#autonomous coding

[ndsinfo123]

Step into the future of streamlined operations with NDS InfoTech's Autonomous Coding Services. Our cutting-edge technology leverages artificial intelligence to automate and optimize the coding process, ensuring accuracy and efficiency in healthcare documentation. Trust NDS InfoTech to elevate your coding workflows, allowing healthcare providers to focus on delivering exceptional patient care while maximizing revenue potential.

[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.

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

[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.

[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…

[scorpiotrait]

Yukari got this cute sentiment about Neil 🥺

[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]

Autonomous Agents with AgentOps: Observability, Traceability, and Beyond for your AI Application

New Post has been published on https://thedigitalinsider.com/autonomous-agents-with-agentops-observability-traceability-and-beyond-for-your-ai-application/

Autonomous Agents with AgentOps: Observability, Traceability, and Beyond for your AI Application

The growth of autonomous agents by foundation models (FMs) like Large Language Models (LLMs) has reform how we solve complex, multi-step problems. These agents perform tasks ranging from customer support to software engineering, navigating intricate workflows that combine reasoning, tool use, and memory.

However, as these systems grow in capability and complexity, challenges in observability, reliability, and compliance emerge.

This is where AgentOps comes in; a concept modeled after DevOps and MLOps but tailored for managing the lifecycle of FM-based agents.

To provide a foundational understanding of AgentOps and its critical role in enabling observability and traceability for FM-based autonomous agents, I have drawn insights from the recent paper A Taxonomy of AgentOps for Enabling Observability of Foundation Model-Based Agents by Liming Dong, Qinghua Lu, and Liming Zhu. The paper offers a comprehensive exploration of AgentOps, highlighting its necessity in managing the lifecycle of autonomous agents—from creation and execution to evaluation and monitoring. The authors categorize traceable artifacts, propose key features for observability platforms, and address challenges like decision complexity and regulatory compliance.

While AgentOps (the tool) has gained significant traction as one of the leading tools for monitoring, debugging, and optimizing AI agents (like autogen, crew ai), this article focuses on the broader concept of AI Operations (Ops).

That said, AgentOps (the tool) offers developers insight into agent workflows with features like session replays, LLM cost tracking, and compliance monitoring. As one of the most popular Ops tools in AI,  later on the article we will go through its functionality with a tutorial.

What is AgentOps?

AgentOps refers to the end-to-end processes, tools, and frameworks required to design, deploy, monitor, and optimize FM-based autonomous agents in production. Its goals are:

Observability: Providing full visibility into the agent’s execution and decision-making processes.

Traceability: Capturing detailed artifacts across the agent’s lifecycle for debugging, optimization, and compliance.

Reliability: Ensuring consistent and trustworthy outputs through monitoring and robust workflows.

At its core, AgentOps extends beyond traditional MLOps by emphasizing iterative, multi-step workflows, tool integration, and adaptive memory, all while maintaining rigorous tracking and monitoring.

Key Challenges Addressed by AgentOps

1. Complexity of Agentic Systems

Autonomous agents process tasks across a vast action space, requiring decisions at every step. This complexity demands sophisticated planning and monitoring mechanisms.

2. Observability Requirements

High-stakes use cases—such as medical diagnosis or legal analysis—demand granular traceability. Compliance with regulations like the EU AI Act further underscores the need for robust observability frameworks.

3. Debugging and Optimization

Identifying errors in multi-step workflows or assessing intermediate outputs is challenging without detailed traces of the agent’s actions.

4. Scalability and Cost Management

Scaling agents for production requires monitoring metrics like latency, token usage, and operational costs to ensure efficiency without compromising quality.

Core Features of AgentOps Platforms

1. Agent Creation and Customization

Developers can configure agents using a registry of components:

Roles: Define responsibilities (e.g., researcher, planner).

Guardrails: Set constraints to ensure ethical and reliable behavior.

Toolkits: Enable integration with APIs, databases, or knowledge graphs.

Agents are built to interact with specific datasets, tools, and prompts while maintaining compliance with predefined rules.

2. Observability and Tracing

AgentOps captures detailed execution logs:

Traces: Record every step in the agent’s workflow, from LLM calls to tool usage.

Spans: Break down traces into granular steps, such as retrieval, embedding generation, or tool invocation.

Artifacts: Track intermediate outputs, memory states, and prompt templates to aid debugging.

Observability tools like Langfuse or Arize provide dashboards that visualize these traces, helping identify bottlenecks or errors.

3. Prompt Management

Prompt engineering plays an important role in forming agent behavior. Key features include:

Versioning: Track iterations of prompts for performance comparison.

Injection Detection: Identify malicious code or input errors within prompts.

