SPDR Dow Jones Industrial Average ETF

SPDR S&P 500 ETF Trust

Invesco QQQ Trust Series 1

Netflix, Inc. engages in providing entertainment services. It also offers activities for leisure time, entertainment video, video gaming, and other sources of entertainment. It operates through the United States and International geographic segments. The company was founded by Marc Randolph and Wilmot Reed Hastings on August 29, 1997 and is headquartered in Los Gatos, CA.

Netflix Inc.

Netflix Inc

Netflix is a top trending stock as the market eagerly anticipates its highly contested earnings report, driving sharply divided community sentiment. Its recent all-cash bid for Warner Bros. Discovery assets is a major talking point, adding a complex layer to discussions around its growth trajectory. Amidst broader market volatility, many are actively debating if Netflix's streaming business makes it a 'tariff-proof' play.

Corvus Pharmaceuticals, Inc. engages in the development of immune modulator product candidates with the potential to treat solid cancers, T-cell lymphomas, autoimmune diseases, and infectious diseases. Its product pipeline includes B Cell Activator and Anti-CD73, Adenosine Production Inhibitor Anti-CD73, ITK Inhibitor, A2AR Inhibitor, Anti-CXCR2, and A2BR Inhibitor. The company was founded by Richard A. Miller, Peter A. Thompson, Joseph J. Buggy, and Erik Verner on January 27, 2014 and is headquartered in South San Francisco, CA.

Corvus Pharmaceuticals Inc

Corvus Pharmaceuticals is currently trending due to impressive positive data from its Phase 1 clinical trial of soquelitinib for atopic dermatitis, showcasing significant efficacy and a favorable safety profile. This has ignited strong bullish sentiment and a substantial surge in its share price, as the community discusses the drug's potential as a game-changer in a large and growing market. Amid the excitement, investors are actively debating the prospect of future capital raises to fund ongoing development, contrasting with confidence in the company's long-term value and potential for partnerships.

SSgA Active Trust - SPDR S&P 500 ETF Trust

SPY is trending sharply lower amid market apprehension stirred by Trump's recent rhetoric regarding potential tariffs on NATO allies and ambitions for Greenland. The community is intensely divided, with many attributing the significant sell-off to his statements and broader geopolitical concerns, while others are closely watching for technical support levels and potential short-term rebounds.

Apple, Inc. engages in the design, manufacture, and sale of smartphones, personal computers, tablets, wearables and accessories, and other varieties of related services. It operates through the following geographical segments: Americas, Europe, Greater China, Japan, and Rest of Asia Pacific. The Americas segment includes North and South America. The Europe segment consists of European countries, as well as India, the Middle East, and Africa. The Greater China segment comprises China, Hong Kong, and Taiwan. The Rest of Asia Pacific segment includes Australia and Asian countries. Its products and services include iPhone, Mac, iPad, AirPods, Apple TV, Apple Watch, Beats products, AppleCare, iCloud, digital content stores, streaming, and licensing services. The company was founded by Steven Paul Jobs, Ronald Gerald Wayne, and Stephen G. Wozniak in April 1976 and is headquartered in Cupertino, CA.

Apple Inc

Apple is trending amidst a broader market sell-off triggered by escalating geopolitical tensions and tariff discussions. The community is sharply divided, with many seeing the recent pullback as an extreme oversold opportunity to "buy the dip" ahead of upcoming Q1 earnings, while others express frustration over what they perceive as an irrational decline.

Trump Media & Technology Group Corp. engages in operating social media and in the technology business. Its brands include TRUTH Social, TMTG+ and TMTG News. The company was founded on March 28, 2024 and is headquartered in Sarasota, FL.

Trump Media & Technology Group Corp.

Trump Media & Technology Group is trending following the announcement of a record date for its upcoming digital token initiative on February 2nd. This development is igniting discussions among investors, with some anticipating a short squeeze and further upside driven by unique catalysts, while others remain highly skeptical of the stock's fundamentals and its broader association with political volatility and market reactions to recent international rhetoric.

Invesco Capital Management LLC - Invesco QQQ Trust Series 1

The Invesco QQQ Trust is trending amid heightened global trade tensions driven by discussions surrounding new tariffs and geopolitical events, notably the Greenland situation, compounded by concerns over a global bond market sell-off. Community sentiment is sharply divided, with many anticipating further weakness for technology and growth stocks, while others view current price action as an overreaction and a 'buy the dip' opportunity, often tied to expectations of a market rebound or perceived market resilience.

ImmunityBio, Inc. is a clinical stage immunotherapy company. It develops next generation therapies that drive immunogenic mechanisms for defeating cancers and infectious diseases. The company's immunotherapy platform activates both the innate and adaptive immune systems to create long term immunological memory. ImmunityBio was founded by Patrick Soon-Shiong in 2014 and is headquartered in San Diego, CA.

