#autonomous coding

[ndsinfo123]

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[soullessjack]

not only should any autistic character who’s ever been infantilized by their fanbase kill and maim more people, but they should also fuck as nasty as possible too. as a treat

[anistarrose]

Trying to bully my brother out of using AI for math homework when there's at least, like, perfectly good online calculators that he could use instead if he wanted a cheap but reliable way out, but then I remembered he went to a career fair last year where he got told by A Person With A Job In The Industry that he should be using ChatGPT to write more code, so like. I think I might not be able to convince him on this one, and also might just stop trusting any technology designed since 2023 to do anything correctly or safely ever

[statementlou]

So I see folks pointing out that Louis' circle A tattoo is more likely an aesthetic choice than an announcement of a political commitment to anarchism, and saying basically that that maybe makes him a bit of a poser and I mean- I GUESS. But I don't like to look at things that way and I don't think it's useful. As I see it the subversive sexiness of the symbols of resistance have ALWAYS been gateways for people who are drawn to the struggle in vague ways and that's GOOD. Aligning yourself with those values is good no matter the reason, in my book, especially given the wretched options available out there, but also the journey doesn't necessarily stop there. Gatekeeping queerness victimizes people who are just trying things out and starting to discover that it may run deeper than just trying on a new look who should instead be welcomed and helped along their path, and I fail to see how gatekeeping political affiliations is any different (plus how counterproductive to actual movement building is that?)

ANYWAY. What I really want to say about Louis is that while I KNOW that Louis is probably not secretly a theory reading anti-state communalist anarchist, I think that actually Louis' optimism and idealism (and his unwavering commitment to allying himself with the working class and embracing those roots) are a perfect fit for the philosophy and always have been. I know that anarchism is mostly understood as being about throwing molotov cocktails and fighting the state (and the allure of its symbols are that they signify this, a terrific aesthetic for him to choose to sign on with in my book), but that's honestly largely cartoonish stereotyping that comes directly from anti-anarchist state propaganda. That resistance is necessary in this hellscape of oppression we live in and is super important, but in its heart anarchism is only about the state in that the state and capitalism currently stands in the way of its goals. The whole point of anarchism is that it's NOT about the state! It's about being able to imagine something better than a state, it's about how we live and about how we SHOULD live, it's about HOPE and picturing something utopian and something free of the ways capitalism pits us against one another! What could be more Louis than that?

"I need you and you need me and I love that" is as beautiful a way of talking about the cornerstone of anarchism that is mutual aid as any long winded essay I've read (even if what he meant was contextually different), and I think when he talks again and again about how special the space fans have made around him is he is expressing an intuitive understanding of the importance of autonomous zones, places and moments outside of the shitty life imposed on us by the system (also a huge part of anarchist thought). Maybe I'm just being an optimist but I think that Louis DOES understand that caring for people and wanting self-determination and freedom for all and allying himself with the working class involves a certain amount of resistance to and positioning yourself in opposition to the state. Thinking the symbols of smashing that state are cool isn't meaningless; it's a CHOICE. There are other cool symbols out there and I just happen to think that feeling a resonance with certain ones is something in and of itself, even if at this moment he does not choose to start a fight with the media about it all.

[jcmarchi]

Breaking the Scaling Code: How AI Models Are Redefining the Rules

New Post has been published on https://thedigitalinsider.com/breaking-the-scaling-code-how-ai-models-are-redefining-the-rules/

Breaking the Scaling Code: How AI Models Are Redefining the Rules

Artificial intelligence has taken remarkable strides in recent years. Models that once struggled with basic tasks now excel at solving math problems, generating code, and answering complex questions. Central to this progress is the concept of scaling laws—rules that explain how AI models improve as they grow, are trained on more data, or are powered by greater computational resources. For years, these laws served as a blueprint for developing better AI.

Recently, a new trend has emerged. Researchers are finding ways to achieve groundbreaking results without simply making models bigger. This shift is more than a technical evolution. It’s reshaping how AI is built, making it more efficient, accessible, and sustainable.

