@learning_dev1

Learner

Joined March 2022
  • Tweets2.5K
  • Following3.6K
  • Followers205
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Pintu (Learner) retweeted
Nikki Siapno
@NikkiSiapno15h
API Gateway vs Load Balancer vs Reverse Proxy.
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Pintu (Learner) retweeted
FlickHype
@FlickHype20182h
my survival instincts watching this clip 📉📉 they really took the chaos to another level in this sequel
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Pintu (Learner) retweeted
Ahmad
@TheAhmadOsman7h
Top 3 Local AI models - DeepSeek v4.1 Flash 1017 - GLM 5.3 Flash - Qwen 3.8 Next Flash In that order
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Pintu (Learner) retweeted
Akshay 🚀
@akshay_pachaar22h
Another blow to Anthropic! Devs built a free and better Claude desktop alternative that: - runs locally - works with any LLM - SOTA deep research - has Cowork-like capabilities - connects to 40+ data sources - self-hosts via Docker, and more. 100% open-source.
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Pintu (Learner) retweeted
Peng
@pengsonal23h
THESE UNCENSORED AI MODELS GOT MILLIONS OF DOWNLOADS top 10 most downloaded uncensored GGUF models on Hugging Face in the last 30 days some have over 2.5M downloads 👀 1. Qwen3.8 27B Uncensored huggingface.co/JonathanColet… 2. Qwen3.8 27B Abliterated huggingface.co/huihui-ai/Hui… 3. Qwen3.8 27B Aggressive huggingface.co/HauhauCS/Qwen… 4. Qwen3.5 9B Fable huggingface.co/DavidAU/Qwen3… 5. Ornith 1.5 9B huggingface.co/mradermacher/… 6. Qwen3.8 27B Fable Turbo huggingface.co/DavidAU/Qwen3… 7. Gemma 4 E4B Uncensored huggingface.co/HauhauCS/Gemm… 8. Gemma 4 12B Uncensored huggingface.co/HauhauCS/Gemm… 9. Qwen3.6 35B A3B Uncensored huggingface.co/HauhauCS/Qwen… 10. Qwen3.5 9B Uncensored huggingface.co/HauhauCS/Qwen… bonus: uncensored AI image model huggingface.co/abenzerps/Qwe… check this before choosing your next local AI model 👀

JonathanColetti/Qwen3.8-27B-Uncensored-GGUF · Hugging Face

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

huggingface.co
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Pintu (Learner) retweeted
Neeraj
@neerajjj6785Sep 29
Top 10 OpenCode Skill Repos: 1. Superpowers - github.com/obra/superpowers 2. Ponytail - github.com/DietrichGebert/po… 3. UI/UX Pro Max - github.com/nextlevelbuilder/… 4. Graphify - github.com/Graphify-Labs/gra… 5. Caveman - github.com/JuliusBrussee/cav… 6. Addy Osmani Skills - github.com/addyosmani/agent-… 7. Understand Anything - github.com/Egonex-AI/Underst… 8. Awesome Claude Skills - github.com/ComposioHQ/awesom… 9. Archify - github.com/tt-a1i/archify 10. Impeccable -github.com/pbakaus/impeccabl…
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Pintu (Learner) retweeted
Charly Wargnier ♨️
@DataChaz14h
i don't think people realize how big this is… A US lab just released a 40B open-weight coding model leading its class on three major coding benchmarks. 125+ tok/s on a MacBook. 150+ on RTX Spark. no per-token fees. no usage limits. your laptop is now the endpoint.
🤝 Paid partnership
Richard Socher
@RichardSocher15h
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine. • Best-in-class fast local coding • Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark • Built from scratch in under 4 months Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.
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Pintu (Learner) retweeted
atomic.chat
@atomic_chat_hqOct 20
Run UNCENSORED DeepSeek V4.1 Flash 1017 GGUFs locally 🐳 Refusals dropped from 91.4% to 0% and it still answers 86.6% of MMLU questions right vs 86.0% before uncensoring Get it here👇 huggingface.co/AtomicChat/De…

