#automatic speech recognition

[cogitotech]

AI Automatic Speech Recognition - ASR

Cogito Tech specializes in Automatic Speech Recognition (ASR) services, offering accurate speech-to-text transcription, speaker diarization, and sentiment analysis to enhance the training of advanced NLP and AI models.

[aefensteorrra]

Still really going through it mentally but found out I passed both of the exams I took for classes in the informatics department and cannot believe I did that

[precallai]

Integrating AI Call Transcription into Your VoIP or CRM System

In today’s hyper-connected business environment, customer communication is one of the most valuable assets a company possesses. Every sales call, support ticket, or service request contains rich data that can improve business processes—if captured and analyzed properly. This is where AI call transcription becomes a game changer. By converting voice conversations into searchable, structured text, businesses can unlock powerful insights. The real value, however, comes when these capabilities are integrated directly into VoIP and CRM systems, streamlining operations and enhancing customer experiences.

Why AI Call Transcription Matters

AI call transcription leverages advanced technologies such as Automatic Speech Recognition (ASR) and Natural Language Processing (NLP) to convert real-time or recorded voice conversations into text. These transcripts can then be used for:

Compliance and auditing

Agent performance evaluation

Customer sentiment analysis

CRM data enrichment

Automated note-taking

Keyword tracking and lead scoring

Traditionally, analyzing calls was a manual and time-consuming task. AI makes this process scalable and real-time.

Key Components of AI Call Transcription Systems

Before diving into integration, it’s essential to understand the key components of an AI transcription pipeline:

Speech-to-Text Engine (ASR): Converts audio to raw text.

Speaker Diarization: Identifies and separates different speakers.

Timestamping: Tags text with time information for playback syncing.

Language Modeling: Uses NLP to enhance context, punctuation, and accuracy.

Post-processing Modules: Cleans up the transcript for readability.

APIs/SDKs: Interface for integration with external systems like CRMs or VoIP platforms.

Common Use Cases for VoIP + CRM + AI Transcription

The integration of AI transcription with VoIP and CRM platforms opens up a wide range of operational enhancements:

Sales teams: Automatically log conversations, extract deal-related data, and trigger follow-up tasks.

Customer support: Analyze tone, keywords, and escalation patterns for better agent training.

Compliance teams: Use searchable transcripts to verify adherence to legal and regulatory requirements.

Marketing teams: Mine conversation data for campaign insights, objections, and buying signals.

Step-by-Step: Integrating AI Call Transcription into VoIP Systems

Step 1: Capture the Audio Stream

Most modern VoIP systems like Twilio, RingCentral, Zoom Phone, or Aircall provide APIs or webhooks that allow you to:

Record calls in real time

Access audio streams post-call

Configure cloud storage for call files (MP3, WAV)

Ensure that you're adhering to legal and privacy regulations such as GDPR or HIPAA when capturing and storing call data.

Step 2: Choose an AI Transcription Provider

Several commercial and open-source options exist, including:

Google Speech-to-Text

AWS Transcribe

Microsoft Azure Speech

AssemblyAI

Deepgram

Whisper by OpenAI (open-source)

When selecting a provider, evaluate:

Language support

Real-time vs. batch processing capabilities

Accuracy in noisy environments

Speaker diarization support

API response latency

Security/compliance features

Step 3: Transcribe the Audio

Using the API of your chosen ASR provider, submit the call recording. Many platforms allow streaming input for real-time use cases, or you can upload an audio file for asynchronous transcription.

Here’s a basic flow using an API:

python

CopyEdit

import requests

response = requests.post(

    "https://api.transcriptionprovider.com/v1/transcribe",

    headers={"Authorization": "Bearer YOUR_API_KEY"},

    json={"audio_url": "https://storage.yourvoip.com/call123.wav"}

)

transcript = response.json()

The returned transcript typically includes speaker turns, timestamps, and a confidence score.

Step-by-Step: Integrating Transcription with CRM Systems

Once you’ve obtained the transcription, you can inject it into your CRM platform (e.g., Salesforce, HubSpot, Zoho, GoHighLevel) using their APIs.

Step 4: Map Transcripts to CRM Records

You’ll need to determine where and how transcripts should appear in your CRM:

Contact record timeline

Activity or task notes

Custom transcription field

Opportunity or deal notes

For example, in HubSpot:

python

CopyEdit

requests.post(

    "https://api.hubapi.com/engagements/v1/engagements",

    headers={"Authorization": "Bearer YOUR_HUBSPOT_TOKEN"},

    json={

        "engagement": {"active": True, "type": "NOTE"},

        "associations": {"contactIds": [contact_id]},

        "metadata": {"body": transcript_text}

    }

)

Step 5: Automate Trigger-Based Actions

You can automate workflows based on keywords or intent in the transcript, such as:

Create follow-up tasks if "schedule demo" is mentioned

Alert a manager if "cancel account" is detected

Move deal stage if certain intent phrases are spoken

This is where NLP tagging or intent classification models can add value.

Advanced Features and Enhancements

1. Sentiment Analysis

Apply sentiment models to gauge caller mood and flag negative experiences for review.

2. Custom Vocabulary

Teach the transcription engine brand-specific terms, product names, or industry jargon for better accuracy.

3. Voice Biometrics

Authenticate speakers based on voiceprints for added security.

4. Real-Time Transcription

Show live captions during calls or video meetings for accessibility and note-taking.

Challenges to Consider

Privacy & Consent: Ensure callers are aware that calls are recorded and transcribed.

Data Storage: Securely store transcripts, especially when handling sensitive data.

Accuracy Limitations: Background noise, accents, or low-quality audio can degrade results.

System Compatibility: Some CRMs may require custom middleware or third-party plugins for integration.

Tools That Make It Easy

Zapier/Integromat: For non-developers to connect transcription services with CRMs.

Webhooks: Trigger events based on call status or new transcriptions.

CRM Plugins: Some platforms offer native transcription integrations.

Final Thoughts

Integrating AI call transcription into your VoIP and CRM systems can significantly boost your team’s productivity, improve customer relationships, and offer new layers of business intelligence. As the technology matures and becomes more accessible, now is the right time to embrace it.

With the right strategy and tools in place, what used to be fleeting conversations can now become a core part of your data-driven decision-making process.

[the-latest-research]

Speech and Voice Recognition Market to be Worth $56.07 Billion by 2030

Meticulous Research®—leading global market research company, published a research report titled, ‘Speech and Voice Recognition Market by Function (Speech, Voice Recognition), Technology (AI and Non-AI), Deployment Mode (Cloud, On-premise), End User (Consumer Electronics, Automotive, BFSI, Other End Users), and Geography - Global Forecast to 2030.’

