‘

Back in the game🦸‍♂️ | turn on notis

[‘ @supnullpointer]

Having a childhood before social media took over is a blessing in disguise fr

[‘ @supnullpointer]

@JioCare I have dmed but no response

[‘ @supnullpointer]

Hi @JioCare

I have already filled the airfibre interest form and it was showing your booking is scheduled , one representative will call you to visit your place. But there is no call from your side. I am waiting for like 3 days now .

This is ridiculous service.

[‘ @supnullpointer]

@airtelindia @Airtel_Presence

[‘ @supnullpointer]

Hi Team @Airtel_Presence

I have recently applied for Airtel airfibre service but ever after multiple requests there is no call from your expert wifi support team or any further communication

Kindly fix it as soon as possible

Request Id: JD4CN87DD8

[‘ @supnullpointer]

. @nykaacares kindly have a look

[‘ @supnullpointer]

This is totally unacceptable because yesterday i added money to my nykaa wallet, kindly look into this or refund my money. Refund the wallet money to my bank account or my original gift card

Order Id : 
NYK-369828759-7677443

[‘ @supnullpointer]

This is most precious time of life . Explore yourself and find your partner. I m telling you having a girlfriend is literally a flex. I m telling you you the support system and confidence you will get is unmatchable

[‘ @supnullpointer]

This mf 😭😭

[Bryan Johnson @bryan_johnson]

can you get a perfect score?

[‘ @supnullpointer]

I saw salads ,,, am i cooked?

[‘ @supnullpointer]

@Neoskiiiii 😭😭

[‘ @supnullpointer]

Delete meta ai and install claude again

[‘ @supnullpointer]

Just let it go bruhh , wind can’t do shit

[Ghar Ke Kalesh @gharkekalesh]

MAN GRIPS PETROL PUMP PILLAR DURING STORM, TRYING TO HOLD STEADY AMID POWERFUL WINDS

[‘ @supnullpointer]

Bro put his girl ‘s pussy on test 😭😭😭

[Bryan Johnson @bryan_johnson]

This is her vaginal microbiome report. 100/100 score.

Top 1% of all vaginas.

Her sample is dominated by the single most protective bacterial species a vagina can host (Lactobacillus crispatus).

Only about 25-30% of reproductive age women globally are L. crispatus-dominant, and “dominant” usually means above 50%. Kate is at 98.7%.

The lab found nothing bad to report. (no gardnerella, Candida, STIs, opportunistic pathogens, aerobic vaginitis markers, etc.)

This is linked to lower risk of BV, UTIs, yeast infections, HPV persistence, HSV-2 and HIV acquisition, preterm birth, and improved IVF outcomes.

A vaginal microbiome is downstream of everything: sleep, glucose control, stress, gut health, sexual health, immune function, what you eat, and what you put in it.

[‘ @supnullpointer]

This mf gay asf

[Pure™ OG🎹🎤💻 @IamPureOG]

@AkademiksTV I’d lick the last dick that was in her just to get a taste of ice spice (⏸️)

[‘ @supnullpointer]

CLAUDE OPUS 4.7 USING 500K TOKENS TO RENAME A PARAMETER

[‘ @supnullpointer]

Told Claude Opus 4.7 “hi” just to greet

My tokens:

[‘ @supnullpointer]

MIT just made every AI company’s billion-dollar bet look embarrassing.

They solved AI memory—not by building a bigger brain, but by teaching it how to read.

The Breakthrough: On December 31, 2025, three MIT CSAIL researchers published a paper revealing that AI models don’t need massive context windows. Instead of loading entire documents into memory, they store them as external Python variables. The AI knows these exist, searches them using code and regex, pulls only the relevant sections, and spawns sub-AIs to analyze pieces in parallel. No summarization, no information loss.

The Problem: Traditional AI models suffer from a hard context window. Overloading it leads to “context rot”—facts blur, mid-document info vanishes, and models forget what they read. Retrieval Augmented Generation (RAG) tried to fix this by chunking documents, but it shredded context and guessed relevancy poorly.

The Results:
RLMs (Reading-augmented Language Models) solved complex long-context benchmarks where GPT-5 failed 90% of the time.
Handled 10 million tokens—100× a model’s native window.
Delivered better answers at comparable or cheaper cost.

The Implication: For five years, the AI arms race chased bigger windows: GPT‑3 (4K), GPT‑4 (32K), Claude 3 (200K), Gemini 2 (2M). MIT proved the assumption wrong: more context ≠ better performance. The right approach is teaching AI where to look.

The Impact:
Open source code on GitHub; drop-in replacement for LLM APIs.
Enables tasks spanning weeks or months via self-managed context.
Ends the context window wars—MIT won by walking away.

Sources: Zhang, Kraska, Khattab · MIT CSAIL · arXiv:2512.24601
Paper: https://t.co/TrApTTjmO3
GitHub: https://t.co/4bMI2Btmwr
#mit #gpt #codex #rag #claude #anthropic

[‘ @supnullpointer]

India probably the only country who’s pr team is so cooked that they ain’t even trying

[‘ @supnullpointer]

What about small accounts trying to their best @nikitabier ???

I was inactive here tor sometime and my entire reach is gone

[‘ @supnullpointer]

Money