The Basics of Scaling Laws

Scaling laws are like a formula for AI improvement. They state that as you increase the size of a model, feed it more data, or give it access to more computational power, its performance improves. For example:

Model size: Larger models with more parameters can learn and represent more complex patterns. Parameters are the adjustable parts of a model that allow it to make predictions.

Data: Training on vast, diverse datasets helps models generalize better, enabling them to handle tasks they weren’t explicitly trained for.

Compute: More computational power allows faster and more efficient training, achieving higher performance.

This recipe has driven AI’s evolution for over a decade. Early neural networks like AlexNet and ResNet demonstrated how increasing model size could improve image recognition. Then came transformers where models like GPT-3 and Google’s BERT have showed that scaling could unlock entirely new capabilities, such as few-shot learning.

The Limits of Scaling

Despite its success, scaling has limits. As models grow, the improvements from adding more parameters diminish. This phenomenon, known as the “law of diminishing returns,” means that doubling a model’s size doesn’t double its performance. Instead, each increment delivers smaller gains. This means that to further push the performance of such models would require even more resources for relatively modest gains. This has real-world consequences. Building massive models comes with significant financial and environmental costs. Training large models is expensive. GPT-3 reportedly cost millions of dollars to train. These costs make cutting-edge AI inaccessible to smaller organizations. Training massive models consumes vast amounts of energy. A study estimated that training a single large model could emit as much carbon as five cars over their lifetimes.

Researchers recognized these challenges and began exploring alternatives. Instead of relying on brute force, they asked: How can we make AI smarter, not just bigger?

Breaking the Scaling Code

Recent breakthroughs show it’s possible to outperform traditional scaling laws. Smarter architectures, refined data strategies, and efficient training techniques are enabling AI to reach new heights without requiring massive resources.

Smarter Model Designs: Rather than making models larger, researchers are focusing on making them more efficient. Examples are:

Sparse models: Instead of activating all parameters at once, sparse models only use the parts needed for a specific task. This approach saves computational power while maintaining performance. A notable example is Mistral 7B, which, despite having only 7 billion parameters, outperforms much larger models by using a sparse architecture.

Transformer improvements: Transformers remain the backbone of modern AI, but their designs are evolving. Innovations like linear attention mechanisms make transformers faster and less resource-intensive.

Better Data Strategies: More data isn’t always better. Curated, high-quality datasets often outperform sheer volume. For example,

Focused datasets: Instead of training on massive, unfiltered data, researchers are using clean and relevant datasets. For instance, OpenAI has shifted toward carefully selected data to improve reliability.

Domain-specific training: In specialized areas like medicine or law, targeted datasets help models perform well with fewer examples.

Efficient Training Methods: New training techniques are reducing resource demands without sacrificing performance. Some examples of these training methods include:

Curriculum learning: By starting with simpler tasks and gradually introducing harder ones, models learn more effectively. This mirrors how humans learn.

Techniques like LoRA (Low-Rank Adaptation): These methods fine-tune models efficiently without retraining them entirely.

Gradient checkpointing: This approach reduces memory use during training, enabling larger models to run on limited hardware.

Emergent Abilities: As models grow, they sometimes display surprising capabilities, like solving problems they weren’t explicitly trained for. These emergent abilities challenge traditional scaling laws, as they often appear in larger models but not in their smaller counterparts. Researchers are now investigating ways to unlock these abilities more efficiently, without relying on brute-force scaling.

Hybrid Approaches for Smarter AI: Combining neural networks with symbolic reasoning is another promising direction. These hybrid systems combine pattern recognition with logical reasoning, making them more intelligent and adaptable. This approach reduces the need for massive datasets and compute power.

Real-World Examples

Several recent models showcase how these advancements are rewriting the rules:

GPT-4o Mini: The model delivers performance comparable to its much larger version but at a fraction of the cost and resources. It achieves these results with the help of smarter training techniques and focused datasets.

