Melak Wubshet 🐈

991 posts

Melak Wubshet 🐈

Melak Wubshet 🐈

@MelakeWub

Software Engineer | AI Engineer | AI/ML Enthusiast | Indie builder.

Coding Lab Katılım Kasım 2015
792 Takip Edilen562 Takipçiler
የጥቅምት flower 👸
የጥቅምት flower 👸@kalkidanegash·
Jeles is crying out load when they ask him የሻማ at the ሸቤ.😂
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Ruffin Perri-Greno
Ruffin Perri-Greno@gyina_yie·
African Cities Innovation Fund – Grants Up to $75,000 for African Innovators. Are you working on solutions to urban challenges in Sub-Saharan Africa? The #African Cities #Innovation Fund is supporting collaborative innovations that build smart, healthy, equitable, and resilient cities. ✨ Key Benefits 1. Grant funding of up to $75,000 2. Support for collaborative, scale-ready urban innovations 3. Focus on climate resilience, digital equity, youth employment, and healthy urban spaces 4. Opportunity to pilot impactful solutions for low-income urban communities 📅 Applications open: Early 2026 🔗 Learn more & apply:
 lnkd.in/gXeTbzjZ #AfricanOpportunities #GrantsForAfrica #UrbanInnovation #AfricaFunding #OpportunitiesForYouth
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AMI Labs
AMI Labs@amilabs·
Advanced Machine Intelligence (AMI) is building a new breed of AI systems that understand the world, have persistent memory, can reason and plan, and are controllable and safe. We’ve raised a $1.03B (~€890M) round from global investors who believe in our vision of universally intelligent systems centered on world models. This round is co-led by Cathay Innovation, Greycroft, Hiro Capital, HV Capital, and Bezos Expeditions, along with other investors and angels across the world. We are a growing team of researchers and builders, operating in Paris, New York, Montreal and Singapore from day one. Read more: amilabs.xyz AMI - Real world. Real intelligence.
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v0
v0@v0·
Important announcement from the v0 team
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Saken
Saken@sakenexe·
IShowSpeed showing the nightlife of this Ethiopian city 🇪🇹 It looks insanely beautiful 😍
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Melak Wubshet 🐈
Melak Wubshet 🐈@MelakeWub·
CrewAI - Max iterations to prevent loops or timeouts. TL;DR: Never trust execution! turn a 70% failure risk into 99.9% reliability using -> Validate-> Atomic write -> Verify -> Fallback #AI #AIAgent #AgenticAI
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Melak Wubshet 🐈
Melak Wubshet 🐈@MelakeWub·
Top Systems have common "Execution Trick" to mitigate these failures. For example: LangGraph - Roll back on failed execution, retry with new plan OpenAI Swarm - Human-in-the-loop on execution failure Semantic Kernel - Automatic function calling with execution setting
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Melak Wubshet 🐈
Melak Wubshet 🐈@MelakeWub·
Thread: 🧵 AI agents must be resilient, not just smart! Execution stage in agentic workflow is the hardest stage for agents to achieve successfully. It could be due to tool call error (the most common one), output parsing fails, side-effect mismatch or env't changed mid-loop.
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Alex Prompter
Alex Prompter@alex_prompter·
Holy shit. MIT just built an AI that can rewrite its own code to get smarter 🤯 It’s called SEAL (Self-Adapting Language Models). Instead of humans fine-tuning it, SEAL reads new info, rewrites it in its own words, and runs gradient updates on itself literally performing self-directed learning. The results? ✅ +40% boost in factual recall ✅ Outperforms GPT-4.1 using data it generated *itself* ✅ Learns new tasks without any human in the loop LLMs that finetune themselves are no longer sci-fi. We just entered the age of self-evolving models. Paper: jyopari. github. io/posts/seal
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