Bliss Chapman

The whole shebang.

The whole shebang.

Yeah. We we've had, we've had, um, I mean, our monkeys have had two neural links. One in each hemisphere. And then we're also looking at, you know, potential of having one in motor cortex, one in visual cortex, and one in wherever other cortex.

Yeah. We we've had, we've had, um, I mean, our monkeys have had two neural links. One in each hemisphere. And then we're also looking at, you know, potential of having one in motor cortex, one in visual cortex, and one in wherever other cortex.

Yeah. We we've had, we've had, um, I mean, our monkeys have had two neural links. One in each hemisphere. And then we're also looking at, you know, potential of having one in motor cortex, one in visual cortex, and one in wherever other cortex.

That's the goal. And, you know, we talk about at Neuralink building a generalized neural interface to the brain. And that also is strategically how we're approaching this with marketing and also with regulatory, which is, hey, look, we have the robot and the robot can access any part of the cortex.

That's the goal. And, you know, we talk about at Neuralink building a generalized neural interface to the brain. And that also is strategically how we're approaching this with marketing and also with regulatory, which is, hey, look, we have the robot and the robot can access any part of the cortex.

That's the goal. And, you know, we talk about at Neuralink building a generalized neural interface to the brain. And that also is strategically how we're approaching this with marketing and also with regulatory, which is, hey, look, we have the robot and the robot can access any part of the cortex.

Right now we're focused on motor cortex with current version of the N1 that's specialized for motor decoding tasks. But also at the end of the day, there's kind of a general compute available there. But typically, if you want to really get down to kind of hyper-optimizing for power and efficiency, you do need to get to some specialized function, right?

Right now we're focused on motor cortex with current version of the N1 that's specialized for motor decoding tasks. But also at the end of the day, there's kind of a general compute available there. But typically, if you want to really get down to kind of hyper-optimizing for power and efficiency, you do need to get to some specialized function, right?

Right now we're focused on motor cortex with current version of the N1 that's specialized for motor decoding tasks. But also at the end of the day, there's kind of a general compute available there. But typically, if you want to really get down to kind of hyper-optimizing for power and efficiency, you do need to get to some specialized function, right?

But what we're saying is that, hey, you are now used to this robotic insertion techniques, which took many, many years of showing data and in conversation with the FDA, and also internally convincing ourselves that this is safe. And

But what we're saying is that, hey, you are now used to this robotic insertion techniques, which took many, many years of showing data and in conversation with the FDA, and also internally convincing ourselves that this is safe. And

But what we're saying is that, hey, you are now used to this robotic insertion techniques, which took many, many years of showing data and in conversation with the FDA, and also internally convincing ourselves that this is safe. And

Now, the difference is if we go to other parts of the brain, like visual cortex, which we're interested in as our second product, obviously it's a completely different environment. The cortex is laid out very, very differently. you know, it's going to be more stimulation focused rather than recording, just kind of creating visual percepts.

Now, the difference is if we go to other parts of the brain, like visual cortex, which we're interested in as our second product, obviously it's a completely different environment. The cortex is laid out very, very differently. you know, it's going to be more stimulation focused rather than recording, just kind of creating visual percepts.

Now, the difference is if we go to other parts of the brain, like visual cortex, which we're interested in as our second product, obviously it's a completely different environment. The cortex is laid out very, very differently. you know, it's going to be more stimulation focused rather than recording, just kind of creating visual percepts.

But in the end, we're using the same thin film array technology. We're using the same robot insertion technology. We're using the same, you know, packaging technology. Now it's more the conversation is focused around what are the differences and what are the implication of those differences in safety and efficacy.

But in the end, we're using the same thin film array technology. We're using the same robot insertion technology. We're using the same, you know, packaging technology. Now it's more the conversation is focused around what are the differences and what are the implication of those differences in safety and efficacy.

But in the end, we're using the same thin film array technology. We're using the same robot insertion technology. We're using the same, you know, packaging technology. Now it's more the conversation is focused around what are the differences and what are the implication of those differences in safety and efficacy.