AtomicChat/DeepSeek-V4.1-Flash-1017-Uncensored-GGUF · Hugging Face

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

huggingface.co
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Pintu (Learner) retweeted
Python Programming
@PythonPrOct 20
Layers of AI 😍😍😍
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Pintu (Learner) retweeted
Dhanian 🗯️
@e_oporeOct 20
10 Best GitHub Repositories to Learn System Design: ① System Design Primer — Core concepts and interview preparation github.com/donnemartin/syste… ② System Design 101 — Visual explanations of system design concepts github.com/ByteByteGoHq/syst… ③ System Design by Karan Pratap Singh — Structured learning and architecture fundamentals github.com/karanpratapsingh/… ④ Awesome System Design Resources — Curated guides, concepts, and interview problems github.com/ashishps1/awesome… ⑤ Awesome Scalability — Real-world scalability patterns and engineering case studies github.com/binhnguyennus/awe… ⑥ System Design Interview — Interview questions and preparation resources github.com/checkcheckzz/syst… ⑦ Awesome System Design — Curated system design learning materials github.com/madd86/awesome-sy… ⑧ Machine Learning Systems Design — Designing and deploying machine learning systems github.com/chiphuyen/machine… ⑨ Engineering Blogs — Learn from real-world engineering teams and architectures github.com/kilimchoi/enginee… ⑩ System Design Academy — System design learning and practice resources github.com/systemdesign42/sy… Master system design by studying real architectures, understanding trade-offs, and learning how to build scalable, reliable systems. Grab system design ebook: codewithdhanian.gumroad.com/…
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One Ambrane 140W GaN hub replaces the whole tangle — 7 devices, 5 USB-C PD + 2 USB-A, 100W for the laptop, all from a single wall socket. Small enough for the bag. On a deal right now. We verified cheapest + in stock before it's posted. Grab it.

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Pintu (Learner) retweeted
DeepSeek
@deepseek_aiOct 20
🚀 Introducing DeepInfer, our in-house inference framework, now fully open source! Powering DeepSeek-V4.1-Flash at scale with high throughput and low latency. We’re sharing our production stack to help the community lower compute costs, reduce energy use, and make AI more affordable. 🔗 github.com/deepseek-ai/DeepI… 1/4

GitHub - deepseek-ai/DeepInfer: DeepInfer: High-performance, large-scale inference framework for...

DeepInfer: High-performance, large-scale inference framework for DeepSeek models - deepseek-ai/DeepInfer

