or industry partners like @OpenAI, @nvidia, Kakao, and, coming soon, @Apple.
To date, we’ve watermarked 180 billion images and videos and more than 240,000 years of audio content, regularly handling 1 million verification requests daily.
This new portal joins our built-in verification features already live in Search, @GeminiApp, and @googlechrome.
Vijay retweeted
working on live sports like annotator and assembly speech analyzer. some small bugs to fix.
Vijay retweeted
Small update: Instead of taking action against the officials involved, they are checking CCTV footage to identify who took the photos and submitted the complaint to @makkal_saatchi 🤦🏻♂️
@CMOTamilnadu I leave this to you: Will action be taken against the corrupt officials or against the citizen who exposed them? 🙃
Anna Nagar: Another complaint received through Makkal Saatchi says the same Metro Water AE collected ₹2 lakh for water and sewerage connections to an under-construction commercial building on 3rd Avenue without any online application.
After the previous complaint, the illegal connections were disconnected but no action was taken against AE Bharath.
How many more such connections have been given? An immediate investigation is needed.
Full Complaint : makkal-saatchi.com/report-de…
@CMOTamilnadu @GSBediIAS @sukhaputra1 @CHN_Metro_Water @tnmaws
Vijay retweeted
astonishing blogpost from Shengyu Liu (刘胜与, also known as interestingLSY/intlsy), kernel engineer at DeepSeek. The first part is his personal struggle with the fact that his work is about to render his beloved craft obsolete. The second is…
well. let's just say we agree.
Vijay retweeted
GPT-Astra spent 36 hours on this goal.
Introducing Project Khanan ⛏️
an open-source effort by GPT and me to use publicly available data to identify parts of India that may have undiscovered rare-earth and other mineral potential.
We divided India into 88,857 H3 cells (~36 km² each) and mapped each region individually.
We then combined data from 700+ mines, 1,500+ inspections, the National Mineral Inventory, auctions, prospective mines, cropping, census, weather, elevation, slope, terrain and infrastructure constraints.
We’re also tracking around 100 mineable materials, along with the known composition of mines and surrounding geology biology and agriculture
Next, we’ll compare these cells with known mineral-bearing regions globally and use spatial modelling + a whole lot of maths to identify areas that may be worth deeper geological investigation.
To find parts of the country that are mineral-rich before the government does.
Git in replies (very much in progress)