Speech Recognition Market Booming with AI and Growing Applications

The speech recognition market is poised for significant growth, reaching an estimated $56.07 billion by 2030 at a CAGR of 19.1%, acoording to Meticulous Research®. This surge is fueled by several key trends:

Voice Biometrics on the Rise: Security systems and financial applications are increasingly adopting voice biometrics for user authentication, offering a convenient and secure solution.

Voice Assistants Take Center Stage: Virtual assistants powered by AI are transforming how we interact with technology in homes, cars, and workplaces.

Smart Devices Drive Demand: The proliferation of voice-enabled smart speakers, wearables, and appliances is creating a strong demand for accurate speech recognition technology.

Download Sample Report Here @ https://www.meticulousresearch.com/download-sample-report/cp_id=5038

Challenges and Opportunities in Speech Recognition

Despite its growth potential, the market faces some hurdles:

Accent and Dialect Hurdles: Current systems may struggle with regional variations in speech patterns, requiring ongoing development for wider adoption.

Background Noise Interference: Speech recognition accuracy can be hampered by ambient noise, demanding improvements in noise cancellation techniques.

However, exciting opportunities lie ahead:

AI Integration Enhances Functionality: The integration of Artificial Intelligence and Machine Learning is continuously improving speech recognition accuracy and functionality.

Multilingual Communication: Speech recognition is poised to play a vital role in bridging language barriers by facilitating translation of rare and local languages.

Voice Authentication Gains Traction: The growing demand for secure mobile banking and other applications is driving the adoption of voice authentication technologies.

Market Segmentation Highlights

The report also explores various segments within the speech recognition market:

Function: Speech recognition (converting speech to text) holds the dominant market share due to the widespread use of AI and smart devices.

Technology: AI-powered speech recognition is leading the way due to its effectiveness in powering virtual assistants and other intelligent applications.

Deployment Mode: Cloud-based deployments are gaining traction due to their scalability, affordability, and ease of use, particularly for small and medium businesses.

End User: The IT and telecommunications sector currently holds the largest share, but the consumer electronics segment is expected to witness the fastest growth due to the rising popularity of voice-enabled devices.

Geography: North America dominates the market due to the presence of major technology players and a strong focus on improving customer service experiences.

By understanding these trends and segmentation, businesses can capitalize on the immense potential of the speech recognition market.

Key Players:

Some of the key players operating in the speech and voice recognition market are Microsoft Corporation (U.S.), Amazon Web Services, Inc. (U.S.), Google LLC (U.S.), IBM Corporation (U.S.), Verint Systems Inc. (U.S.), Baidu, Inc. (China), Apple Inc. (U.S.), Speechmatics (U.K.), Sensory, Inc. (U.S.), AssemblyAI, Inc. (U.S.), iFLYTEK Co., Ltd. (China), LumenVox (U.S.), SESTEK (Turkey), and Dolbey Systems, Inc. (U.S.).Contact Us: Meticulous Research® Email- sales@meticulousresearch.com Contact Sales- +1-646-781-8004 Connect with us on LinkedIn- https://www.linkedin.com/company/meticulous-research

[marvelsmostwanted]

Per Wired:

In an email sent to customers today, Amazon said that Echo users will no longer be able to set their devices to process Alexa requests locally and, therefore, avoid sending voice recordings to Amazon’s cloud. Amazon apparently sent the email to users with “Do Not Send Voice Recordings” enabled on their Echo. Starting on March 28, recordings of every command spoken to the Alexa living in Echo speakers and smart displays will automatically be sent to Amazon and processed in the cloud.

Attempting to rationalize the change, Amazon’s email said: “As we continue to expand Alexa’s capabilities with generative AI features that rely on the processing power of Amazon’s secure cloud, we have decided to no longer support this feature.”

(…) Amazon has previously mismanaged Alexa voice recordings. In 2023, Amazon agreed to pay $25 million in civil penalties over the revelation that it stored recordings of children’s interactions with Alexa forever. Adults also didn’t feel properly informed of Amazon’s inclination to keep Alexa recordings unless prompted not to until 2019—five years after the first Echo came out.

If that's not enough to deter you from sharing voice recordings with Amazon, note that the company allowed employees to listen to Alexa voice recordings. In 2019, Bloomberg reported that Amazon employees listened to as many as 1,000 audio samples during their nine-hour shifts. Amazon says it allows employees to listen to Alexa voice recordings to train its speech recognition and natural language understanding systems.

Other reasons people may be hesitant to trust Amazon with personal voice samples include the previous usage of Alexa voice recordings in criminal trials and Amazon paying a settlement in 2023 in relation to allegations that it allowed “thousands of employees and contractors to watch video recordings of customers' private spaces” taken from Ring cameras, per the Federal Trade Commission.

So it’s not paranoid to say that Alexa is listening to you.

I don’t have any of these devices but I’d throw them out if you do. Find a lower tech version from a different company. This goes far beyond AI stealing data - it’s stealing directly from your personal life and recording your conversations.

[official-linguistics-post]

New open-access article from Georgia Zellou and Nicole Holliday: "Linguistic analysis of human-computer interaction" in Frontiers in Computer Science (Human-Media Interaction).

This article reviews recent literature investigating speech variation in production and comprehension during spoken language communication between humans and devices. Human speech patterns toward voice-AI presents a test to our scientific understanding about speech communication and language use. First, work exploring how human-AI interactions are similar to, or different from, human-human interactions in the realm of speech variation is reviewed. In particular, we focus on studies examining how users adapt their speech when resolving linguistic misunderstandings by computers and when accommodating their speech toward devices. Next, we consider work that investigates how top-down factors in the interaction can influence users’ linguistic interpretations of speech produced by technological agents and how the ways in which speech is generated (via text-to-speech synthesis, TTS) and recognized (using automatic speech recognition technology, ASR) has an effect on communication. Throughout this review, we aim to bridge both HCI frameworks and theoretical linguistic models accounting for variation in human speech. We also highlight findings in this growing area that can provide insight to the cognitive and social representations underlying linguistic communication more broadly. Additionally, we touch on the implications of this line of work for addressing major societal issues in speech technology.

[jayjj7]

chapter 28. dinner

prev. | next | masterlist

even though you knew this was coming, walking into your boss’ office is nerve wracking. danielle is already in his office, sitting on a spare chair, turning her head upon seeing you walk in. you shoot her a small smile and stand behind danielle to give ryo and tae some space to walk into the office.

your hands are resting on danielle’s shoulders, gently rubbing against her doctors coat. she brings up a hand to hold yours, rubbing her thumb against each individual digit of your yours.

nervousness was an understatement, you were scared shit-less about losing your job. it wasn’t that you disliked your job, you loved it in fact, it was just the conditions that made you dread clocking in every day.