Mistral 7B: With only 7 billion parameters, this model outperforms models with tens of billions. Its sparse architecture proves that smart design can surpass raw size.

Claude 3.5: Prioritizing safety and ethical considerations, this model balances strong performance with thoughtful resource use.

The Impact of Breaking Scaling Laws

These advancements have real-world implications.

Making AI More Accessible: Efficient designs lower the cost of developing and deploying AI. Open-source models like Llama 3.1 are making advanced AI tools available to smaller companies and researchers.

A Greener Future: Optimized models reduce energy consumption, making AI development more sustainable. This shift is critical as concerns about AI’s environmental footprint grow.

Expanding AI’s Reach: Smaller, more efficient models can run on everyday devices, like smartphones and IoT gadgets. This opens new possibilities for applications, from real-time language translation to autonomous systems in cars.

The Bottom Line

Scaling laws have shaped AI’s past, but they no longer define its future. Smarter architectures, better data handling, and efficient training methods are breaking the rules of traditional scaling. These innovations are making AI not just more powerful, but also more practical and sustainable.

The focus has shifted from brute-force growth to intelligent design. This new era promises AI that’s accessible to more people, environmentally friendly, and capable of solving problems in ways we’re just beginning to imagine. The scaling code isn’t just being broken—it’s being rewritten.

[would-they-be-good-at-asmr]

[russianreader]

Punitive Psychiatry for a Dissident Janitor in Northern Russia: The Case of Igor Yakunichev

Igor Yakunichev Five criminal cases have been launched against Igor Yakunichev, a resident of the Yamalo-Nenets Autonomous District. In addition to three cases on charges of “disseminating fake news” about the Russian army and “condoning terrorism,” the security services added two more cases on the same charges. On 1 April, Yakunichev, who started the YouTube channel Infinity Is Not the Limit…

[thedevmaster-tdm]

STOP Using Fake Human Faces in AI

[victorluvsalice]

-->To Moonwood Mill! Yeah, I was thinking that I hadn’t been there for a while, and it might be nice to go and visit again and let Alice work on some werewolf stuff. :) They of course started their grand day out at the local library/gym, where they all grabbed a nice werewolf-related book to read for starters (and Coty got a little weak at the knees looking at Smiler. XD Apparently that high reputation is making them VERY attractive!). Having fulfilled THAT want, Victor then got sent out to the observatory to look at the sky for a little while; Smiler hopped on the computer to play games; and Alice –

-->Well, Alice just couldn’t seem to decide on what she wanted to read, as she kept grabbing new books, getting a few pages in, then putting them away and getting more. XD I’ve had days like that, girl. I managed to stop the vicious cycle and instead had her, Smiler, and Victor hit the gym for a while for a little working out – after all, Alice enjoys keeping fit, and it was a good opportunity to work on that skill too! She ran on the treadmill (taking a little spill when she tried to start a hill challenge a bit too soon) while Smiler did some boxing and some lifting, and Victor struggled his way through a session on the weight machine. I did my best to boost them up by adding the “Bracing Breezes” lot trait to the place (along with “Peace & Quiet” and “Study Spot” to reflect the fact that, well, it IS primarily a library), but I don't know how much difference it made this particular session. Victor and Smiler eventually got tired and wandered off to do other things – I let Victor rest with a good book while Smiler got put on “filling the local pet bowls” duty – and eventually I stopped Alice’s run as I could see she was getting hungry. The problem was, I could also see Victor was getting hungry – and while Alice could easily transform and hunt for food, Victor was kind of dependent on getting something someone had COOKED. I thus started looking around for a barbecue or something in the immediate area –

-->And then looked at the bar just across the street, went “you know what, those serve food”, and had them swap lots right after Alice had swapped into her beast form! *thumbs up* I sent her out to hunt while Victor and Smiler hit the bar (and I hit the lot traits in Build/Buy to add “Great Acoustics,” “Convivial,” and “Party Place” to give it the right vibes). Victor ended up ordering a Blue Steak and a Wrench, while Smiler got their typical Plasma Jane, and they ended up chatting with the other two Sims hanging out at the bar – Akshara and Camille. Everyone was having a very good time –

