ከአንድ ወር በፊት የፓይተን ተማሪወች በኮምፒዩተር ላብ 3 ውስጥ የሚድ ፈተና በመውሰድ ላይ! ነገ በሚጀምረው አዲስ ባች ተቀላቀሉን::

🔵 FUTURE DEVELOPERS IN ACTION! 🚀

Snapshot from today's Python Mid Exam at MiT Computer Lab 03. Proud to see our students mastering programming fundamentals and problem-solving skills! 💻

🌟 Want to be part of the next tech revolution?
Join our NEW BATCH starting soon!

What you'll learn:
✅ Python Programming from Zero to Hero
✅ Real-world Project Development
✅ Data Structures & Algorithms
✅ Problem Solving Techniques

🎯 Career Opportunities:
• Software Developer
• Data Scientist
• AI/ML Engineer
• Backend Developer
• And more!

📍 Location: Mizan Institute of Technology (MiT)
📞 Call: 0987143030
📱 WhatsApp: 0987143030

Don't miss this opportunity to transform your career! Limited seats available.

#MiTEthiopia #PythonProgramming #CodingBootcamp #TechEducation #LearnToCode #Ethiopia #AddisAbaba #TechCareers

በኮምፒዩተር ላብ 1 እና በኮምፒዩተር ላብ 3 ውስጥ የፉል ስታክ ዌብ ደቨሎፕመንት ሚድ ፈተና እየወሰዱ ካሉ ተማሪወቻችን መሃል የላብ 1 ተፈታኞች!



🚀 FUTURE FULL STACK DEVELOPERS IN ACTION!

📹 Fom MiT Computer Lab 1, where our MERN Stack warriors are crushing their Mid Exam! (Plus more talents in Lab 3) 💪


Building tomorrow's web developers TODAY at Mizan Institute of Technology!

🌟 Want to become a Full Stack Developer?
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What you'll master:
✅ Front-end Development
✅ Back-end Development
✅ Database Management
✅ API Integration
✅ Real-world Projects
✅ Industry-standard Tools

💼 Career Paths:
• Full Stack Developer
• Frontend Developer
• Backend Developer
• Web Application Engineer
• Software Developer

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#MiTEthiopia #WebDevelopment #MERNstack #FullStack #CodingLife #TechEducation #Ethiopia #AddisAbaba #TechCareers #Programming

OpenAI CEO Sam Altman has set a bold goal for 2025: achieving artificial general intelligence (AGI), a level of AI that learns and understands like humans.

In a conversation with Y Combinator CEO Gary Tan, Altman made his excitement clear. When Tan asked, “What are you excited about in 2025?” Altman replied confidently, “AGI.” He sees this shift as a major milestone just around the corner.

As Altman pushes forward, two big questions remain: is AGI really that close, and can OpenAI manage its impact? If AGI arrives by 2025, Altman’s ambition may indeed launch a new era, ready or not.

#OpenAI #SamAltman #chatgpt #AGI #AI #artificialintelligence #technews #futuretech #Year2025

"ኮንታ" ወደ ተቋማችን Mizan Institute of Technology (MiT) ብቅ ብሎ ነበር!

https://www.tiktok.com/@mizantechinstitute?_t=8rUhPsfsI4N&_r=1

BREAKING: Amazon woke up this week and chose violence. They just announced their own foundation models, 75% cheaper. Plus AI Chips. Plus super computer. They’re coming for EVERYONE.

It's like a coordinated attack on every major AI battlefront.

Amazon is simultaneously challenging OpenAI/Microsoft in foundation models, NVIDIA in chips, xAI in supercomputing, and securing powerful allies like Anthropic and Apple. And SAP loves all this, BTW.