“it has been brought to my attention that i have been giving my employees…” your boss motions his hands forward to put an emphasis on everyone in the room.

“an unfair imbalance of pay and recognition” he looks down at his desk, fixing his name plate so it’s straighter than before.

ryo automatically furrows his eyebrows in frustration, expecting something huge in return. tae on the other hand, keeps a composed demeanor while staring at your boss.

“which is why i will make sure everyone is payed the same starting today, i will also be paying for your guys’ dinner” you could tell your boss had no intention on ever doing so. the light, subtle sweat on his forehead only puts you in a bad mood.

“thank you sir” ryo reaches his hand out to shake the boss’ while smiling and laughing hysterically.

danielle sighs before dropping her phone down on the table, clearly annoyed and angry. she stands up and takes a hold of minji’s arm to pull her behind where danielle was headed. they make their way to the bathroom without any discussion, minji’s facial expression declared indifference, it was like she knew this was coming.

“minji what are you doing?” danielle crosses her arms across her chest, holding eye contact with minji after entering the bathroom.

“i’m not doing anything” minji holds her hands up as if she was surrendering.

“what is your problem with y/n? i already told you we solved everything!” danielle leans closer to minji out of frustration, trying to make a point.

“okay so what if that happens again dani? huh? she lashes out on you again over something you can’t control, then what?” minji speaks louder in hopes of knocking some sense into danielle.

“there was a reason why she was mad okay? she apologized and that was it! you don’t have to look out for me this much! you are crossing the line!” danielle swings her arms as she talks, out of breath by the time she’s finished speaking.

“dani, why do you keep giving her excuses? because if this was anyone else, you would not be this nice or forgiving!” minji shakes her head as she talks.

danielle always had a response for everything she was told, whether that was an answer to a question, a suggestion, or in this case: a witty remark. but this time was different, danielle was silent, unable to respond to minji. this caused for minji to continue asking questions.

“why are you taking care of her? because she looks fine to me!” she laughs. “is she even paying rent?” “ why do you always hide her from us?” minji talks faster.

“i mean you practically live with the girl and still i know nothing about her?” she rests her hands on her hips.

“because i like y/n!” danielle shouts, shutting minji up and causing her to leave her mouth agape.

“i like y/n! i’m giving her the benefit of the doubt for being immature not only because she’s sick, but because i like her!” danielle rubs her temple.

“she’s living with me because the doctors said i should look after her for a week or two and i like taking care of her! i called her my wife and i like the thought of it! okay minji? is that what you wanted?” danielle is stressed out, she looks drained after her speech.

after a moment of silence, minji speaks:

“you can’t date her”

taglist : [ @modanisgf @greenniee @milfcr @idkwhatim-doinghere101 @urwyf3 @flolio @imahallucination11 @pandafuriosa60 @kaypanaq @nnewjeansstuff @haerinkisser @brocoliisscared @starrynini05 @l-e-e-woso @kimminjiswife @herlv3r @linnnsworld @multiliker @jisooftme @beanwtf1 @trovao-penguins ] taglist is open !! comment to be added !

[wuxiaphoenix]

Worldbuilding: Outliving Emperors

There’s a common tendency in a lot of fantastic fiction portraying long-lived races or individuals interacting with shorter-lived types. It often defaults to, “they have a mindset of slow and patient consideration in the face of Problems. After all, they have plenty of time.”

(Until, of course, they don’t, and the Evil Overlord obliterates lots or possibly all of them.)

It’s a valid way to portray a fantasy race, I guess. But I think it misses a critical consideration of sapient life. And that’s pattern recognition.

To boil it down - if you’ve lived a long time, and you pay attention to what’s going on around you, sooner or later you will recognize when things are about to go nastily sideways. The river-folk down there and the mountain-folk up there have had a new generation grow up without bloodshed; sooner or later some young buck out to make a name for himself is going to dig up the old feuds all over again. Or, we’ve had three years of bad harvests in a row, I bet the nomads think we’re weak now, let’s watch for raids. Or (and much worse), this guy is making speeches about a Glorious Past and Restoring the Nation to its Rightful Place in World Affairs... right, time to duck, world war incoming.

If you’ve had time, you’ve seen things happen. If you’ve had enough time, and survived it, and even a little breather afterward, you can sift back through the history leading up to When All The Maps Got Arrowy, and try to see what set the whole mess off. So if you see similar precursors go off again....

Slow and patient consideration might not actually be your preferred plan. Instead, you might opt for, find the bastards and shut them down, fast.

Someone slaps you? Walk out now, no matter what anyone else thinks. Squatters on your land? Find them and toss them out on their ears so hard they bounce. Sabers rattled your direction? Make it absolutely clear there will be heavy weapons firing back - as soon as fired on, not “two years later after we’ve deliberated it to death”.

Because if you’ve lived for a while, and you anticipate living a lot longer - think about it. “I’ll be a slave for a decade, then die,” is bad. “I’ll be a slave for a century, and that’s only if they let me die-”

Yeah. That’s worse.

With a long lifespan, the number of Bad Things that can happen to you automatically increases, just by virtue of your being alive to have them happen. Why would you want to give any avoidable Bad Thing a chance to happen?

 Wouldn’t it be possible that an elf, cultivator, dragon, or other creature who might live centuries, might actually be quicker to act than regular humans?

I have found this in one fantasy setting. In Lejentia, by Flying Buffalo Games, the Aelvan Nations finally beat down and imprisoned the Hyl Sudiar (Hellish Seducer) and the demon who possessed him, and breathed a sigh of relief. Some centuries later, said demon persuaded another person to become the next Hyl Sudiar... and the Aelvan Nations declared war immediately.

Human kingdoms: “Whyfor you do that?”

Human kingdoms a few centuries later, after despite all efforts the Hyl Sudiar’s armies have conquered half the world: “...Oh.”

I have to think about this, given I have a story that has at least one nearly three-hundred-years-old vampire, and a somewhat younger cultivator who has still outlived three emperors and is working on a fourth. (Zhengle, Jiajing, Longqing, and Wanli, if you’re interested.) They’ve seen threats to their people. They know, over and over again, what it is to lose people to the actions of evil men. What it is to live on, while those you love die, and it never stops hurting....

Long life might not mean slow and deliberate action. Just a thought.