github.com
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Pintu (Learner) retweeted
Dhanian 🗯️
@e_oporeOct 18
30 End-to-End AI Product Architecture Designs to Master AI System Design: ① AI Chatbot — LLM + API + Conversation Memory ② RAG System — Documents + Embeddings + Vector Database ③ AI Coding Assistant — LLM + Codebase Indexing + Developer Tools ④ AI Research Agent — Search + Planning + Tool Calling ⑤ AI Customer Support Agent — Knowledge Base + Ticketing + Escalation ⑥ AI SaaS Platform — Authentication + LLM Gateway + Billing ⑦ AI Document Intelligence — OCR + Extraction + Validation ⑧ AI Voice Assistant — Speech-to-Text + LLM + Text-to-Speech ⑨ AI Image Generation Platform — Prompts + Diffusion Models + Storage ⑩ AI Video Generation Platform — Generation Pipeline + GPU Workers ⑪ AI Recommendation Engine — User Embeddings + Ranking + Feedback ⑫ AI Search Engine — Hybrid Search + Reranking + Semantic Retrieval ⑬ AI Fraud Detection System — Feature Engineering + ML Inference ⑭ AI Personalization Engine — User Profiles + Context + Recommendations ⑮ AI Multi-Agent System — Agent Orchestration + Shared State ⑯ AI Workflow Automation — Triggers + Tools + Execution Engine ⑰ AI Knowledge Management System — Ingestion + Indexing + RAG ⑱ AI Meeting Assistant — Audio Processing + Transcription + Summarization ⑲ AI Email Assistant — Classification + Generation + Approval ⑳ AI Data Analyst — Text-to-SQL + Query Execution + Visualization ㉑ AI Financial Intelligence Platform — Data Pipelines + Forecasting + Risk Analysis ㉒ AI Healthcare Assistant — Medical Knowledge + Guardrails + Human Oversight ㉓ AI E-commerce Assistant — Product Retrieval + Recommendations + Checkout Integration ㉔ AI Learning Platform — Adaptive Learning + Assessment + Progress Tracking ㉕ AI Document Generation SaaS — Templates + LLM + PDF Export ㉖ AI Fine-Tuning Platform — Dataset Preparation + Training + Model Registry ㉗ AI Inference Platform — Model Serving + Batching + GPU Scaling ㉘ AI Observability Platform — Tracing + Evaluation + Cost Monitoring ㉙ AI Model Gateway — Routing + Fallbacks + Rate Limiting ㉚ Production-Grade AI Platform — Microservices + Event Streaming + Caching + Security + MLOps Master these architectures to understand how AI products move from prototypes to reliable, scalable, production-ready systems. Grab the AI System Design Handbook: codewithdhanian.gumroad.com/…
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Pintu (Learner) retweeted
painn
@painn_xOct 17
DeepSeek V4.1 Flash UNCENSORED is FREEE 😳 no jailbreak needed, straight up uncensored what you get: - DeepSeek V4.1 Flash uncensored - 1.05M context - 60 tok/s, tested try it here: platform.xplabs.ai
painn
@painn_xOct 16
WTFFF, someone dropped a fully jailbroken iphone virtual machine 😳 it runs on your mac. no spare iphone. open source and FREE here is how you set it up: 1. recovery mode → csrutil enable --without debug → csrutil allow-research-guests enable 2. install vphone launchpad → host setup → core bundle 3. machines → new machine → create done. a jailbroken iphone on your mac needs apple silicon + macos 15
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Pintu (Learner) retweeted
Min Choi
@minchoiOct 17
This Opus 5.5 prompt is literally a $400/hr motion graphics designer🤯
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Pintu (Learner) retweeted
Dhanush N
@Dhanush_NehruOct 17
This is what a 1 person company looks like in the future. Not a team. A system of Al agents replacing entire departments developersglobal.github.io/a…
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Pintu (Learner) retweeted
Gauri Tripathi@GauriTripa94282Oct 17
AI is an ecosystem, not just one technology. ① AI: Intelligent systems ② ML: Learns from data ③ DL: Learns complex patterns ④ GenAI: Creates content ⑤ LLMs: Generates language ⑥ RAG: Retrieves external knowledge ⑦ Agentic AI: Plans, uses tools, and acts autonomously. #AI
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Pintu (Learner) retweeted
Rohit Ghumare
@ghumare64Oct 17
