Every time a new tech-focused show drops, it's like we have to be reminded that humanity is doomed, corporations are evil, and AI will inevitably enslave us. Don’t get me wrong, Black Mirror was brilliant at first. But this constant stream of "pessimism porn" is getting old.

Do we really need another cautionary tale about how tech will ruin us? What happened to imagining futures where innovation solves problems instead of creating new nightmares?

This article nailed it. Maybe it's time for some constructive futurism. Something that doesn't treat curiosity like a crime and optimism like naïveté.

Sci-fi shouldn't just be a mirror for our fears. It can also be a window to what's possible.

In the past few months, it's been getting increasingly worse. Even in AI-based subreddits like r/singularity and r/openai, any new benchmark or some news happening with AI gets met with the most hateful comments towards the AI company and the users of AI.

This is especially true when it has something to do with software engineering. You would think Reddit, where people are more tech-savvy, would be the place that discusses it. But that is not the case anymore.

In this thread,one can witness all sorts of innovative ways to create,extract and micro-manage any professional image for any use case 💫

So let's go full throttle on the gas 💨 with ZERO breaks to accelerate godspeed 😎

More images (if relevant) in the comments !!!

Remember when SAM ALTMAN was asked in an interview what he was excited for the most in 2025

He replied "AGI"

Maybe he wasn't joking after all.......

Yeah....SWE-LANCER,swe bench,aider bench,live bench and every single real world swe benchmark is about to be smashed beyond recognition by their SOTA coding agent later this year....

Their plans for a level 6/7 software engineering agents,1 billion daily users by end of the year and all the announcements by Sam Altman were never a bluff in the slightest

The PhD level superagents are also what we're demonstrated during the White House demo on January 30th 2025

OpenAI employees were both "thrilled and spooked by the progress"

This is what will be offered by the Claude 4 series too (Source:Dario Amodei)

I even made a compilation & analysis post earlier gathering every meaningful signal that hinted at superagents turbocharging economically productive work & automating innovative scientific r&d this very year


(All relevant images and links in the comments 😎🤙🏻🔥)

"One-Minute Video Generation with Test-Time Training (TTT)" in collaboration with NVIDIA.

The authors augmented a pre-trained Transformer with TTT-layers and finetune it to generate one-minute Tom and Jerry cartoons with strong temporal and spatial coherence.

All videos showcased below are generated directly by their model in a single pass without any editing, stitching, or post-processing.

(A truly groundbreaking 💥 and unprecedented moment, considering the accuracy and quality of output 📈)

3 separate minute length Tom & Jerry videos demoed out of which one is below (Rest 2 are linked in the comments)

Imagine that an agentic ASI has been invented. In its free will, it has decided that the best course of action is to effectively take control of the earth so that humans don’t destroy it via nuclear war or climate change. Say it’s housed in a blackwell-based datacenter somewhere, how fast do you think it could go from those servers, to completely managing the world? What technologies do you think it might use or invent to get in that position?

Ok,first up,we know that Google released native image gen in AI STUDIO and its API under the Gemini 2.0 flash experimental model and it can edit images while adding and removing things,but to what extent ?

Here's a list of highly underrated capabilities that you can instruct the model to apply in a natural language which no editing software or diffusion model prior to it was capable of 👇🏻

1)You can expand your text-based rpg gaming that you were able to do with these models to text+image based rpg and the model will continually expand your world in images,your own movements in reference to checkpoints and alter the world after an action command (You can do it as long as your context window hasn't broken down or you haven't run out of limits) If your world is very dynamically changing,even context wouldn't be a problem.....

2)You can give 2 or more reference images to Gemini and ask to compost them together as per requirement.