-->And then Camille pressed her fingers against her forehead and Victor ended up getting brain-zapped! Guess who is an alien in disguise! O.O And guess who did that autonomous “memory-erasing” thing I hate so much. >( Fortunately all it did was make Victor forget the little relationship he’d built up with her – if she’d affected Victor’s memories of his actual partners, I might have just killed her.

-->And then, right before Alice returned from her hunt, a completely naked J. Huntington III showed up. For no reason. And when I say “completely naked,” I mean that – he didn’t even have the censor on for some reason! I’m not sure what disabled it, but there was a lot of naked man-butt in front of the bar. The local Sims were appropriately “what the everloving fuck, dude.” XD Even Alice, who was a little distracted by the scent of freshly-"found" steak when she first arrived, found herself shocked by all the naked flesh on display after she'd eaten. Fortunately, Smiler managed to introduce themselves after a little confusion and get him to put on some cold-weather clothing. *shakehead* Sims, man. Dunno what to tell you.

[dbenjamin]

Discover the game-changing advantages of Autonomous Medical Coding in healthcare with our video on the "Top 5 Benefits." Explore how it streamlines automated medical claims processing, revolutionizes end-to-end RCM solutions, and optimizes revenue cycle management services. Witness how autonomous coding transforms healthcare efficiency, accuracy, and financial success, shaping the future of healthcare operations.

[ventique18]

IDIA MADE AN AMV TO EXPLAIN HIS PLAN TO YUU AND FRIENDS IU'M FUCKING DYING

HE EVEN HAS A GOD DAMN NARRATION OMFG

"Ahh~ Only good things are happening lately~ As if we're in a dream~"

"Eh. It's actually just a dream tho."

"Hello everyone trapped in this empty world of dreams."

"This is Idia Shroud."

"So today, I will explain the strategy to beat:

"I BUILT A DREAM WORLD USING CHEAT-LEVEL MAGIC AS THE MOST EVIL LAST BOSS MAGE MALLEUS DRACONIA"

"The magical domain that Malleus created is similar to a server running a huge MMORPG."

"That means everyone's dreams are ran individually. Malleus and his clones are keeping an eye on the server."

"In other words, Malleus is the server admin."

"And his clones crack down on users who commit violations like in online games."

"Malleus is the game master who has the authority to manage the entire server."

"HE REALLY IS A DEMON LORD WHO RULES THE WORLD"

"Under his control, we have no chance of winning..."

"HOWEVER..!"

"With the super geek hacker group STYX using ORTHO ATTACK, the server source code has been analyzed."

"So using this, we're building cheating tools [WARNING: DO NOT DO THIS IN ACTUAL GAMES]"

"So using these cheating tools, the administrative rights to my dream can be transferred to me."

"Then I'll lure Malleus into my dream where I can get rid of that god damned invincibility!"

I CAN'T FUCKING TAKE THIS OH MY GOD

"-- Well, it sounds like a perfect strategy but... The truth is there's just a few things about this cheating tool..."

"WHAT IF THE SERVER ADMIN FINDS OUT ABOUT THIS DURING DEVELOPMENT?"

"THEN,"

"GAME OVER."

"BUT BUT BUT--"

"The thing is, even though he's using autonomous clones to monitor each dream, it still shouldn't be easy to control the dreams of 20000 PEOPLE in Sage island."

"If problems turn up everywhere, he'll have to deal with them all!"

"Sooooo..."

"While I'm developing the cheat tool, I want you all to distract Malleus!"

"I want you all to gather party members to defeat the Demon King!"

"Once everyone's awake, I'll send out invitations to my own dream."