Who's gonna tell vibe coders about... 1. SQL Injection 2. XSS 3. CSRF 4. CORS 5. SSRF 6. IDOR 7. Path Traversal 8. Mass Assignment 9. Clickjacking 10. Content Security Policy 11. Security Headers 12. Input Validation 13. Server-Side Authorization 14. Row-Level Security 15. Least Privilege 16. RBAC 17. Secrets Management 18. .env in .gitignore 19. API Key Rotation 20. Secret Scanning 21. Hashing vs Encryption 22. Password Salting 23. bcrypt & Argon2 24. JWT Expiry 25. Refresh Tokens 26. OAuth 2.0 27. OpenID Connect 28. Session Fixation 29. MFA 30. Brute Force Protection 31. Account Enumeration 32. Timing Attacks 33. File Upload Validation 34. Webhook Signature Verification 35. TLS Certificate Expiry 36. HSTS 37. Encryption at Rest 38. Dependency Vulnerabilities 39. Supply Chain Attacks 40. Threat Modeling 41. Indexes 42. EXPLAIN ANALYZE 43. N+1 Queries 44. Full Table Scans 45. Connection Pooling 46. Database Migrations 47. Down Migrations 48. Transactions 49. ACID 50. Isolation Levels 51. Deadlocks 52. Optimistic Locking 53. Pessimistic Locking 54. Normalization 55. Denormalization 56. Foreign Keys 57. Unique Constraints 58. Cascading Deletes 59. Soft Deletes 60. UUIDs vs Auto-Increment 61. Cursor-Based Pagination 62. Full-Text Search 63. Read Replicas 64. Replication Lag 65. Sharding 66. Partitioning 67. Hot Partitions 68. Postgres VACUUM 69. Materialized Views 70. Backups 71. Testing Your Restores 72. Point-in-Time Recovery 73. Change Data Capture 74. Outbox Pattern 75. ORM Lazy Loading 76. CAP Theorem 77. Eventual Consistency 78. Strong Consistency 79. Raft Consensus 80. Leader Election 81. Split Brain 82. Quorums 83. Clock Skew 84. Distributed Locks 85. Consistent Hashing 86. Bloom Filters 87. Two-Phase Commit 88. CQRS 89. Event Sourcing 90. Race Conditions 91. Backpressure 92. Load Shedding 93. Bulkheads 94. Jitter 95. Retry Storms 96. Cascading Failures 97. Thundering Herd 98. Cache Invalidation 99. Cache Hit Ratio 100. TTLs 101. Cache Warming 102. Write-Through vs Write-Back 103. Redis Eviction Policies 104. CDNs 105. Cache-Control Headers 106. ETags 107. Dead Letter Queues 108. Poison Messages 109. At-Least-Once Delivery 110. Exactly-Once Semantics 111. Message Ordering 112. Kafka Consumer Groups 113. Partition Keys 114. Background Jobs 115. Webhook Retries 116. DNS 117. DNS Propagation 118. HTTP Status Codes 119. HTTP Method Semantics 120. Keep-Alive 121. HTTP/2 122. WebSockets 123. Server-Sent Events 124. Long Polling 125. gRPC 126. Protocol Buffers 127. API Versioning 128. OpenAPI Specs 129. Backward Compatibility 130. Request Size Limits 131. Compression 132. Latency vs Throughput 133. Egress Fees 134. VPCs 135. Subnets 136. NAT Gateways 137. Firewalls 138. Security Groups 139. Service Mesh 140. Ingress Controllers 141. Health Checks 142. Liveness vs Readiness Probes 143. Graceful Shutdown 144. Connection Draining 145. Stateless Services 146. Failover 147. Multi-Region 148. Availability Zones 149. Single Points of Failure 150. Disaster Recovery 151. RTO & RPO 152. SLAs 153. SLOs 154. Error Budgets 155. Incident Response 156. On-Call 157. Runbooks 158. Postmortems 159. Chaos Engineering 160. Graceful Degradation 161. Autoscaling 162. Horizontal vs Vertical Scaling 163. Cold Starts 164. Capacity Planning 165. Load Testing 166. Memory Leaks 167. OOM Killer 168. Structured Logging 169. Log Levels 170. Log Rotation 171. Distributed Tracing 172. OpenTelemetry 173. Correlation IDs 174. Metrics Cardinality 175. p99 Latency 176. Alert Fatigue 177. Error Tracking 178. Profiling 179. Flame Graphs 180. Infrastructure as Code 181. Terraform State 182. GitOps 183. Blue-Green Deployments 184. Canary Releases 185. Rollbacks 186. Feature Flags 187. Environment Parity 188. Staging Environments 189. 12-Factor Apps 190. Multi-Stage Builds 191. Non-Root Containers 192. Image Scanning 193. Resource Requests & Limits 194. Pod Disruption Budgets 195. Semantic Versioning 196. Lockfiles 197. Reproducible Builds 198. Branch Protection
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Pintu (Learner) retweeted
Chubby♨️
@kimmonismusOct 17
Holy, DeepSeek 4.1-1017 is roughly on par with Opus 5, significant jump compared to DeepSeek 4.1 Flash regular. It outperforms GLM5.3 across the board and even GPT-5.6 Sol! Buy 2 DGX spark and run this baby locally. China is back!
imjustnewatai
@imjustnewataiOct 17
Deepseek just released a new 4.1 version On par with opus 5 huggingface.co/deepseek-ai/D…
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Pintu (Learner) retweeted
NO1ennn
@N01ennnOct 16
this is pure f*cking treasure REA creator just dropped 20 GitHub repos to build a f*cking reverse engineering studio: 01 / analysis core 02 / mobile & apps 03 / binary & low-level 04 / network & runtime 05 / rebuild & verify the loop: binary -> REA -> SPEC.md -> rebuild -> oracle -> retry study the original. ship your own.
NO1ennn
@N01ennnOct 14
REA is pure f*cking treasure right now it lets your AI agent reverse engineer any app, down to the binary Opus 5.5 reads how a feature works, then rebuilds its own version from scratch but one wrong number can pass every check in this article :

How to Turn Opus 5.5 Into a Reverse Engineer: The Full Guide to REA, Oracles and Clean-Room Loops

Article · @N01ennn
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