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  • Nvidia’s $46.7B Q2 proves the platform, but its next fight is ASIC economics on inference

    Nvidia’s $46.7B Q2 proves the platform, but its next fight is ASIC economics on inference

    Behind Nvidia's strong quarterlyu results are ASICs gaining ground in key Nvidia segments, challenging their growth in the quarters to come.
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  • Enterprise leaders say recipe for AI agents is matching them to existing processes — not the other way around

    Enterprise leaders say recipe for AI agents is matching them to existing processes — not the other way around

    Global enterprises Block and GlaxoSmithKline (GSK) are exploring AI agent proof of concepts in financial services and drug discovery. 
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  • Busted by the em dash — AI’s favorite punctuation mark, and how it’s blowing your cover

    Busted by the em dash — AI’s favorite punctuation mark, and how it’s blowing your cover

    AI is brilliant at polishing and rephrasing. But like a child with glitter glue, you still need to supervise it.
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  • MIT report misunderstood: Shadow AI economy booms while headlines cry failure

    MIT report misunderstood: Shadow AI economy booms while headlines cry failure

    A new MIT report reveals that while 95% of corporate AI pilots fail, 90% of workers are quietly succeeding with personal AI tools, driving a hidden productivity boom.
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  • CodeSignal’s new AI tutoring app Cosmo wants to be the ‘Duolingo for job skills’

    CodeSignal’s new AI tutoring app Cosmo wants to be the ‘Duolingo for job skills’

    CodeSignal Inc., the San Francisco-based skills assessment platform trusted by Netflix, Meta, and Capital One, launched Cosmo on Wednesday, a mobile learning application that transforms spare minutes into career-ready skills through artificial intelligence-powered micro-courses. The app represents a strategic pivot for CodeSignal, which built its reputation assessing technical talent for major corporations but always harbored […]

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  • Hugging Face: 5 ways enterprises can slash AI costs without sacrificing performance 

    Hugging Face: 5 ways enterprises can slash AI costs without sacrificing performance 

    Ultimately, model makers and enterprises are focusing on the wrong issue: They should be computing smarter, not harder.
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  • Teaching the model: Designing LLM feedback loops that get smarter over time

    Teaching the model: Designing LLM feedback loops that get smarter over time

    How to close the loop between user behavior and LLM performance, and why human-in-the-loop systems are still essential in the age of gen AI.
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  • Gartner: GPT-5 is here, but the infrastructure to support true agentic AI isn’t (yet)

    Gartner: GPT-5 is here, but the infrastructure to support true agentic AI isn’t (yet)

    While OpenAI’s GPT-5 is highly-performant, capable and an important step forward, it features just faint glimmers of true agentic AI. 
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  • What happens the day after superintelligence?

    What happens the day after superintelligence?

    We could soon find ourselves deferring to AI assistants that botsplain our every experience in real time. Is this empowerment or deferral?
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  • AI’s promise of opportunity masks a reality of managed displacement

    AI’s promise of opportunity masks a reality of managed displacement

    The challenge is not just to build better AI tools, but to ask harder questions about where they are taking us.
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Phone: (512) 329-2625

Email: contactus@optimustg.com

12600 Hill Country Blvd. R275

Austin, Texas 78738

Useful Links

Optimus Techservices

Optimus Communications

Optimus Data Centers

Optimus AI

Optimus Security

Optimus Power

Privacy Policy
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Terms of Service
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