GTA 6 DRIVING LOOKS COMPLETELY DIFFERENT FROM GTA 5
This gameplay gives us a surprisingly clear look at how cars behave in GTA 6.
The vehicle feels heavier. Its body leans through corners, the rear shifts under hard steering, and collisions carry real momentum. You can feel the weight transfer instead of watching the car instantly obey every input.
Rockstar is also continuing its fictional car culture. The white sports car appears inspired by the Chevrolet Corvette C8, while the surrounding pickups resemble American Ford, Chevrolet and Dodge models—rebuilt as GTA-style parody brands.
It still looks more accessible than a simulator. But compared with GTA 5, the suspension, grip and recovery seem far less arcade-like.
Is it better than Forza Horizon 6? Probably not for precise racing physics. That isn’t GTA’s job.
Forza makes driving the destination. GTA 6 is making it part of a living city—and even this unfinished footage already makes every chase look more physical.
@wpzzra Right. I hope not all the cars will look like that. I realise there are copyright issues, but I HOPE they’ll look at least a little bit like the real brands.
GTA 6 DRIVING LOOKS COMPLETELY DIFFERENT FROM GTA 5
This gameplay gives us a surprisingly clear look at how cars behave in GTA 6.
The vehicle feels heavier. Its body leans through corners, the rear shifts under hard steering, and collisions carry real momentum. You can feel the weight transfer instead of watching the car instantly obey every input.
Rockstar is also continuing its fictional car culture. The white sports car appears inspired by the Chevrolet Corvette C8, while the surrounding pickups resemble American Ford, Chevrolet and Dodge models—rebuilt as GTA-style parody brands.
It still looks more accessible than a simulator. But compared with GTA 5, the suspension, grip and recovery seem far less arcade-like.
Is it better than Forza Horizon 6? Probably not for precise racing physics. That isn’t GTA’s job.
Forza makes driving the destination. GTA 6 is making it part of a living city—and even this unfinished footage already makes every chase look more physical.
Scott Wu launched Devin with a $21M Series A from Founders Fund. He was pitching an “AI software engineer” while developers asked whether it could do the job.
The bet was not autocomplete. Wu wanted an agent that could keep working inside a computer after the first answer.
Cognition said Devin could use a sandboxed workspace: shell, code editor, browser, and docs. It could plan a task, use those tools, run tests, and show its progress.
That is the AI mechanism. Instead of only suggesting code, Devin was designed to carry a multi-step engineering task forward, while the human could watch and redirect it.
The first problem was trust. An agent that takes many steps can also take the wrong steps, so the product had to make its work visible rather than behave like a black box.
In a May 2024 interview, Wu described the reaction as split: skeptics doubted it would work, while others feared engineers would lose their jobs.
His argument was simpler. There was more software to build than engineers had time to build, so a useful agent should multiply a team before it tries to replace one.
The $21M was a Series A investment in Cognition, not money Wu personally made. His personal proceeds were not disclosed.
That is a narrower lesson than “AI replaces coders.” An agent earns trust by making its reasoning visible: plan, use tools, test, show the work, let a human decide.
That still feels like the practical test for AI agents: not whether a demo can write code, but whether a team can trust it with the next step.
Dave Rogenmoser thought he was building a Facebook-ad tool.
Twenty-one months later, Jasper raised a $125M Series A at a $1.5B valuation.
That is not $125M he personally made. It was new investor cash; his personal proceeds were never disclosed.
Jasper started as https://t.co/frOST8xHZF. Rogenmoser knew the marketing problem: small teams could burn days writing variations of ads, emails, posts, and landing-page copy.
Jasper used a language model to turn a plain-language instruction into a first draft.
Then it wrapped the model in templates and a browser extension, so users could work inside tools where they already wrote.
That packaging was the bet. A language model alone was not a business; the product had to make a marketer’s next step obvious.
In the launch video, the team shows a user typing a request for a Twitter thread. Jasper generates a draft inside the Chrome extension within seconds.