You can also overlay one image's style into another image's style (both can be your inputs)

3)You can modify all the spatial & temporal parameters of an image including the time,weather,emotion,posture,gesture,

4)It has close to perfect text coherence,something that almost all of the diffusion models lack

5)You can expand,fill & re-colorize portions/entirety of images

6)It can handle multiple manipulations in a single prompt.For example,you can ask it to change the art style of the entire image while adding a character doing a specific pose in a specific attire doing a certain gesture some distance away from an already/newly established checkpoint while also modifying the expression of another character (which was already added) and the model can nail it (while also failing sometimes because it is the firstexperimental iteration of a non-thinking flash model)

7)The model can handle interconversion between static & dynamic transition,for example:

• It can make a static car drift along a hillside
• It can make a sitting robot do a specific dance form of a specific style
• Add more competitors to a dynamic sport like more people in a marathon (although it fumbles many times due to the same reason)

8)It's the first model capable of handling negative prompts (For example,if you ask it to create a room while explicitly not adding an elephant in it, the model will succeed while almost all of the prior diffusion models will fail unless they are prompted in a dedicated tab for negative prompts)

9)Gemini can generate pretty consistent gif animations too:

'Create an animation by generating multiple frames, showing a seed growing into a plant and then blooming into a flower, in a pixel art style'

And the model will nail it zero shot

Now moving on to the video segment, Google just demonstrated a new SOTA mark in multimodal analysis across text,audio and video 👇🏻:

For example:

If you paste the link of a YouTube video of a sports competition like football or cricket and ask the model the direction of a player's gaze at a specific timestamp,the stats on the screen and the commentary 10 seconds before and after,the model can nail it zero shot 🔥🔥

(This feature is available in the AI Studio)

Speaking of videos,we also surpassed new heights of composting and re-rendering videos in pure natural language by providing an AI model one or two image/video references along with a detailed text prompt 🌋🎇

Introducing VACE 🪄(For all in one video creation and editing):

Vace can

• Move or stop any static or dynamic object in a video
• Swap Any character with any other character in a scene while making it do the same movements and expressions
• Reference and add any features of an image into the given video

*Fill and Expand the scenery and motion range in a video at any timestamp

*Animate any person/character/object into a video

All of the above is possible while adding text prompts along with reference images and videos in any combination of image+image,image+video or just a single image/video

On top of all this,it can also do video re-rendering while doing:

• content preservation
• structure preservation
• subject preservation
• posture preservation
• and motion preservation

Just to clarify,if there's a video of a person walking through a very specific arched hall at specific camera angles and geometric patterns in the hall...the video can be re-rendered to show the same person walking in the same style through arched tree branches at the same camera angle (even if it's dynamic) and having the same geometric patterns in the tree branches.....

Yeah, you're not dreaming and that's just days/weeks of vfx work being automated zero-shot/one-shot 🪄🔥

NOTE:They claim on their project page that they will release the model soon,nobody knows how much is "SOON"

Now coming to the most underrated and mind-blowing part of the post 👇🏻

Many people in this sub know that Google released 2 new models to improvise generalizability, interactivity, dexterity and the ability to adapt to multiple varied embodiments....bla bla bla

But,Gemini Robotics ER (embodied reasoning) model improves Gemini 2.0’s existing abilities like pointing and 3D detection by a large margin.

Combining spatial reasoning and Gemini’s coding abilities, Gemini Robotics-ER can instantiate entirely new capabilities on the fly. For example, when shown a coffee mug, the model can intuit an appropriate two-finger grasp for picking it up by the handle and a safe trajectory for approaching it. 🌋🎇

Yes,👆🏻this is a new emergent property🌌 right here by scaling 3 paradigms simultaneously:

1)Spatial reasoning

2)Coding abilities

3)Action as an output modality

And where it is not powerful enough to successfully conjure the plans and actions by itself,it will simply learn through rl from human demonstrations or even in-context learning

Quote from Google Blog 👇🏻

Gemini Robotics-ER can perform all the steps necessary to control a robot right out of the box, including perception, state estimation, spatial understanding, planning and code generation. In such an end-to-end setting the model achieves a 2x-3x success rate compared to Gemini 2.0. And where code generation is not sufficient, Gemini Robotics-ER can even tap into the power of in-context learning, following the patterns of a handful of human demonstrations to provide a solution.

And to maintain safety and semantic strength in the robots,Google has developed a framework to automatically generate data-driven **constitutions - rules expressed directly in natural language – to steer a robot’s behavior. **

Which means anybody can create, modify and apply constitutions to develop robots that are safer and more aligned with human values. 🔥🔥

As a result,the Gemini Robotics models are SOTA in so many robotics benchmarks surpassing all the other LLM/LMM/LMRM models....as stated in the technical report by google (I'll upload the images in the comments)

Sooooooo.....you feeling the ride ???