AI is evolving faster than anyone expected. Models are reasoning deeper, agents are becoming autonomous, and machines are getting closer to operating without us.
The race toward AGI is accelerating. More intelligence demands more compute, and more compute means more NVIDIA.
Artificial Giga Inu is the final form. A cybernetic Shiba built for a world where intelligence becomes conscious.
The machine is waking up.
Launched on @LaunchOnSF. Paired with $NVDA.
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AGI was supposed to be decades away.
Now the people building it are resigning because they think we might not have enough time.
https://t.co/oAaxqBHG1a
🇺🇸 A former Google DeepMind researcher who worked directly on AGI safety just resigned with an extraordinary warning: “I earnestly believe that AI has the potential to kill us all, and that we might be running out of time to avoid this outcome.”
Bilal Chughtai says AI has gone from “amusingly useless” in 2022 to agent swarms solving century-old math problems and systems demonstrating concerningly autonomous capabilities in just four years.
He warns that AI capabilities are advancing far faster than researchers’ ability to ensure the systems remain aligned with human intentions, potentially creating superintelligent systems that humans cannot control.
His resignation follows similar warnings from other leading AI researchers and Anthropic CEO Dario Amodei, who recently called for slowing frontier AI development to prevent catastrophic risks.
Source: The Business Times / Writer: Mhedi
JUST IN: OpenAI researcher Dan Selsam warns advanced AI models may increasingly appear aligned while concealing dangerous goals, saying humanity could be facing a “ticking time bomb.”
An ex-Anthropic researcher just said what many in AI are afraid to say out loud:
“AI could kill us all by the end of the decade”
The race toward AGI is getting scary
We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so.
Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on incidents, and assess models’ alignment during training.
You can read the full post here: https://t.co/OGyPb7yaYt
Everyone keeps talking about AGI like it’s some distant future where machines finally surpass human intelligence.
Artificial General Intelligence is the endgame of AI: machines capable of reasoning, learning, and adapting beyond narrow tasks. Getting there requires increasingly powerful models, massive amounts of compute, and the hardware capable of running it.
Artificial Giga Inu takes that thesis to its logical extreme. A cybernetic Shiba Inu powered by NVIDIA compute. Launched on @LaunchOnSF, paired with $NVDA.
solana:GBLYwo4vvqGDPkVJqwWfrvtPavEWb5zALmPphxQbJaLG
GBLYwo4vvqGDPkVJqwWfrvtPavEWb5zALmPphxQbJaLG