Optimization: Techniques like Chain-of-Thought (CoT) or Tree-of-Thought improve reasoning capabilities.

4. Feedback Integration

Human feedback remains crucial for iterative improvements:

Explicit Feedback: Users rate outputs or provide comments.

Implicit Feedback: Metrics like time-on-task or click-through rates are analyzed to gauge effectiveness.

This feedback loop refines both the agent’s performance and the evaluation benchmarks used for testing.

5. Evaluation and Testing

AgentOps platforms facilitate rigorous testing across:

Benchmarks: Compare agent performance against industry standards.

Step-by-Step Evaluations: Assess intermediate steps in workflows to ensure correctness.

Trajectory Evaluation: Validate the decision-making path taken by the agent.

6. Memory and Knowledge Integration

Agents utilize short-term memory for context (e.g., conversation history) and long-term memory for storing insights from past tasks. This enables agents to adapt dynamically while maintaining coherence over time.

7. Monitoring and Metrics

Comprehensive monitoring tracks:

Latency: Measure response times for optimization.

Token Usage: Monitor resource consumption to control costs.

Quality Metrics: Evaluate relevance, accuracy, and toxicity.

These metrics are visualized across dimensions such as user sessions, prompts, and workflows, enabling real-time interventions.

The Taxonomy of Traceable Artifacts

The paper introduces a systematic taxonomy of artifacts that underpin AgentOps observability:

Agent Creation Artifacts: Metadata about roles, goals, and constraints.

Execution Artifacts: Logs of tool calls, subtask queues, and reasoning steps.

Evaluation Artifacts: Benchmarks, feedback loops, and scoring metrics.

Tracing Artifacts: Session IDs, trace IDs, and spans for granular monitoring.

This taxonomy ensures consistency and clarity across the agent lifecycle, making debugging and compliance more manageable.

AgentOps (tool) Walkthrough

This will guide you through setting up and using AgentOps to monitor and optimize your AI agents.

Step 1: Install the AgentOps SDK

Install AgentOps using your preferred Python package manager:

pip install agentops

Step 2: Initialize AgentOps

First, import AgentOps and initialize it using your API key. Store the API key in an .env file for security:

# Initialize AgentOps with API Key import agentops import os from dotenv import load_dotenv # Load environment variables load_dotenv() AGENTOPS_API_KEY = os.getenv("AGENTOPS_API_KEY") # Initialize the AgentOps client agentops.init(api_key=AGENTOPS_API_KEY, default_tags=["my-first-agent"])

This step sets up observability for all LLM interactions in your application.

Step 3: Record Actions with Decorators

You can instrument specific functions using the @record_action decorator, which tracks their parameters, execution time, and output. Here’s an example:

from agentops import record_action @record_action("custom-action-tracker") def is_prime(number): """Check if a number is prime.""" if number < 2: return False for i in range(2, int(number**0.5) + 1): if number % i == 0: return False return True

The function will now be logged in the AgentOps dashboard, providing metrics for execution time and input-output tracking.

Step 4: Track Named Agents

If you are using named agents, use the @track_agent decorator to tie all actions and events to specific agents.

from agentops import track_agent @track_agent(name="math-agent") class MathAgent: def __init__(self, name): self.name = name def factorial(self, n): """Calculate factorial recursively.""" return 1 if n == 0 else n * self.factorial(n - 1)

Any actions or LLM calls within this agent are now associated with the "math-agent" tag.

Step 5: Multi-Agent Support

For systems using multiple agents, you can track events across agents for better observability. Here’s an example:

@track_agent(name="qa-agent") class QAAgent: def generate_response(self, prompt): return f"Responding to: prompt" @track_agent(name="developer-agent") class DeveloperAgent: def generate_code(self, task_description): return f"# Code to perform: task_description" qa_agent = QAAgent() developer_agent = DeveloperAgent() response = qa_agent.generate_response("Explain observability in AI.") code = developer_agent.generate_code("calculate Fibonacci sequence")

Each call will appear in the AgentOps dashboard under its respective agent’s trace.

Step 6: End the Session

To signal the end of a session, use the end_session method. Optionally, include the session state (Success or Fail) and a reason.

# End of session agentops.end_session(state="Success", reason="Completed workflow")

This ensures all data is logged and accessible in the AgentOps dashboard.

Step 7: Visualize in AgentOps Dashboard

Visit AgentOps Dashboard to explore:

Session Replays: Step-by-step execution traces.

Analytics: LLM cost, token usage, and latency metrics.

Error Detection: Identify and debug failures or recursive loops.

Enhanced Example: Recursive Thought Detection

AgentOps also supports detecting recursive loops in agent workflows. Let’s extend the previous example with recursive detection: