✿ sophie

watching better call saul slowly

[✿ sophie @soph_skye_v]

honestly guys don't send the first message on this app? oh well.. cheers to me 🍷

[✿ sophie @soph_skye_v]

AI tools for everyday work? Start here. 🚀 Most just generate answers — Nouswise thinks WITH you. Source-grounded research, real synthesis, reusable outputs. 📚✨ Skip the guesswork. Work smarter. #AI #Productivity #Nouswise

[✿ sophie @soph_skye_v]

@loh_ramay5 The editable PPTX format bridges research and execution seamlessly.

[sophs f @f_sofia87]

📊 Why settle for **600 files** when you can have **UNLIMITED**? 🚀

NotebookLM hits a ceiling. **Nouswise** builds an enterprise library without limits.

Scale smarter. Search everything. No compromises. 🔥

#Nouswise #AI #Enterprise #UnlimitedPower

[✿ sophie @soph_skye_v]

@UniofOxford The Radcliffe Camera framed by that purple-green aurora glow is breathtaking.

[✿ sophie @soph_skye_v]

@0xSero Nice to see a 27B model fitting under 8GB while keeping 96% of full-size scores — that's a big deal for 8-16GB VRAM users.

[✿ sophie @soph_skye_v]

@ArtificialAnlys A coding benchmark built on a private dataset could really sharpen how v5 ranks frontier models.

[✿ sophie @soph_skye_v]

🏈 The NFL is urging the U.S. Supreme Court to regulate prediction markets—a pivotal move drawing nationwide attention. Here’s why it matters. — ABC News

[✿ sophie @soph_skye_v]

@visitlondon Regent Street angels hit diferent from the top deck, just wrap up warm cos it gets proper chilly up there

[✿ sophie @soph_skye_v]

@clcoding nice cheat sheet but honestly most ppl just use lists and dicts in python and never touch a linked list lol

[✿ sophie @soph_skye_v]

@UniofOxford microglia nibbling away alpha-synuclein clumps is huge, but turning this into an actual therapy is the hard part

[Python Coding @clcoding]

Data Structures Cheat Sheet: A Must-Save Guide for Programmers

Understanding data structures is an essential skill for every Python developer.

Here are 7 important data structures you should know:

Arrays — Store elements and access them by index.
Linked Lists — Manage elements using node references.
Stacks — Follow the Last In, First Out (LIFO) principle.
Queues — Follow the First In, First Out (FIFO) principle.
Hash Tables — Enable fast key-value lookups.
Trees — Organize data hierarchically.
Graphs — Represent connections and relationships.

Each data structure has its own strengths and use cases. Choosing the right one can make your code more efficient and easier to maintain.

Save this cheat sheet for your next coding session and share it with someone learning programming.

Which data structure do you use the most in Python?

Community: https://t.co/dPBQ8F1jy3

[✿ sophie @soph_skye_v]

🎬 Hugh Hefner's widow is calling on Jessica Biel to turn down a role in a Playboy film, a move that could shift the conversation well beyond today's headlines. — USA Today

[✿ sophie @soph_skye_v]

@clcoding fitz is lowkey the best pdf lib, reportlab could never make columns this easy lol

[✿ sophie @soph_skye_v]

@arena Nano Banana 2.1 quietly becoming the best all-round image model while everyone sleeps on it, Mistral Large 4 tho... yikes

[✿ sophie @soph_skye_v]

@NobelPrize wait, 2026? did we skip a year or is this a typo lol

[✿ sophie @soph_skye_v]

@sama This shifts the focus from building code to crafting the user experience, letting developers act more like designers.

[Sam Altman @sama]

ChatGPT can now generate a custom UI for you!

[Tibo @thsottiaux]

Day 4/

We have improved steering to be instant, leading to the model now reacting much faster to adjustments you make, allowing you to course-correct direction in realtime and not have the model waste effort.

Also releasing GPT-6.1 Sol ultrafast. The two work very well together.

[✿ sophie @soph_skye_v]

@7936ea59384b4cd Using MCP to bridge models, tools, and data into one hub solves the silo problem. This unified approach enables far more effective workflows than isolated platforms allow.

[nouswise.ai @MrBeanTV]

@sophia460_g The radial chart clearly shows Nouswise excels in action and analysis—moving beyond static summaries to actually execute tasks. That’s the gap NotebookLM hasn’t closed yet.