That feeling when the code you let slide, telling yourself, "I'll just merge it now and refactor it later" - comes back to haunt you, bringing a massive issue along with it. ☹️

Ask Google's AI Mode who won the 2020 election and it may not say

Instead of naming Joe Biden, Google's AI search mode told users to check the Federal Election Commission's official results. Asked about 2016, it answered right away: Donald Trump.

Google's standalone Gemini app, ChatGPT and Claude all named the 2020 winner in tests by Ars Technica. AI Mode often gave the answer when asked a second time, and answered straight away when Ars checked from other countries via VPN.

Google says it's fixing it: "Our systems verify election responses using news articles or AP data for recent elections, and historic records for older ones. There was a technical gap with 2020 – same is true for 2022 Senate races."

The US midterms are on Nov. 3.

🔆 t.me/techpsyche

In any case, you don't throw away a Samsung phone just because you bought an iPhone. !!!!!! 🙃

How to Build a Tech Portfolio Without Work Experience

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Top 10 Free AI Playgrounds For You to Try

Curious about the future of AI? AI playgrounds are interactive platforms where you can experiment with AI models to create text, code, art, and more. They provide hands-on experience with pre-trained models and visual tools, making it easy to explore AI concepts without complex setup.

1. Hugging Face Space
2. Google AI Test Kitchen
3. OpenAI Playground
4. Replit
5. Cohere
6. AI21 Labs
7. RunwayML
8. PyTorch Playground
9. TensorFlow Playground
10. Google Colaboratory

Generative AI in 2 Months: t.me/airesourcestp/27

Follow this WhatsApp Channel for More AI Tips & Resources
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5 Books that will supercharge your success, Creativity and Mindset

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⏰ Amazon's new Alexa clock wakes you when your sleep is lightest

Echo Time senses lighter sleep with no wearable and wakes you within 10 to 60 minutes of your set alarm, while the screen brightens like a sunrise. It costs $199.99.

It's one of five Alexa+ devices Amazon showed on Wednesday:
• Echo Dot, $99.99: now also a smart home hub and a Wi-Fi extender for up to 1,000 sq ft
• Echo Studio with Home Camera, $249.99: recognizes things you hold up, like a cereal box to reorder
• Alexa Photo Frame, from $199.99: pulls pictures from Amazon Photos on its own
• Echo Show 16, from $499.99 on preorder: a 16-inch screen with Fire TV built in

Some features need Alexa+, which comes with Prime.

🔆 t.me/techpsyche

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🧵 Complete Cybersecurity Professional Roadmap 🧵

1. Introduction to Ethical Hacking
- Definition
- Purpose
- Types of Hackers
- Legal and Ethical Considerations

2. Networking Basics
- TCP/IP
- OSI Model
- Subnetting
- DNS
- DHCP

3. Operating Systems
- Linux
- Windows
- macOS
- Command Line Basics

4. Cybersecurity Fundamentals
- Encryption
- Firewalls
- Antivirus
- IDS/IPS

5. Programming Languages
- Python
- Javascript
- Bash Scripting
- SQL
- C/ C++/ Java/ Ruby

6. Scanning and Enumeration
- Port Scanning
- Service Enumeration
- Vulnerability Scanning

7. Exploitation
- Common Vulnerabilities and Exploits
- Metasploit Framework
- Buffer Overflows

8. Web Application Security
- OWASP Top Ten
- SQL Injection
- Cross-Site Scripting (XSS)

9. Wireless Network Hacking
- Wi-Fi Security
- WEP, WPA, WPA2
- Wireless Attacks

10. Social Engineering
- Phishing
- Spear Phishing
- Social Engineering Toolkit (SET)

11. Sniffing and Spoofing
- Man-in-the-Middle Attacks
- ARP Spoofing
- DNS Spoofing

12. Malware Analysis
- Types of Malware
- Sandbox Analysis
- Signature-Based and Behavior-Based Detection

13. Incident Response and Handling
- Incident Response Process
- Digital Forensics
- Chain of Custody

14. Penetration Testing
- Types of Penetration Testing
- Methodology
- Reporting

15. Cryptography
- Symmetric and Asymmetric Encryption
- Hashing Algorithms
- Digital Signatures

16. Mobile Hacking
- Android and iOS Security
- Mobile Application Security

17. Cloud Security
- AWS, Azure, Google Cloud
- Security Best Practices

18. IoT Security
- Internet of Things Risks
- Securing IoT Devices

19. Legal and Compliance
- Computer Fraud and Abuse Act (CFAA)
- GDPR, HIPAA, PCI DSS

20. Cybersecurity Tools
- Nmap, Wireshark, Burp Suite
- Snort, Nessus, Aircrack-ng

21. Career Path and Certifications
- Certified Ethical Hacker (CEH)
- Offensive Security Certified Professional (OSCP)
- CISSP, CompTIA Security+

Protect your Website against potential hacks: t.me/techpsyche/2073

Top 28 Cyber Security Tools: t.me/techpsyche/2042

More Cyber Security Resources Here:
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Code Rushing

You have likely heard about this. Sometimes, whether due to a lack of diligence or the pressure of an approaching deadline, we rush straight into writing code just to get something functional. We jump directly to coding without fully grasping the problem at hand - this is what is known as "code rushing."