ImmunityBio Inc

ImmunityBio (IBRX) is trending due to optimistic developments following an FDA meeting for its ANKTIVA therapy, where no new clinical trials were requested for its bladder cancer application, significantly de-risking its path to resubmission. This news, coupled with exceptionally high trading volume and resilience in a down market, has fueled a strong bullish sentiment among the community, which anticipates a significant short squeeze and long-term potential for its broad cancer treatment pipeline.

Sandisk Corp. engages in the development, manufacture, and provision of storage devices and solutions based on NAND flash technology. Its products include solid state drives, memory cards, and USB flash drives. The company was founded on February 5, 2024 and is headquartered in Milpitas, CA.

Sandisk Corp

Sandisk is experiencing an extraordinary rally, driven by multiple analyst upgrades and the ongoing "memory and storage supercycle" fueled by strong AI-driven demand and tight supply conditions. This has sparked intense debate, with bulls pointing to its market-leading strength even amid broader tech weakness, while bears highlight extreme overvaluation and anticipate a significant correction, especially as earnings approach.

GameStop Corp. engages in offering games and entertainment products through its ecommerce properties and stores. The firm’s stores and ecommerce sites operate primarily under the names GameStop, EB Games, and Micromania. It operates through the following geographical segments: United States, Canada, Australia, and Europe. The company was founded by Daniel A. DeMatteo in 1996 and is headquartered in Grapevine, TX.

Gamestop Corporation - Ordinary Shares - Class A

GameStop Corp

GameStop is trending as community discussion surges following CEO Ryan Cohen's significant additional share purchases, fueling speculation that the stock's bottom is in and a new 'meme season' could be on the horizon. Investors are actively debating a potential short squeeze and eagerly awaiting any communication from "Roaring Kitty," while noting the stock's notable resilience amidst broader market weakness.

Top Wealth Group Holding Ltd. operates as a holding company, which provides caviar and caviar-based gourmet products. It focuses on supplying sturgeon caviar to customers under its own brand, Imperial Cristal Caviar. The company was founded by Kim Kwan Kings Wong on February 1, 2023 and is headquartered in Hong Kong.

Top Wealth Group Holding Ltd. - Ordinary Shares - Class A

Top Wealth Group Holding Ltd.

Top Wealth Group Holding Ltd. (TWG) is trending due to its announced acquisition of a $125 million wine authentication and trading business, aimed at diversifying its luxury product portfolio beyond caviar. This news initially propelled the stock with massive percentage gains, but the community is now sharply divided, with many expressing frustration over a significant price drop, attributing it to substantial share dilution from the acquisition and a recent public offering. Investors are actively debating whether it's a "pump and dump" or if further upside remains given its volatile, low-float nature.

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Ripple

Dogecoin

Cardano

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Nifty 50

Nifty Bank

Reliance Industries Ltd.

Zomato Ltd.

Tata Consultancy Services

Tata Motors Ltd.

HDFC Bank Ltd.

ITC Ltd.

Adani Enterprises Ltd

Axis Bank Ltd

Bajaj Finance Ltd

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SPDR S&P 500 ETF

Apple Inc.