With hashtag#AWSreInvent in the books, this is what we have from Amazon:


1. Foundation Model Domination


- Six new Nova models that match or exceed competitors
- 75% lower costs than current market leaders
- Already powering 1,000 Amazon applications
- 2025 roadmap includes groundbreaking speech-to-speech and "any-to-any" models
- Supporting 200+ languages while others stay English-focused


2. The Chip Revolution


- Trainium2 chips showing 4x performance gains
- Slashing costs by 50% compared to Nvidia
- Apple signed on as major customer
- Deep collaboration with Annapurna Labs
- Next-gen Trainium3 already in development


3. Project Rainier: The Super Computer

- Building world's largest distributed AI compute cluster
- Hundreds of thousands of Trainium chips working in unison
- 5x more powerful than Anthropic's current systems
- Multi-location design for unprecedented scale
- Direct challenger to xAI's Colossus


4. The Anthropic Power Play

- Massive $8B investment
- Secured position as primary cloud provider
- Exclusive access to future Claude models
- Deep technical collaboration on chip optimization
- Early access for AWS customers

The most impressive part: Amazon's creating an entire ecosystem. They're simultaneously solving for compute (Project Rainier), chips (Trainium), models (Nova), and partnerships (Anthropic) - all while undercutting everyone's prices. Conor

Google has shown off a computer chip that does a septillion years’ work in just 5 minutes! The tech giant said it’s overcome a key challenge in quantum computing, helping it solve a computing problem in the time it takes to boil an egg. The same task would take a classical computer longer than the entire history of the universe.

Good news for developers.

Mizan Institute of Technology (MiT) is going live on Bisrat Radio & Television today at 4:25 PM (10:25 PM local time)! Tune in to learn more about our transformative courses and services. Visit our website at www.mizantechinstitute.com for more information. #MiT #BisratTV #LearnWithUs

President Donald Trump announced a significant partnership between OpenAI, SoftBank, and Oracle to invest billions in artificial intelligence infrastructure in the United States, with the goal of advancing AI technologies domestically.

The joint venture, called Stargate, will see an investment of $500 billion over the next four years. SoftBank CEO Masayoshi Son, OpenAI’s Sam Altman, and Oracle’s Larry Ellison joined Trump for the announcement, emphasizing the U.S.'s competitive stance against China.

Trump highlighted the importance of generating substantial electricity for AI projects and the establishment of multiple data centers in Texas as the initial step. However, Elon Musk later raised questions about the scope of the investment.

#AIInvestment #ArtificialIntelligence #USTechIndustry #Stargate #Trump

OpenAI has unveiled Operator, a new AI agent capable of autonomously completing various online tasks.

This advancement is a key step in the company's push toward developing AI agents, a technology that Sam Altman, CEO of OpenAI, believes will be crucial by 2025.

Operator is designed for tasks like booking travel, reserving restaurant tables, and online shopping. Initially available to US users with the $200 Pro subscription, OpenAI plans to expand the feature to other tiers and regions, though Europe will see a delayed rollout.

Accessible through http://operator.chatgpt.com, the AI operates by controlling a dedicated web browser, performing actions like navigating menus, clicking buttons, and filling forms.

Powered by OpenAI’s Computer-Using Agent (CUA) model, Operator can complete tasks like shopping, dining, and travel, with partnerships including DoorDash, eBay, and Uber.

#OpenAI #AI #Operator #AIAgent #ChatGPT #TechNews #Automation #ArtificialIntelligence #MiT #MizanMiT #MizanTech

Chinese startup DeepSeek has made waves in the tech world with its latest AI model, DeepSeek R1, which has overtaken ChatGPT to become the number one app on Apple’s App Store in the United States.

DeepSeek R1 is a game-changer, offering advanced capabilities in complex reasoning tasks at a fraction of the cost. Developed for just $5.6 million, it costs up to 95% less than competing models from OpenAI. Early users are impressed, praising its efficiency in coding, web development, chess strategy, and mathematical problem-solving. Benchmark tests highlight its strength in tackling difficult coding and computational challenges.

One of the standout features of DeepSeek R1 is its ability to run locally on standard consumer hardware while handling complex tasks efficiently. Over the weekend, users shared examples on social media, showcasing the model’s performance on modest systems.

DeepSeek’s founder, Liang Wenfeng, emphasized their mission to make AI innovation accessible to everyone. The company offers free access for individuals and charges developers just $0.14 per million tokens, compared to OpenAI’s $7.5. This approach has resonated widely, boosting its popularity.

Despite challenges like restricted access to advanced U.S. semiconductor technology, DeepSeek stockpiled 10,000 Nvidia H100 chips before export controls, ensuring uninterrupted development. This achievement underscores the company’s determination to innovate despite geopolitical hurdles.