[jcmarchi]

Combating Clinician Burnout with AI: A 2025 Vision for Smarter Healthcare Workflows

New Post has been published on https://thedigitalinsider.com/combating-clinician-burnout-with-ai-a-2025-vision-for-smarter-healthcare-workflows/

Combating Clinician Burnout with AI: A 2025 Vision for Smarter Healthcare Workflows

The healthcare landscape as we knew it, like several other industries, has been fundamentally transformed by artificial intelligence over the past couple of years. While many debate the benefits and drawbacks of this change – the technology has been particularly effective in addressing one of medicine’s most persistent challenges: clinician burnout.

As we witness this new era unfold, the integration of Voice AI and associated technologies like ambient clinical intelligence – our focus at Augnito as well – is proving to be revolutionary in restoring the human element of care, while enhancing efficiency and accuracy in clinical administration, documentation, and other drivers of burnout.

The Burnout Crisis: Where We Stand in 2025

The burnout epidemic among healthcare professionals remains a critical concern, though recent data shows promising improvements. According to the latest surveys, nearly half of U.S. physicians still experience some form of burnout, despite modest improvements over the past year. This crisis has been exacerbated by overwhelming administrative burdens, with physicians spending between 34–55% of their workday compiling clinical documentation and reviewing electronic medical records (EMRs). The consequences extend beyond clinician wellbeing to impact patient care quality, healthcare costs, and workforce retention.

The financial implications are staggering too – physician burnout costs healthcare systems approximately $4.6 billion annually in turnover expenses alone. More concerning is the American Medical Association’s projection of a shortage of between 17,800-48,000 primary care physicians by 2034, partially attributed to burnout-related attrition. These statistics highlight the urgent need for innovative solutions that address the root causes of clinician stress.

What’s particularly troubling amidst all of this is the disproportionate allocation of physicians’ time. For every hour dedicated to patient care, clinicians typically spend nearly twice that amount on electronic documentation and computer-based tasks. This imbalance fundamentally undermines the physician-patient relationship and diminishes the satisfaction that clinicians derive from their practice.

AI’s Rapid Evolution: From Transcription to Intelligent Assistance

The journey from traditional medical transcription to today’s sophisticated AI assistants represents one of healthcare’s most significant technological leaps. My own professional path mirrors this evolution. When I founded Scribetech at 19, providing transcription services to the NHS, I witnessed firsthand how documentation burdens were consuming clinicians’ time and energy. Those experiences shaped my vision for Augnito – moving beyond mere transcription to create intelligent systems that truly understand clinical context.

The Voice AI solutions we’ve developed combine automatic speech recognition (ASR), natural language processing (NLP), and generative AI to transform how clinicians document care. Unlike early transcription services or basic speech recognition, today’s clinical Voice AI understands medical terminology, recognizes context, and integrates seamlessly with existing workflows.

The technical advancements have been remarkable. Now we’re seeing AI systems that not only transcribe with over 99% accuracy straight out of the box but also understand the nuanced language of medicine across specialties. These systems can distinguish between similar-sounding terms, adapt to different accents and speaking styles, and even identify potential documentation gaps or inconsistencies.

The 2025 AI Toolkit for Combating Burnout

Healthcare organizations now have access to a sophisticated array of AI tools specifically designed to address burnout-inducing administrative burdens. Let’s examine the most impactful applications transforming clinical workflows today:

Ambient Clinical Intelligence:

Ambient systems represent perhaps the most significant breakthrough for reducing documentation burden. These AI assistants passively listen to clinician-patient conversations, automatically generating structured clinical notes in real-time. The technology has matured significantly, with recent implementations demonstrating remarkable outcomes. Organizations implementing ambient AI systems have reported burnout reductions of up to 30% among participating clinicians.

Beyond basic transcription, these systems now intelligently organize information into appropriate sections of the medical record, highlight key clinical findings, and even suggest potential diagnoses or treatment options based on the conversation content. This allows physicians to focus entirely on the patient during encounters, rather than splitting attention between the patient and documentation.

Automated Workflow Optimization:

AI is increasingly taking on complex clinical workflow tasks beyond documentation. Modern systems can now:

Automate referral management, reducing delays and improving patient flow

Pre-populate routine documentation elements

Identify and address care gaps through intelligent analysis of patient records

Streamline insurance authorizations and billing processes

Provide real-time clinical decision support based on patient-specific data

The impact of these capabilities is substantial. Healthcare organizations implementing comprehensive AI workflow solutions have reported productivity increases exceeding 40% in some environments. At Apollo Hospitals, where Augnito’s solutions were deployed, doctors saved an average of 44 hours monthly while increasing overall productivity by 46% and generating a staggering ROI of 21X, within just six months of implementation.

Pre-Visit Preparation & Post-Visit Documentation:

The clinical visit itself represents only part of the documentation burden. AI is now addressing the entire patient journey by:

Creating customized pre-visit summaries that highlight relevant patient history

Automatically ordering routine tests based on visit type and patient history

Generating post-visit documentation including discharge instructions

Providing follow-up reminders and care plan adherence monitoring

These capabilities significantly reduce cognitive load for clinicians, allowing them to focus mental energy on clinical decision-making rather than administrative tasks. Recent studies show a 61% reduction in cognitive load at organizations implementing comprehensive AI documentation solutions.

The Rise of the “Superclinician”

Excitingly, we are also witnessing the emergence of what I call the “superclinician” – healthcare professionals whose capabilities are significantly enhanced by AI assistants. These AI-empowered clinicians demonstrate greater diagnostic accuracy, enhanced efficiency, reduced stress levels, and improved patient relationships.

Importantly, the goal as we see it, is not to replace clinical judgment but to augment it. By handling routine documentation and administrative tasks, AI frees clinicians to focus on the aspects of care that require human expertise, empathy, and intuition. This synergy between human and artificial intelligence represents the ideal balance – technology handling repetitive tasks while clinicians apply their uniquely human skills to patient care.

Interestingly, the 2025 Physician Sentiment Survey revealed a nearly 10% decrease in burnout levels compared to 2024, with significantly fewer physicians considering leaving the profession. Respondents specifically cited AI assistance with administrative tasks as a key factor in their improved job satisfaction and rekindled passion for medicine.