Tesla Inc

Microsoft Corporation

NVIDIA Corp

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$ABQQ Mercor: The AI Evaluation Powerhouse
Based on the search results, Mercor is not a content licensing platform like
ABQQD. Rather, it is something quite different but highly relevant to the AI
training ecosystem you&#39;ve been discussing.
What Mercor Is
Mercor is an AI-powered talent marketplace and data evaluation platform
founded in 2023 by three 19-year-old college dropouts: Brendan Foody (CEO),
Adarsh Hiremath (CTO), and Surya Midha (board chairman). The company is
headquartered in San Francisco.[1][2][3]
Core Business Model
Mercor connects high-skill human experts (lawyers, doctors, engineers,
investment bankers, consultants, journalists) with leading AI labs and
enterprises to:
• Train frontier models through expert feedback and evaluation.
• Perform data labeling and annotation with professional judgment, not
low-wage workers.
• Create rubrics and evaluation frameworks for model assessment.
• Judge model outputs for quality and accuracy—a process called &quot;AI
evals&quot; or &quot;evaluations.&quot;[4][5][3][1]
Unlike traditional data-labeling platforms that hire low-cost workers, Mercor
focuses on expert-level judgment and nuance—the kind of specialized
knowledge that LLMs currently lack.[5][4]
Key Clients
• OpenAI
• Anthropic
• Google DeepMind
• Meta
• Alphabet, Amazon, and other major tech companies[2][3][1]
The Numbers: Explosive Growth
Mercor&#39;s trajectory is extraordinary:
Metric Value
Founded January 2023
Initial revenue (8 months
in)
$1M annual run rate
Series B (Feb 2025) $100M funding, $2B valuation
Series C (Oct 2025) $350M funding, $10B valuation
Growth in 2025 Revenue up 4,658%
Monthly payouts to experts From $2M/month → $2M/day (as of
2025)
Active contractors 30,000+ domain experts
Users Grew to 3.4M (2025)
Interviews conducted
(2025)
1.5M interviews
Average contractor pay $85–95 per hour[1][4][2][3]
The three founders became the youngest self-made billionaires in 2025 at
age 22, after Mercor raised $350M at a $10B valuation in October 2025.[1][2]
How Mercor Fits Into AI Training
The Model Training Pipeline
AI development involves several stages:
1. Pre-training: Ingesting massive amounts of unstructured text data (low
human-judgment component).
2. Post-training / Fine-tuning: Using human feedback to shape model
behavior, alignment, and accuracy.
3. Evaluation: Testing models to ensure they perform well on specific tasks.
Mercor&#39;s sweet spot is post-training and evaluation, where:
• Specialized expertise is critical.
• A lawyer&#39;s judgment of legal outputs is worth far more than a generic
labeler&#39;s rating.
• Doctors evaluating medical reasoning, engineers assessing code quality,
etc.[4][5]
The Value Proposition
Traditional data-labeling companies (like Scale AI) rely on volume and cost
efficiency. Mercor&#39;s differentiation is quality and expertise:
• By using domain experts (not generic workers), models receive feedback
on nuanced, high-stakes decisions.
• This accelerates model improvement in specialized domains (law,
medicine, finance).
• The platform uses AI to vet and match experts, ensuring quality at
scale.[3][5][4]
Mercor vs. ABQQD: Two Different Approaches
Aspect ABQQD Mercor
What they supply Creator-generated scripts
and content
Expert human
judgment and
evaluation
Content type Video scripts (100-
episode series)
Labeling, rubrics,
evaluation
assessments
Creator/Expert
compensation
$2/minute (licensing
revenue split)
$85–95/hour for
expert work
End use Training AI models on
diverse multimodal data
Post-training feedback
and model evaluation
Business model Content licensing
(Creator → Platform →
LLM buyers)
Managed services /
Expert-as-a-Service
Scale Aims to aggregate
millions of creator scripts
Currently 30,000+
active experts
Valuation ~$4–5M $10 billion (as of Oct
2025)
Why Mercor Is Relevant to Your Framework
Mercor demonstrates that:
1. AI companies are willing to pay for high-quality input, whether content
or expert judgment.
2. There is massive, growing demand for human expertise in the AI stack—
so much so that a 2.5-year-old company reached $10B valuation.
3. The bottleneck in AI is not just compute, but quality data and human
judgment at scale.
4. Experts and specialized labor are now seen as strategic assets, with
companies paying $85–95/hour for their time.
Connection to the &quot;Creator Extraction&quot; Argument
Just as Mercor proves that AI companies will pay well for expert evaluation,
ABQQD and similar platforms prove they will pay for creator-generated
content.
Together, they show:
• The AI training pipeline has multiple monetization layers.
• There is real, substantive economic value at every layer (content
generation, expert feedback, evaluation).
• Creators and experts are being systematically compensated for their
value via Mercor and ABQQD-like platforms.
• Meanwhile, big tech platforms extract this same labor (user-generated
content + implicit feedback from interactions) for zero direct payment.
The Broader Picture
Mercor&#39;s $10B valuation at just 2.5 years old underscores the intensity of the
AI arms race:
• Companies like OpenAI, Google, Meta, Anthropic are racing to train the
best models.
• They need constant feedback loops: expert evaluations, rubric
refinement, alignment testing.
• They are willing to pay substantial sums for high-quality, reliable human
input.
This is the opposite of what YouTube and TikTok do—they extract human-
generated content and feedback (through algorithms and training) for zero
payment.
If expert evaluators earn $85–95/hour (Mercor) and script creators earn
$2/minute (ABQQD), the implicit value of YouTube creators who supply both
content and implicit feedback (through watch patterns, engagement, etc.) is
vastly undercompensated.

