The truth is that the zoom-in segment to the boy's face and then the zoom-in to the pangolin's, coming to life with that joyful expression, has me doing somersaults. Creative decisions from Seedance 2.0
GENERATIVE AI
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Seedance 2.0 First Tests: Freepik’s Generative AI Tool
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Primeras pruebas jugando con Seedance 2.0 desde Freepik 👀🏄♂️ pic.twitter.com/GJfCSq0Oyd
— Carlos Santana (@DotCSV) 2 avril 2026Primeras pruebas jugando con Seedance 2.0 desde Freepik
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From Agent-1 to Superintelligence: The AI 2027 Scenario
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From Agent-1 to Superintelligence: Decoding the AI 2027 Scenario and Its Profound Implications Check out my article: linkedin.com/pulse/from-agen… Via @ingliguori #AI2027 #FutureTech
→ View original post on X — @ingliguori, 2026-04-02 12:17 UTC
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Slopsquatting: AI Hallucinations Enable New Supply Chain Attack
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URGENT PSA – New supply chain attack vector that I found WILD > AI LLMs hallucinate package names roughly 18-21% of the time.
— Basel Ismail (@BaselIsmail) 2 avril 2026
Hackers have started pre-registering those hallucinated names on PyPI and npm with malicious payloads; they call it "slopsquatting"
You can only imagine… pic.twitter.com/wyPwHE9NT5URGENT PSA – New supply chain attack vector that I found WILD > AI LLMs hallucinate package names roughly 18-21% of the time. Hackers have started pre-registering those hallucinated names on PyPI and npm with malicious payloads; they call it "slopsquatting" You can only imagine what's next Community note: The 'slopsquatting' attack vector was documented as early as April 2025 and not newly discovered. The cited 18-21% package hallucination rate applies to open-source LLMs; commercial models average 5.2% according to the referenced study using pre-2025 models. socket.dev/blog/slopsquat… arxiv.org/pdf/2406.10279
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Future of Work: Human-AI-Robot Tripartite Workforce Collaboration
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The future of work isn’t Human vs. Machine.
— Harold Sinnott #MWC26 (@HaroldSinnott) 2 avril 2026
We’re moving toward a "tripartite" workforce:
People + Agents + Robots
Despite AI’s ability to automate 57% of tasks, the human element remains the competitive edge.
See why: https://t.co/wnNvytOG7u@McKinsey_MGI #AI #MWC26 #IoT… pic.twitter.com/oQ30O8xPWrThe future of work isn’t Human vs. Machine. We’re moving toward a "tripartite" workforce: People + Agents + Robots Despite AI’s ability to automate 57% of tasks, the human element remains the competitive edge. See why: mck.co/aiskills @McKinsey_MGI #AI #MWC26 #IoT #5G #FutureOfWork
→ View original post on X — @haroldsinnott, 2026-04-02 12:01 UTC
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Building an App with Gemini for Manual AI Tasks
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Yeah, that's something I do *manually* with Gemini, but I have actually thought about an app 🙂
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Sakana releases interesting updates with Marlin beta launch
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Sakana keeps shipping interesting stuff. Will definitely check out Marlin beta!
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Claude vs GPT: Performance Comparison for Daily Work
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The pace of releases is getting hard to keep up with haha. On my end, Claude's models usually hold up quite nicely vs. GPT's for actual day to day work. We'll see if that changes it!
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PrismML’s 1-bit Bonsai Models Achieve 10x Intelligence Density Improvement
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Pretty insane: PrismML has introduced its 1-bit Bonsai models, compressing an 8.2B-parameter LLM into just 1.15 GB while maintaining performance comparable to leading 8B models. By focusing on “intelligence density,” the company claims roughly a 10x improvement in capability per
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AI Models Coding Quality and Image Generation Improvements Compared
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Curious how they stack up for coding quality specifically! And if image gen again improves significantly!