This is a common pitfall, especially for beginners. Before you start writing code, it is best to take the time to thoroughly analyze and break down the problem you are trying to solve.

5 Core Habits That Separate the Wealthy from the Rest: The Mind of an Entrepreneur

Read Here: https://remotechrome.com/5-core-habits-that-separate-the-wealthy-from-the-rest-the-mind-of-an-entrepreneur/

🎯 System Design in Mobile Programming

When we say System Design in the mobile world, it means designing the structure and architecture of the entire system; from data management to security and scalability.

1️⃣ Mobile Application Architecture

📱 Client-Side (App Layer):

Internal Architecture:
MVP, MVVM, MVI or Clean Architecture

State Management:
(ViewModel in Android, ObservableObject in SwiftUI)

Internal Cache:
SQLite, Realm, Room, CoreData

Dependency Injection:
(Like Hilt/Dagger or Koin)

🌐 Backend Integration:

API: REST or GraphQL

Authentication: (OAuth2, JWT)

Sync & Offline-first

2️⃣ Data Flow

🔄 Request/Response Cycle:
Repository → API Client → Server

📦 Offline Handling:
First, the data is stored in the Local DB, then it is synced with the server.

⚡️ Real-time Updates:
WebSocket, Firebase Realtime DB, gRPC

3️⃣ Scalability & Performance

The app should be scalable for millions of users 🚀

Backend → Load Balancing

Use CDN for images and files

Pagination and Lazy Loading on the app side

Push Notification with FCM/APNs

4️⃣ Security

Encryption (SharedPreferences/Keychain) 🔐

HTTPS + SSL Pinning

Token Refresh Handling

Avoid Reverse Engineering (ProGuard, R8, Obfuscation)

5️⃣ Observability

Logging: (Crashlytics, Sentry)

Analytics: (Firebase, Mixpanel)

Feature Flagging
for gradual rollout

📌 Simple example: Reservation app

1. App:
User searches

2. API Gateway:
Request goes to microservice Search

3. Search Service:
Fetches data from
DB (Elasticsearch / PostgreSQL)

4. Caching Layer:
And Redis or Room returns frequently used results quickly

5. App:
Shows results and stores in Local DB for offline use

✨ Summary:
System design means thinking about the entire app lifecycle; from the mobile-side code structure to server-side communication, security, performance, and user experience.

Must-Know things for an App Developer: t.me/mobiledevresourcestp/154

Mobile App Development Frameworks & Their Use Cases: t.me/mobiledevresourcestp/157

Top 5 Must-Subscribe YouTube Channels for Flutter Developers : t.me/mobiledevresourcestp/158

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OpenAI’s GPT-6 Astra just improved another AI by editing its brain. Literally.

MIT researchers gave Astra access to the weights of Alibaba’s Qwen model and asked it to fix a problem: the model kept getting stuck in repetitive reasoning loops instead of finishing its answers.

Rather than retraining Qwen, Astra figured out which weights were causing the issue and changed them directly.

The results are pretty wild:

• Only 0.016% of the model’s weights were modified
• Its MATH-500 score jumped from 7.9% to 48.1%
• Instruction-following improved from 21% to 62.3%
• The share of math responses hitting the output limit dropped from 93% to 33%

The researchers call this weight-space programming. Essentially, one AI edits the internal parameters of another AI to change how it behaves.

It didn’t work nearly as well on Google’s Gemma 3, so this is far from a universal fix.

🔆 t.me/techpsyche

Still, think about what happened here. An AI identified a problem inside another neural network and fixed it by changing a tiny fraction of its numbers. No additional training required.

If this approach becomes reliable, fixing AI models might eventually look more like debugging software than training a new model from scratch.

And that’s a pretty strange thought.

OpenAI CEO Sam Altman warns AI will expose far MORE security flaws than experts expect.

AI is getting better at hunting down hidden security holes, he says, and it has only just started looking. “We are in a world of many more serious vulnerabilities than we expect.”

🔆 t.me/techpsyche

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