DeepSeek R1’s rise marks a major step in democratizing AI technology, setting a new standard in the field.

DeepSeek Just Dropped the AI Mic - and Freaked Everybody Out

You guys … imagine I tell you there's this Chinese startup making all the big tech giants sweat bullets. Meet DeepSeek, shining bright with a brand-new model: R1. But in some respects, it's like 'ChatGPT for China' on steroids, with only an economic cost, and super-efficient. and eerier?

Now to the gossip: ☕

1. DeepSeek's R1 just dropped on the stage and stole the show, an open-source reasoning model already hitting app stores harder than your aunt crushed Doritos onto her casserole.

2. Global meltdown? Nvidia, Intel, and Microsoft stocks yelled, "Bye, Felicia!" and plummeted faster than your New Year's resolutions. Investors were like, "Uh, wait a minute-we have sunk billions into Western AI, and now this?!

3. And DeepSeek doesn't even need a bunch of Nvidia chips to flex. Imagine pulling up as the party with store-brand snacks and everyone is like "OMG, this is better than Doritos."

But here's the thing that makes me go, "Uh, WHAT?
DeepSeek operates under China's data laws… which means the CCP could, technically, get a front-row seat to your data. Really want your TikTok algorithm-and your emails-to be someone else's business?

Re: This isn't just a tech story-should be a privacy wake-up call.

Will AI dominance go from West to China?

Are we supposed to begin learning Mandarin in preparation?

The ball is in your court, America.

Let me know what you think about it in the comment section. Friendly competition or Netflix dystopian drama starting:

#DeepSeekDrama #CCPDataConcerns #AIInvasion

Cyber🙈



The $6M AI Hack: A cautionary Story of How Hackers Found the Perfect Storm in DeepSeek's Infrastructure…

The most fascinating cyber attacks aren't about brute force - they're about finding the perfect intersection of technical vulnerabilities. Let me take you inside what might be the first of many to come AI security breaches.

🎯 The Target: DeepSeek AI
- Built a revolutionary AI model for $6M
- Topped Apple Store charts
- Matched performance of billion-dollar competitors

But here's where it gets interesting...

The attackers didn't just find a vulnerability - they found a whole new attack surface that exists only in AI infrastructure.

As a cyber security expert with 24 years in the industry I find it interesting how creative hackers really are and how new innovation creates new vulnerabilities.

Here's the brilliant (and terrifying) part of the attack:

1. The Registration Chokepoint
The attackers discovered that DeepSeek's registration system was built like a traditional web app:
- Monolithic authentication service
- Standard API rate limiting
- Traditional request throttling

But AI services need something entirely different. It's like putting a regular car's engine management system in a rocket - it's bound to fail spectacularly.

2. The Infrastructure Perfect Storm
They exploited three critical gaps:

Rate Limiting Layer:
- Couldn't handle AI's unique burst patterns
- Failed to distinguish between legitimate ML requests and attacks
- Regional distribution bottlenecks

Authentication Systems:
- Collapsed under distributed request patterns
- Lacked AI-specific concurrent request handling
- Missing ML-optimized verification workflows

Scaling Architecture:
- Rigid autoscaling couldn't match attack patterns
- Registration services weren't properly distributed
- Resource allocation couldn't adapt fast enough

🎭 The Plot Twist:
The attackers weren't after the AI model (it was open source anyway!) - they targeted DeepSeek's growth potential. By overwhelming the registration system, they effectively put a chokehold on the company's viral moment.

💡 The Technical Lessons Every CTO Needs to Know:

1. AI Infrastructure needs:
- Adaptive rate limiting based on ML behavior patterns
- Distributed authentication with regional failover
- AI-specific anomaly detection
- Elastic scaling for ML model serving
- Smart request prioritization

2. New Security Paradigm:
- Traditional web security ≠ AI service security
- Growth vectors are the new attack surface
- Open source requires rethinking protection strategies

The question every tech leader should be asking: "Is our infrastructure ready for AI-scale attacks?"

This new breed of AI hacks is definitely going to keep my AI cybersecurity firm in business…

Credit: Gybrius

#AISecurityBreach #TechnicalAnalysis #CyberSecurity #CloudInfrastructure #ArtificialIntelligence #TechLeadership #InfrastructureSecurity #DeepSeekAI