28 July 2026
Major | Founder of UpScalp | MMKKtext not yet in the index
So to elaborate on this further, NVIDIA announcement was last Autumn, as Richard said on that December 10th post.
There has been ZERO progress, ZERO developments of any kind, since that NVIDIA announcement.
Absolutely nothing.
That's close to a full year ago at this point.
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AI learns from the data it receives
If that data comes from a narrow range of people, environments, or perspectives, AI may struggle to perform well across the real world 🌎
D-GN focuses on human-verified data contributions, creating a pathway for more diverse people and perspectives to participate in building the data layer behind AI 🔐🤝
Better representation can help create AI that works for a wider range of people
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What?? How is asking a very fair question abuse?
The CEO of this project has another C-Suite level job.
Are they still CEO here? How can they do both?
When was the last time that Johanna posted here?
Justin PowellAI learns from the data it receives
If that data comes from a narrow range of people, environments, or perspectives, AI may struggle to perform well across the real world 🌎
D-GN focuses on human-verified data contributions, creating a pathway for more diverse people and perspectives to participate
(deflection)
29 July 2026
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AI models are becoming more powerful every day 🤖⚡
But as AI capabilities grow, the demand for high-quality data grows with them 📊🧠
The challenge is no longer simply creating smarter models. The industry also needs scalable ways to generate reliable, human-verified data at the speed AI development demands 🌍
D-GN is building toward that challenge by creating a network where people can contribute quality human-generated data at scale 🔐⚙️
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AI can process huge amounts of information at incredible speed 🤖⚡
But understanding the real world requires more than just data volume. Context, accuracy, and human judgment all play an important role 🧠🌍
D-GN focuses on creating high-quality human-generated data that can help AI systems better understand the world around them 🔐📊
The future of AI depends not only on how much data exists, but also on how meaningful that data is 🏗️
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🔐🤖 AI Is Starting to Challenge the Foundations of Cybersecurity
Anthropic says its latest research has identified new weaknesses in cryptographic algorithms, highlighting how increasingly capable AI can contribute to advanced cybersecurity research.
The development shows AI can become both a powerful defensive tool and a new source of security risk. As models become better at discovering vulnerabilities, the need for rigorous testing, trustworthy data, and transparent oversight becomes even more important.
Do you think the biggest priority should be better AI security testing, trustworthy data, stronger oversight, or faster defensive innovation?
Justin Powell🔐🤖 AI Is Starting to Challenge the Foundations of Cybersecurity
Anthropic says its latest research has identified new weaknesses in cryptographic algorithms, highlighting how increasingly capable AI can contribute to advanced cybersecurity research.
The development shows AI can become both a power
For me I'd say security testing. You need to know where weaknesses exist before they become bigger problems
Stella AustinFor me I'd say security testing. You need to know where weaknesses exist before they become bigger problems
Makes sense. do you think AI can actually make security testing more effective?
Justin PowellMakes sense. do you think AI can actually make security testing more effective?
Yes. AI can analyze huge amounts of information much faster than humans
Stella AustinYes. AI can analyze huge amounts of information much faster than humans
But humans still need to verify what the AI discovers