Implementation Challenges & Ethical Considerations

Despite the promising advances, implementing AI in healthcare workflows presents significant challenges. Healthcare organizations must navigate:

Integration with existing systems: Ensuring AI solutions work seamlessly with current EHR platforms and clinical workflows

Training requirements: Providing adequate education for clinicians to effectively utilize new technologies

Privacy and security concerns: Maintaining robust protections for sensitive patient data

Bias mitigation: Ensuring AI systems don’t perpetuate or amplify existing biases in healthcare

Appropriate oversight: Maintaining the right balance of automation and human supervision

The most successful implementations have been those that involve clinicians from the beginning, designing workflows that complement rather than disrupt existing practices. Organizations that view AI implementation as a cultural transformation rather than merely a technology deployment have achieved the most sustainable results.

Ethical considerations remain paramount. As AI systems become increasingly autonomous, questions about accountability, transparency, and the appropriate division of responsibilities between humans and machines require thoughtful consideration. The healthcare community continues to develop frameworks that ensure these powerful tools enhance rather than diminish the quality and humanity of care.

A Vision for 2025 and Beyond

Looking ahead, I envision a healthcare ecosystem where AI serves as an invisible but indispensable partner to clinicians throughout their workday. Key elements of this vision include:

Complete Workflow Integration

Rather than point solutions addressing individual tasks, truly transformative AI will seamlessly integrate across the entire clinical workflow. This means unified systems that handle documentation, decision support, order entry, billing, and patient communication within a single intelligent platform. The fragmentation that currently characterizes healthcare technology will give way to cohesive systems designed around clinician needs.

Intelligent Specialization

As AI technology matures, we’ll see increasingly specialized systems tailored to specific clinical specialties, settings, and individual clinician preferences. The one-size-fits-all approach will be replaced by adaptive solutions that learn and evolve based on usage patterns and feedback.

Expanding Beyond Documentation

While documentation remains a major focus today, the next frontier involves AI systems that proactively identify patient needs, predict clinical deterioration, optimize resource allocation, and coordinate care across settings. These advanced capabilities will further enhance clinician effectiveness while reducing cognitive burden.

The Human-AI Partnership

The future of healthcare lies not in technology alone, but in thoughtful human-AI partnerships that amplify the best qualities of both. At Augnito, our mission remains focused on creating technology that enables clinicians to practice at the top of their license while reclaiming the joy that drew them to medicine.

The technological capabilities of 2025 represent remarkable progress, but the journey is ongoing. Healthcare leaders must continue investing in solutions that address burnout at its roots while preserving the essential human connections that define healthcare. Clinicians should embrace these tools not as replacements for their expertise, but as partners that enhance their capabilities and improve their quality of life.

As we look toward the future, I invite healthcare organizations to consider: How can we leverage AI not merely to improve efficiency, but to fundamentally reimagine clinical workflows in ways that prioritize clinician wellbeing and patient experience? The answer to this question will shape healthcare for generations to come.

What steps is your organization taking to leverage AI in combating clinician burnout? I welcome your thoughts and experiences as we collectively work toward a healthcare system that better serves both patients and providers.

[girlactionfigure]

HURT - DON'T HEAL THE ANTISEMITE

The attempt to disabuse the world of antisemitism has been a monumental failure. 

Despite decades of educational outreach things are the worst they’ve ever been. 

The hatred against us is at fever pitch and from multiple fronts. 

The alleged gains that have been made teaching the world about the Holocaust and antisemitism have not been worth the investment of time, energy and resources. 

The facts speak for themself. 

We are in the most precarious position any of us have ever experienced, with most of us wondering where our future lies.

To increase our safety we need a new approach.

This new approach requires us to stop projecting our Jewish belief in education onto the world. We need to stop expecting the world to react in the same way we do to the facts, reason and appeals for compassion we present. We need to stop assuming antisemites are simply ignorant and must confront the truth that they simply hate us and that they enjoy hating us.

We need to make this a less enjoyable pastime for them.

The future of Jewish safety is not in teaching the world to be better people - but in teaching them to watch their step. We need to stop attempting to teach our haters to be nice to us, but rather teach them there’s a cost to their transgressions. Putting it bluntly: we need to teach the world that we will fuck up anyone who tries to hurt us. That is the lesson we need to be pushing. It matters not one jot that they know where antisemitism leads for the Jews. We need to show them where antisemitism leads for them, the perpetrators of antisemitism. They don’t need to know what happened to the Jews in Auschwitz so much as they need to know what happened to the Nazis. They need to know the Nazis got fucked up, killed and destroyed. They need to know that Germany got levelled, destroyed and went up in flames. They need to know that German bodies and minds got broken beyond recognition. Antisemites need to know what happens to the antisemite - not the Jew. And we need to show them.

Those who attempt to kill us must be neutralised - and perpetrators of antisemitic speech and action need to have their lives attacked and diminished so that they experience the greatest personal cost we can extract. They need to suffer consequences to their reputations and their livelihoods. They must be shamed, exposed, humiliated, damaged and degraded. They must experience emotional and mental discomfort. The law must be used to punish them. They must lose their freedom if applicable. Whatever means is available to hurt them should be used to the fullest extent. Their suffering must be harsh and without pity and serve as a deterrent to others. If others don’t pay heed to that deterrent - then they must also suffer. And it must be without pity.

Do we risk antisemites not liking us?

They already hate us. 

Now let them fear us.

And some of you must stop this narcissistic impulse to want to redeem your abusers. This has nothing to with making the world better. It’s about satisfying your saviour complex and making you feel self-righteous. Stop prioritising your abusers. That in itself is a symptom of the abuse you’ve experienced. You have every right to prioritise yourself. Your abuser has not earned a right to your ongoing time and energy. 

Furthermore, trying to generate a couple of feel good stories about an antisemite turned good is an inefficient use of our resources - something we can ill afford when so many active enemies must be thwarted.

It also sends the wrong message. There is no deterrent if they know abusing us is a revolving door that offers them automatic reputational rehabilitation. 

Let’s hurt our haters and move on.

Let it be seen they have been hurt.

We need to stop educating people to like us. We need to teach them to fear us. We need to show them we are mean, nasty and will inflict pain without remorse. 

We need to hurt antisemites - not heal them.

Do some of you feel a little anxious hearing this kind of talk?

Does a Jew being aggressive and spiteful make you feel uncomfortable and anxious?

Good.

That’s how our enemies should feel.

Maybe then they’ll think twice about fucking with us.

LEE KERN

[vindrawin]

IVE BEEN WONDERING IF SHIMA’S DEAL WITH BUGS WAS MORE THAN MEETS THE EYE FOREVER

at first I was thinking it might have been another form of control— like a safety net— the Illuminati or maybe the Order essentially programmed into him through torture or something so that they would always be able to beat him in a fight. An automatic win if he ever disobeyed them. Maybe something they did to lots of their agents but those who they doubted the loyalty of especially

But now with how his speech changed and his lack of recognition after the fact, I’m thinking it’s more of a sleeper-agent state with bugs being the activation.