By the end of 2021, Rogenmoser said Jasper had more than 40,000 customers while the company was still a team of nine. The Series A was announced before ChatGPT arrived.
The valuation was a price investors placed on future growth, not a measure of Jasper’s revenue and not Dave’s personal wealth.
The useful lesson is less romantic: models get attention, but workflow distribution gets paid. The winning product is often the one that meets people in the tab they already have open.
Dave Rogenmoser thought he was building a Facebook-ad tool.
Twenty-one months later, Jasper raised a $125M Series A at a $1.5B valuation.
That is not $125M he personally made. It was new investor cash; his personal proceeds were never disclosed.
Jasper started as https://t.co/frOST8xHZF. Rogenmoser knew the marketing problem: small teams could burn days writing variations of ads, emails, posts, and landing-page copy.
Jasper used a language model to turn a plain-language instruction into a first draft.
Then it wrapped the model in templates and a browser extension, so users could work inside tools where they already wrote.
That packaging was the bet. A language model alone was not a business; the product had to make a marketer’s next step obvious.
In the launch video, the team shows a user typing a request for a Twitter thread. Jasper generates a draft inside the Chrome extension within seconds.
By the end of 2021, Rogenmoser said Jasper had more than 40,000 customers while the company was still a team of nine. The Series A was announced before ChatGPT arrived.
The valuation was a price investors placed on future growth, not a measure of Jasper’s revenue and not Dave’s personal wealth.
The useful lesson is less romantic: models get attention, but workflow distribution gets paid. The winning product is often the one that meets people in the tab they already have open.
A DEAD FLY IS NOT LIVING INSIDE MINECRAFT
1.2 million views for a Minecraft spider allegedly carrying the consciousness of a dead fruit fly.
The real experiment is extraordinary—but it did not upload a mind. Eon Systems connected a 140,000-neuron fly-brain model to a virtual body. The Minecraft version is unfinished.
The underlying connectome contains roughly 50 million synaptic connections. Eon linked it to an anatomically structured body with 87 joints inside the MuJoCo physics engine.
Every 15 milliseconds, simulated sensory activity updates the brain model, selected descending signals reach the body, and movement changes the next sensory input. That closed loop is real.
But the body is not controlled by a complete digital fly brain. It still uses a small set of descending outputs and imitation-trained motor controllers. Eon says visual activity did not yet substantially shape behavior.
The viral creator added the spider, self-destruction and immortality story. Follow-up videos say the real mod and full demo are still being developed. No evidence establishes consciousness, memory or identity.
The breakthrough is not a soul trapped in Minecraft.
It is that a biological wiring diagram can begin to act through code—and that the internet can turn a model into a mind faster than science can explain the difference.
No, that’s not the case
In reality, the system simulates only part of the cycle:
- a sensory signal is fed into a simplified model of the brain;
- the activity of selected neurons is converted into several movement commands;
- the resulting controllers move the virtual body;
- the body’s new position generates the next sensory signal.
A DEAD FLY IS NOT LIVING INSIDE MINECRAFT
1.2 million views for a Minecraft spider allegedly carrying the consciousness of a dead fruit fly.
The real experiment is extraordinary—but it did not upload a mind. Eon Systems connected a 140,000-neuron fly-brain model to a virtual body. The Minecraft version is unfinished.
The underlying connectome contains roughly 50 million synaptic connections. Eon linked it to an anatomically structured body with 87 joints inside the MuJoCo physics engine.
Every 15 milliseconds, simulated sensory activity updates the brain model, selected descending signals reach the body, and movement changes the next sensory input. That closed loop is real.
But the body is not controlled by a complete digital fly brain. It still uses a small set of descending outputs and imitation-trained motor controllers. Eon says visual activity did not yet substantially shape behavior.
The viral creator added the spider, self-destruction and immortality story. Follow-up videos say the real mod and full demo are still being developed. No evidence establishes consciousness, memory or identity.
The breakthrough is not a soul trapped in Minecraft.
It is that a biological wiring diagram can begin to act through code—and that the internet can turn a model into a mind faster than science can explain the difference.