"Then I'll lure Malleus into my dream... THEN TURN ON THE CHEAT TOOL! As planned, Malleus' invincibility will disappear,"

"Then everyone will accept the invitation and gather into my dream!"

"THEN EVERYONE BEATS HIM UP"

"Then Malleus will have to take down his magic AND EVERYONE WILL BE FREE!"

"If you liked this 3-minute video, don't forget to leave a like!"

I'M GONNA FUCKING CRY THIS IS INSANE OMFG KASDJLKLDASLMASD

[hjones-1011]

JK Tech, a next-generation Digital, and IT services provider, offers end-to-end innovative technology solutions for the healthcare and life sciences organizations enabling them to leverage AI/ML, analytics, and automation. This allows them to boost productivity & patient experience and leads to saving of operational costs. With Data Transformation at the core, JK Tech’s healthcare and life sciences solution is aligned with modern technology to help achieve efficiency in administrative tasks. The solution portfolio includes- reduction in claim denials, simplified integration between different parties, and digitization of manual processes. It also regulates compliance adherence, improves data access for patients and stakeholders, and consolidates individual medical records.

[jcmarchi]

The tenured engineers of 2024

New Post has been published on https://thedigitalinsider.com/the-tenured-engineers-of-2024/

The tenured engineers of 2024

In 2024, MIT granted tenure to 11 faculty members across the School of Engineering. This year’s tenured engineers hold appointments in the departments of Aeronautics and Astronautics, Chemical Engineering, Civil and Environmental Engineering, Electrical Engineering and Computer Science (EECS, which reports jointly to the School of Engineering and MIT Schwarzman College of Computing), Mechanical Engineering, and Nuclear Science and Engineering.

“My heartfelt congratulations to the 11 engineering faculty members on receiving tenure. These faculty have already made a lasting impact in the School of Engineering through both advances in their field and their dedication as educators and mentors,” says Anantha Chandrakasan, chief innovation and strategy officer, dean of engineering, and the Vannevar Bush Professor of Electrical Engineering and Computer Science.

This year’s newly tenured engineering faculty include:

Adam Belay, associate professor of computer science and principal investigator at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), works on operating systems, runtime systems, and distributed systems. He is particularly interested in developing practical methods for microsecond-scale computing and cloud resource management, with many applications relating to performance and computing efficiency within large data centers.

Irmgard Bischofberger, Class of 1942 Career Development Professor and associate professor of mechanical engineering, is an expert in the mechanisms of pattern formation and instabilities in complex fluids. Her research reveals new insights into classical understanding of instabilities and has wide relevance to physical systems and industrial processes. Further, she is dedicated to science communication and generates exquisite visualizations of complex fluidic phenomena from her research.

Matteo Bucci serves as the Esther and Harold E. Edgerton Associate Professor of nuclear science and engineering. His research group studies two-phase heat transfer mechanisms in nuclear reactors and space systems, develops high-resolution, nonintrusive diagnostics and surface engineering techniques to enhance two-phase heat transfer, and creates machine-learning tools to accelerate data analysis and conduct autonomous heat transfer experiments.

Luca Carlone, the Boeing Career Development Professor in Aeronautics and Astronautics, is head of the Sensing, Perception, Autonomy, and Robot Kinetics Laboratory and principal investigator at the Laboratory for Information and Decision Systems. His research focuses on the cutting edge of robotics and autonomous systems research, with a particular interest in designing certifiable perception algorithms for high-integrity autonomous systems and developing algorithms and systems for real-time 3D scene understanding on mobile robotics platforms operating in the real world.

Manya Ghobadi, associate professor of computer science and principal investigator at CSAIL, builds efficient network infrastructures that optimize resource use, energy consumption, and availability of large-scale systems. She is a leading expert in networks with reconfigurable physical layers, and many of the ideas she has helped develop are part of real-world systems.