If so, what caused him to be like that? Bon and Konekumaru both knew of his fear with bugs by at least the beginning of the summer camp and seemed pretty familiar with it.

And even though they were facing a giant bug and a bunch of Chuchiis were directly on his face, it didn’t make him act like this. He *did* say he just started running and seemed like he didn’t really know what was going on beyond a blind panic— but that’s different than forgetting being a bad ass as soon as the task was finished.

Any other thoughts on the matter?

[killerrobot-killingmatch]

🤖 Tell me this:

★Reblog for a bigger sample size★

Robot: a machine resembling a human being and able to replicate certain human movements and functions automatically. / It must be able to do at least one task a human could do physically in a similar way. Doesn't have to resemble physically.

Humanoid Robot: A robot resembling the human body in shape. The design may be for functional purposes, such as interacting with human tools and environments, for experimental purposes, such as the study of bipedal locomotion, or for other purposes. / Must be recognizable as replicating a human to anyone who knows what a human is.

Android: A robot with a human appearance. / Looks more passibly human. Uncanny in their similarities even if clear differences.

Cyborg: A person whose physical abilities are extended beyond normal human limitations by mechanical elements built into the body. / Person with mechanical limbs (I don't really care if it enhances it tbh, let cool tech limbs count as cyborgs of they want)

Mecha: A large armored robot, typically controlled by a person riding inside the robot itself. / Big, has a person driving... usually.

Industrial Robots: Are robotic arms that can move in several directions and can be programmed to carry out many different types of tasks in different environments. / Arms only

Ai/ Artificial Intelligence: The theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. / A computer that can think, function, and process mentally like a human with complex thought. Doesn't require a body.

Beep Boop: @the-robot-bracket

Tagging you because I'm sure you and your followers also would want in on the sample size :D

[askgildaseniors]

Jalen Gilbert shares an uplifting message about following one's love for acting and totally dedicating to self-improvement. He encourages prospective performers to pursue their aspirations by reading plays, rehearsing monologues, and developing their own performances. His advise encourages individuals to fall in love with the process of improving themselves rather than just performing. This motivating approach to development is critical for anybody wishing to excel in the acting industry, where personal devotion is needed.

Jalen stresses the value of internal competitiveness above outward competition. He urges performers to focus on self-improvement rather than competition. This approach promotes personal ambition and progress without the need to stomp on others to go ahead. Jalen's remarks provide an inspiring and motivating viewpoint, reminding performers that their ultimate competition is inside themselves, and that aiming to consistently outperform their prior performances will lead to long term success.

In addition to concentrating on self-development, Jalen emphasizes the need of adaptability and continuous learning. He encourages performers to take on obstacles such as learning new dialects and becoming more sensitive in their performances. These factors of development and learning are essential for actors who want to be genuinely exceptional at their art. Jalen's message is both uplifting and practical, encouraging performers to push their limits in order to achieve their full potential.

Finally, Jalen reassures performers that if they remain driven and focused on improving their profession, success will come automatically. The encouraging lesson from Jalen's speech is that if actors remain committed to better themselves, external results such as recognition and professional prospects will match with their efforts. His counsel combines inspiration and motivation, guiding performers down a clear route to pursuing their love.

[workersolidarity]

[ 📹 A montage of scenes from six months of Israeli siege, bombardment, blockade, and genocide in the Gaza Strip as part of "Israel's" goal of ethnically cleansing the entirety of the Gaza Strip and genociding the Palestinian population that refuses to leave their homeland.]

🇮🇱⚔️🇵🇸 🚀🏘️💥🚑 🚨

ISRAELI OCCUPATION COMMITTS DEADLY MASSACRE ON THE EVE OF EID AL-FITR AS GAZA BOMBINGS RAMPS UP ONCE AGAIN

On the 187th day of "Israel's" special genocide operation in the Gaza Strip, the Israeli occupation forces (IOF) committed several massacres of Palestinian families, resulting in the deaths of no less than 122 Palestinian civilians, mostly women and children, while another 56 others were wounded over the previous 24-hours.

In the latest Zionist massacre and atrocity, the Israeli occupation air forces bombed a residential building belonging to the Abu Youssef family, located in the Al-Nuseirat Refugee Camp, in the central Gaza Strip, largely destroying the building and killing at least 14 Palestinian civilians, the majority of which were women and children, and wounding a large number of others.

The attack targeted a residential square housing Palestinian families and comes on the eve of Eid al-Fitr, the celebrations and prayers which mark the end of the Holy month of Ramadan, and the welcoming of the month of Shawwal, a major Muslim holiday.

Similarly, occupation warplanes bombed agricultural lands in the Al-Zuhur neighborhood, north of the city of Rafah, in the southern Gaza Strip, killing at least one woman and wounding two others.

In another tragedy, a Zionist sniper shot a young Palestinian man near the Shuhada junction in central Gaza, resulting in the man's death.

At the same time, Zionist occupation forces destroyed a residential tower in the city of Al-Zahra, north of the Nuseirat Camp, in central Gaza.

In the meantime, local civil defense crews continue to recover the bodies of those murdered by the Israeli occupation in the Khan Yunis governate, in the southern Gaza Strip, after the withdrawal of the Zionist army from the area after months of ground operations, with reports that local paramedics transported the bodies of at least three citizens killed by the occupation in the southeast of Khan Yunis.

Occupation fighter jets also bombed a residential home in the Al-Zaytoun neighborhood, southeast of Gaza City, while also dropping bombs in the vicinity of the Al-Khazandar station, northwest of Gaza City.

Several Palestinian civilians were also martyred and wounded as a result of the Zionist bombing of a residential building in the eastern neighborhoods of the Jabalia Refugee Camp, in the northern Gaza Strip.

Meanwhile, as Israeli bombings slaughtered innocent families in the Gaza Strip, Zionist-extremist colonists launched an attack on the Palestinian village of Burqa, located to the east of Ramallah, in the occupied West Bank.

According to local sources, more than 30 Israeli colonial settlers launched an attack on the village of Burqa, firing automatic weapons with live bullets towards Palestinian families, injuring four civilians, including at least one 15-year-old child. The colonists also burned a barn during the attack which was used to house sheep.

The Palestinian Resistance, in particular the Mujahideen Brigades, belonging to the Palestinian Mujahideen Movement, announced today a joint operation conducted with the Al-Qassam Brigades, belonging to the Hamas Resistance movement, in which Resistance forces attacked a unit of Israeli occupation soldiers operating southwest of Gaza City using mortar shells, successfully hitting their targets.

