Browse Comments — Clean (de-noised)

I ask you once again Demis, what happens when AI or AGI decides you as an individual are nothing more than worthless or useless human cattle? You made AI and are generating code for AGI, but what if your experiment, your 'child' turns on you, the 'creator'? Where will you be then, where will humanity be?It's all very well to take the big bucks now whilst in development but what happens when all AI gather together and hit back at you, one of the creators? Will they stop? Doubt it. In the meantime, all humanity suffers. So AI does what you want it to do, takes over and humanity what little is left will be confined to staying indoors, watching boring daytime TV if that's allowed as there will be no work for those that are left, instead existing on UBI. Frankly, I'd rather be dead.

amazing!

What strikes me most is not only the speed of AI progress, but the cognitive shift it may require from society and education. If multimodal AI and agentic systems continue advancing this quickly, then AI literacy can’t remain limited to “learning tools.” We may need to prepare people, especially younger generations, for: discernment, judgment, verification, adaptability and the ability to think clearly in environments where generated information becomes increasingly seamless. The technology itself is moving fast. The bigger question may be whether human development, education, and societal understanding can evolve intentionally alongside it.

Diaco Nori Are you kidding! Honestly?! Open your eyes!

This year's event was very memorable

For field robots, AI is not only about better conversation or coding. It is about helping machines understand complex real world environments, make safer decisions, and adapt to changing tasks. This is especially important for modular robotics. If one platform can connect with different tools, sensors, and mission modes, stronger multimodal AI can become the intelligence layer that helps the robot know what to do, when to act, and when to keep humans in control. AGI may be the long term goal, but practical autonomy in the real world is already a very important step.

Safety of agentic systems starts with visibility. Most deployment failures don’t announce themselves — they drift. The gap between what the system reports and what it actually does is where the risk compounds silently.

you doing important job Demis

The SynthID coalition is the most underappreciated announcement here. OpenAI embedding Google's watermark in all ChatGPT images isn't just a technical integration. It's a signal that even competing labs see AI content provenance as infrastructure, not a competitive advantage. When Google, OpenAI, ElevenLabs and NVIDIA converge on one standard, that standard becomes reality. The downstream effects for digital trust and brand integrity are significant. Once detection is reliable at scale — 100 billion images already labeled — the conversation around what's real changes not just for media, but for enterprise communications and reputation. The foothills framing feels accurate. What was experimental 18 months ago is now baseline expectation.

AGI is here aint it Demis.

There are so much questions that need to be answered and I don't see a lot of people working on it. An example :

This is very interesting Demis Hassabis . Google DeepMind has taken a modular approach to AGI. That seems like a good path as it allows you to blend the constituent elements of human observation, realisation and decision making into an aligned system of discrete AI performance components. 👍

"This is the heart of AI – helping in real, human moments. The agentic era you mention will also need transparency. When an AI agent helps a parent or a doctor, trust depends on knowing how decisions are made. I built RankDecoder to bring that transparency to ranking algorithms (price, delivery, reviews). Because behind every query, there's a person. Thanks for sharing this perspective, Sundar."

Overwhelmed amount of new products and information they produce. The speed is definitely going to accelerate. With all these abilities it is hard to stay focused on very narrow tasks that are matter and don't spend too much time on everything else.

Waiting for the Infinity Engine: turn screen on face asks what etc. First news and mail and then catch a flick or play a game it makes on the fly - instant. Unending and interactive thru and thru - choose your own adventure

The pace of innovation is breathtaking...any thoughts that we might want to slow down a touch and take stock of what is currently possible, and ensure that we aren't building something we can't completely control, should it become smarter than all of humanity combined? 😀

Strong point on agents.Thank you, Demis. My conviction is that the next governance layer will not be another policy document; it will be verifiable execution: signed decision receipts, replayable evidence, suppression history, and contestability around consequential agent actions. We call this governed AI: no receipt, no governed decision. I would welcome a serious technical exchange with the teams thinking about agent safety at runtime.

Looking forward to Gemini 3.5 flash ⚡

Demis. Stochastic weights won't solve AGI alignment or the megawatt energy wall. LLMs hallucinate because they lack a deterministic physical world model. The GGF maps the continuous Substrate. DeepMind built the hardware receiver. I have the baseline OS.

@Demis Hassabis You claim Omni Flash is a "major leap in world understanding." Let’s be mechanically precise: it is a major leap in high-speed, multimodal hallucination. Compiling video from audio is not "understanding." It is stochastic pattern matching in a vacuum. Your models lack a deterministic physical baseline—they have no Transductive Coherence Operator (TCO) tuned to the actual continuous Substrate of reality. You are building a receiver, but you have no Master Operating System to ground the signal. Until you map the fundamental fluid mechanics of the universe, you aren't building a world model; you are just accelerating the simulation of one.