Zachary (Zach) Hartwig serves as the Robert N. Noyce Career Development Professor in the Department of Nuclear Science and Engineering, with a co-appointment at MIT’s Plasma Science and Fusion Center. His current research focuses on the development of high-field superconducting magnet technologies for fusion energy and accelerated irradiation methods for fusion materials using ion beams. He is a co-founder of Commonwealth Fusion Systems, a private company commercializing fusion energy.

Admir Masic, associate professor of civil and environmental engineering, focuses on bridging the gap between ancient wisdom and modern material technologies. He applies his expertise in the fields of in situ and operando spectroscopic techniques to develop sustainable materials for construction, energy, and the environment.

Stefanie Mueller is the TIBCO Career Development Professor in the Department of EECS. Mueller has a joint appointment in the Department of Mechanical Engineering and is a principal investigator at CSAIL. She develops novel hardware and software systems that give objects new capabilities. Among other applications, her lab creates health sensing devices and electronic sensing devices for curved surfaces; embedded sensors; fabrication techniques that enable objects to be trackable via invisible marker; and objects with reprogrammable and interactive appearances.

Koroush Shirvan serves as the Atlantic Richfield Career Development Professor in Energy Studies in the Department of Nuclear Science and Engineering. He specializes in the development and assessment of advanced nuclear reactor technology. He is currently focused on accelerating innovations in nuclear fuels, reactor design, and small modular reactors to improve the sustainability of current and next-generation power plants. His approach combines multiple scales, physics and disciplines to realize innovative solutions in the highly regulated nuclear energy sector.

Julian Shun, associate professor of computer science and principal investigator at CSAIL, focuses on the theory and practice of parallel and high-performance computing. He is interested in designing algorithms that are efficient in both theory and practice, as well as high-level frameworks that make it easier for programmers to write efficient parallel code. His research has focused on designing solutions for graphs, spatial data, and dynamic problems.

Zachary P. Smith, Robert N. Noyce Career Development Professor and associate professor of chemical engineering, focuses on the molecular-level design, synthesis, and characterization of polymers and inorganic materials for applications in membrane-based separations, which is a promising aid for the energy industry and the environment, from dissolving olefins found in plastics or rubber, to capturing smokestack carbon dioxide emissions. He is a co-founder and chief scientist of Osmoses, a startup aiming to commercialize membrane technology for industrial gas separations.

[episims]

Myshuno Fixes

Now that we have a bingo default that makes its appearance more usable, I thought it would be nice to have the game function properly too 🙃

The main issue with the unmodded version of this object is: 1) it fills your sim's whole fun bar within an in-game hour 2) sims quit the game after reaching max fun

This basically means that full games never occur. Sims appear indecisive about using the object too as they still might join playing when their fun bar is close to max, only to quit almost instantly.

This mod fixes these problems and improves various other aspects of the Myshuno game:

Players don't need to sit facing the bingo console anymore*

The fun gain from playing the game is greatly lower, elders still gain more fun from playing but the increase is moderate

Sims will only quit mid-game for a pressing reason (usually due to other motives dropping or the interaction being canceled)

Players sitting in dining booths no longer cause errors

Players sitting on dining chairs next to tables no longer stop the game from progressing

The advertising of all interactions is lower

The 'practice' interaction is not autonomous anymore

The caller winning anim is revamped so that it doesn't clip with dresses and works better with PF's default

*Sims use a new custom routing for finding a place to play. Playing is possible from chairs, barstools, armchairs, sofas, and dining booths located in the same room as the bingo console and within 10 tiles from it. Sims will choose a free seat close to the console unless their personality is on the shyer end, in which case they look for free seats far away from the console. Sims will stand if no seating is available.

Download (SFS) (alternate)

The file is compressed. Free Time is required as the object gives gaming enthusiasm.

🚨 This mod doesn't work with Myshuno replacements that include custom BHAVs for it. PF's default (obviously) is compatible.

Update (22.12.2024): The tweaks in advertising now apply to non-adult age groups as well.

The preview is by @pforestsims. Thank you for testing, too! Honorable mention to MogHughson whose TV routing code helped me to figure out how to make my own.