Ayush Pandey

A nerd trying to be socialize nowadays (virtually) .
Talk about tech? I'm in .|
It might seem a bit looking for a black cat in a coal cellar.

[Ayush Pandey @thebugsyndrome]

From rolling my shirt sleeves to .rolling() for signal processing and time series data lockdown has shown me a hell of a ride!!

Posting my pain while debugging like real OG !!

[nisarga @ni5arga]

people on hinge have started to recognize me, it's so over

[Ryan Hart @thisdudelikesAI]

A Oxford PhD student got flagged for submitting AI-generated work.

His advisor called it the most sophisticated research process he had seen in 20 years.

The student had not used AI to write a single word.

Here is the workflow that got him reported.

He starts every essay with a diagnostic he calls brutal. He dumps his rough argument into Claude and asks one question: what are the three weakest logical jumps in this reasoning, and where would a hostile examiner attack first? The AI does not write his essay. It destroys his draft, and then he rebuilds from whatever survives.

Most students using AI are doing the opposite. They hand Claude a topic and ask it to write. He hands Claude his thinking and asks it to find every place where that thinking falls apart. The difference between those two approaches is the difference between outsourcing your brain and sharpening it.

The second step is the one that made his advisor go quiet. He uploads the five most important papers in his field alongside his draft and asks Claude what claims in his argument contradict or oversimplify what these authors actually found. Most PhD students cite papers they have skimmed once. He cites papers he has been forced to genuinely reckon with, because Claude keeps catching the places where he got them wrong.

The final move is almost unfair. Before he submits anything, he pastes his conclusion and runs one more prompt. He asks what a philosopher of science would say is missing from this argument and what assumptions he is making that he has not defended. His essays come back from reviewers with phrases like unusually rigorous and demonstrates rare critical depth, and his committee has no idea that the depth came from a machine asking him harder questions than any human in his department was willing to ask.

The academic integrity hearing lasted three hours. The panel asked him to rebuild his methodology from scratch in the room. He opened his laptop and showed them exactly how the workflow ran, prompt by prompt. They did not just clear him. They gave him the highest grade in the department's history and asked him to present the process to faculty.

Here is what that story actually means. What took most PhD candidates six months of back-and-forth with advisors, he was compressing into a single session because he had figured out something almost nobody else has. AI does not make your thinking better by replacing it. It makes your thinking better by attacking it faster than any human critic ever would.

He was not using AI to write. He was using it to think harder than he could alone.

The tool is the same one everyone has. The workflow is the part nobody is teaching.

[Akhilesh Sharma @sharma_akh69357]

Veg pizza me non-veg bheja aaj ki ghatna hai .Yeh complaint dena humari majboori hai qki na toh @zomato ne na hi @mozoresturant ne koi karywahi kri @noidapolice @CMOfficeUP @VHPDigital @ZeeNews @vhpnoida @vhpnoidagbn

[Black Hole @konstructivizm]

The 79 moons of Jupiter

[oggy @oggyxe]

planning to do something like this really soon. been craving for getting under the low-level abstractions.

will also be reading the C programming language book

[Ayush Pandey @thebugsyndrome]

So finally month long competition comes to an end. It was enthralling to work on this dataset. #kaggle launched this problem statement as part of its playground series. Glad to see the final stand with global rank 52 among 3000+ applicants. Will be sharing detailed solution.

[Renuka Sharma @RenukaShar74299]

https://t.co/tekZiP5fJ1
Please help for my husband 🙏

[Sheetal Jain @Sheetal2205]

4⃣ I applied through the following websites: Instahyre, LinkedIn, Cuvette, Cutshort, Wellfound, Remote ok, Indeed, Internshala, Techgig jobs, Optim Hire, Naukri, and others.

[Rohit Ghumare @ghumare64]

Learn DevOps step-by-step:

Programming ➣ Python
Scripting ➣ Bash
VCS ➣ Git
Container ➣ Docker
Orchestrator ➣ Kubernetes
IaC ➣ Terraform
Infra ➣ Ansible
Cloud ➣ AWS, GCP, Civo
CI/CD ➣ Jenkins
GITOps ➣ ArgoCD
Monitor ➣ Prometheus, Grafana
Service Mesh ➣ Istio

[Saumya Singh @saumya1singh]

Tools you will regret not knowing as a coder (trust me)
Part 2 🧵 ↓

[Ankit Srivastava @AnkitStivastava]

Optum Hiring Junior Software Engineer
Batch: 2022 & 2021
Location: Gurgaon

Note: BCA & Bsc Graduate

Apply here- https://t.co/P6p3UuJ8Lp

[Bojan Tunguz @tunguz]

What is one Machine Learning/Data Science library that you love to use but most people don't seem to know about it?

[Analytical Aakriti | The SQL Gal @Aakriti_Sarma]

Friendly reminder to start your Data Analytics journey NOW.

Resources down below 👇

[Avi Kumar Talaviya @avikumart_]

TOP 10 Data science techniques you must learn to succeed in your data science career🔥📊🚀

A 🧵↓

[Analytical Aakriti | The SQL Gal @Aakriti_Sarma]

SQL is the meat and potatoes of Data Analytics. A must-have skill no matter which industry you want to get into.

Sharpen your skills through case studies here ⏬

[Dan Kornas @DanKornas]

To be a great Machine Learning Engineer 🤖, you first and foremost must be a great programmer 💻.

🐍 #Python is still the most widely used language in AI, so here are 30 #FREE resources to help you become a Python master ninja coder 🥷

#100DaysOfCode #66daysofdata

MEGA🧵👇

[Ayush Pandey @thebugsyndrome]

The only thing keeping me on the border of sane and insane is two puff of joint stuffed with kasol goodness .

[Avi Kumar Talaviya @avikumart_]

10 FREE online textbooks for data science you must own to excel in solving data problems📈🚀

A 🧵↓

[Ayush Pandey @thebugsyndrome]

@__mharrison__ My little brother said "hey you missed writing int "
I said naah , i did it deliberately