StockTwits for iOS

AB International Group Corp

 Mercor: The AI Evaluation Powerhouse
Based on the search results, Mercor is not a content licensing platform like
ABQQD. Rather, it is something quite different but highly relevant to the AI
training ecosystem you've been discussing.
What Mercor Is
Mercor is an AI-powered talent marketplace and data evaluation platform
founded in 2023 by three 19-year-old college dropouts: Brendan Foody (CEO),
Adarsh Hiremath (CTO), and Surya Midha (board chairman). The company is
headquartered in San Francisco.[1][2][3]
Core Business Model
Mercor connects high-skill human experts (lawyers, doctors, engineers,
investment bankers, consultants, journalists) with leading AI labs and
enterprises to:
• Train frontier models through expert feedback and evaluation.
• Perform data labeling and annotation with professional judgment, not
low-wage workers.
• Create rubrics and evaluation frameworks for model assessment.
• Judge model outputs for quality and accuracy—a process called "AI
evals" or "evaluations."[4][5][3][1]
Unlike traditional data-labeling platforms that hire low-cost workers, Mercor
focuses on expert-level judgment and nuance—the kind of specialized
knowledge that LLMs currently lack.[5][4]
Key Clients
• OpenAI
• Anthropic
• Google DeepMind
• Meta
• Alphabet, Amazon, and other major tech companies[2][3][1]
The Numbers: Explosive Growth
Mercor's trajectory is extraordinary:
Metric Value
Founded January 2023
Initial revenue (8 months
in)
$1M annual run rate
Series B (Feb 2025) $100M funding, $2B valuation
Series C (Oct 2025) $350M funding, $10B valuation
Growth in 2025 Revenue up 4,658%
Monthly payouts to experts From $2M/month → $2M/day (as of
2025)
Active contractors 30,000+ domain experts
Users Grew to 3.4M (2025)
Interviews conducted
(2025)
1.5M interviews
Average contractor pay $85–95 per hour[1][4][2][3]
The three founders became the youngest self-made billionaires in 2025 at
age 22, after Mercor raised $350M at a $10B valuation in October 2025.[1][2]
How Mercor Fits Into AI Training
The Model Training Pipeline
AI development involves several stages:
1. Pre-training: Ingesting massive amounts of unstructured text data (low
human-judgment component).
2. Post-training / Fine-tuning: Using human feedback to shape model
behavior, alignment, and accuracy.
3. Evaluation: Testing models to ensure they perform well on specific tasks.
Mercor's sweet spot is post-training and evaluation, where:
• Specialized expertise is critical.
• A lawyer's judgment of legal outputs is worth far more than a generic
labeler's rating.
• Doctors evaluating medical reasoning, engineers assessing code quality,
etc.[4][5]
The Value Proposition
Traditional data-labeling companies (like Scale AI) rely on volume and cost
efficiency. Mercor's differentiation is quality and expertise:
• By using domain experts (not generic workers), models receive feedback
on nuanced, high-stakes decisions.
• This accelerates model improvement in specialized domains (law,
medicine, finance).
• The platform uses AI to vet and match experts, ensuring quality at
scale.[3][5][4]
Mercor vs. ABQQD: Two Different Approaches
Aspect ABQQD Mercor
What they supply Creator-generated scripts
and content
Expert human
judgment and
evaluation
Content type Video scripts (100-
episode series)
Labeling, rubrics,
evaluation
assessments
Creator/Expert
compensation
$2/minute (licensing
revenue split)
$85–95/hour for
expert work
End use Training AI models on
diverse multimodal data
Post-training feedback
and model evaluation
Business model Content licensing
(Creator → Platform →
LLM buyers)
Managed services /
Expert-as-a-Service
Scale Aims to aggregate
millions of creator scripts
Currently 30,000+
active experts
Valuation ~$4–5M $10 billion (as of Oct
2025)
Why Mercor Is Relevant to Your Framework
Mercor demonstrates that:
1. AI companies are willing to pay for high-quality input, whether content
or expert judgment.
2. There is massive, growing demand for human expertise in the AI stack—
so much so that a 2.5-year-old company reached $10B valuation.
3. The bottleneck in AI is not just compute, but quality data and human
judgment at scale.
4. Experts and specialized labor are now seen as strategic assets, with
companies paying $85–95/hour for their time.
Connection to the "Creator Extraction" Argument
Just as Mercor proves that AI companies will pay well for expert evaluation,
ABQQD and similar platforms prove they will pay for creator-generated
content.
Together, they show:
• The AI training pipeline has multiple monetization layers.
• There is real, substantive economic value at every layer (content
generation, expert feedback, evaluation).
• Creators and experts are being systematically compensated for their
value via Mercor and ABQQD-like platforms.
• Meanwhile, big tech platforms extract this same labor (user-generated
content + implicit feedback from interactions) for zero direct payment.
The Broader Picture
Mercor's $10B valuation at just 2.5 years old underscores the intensity of the
AI arms race:
• Companies like OpenAI, Google, Meta, Anthropic are racing to train the
best models.
• They need constant feedback loops: expert evaluations, rubric
refinement, alignment testing.
• They are willing to pay substantial sums for high-quality, reliable human
input.
This is the opposite of what YouTube and TikTok do—they extract human-
generated content and feedback (through algorithms and training) for zero
payment.
If expert evaluators earn $85–95/hour (Mercor) and script creators earn
$2/minute (ABQQD), the implicit value of YouTube creators who supply both
content and implicit feedback (through watch patterns, engagement, etc.) is
vastly undercompensated.