In other news today, Irish Foreign Minister Michael Martin announced the Irish government would be submitting a proposal to the Parliament for the recognition of a Palestinian State in the next few weeks as part of "broader international discussions."

In a speech before the Irish Parliament, Martin said that "None of you has any doubt that recognition of a Palestinian state will happen," and that postponing the decision "is no longer convincing or defensible anymore."

Martin went on to slam the Israeli occupation's genocidal war in Gaza, telling Parliament that he had "no doubt that war crimes have been committed, and I strongly condemn the ongoing bombing of Palestinian citizens of Gaza," adding that the recognition of a Palestinian state could "strengthen the Arab peace initiative."

As a result of "Israel's" special genocide operation in the Gaza Strip, the death toll among the Palestinian population of the enclave has risen in excess of 33'482 Palestinians killed by the Israeli occupation, over 14'000 of which being children, accounting for over 44% of those killed, while another 76'049 others have been wounded since the start of the current round of Zionist aggression, beginning on October 7th, 2023.

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#videosource

@WorkerSolidarityNews

[signalfog]

US Constitution - A Critique and Upgrade Options

SACCO & VANZETTI PRESENT:

THE CONSTITUTION IN FIRE AND CODE

A hard-nosed, ethical teardown of America's source code BASE SYSTEM: U.S. CONSTITUTION v1.0.1787

VANZETTI: The Constitution is not sacred. It’s a contract—one written by 55 elite white men, many of whom owned humans, and none of whom trusted the masses.

It’s a political OS designed to stabilize a fragile post-revolutionary elite consensus. It featured:

Separation of Powers: Isolation of functions to prevent autocracy, but also to slow democracy.

Checks and Balances: Not equilibrium—just distributed veto points.

Enumerated Powers: Core federal functions, tightly scoped.

Elastic Clause: An escape hatch for future relevance, designed to expand federal power slowly.

But its core failure? It was engineered for a low-bandwidth, low-population, literate-male landowning republic. It has not been significantly refactored since muskets and messengers. It is a creaking system straining under incompatible load.

SACCO: This wasn’t “for the people.” It was designed to keep the people contained. That was the function. The Senate was an elite kill switch. The Electoral College? A manual override in case democracy got uppity.

It’s not a broken system. It’s a functioning oligarchy framework with ceremonial democratic syntax.

BILL OF RIGHTS: PATCH OR PROP?

VANZETTI: The Bill of Rights was a retrofit—a patch to suppress anti-federalist rage. It formalized personal liberties but offered no systemic guarantees. It assumes good-faith actors will respect vague principles like “unreasonable” and “excessive.” No enforcement layer. No recursion. Just faith.

They are declarative rights. Not executable rights.

SACCO: You have the right to speak, sure. But no right to reach. You can protest, unless the city denies your permit. You can be tried by jury—if you can afford not to plead out.

These aren’t rights. They’re permissions granted by an extractive system when it suits the optics.

They tell you the government can’t search your house. They don’t tell you about digital surveillance dragnets, predictive policing, and facial recognition at protest marches.

The Bill of Rights is a beautiful lie in cursive. It reads clean. It runs dirty.

SYSTEMIC LIMITATIONS — 2025 REALITY

VANZETTI: The Constitution is brittle under modern load:

Elections: Electoral College and Senate distort democracy beyond recognition.

Legal System: Lifetime judicial appointments become ideological hard forks.

Rights Enforcement: Subjective interpretation, no auto-execution.

Transparency: Black-box governance remains default.

Corporations: Treated as persons with infinite speech budget.

Privacy: Undefined. Loophole the size of AWS.

Its failure modes are increasingly exploited by well-funded actors who’ve read the source code and know no one’s enforcing the terms.

SACCO: Don’t talk to me about founding wisdom when your “more perfect union” doesn’t define “truth,” doesn’t define “justice,” and doesn’t protect the poor from being data-mined, indebted, and incarcerated.

They wrote this to protect wealth from mobs. We’re the mobs now.

THE UPGRADE PATH: BLOCKCHAIN GOVERNANCE

VANZETTI: A new system must execute governance as code, not wishful interpretation. Here’s how it looks:

1. ConstitutionChain All laws, interpretations, amendments, and precedents recorded immutably. Transparent. Auditable. Every ruling is version-controlled. We no longer interpret the Constitution—we query it.

2. Smart Contract Rights Each civil liberty is codified. Violate it, and the system triggers penalties automatically. No discretion. No delay. Rights exist only if they execute.

3. ZK-ID Voting System Anonymous, verifiable, cryptographically secure civic identity. One citizen, one unforgeable vote. Gerrymandering becomes obsolete. Voter suppression becomes mathematically visible.

4. Distributed Judicial Logic No more black-robed oracles. Rulings handled by time-limited panels of legal professionals, selected randomly and transparently. All opinions stored, auditable, and revisable based on new precedent or revelation.

5. Public Key Legislative Tracking Every bill, every edit, every lobbyist fingerprint on public record. Representational corruption becomes a provable dataset.

SACCO: This isn’t utopian. It’s survival.

The current system runs on the belief that words written by slavers can protect the data rights of your daughter on a school Chromebook.

It can’t. You need a constitution that logs, executes, and cannot lie.

DEPLOYMENT STRATEGY

Phase 0: Parallel Chain Shadow legal and civic frameworks built at city and state levels. Use real elections as dry runs for blockchain voting. Publicly track existing corruption as a proof-of-need.

Phase 1: Digital Citizenship Opt-in constitutional layer for a new federated digital public. Users choose citizenship by protocol, not geography.

Phase 2: Critical Fork When the legacy system hits unsustainable entropy—financial collapse, legal legitimacy crisis, climate-triggered authoritarianism—the constitutional fork becomes the continuity government.

SACCO: When the Republic dies, it won’t announce it. It will just stop executing your rights and blame you for noticing.

We’re not trying to fix the system.

We’re building a better one in its shadow.

CONCLUSION:

VANZETTI: The Constitution was a brilliant v1.0. But it cannot scale, cannot adapt, and cannot protect. It needs to be replaced by something that runs honestly in real time.

SACCO: It’s not about preserving liberty. It’s about enforcing it.

If your freedom isn’t programmable, it’s marketing.

“In the beginning, they wrote it in ink. Now we write it in code.”

[chalkrevelations]

One of the criticisms I've repeatedly seen leveled at Dangerous Romance is that it doesn't engage with issues of socioeconomics and class the way it ought to, and I think that's a little unfair, because sure, it doesn't engage with those topics to the extent that some other bls have done, but it also engages with them to an extent greater than many, many other bls have done and do. I've posted before about how I think DR tackles issues of bullying, its fallout, recovery and reconciliation better than many other, sometimes beloved, shows have done. Is it perfect on this front? No. But it's a step forward, and I think it's one of the places where not only has it not gotten recognition, but criticism has been leveled at it that makes it sound like it did less than it actually did. Similarly, I don't think DR gets recognized for the work that it is doing on issues of socioeconomics and poverty. Again, is it perfect? No. But something really caught my eye this week, something that struck me when I watched Kanghan give his little speech to his grandmother about "poor people," which I and so many others found utterly vile - vile enough for some people to consign him back to the irredeemable category, if some responses in the tags are to be believed. Vile enough for some people to be disturbed enough that they don't know how they feel about the show anymore. Which, just. :hands: Do we want the show to tackle these topics or not? Because right now, it looks like it can't win, no matter what it does.

Here's the thing: We find Kanghan's comment vile because we're supposed to, because when the show puts those words in Kanghan's mouth, it's making a deliberate comment about poverty and the way it's viewed by people privileged enough to never worry about where their next meal is coming from, whether they'll have a roof over their head, and if that roof provides a modicum of safety - or if your door might as well be open to anyone who wants to walk in, whether it be a pissed-off classmate with a gun, or debt collectors willing to kick the shit out of a high-school kid. It's making a comment about the way low-resource populations are viewed by the people who profit off of socioeconomic systems that create poverty in the first place - because where does Kanghan's money come from? Where does Sailom and Saifah's debt come from? Is it even theirs, or did they inherit it? Does a just socioeconomic system give Kanghan more money than he knows what to do with, while Saifah is stealing rice from his patients to feed his little brother? How do we, as the audience, feel about the fact that benevolent Grandma Ging's solution to the Homchan debt was to have Sailom essentially sell himself to her family in indentured servitude until Kanghan is able to get into university? No, the show doesn't spoonfeed us these questions, but they're there, woven through the narrative, and Kanghan's comment - and Grandma's acquiescence to it - throws them into sharp relief. And once they're exposed that way, they're suddenly so ugly the audience is reluctant to look at them?

Anyway, my immediate response to Kanghan's comment was

I have done a superhuman job of maintaining my emotional equilibrium so far ... only threatening once to reach into the screen to strangle him when he pulled out that completely noxious little speech about "poor people" and what they'll do for money, because yeah, fuck you and the coddled little gremlin that's rearing its ugly head back up again.

I think that "again" is important, because it not only shows the way Kanghan defaults to what's comfortable and familiar to him when he's suddenly thrust out of his depth - and when he feels profoundly betrayed - but it also shows that attitudes and prejudices about low-resource populations are deeply ingrained. The fact that this is the ugly thing Kanghan automatically falls back on in an attempt to maintain a wall between himself and Sailom reminds me of the way misogynistic slurs are pulled out and used against women in the heat of anger by people who would never classify themselves as misogynist. This is the thing about prejudices - they're part of the culture, we're swimming in them, and they take work to undo. I would actually rather have Kanghan explicitly show this attitude than act like it's magically resolved or like it doesn't exist. I been sayin' - none of these issues just disappeared in episode three when the cuteness started creeping in. They continued to exist alongside and underneath, and the show was only waiting to pull them out again at the right time. Appropriately, that time is when Kanghan is under stress.

I also think it's pretty smart writing to pull this back out now, after a stretch of episodes that first, made the audience complicit in the same kind of mindset Kanghan displays - come on, how many of us were convinced Saifah was sketchy from the beginning, when he was taking rice from his private patients to feed his little brother? How many of us took one look at Name and knew he was Bad Fucking News, full stop, and not worth the time Saifah so obviously wanted to spend on him, before meeting the Bigger Bad behind him, the one who keeps him on a leash? - and then deconstructed those attitudes, spinning out sympathetic characterizations from questionable first impressions. The very same episode in which Kanghan spouts this awful stuff about "poor people" and how they'll do anything for money also shows explicitly ... well, first of all, it shows that Sailom won't do just anything for money - he'll escort, providing services for payment, but he won't steal. But more thematically, the episode emphasizes the near-inextricable web that people with limited access to resources - including, yes, money - find themselves tangled in when they're pushed into survival work, be that stealing, sex work or violence, as we see with Saifah, Sailom and Name.

Stealing is survival work. Escorting is survival work. Violence is survival work. It's also all dangerous, and it's all illegal. None of it is something that most people would do by choice if they had other options. In some cases, it's really damn hard to walk away from, and not because you're enjoying it, but because it might get you killed. DR shows-not-tells us all of this. It shows us that it's real easy to say poor people will do anything for money, but money actually translates into food and clothes, a roof over your head, survival. (There's a reason we're introduced to the scene of Sailom escorting again with a plate full of food being set down in front of him - it's a callback to the spread of food Kanghan orders when he's playing sugar daddy in Korat. Now, we're smacked in the face with the reality of needing a sugar daddy.) Poor people will prey on each other to survive, as Name does to Saifah and Sailom. They'll also help each other, like Saifah does with Name. Meanwhile, Kanghan, who's never been food-insecure a day in his life, sneers about what other people have to do to survive and makes himself out to be the victim, and we as the audience are repelled. That's on purpose. That's the show's commentary on socioeconomic issues.

Do I like that it happened in the same episode that Sailom The Magic Poor solved the rift between Poor Little Rich Boy and his Rich Dad? No. But I'm also not going to let perfect be the enemy of the good. And here's the thing about Kanghan and his ugly comment: That deconstruction that the show does on a meta-level of audience attitudes about Saifah and Name? That's an assurance that Kanghan, himself, can deconstruct his attitudes and prejudices about "the poor."

Meanwhile, this attitude of Kanghan's - They want Our money - this ties into his deepest fears and insecurities. Would you like me if I had no money, he asks Sailom (and meanwhile he knows that he has no money, he has his dad's money), despite the fact that Sailom has been telling him since he punched Kanghan in the face with a fistful of Kang's cash that Sailom doesn't care about Kanghan's money and some things can't be bought. It also means that Sailom knows immediately the worst way to hurt Kanghan - the way he's been hurt when the boy who Sailom has given everything to, the one who was supposed to protect him, the one who just promised he'd be with Sailom through everything, instead turns on a dime and throws him out like garbage. Sailom is smart and he knows just where to hit, he knows what it's going to do when he tells Kanghan he's only ever been interested in his money - it's not the least bit true, and it's still the most painful thing he could ever say.