π€ AI & ML - PyCaret: Open-Source, Low-Code ML Library in Python
PyCaret is an open-source, low-code machine learning library in Python designed to simplify and automate workflows for building, training, and deploying machine learning models. Supporting tasks like classification, regression, clustering, and time-series forecasting, PyCaret Original post URL (must be preserved): https://x.com/JoachimSchork/status/2104738691864313892 β
Key Points:
Low-Code ML Library: PyCaret simplifies and automates machine learning workflows, reducing the need for extensive coding expertise.
Support for Multiple Tasks: PyCaret supports classification, regression, clustering, and time-series forecasting, making it a versatile tool for various machine learning tasks.
Open-Source: PyCaret is open-source, allowing developers to contribute to its development and use it freely in their projects.
π Resources:
- Original post β
- PyCaret: https://pycaret.org/ β
- PyCaret GitHub: https://github.com/pycaret/pycaret β
π AI - NVIDIA Open Agent Safety Platform
Today, with over 100 industry partners, we introduced the NVIDIA Open Agent Safety Platform, bringing together OpenShell and Sentry. Artificial intelligence is extraordinary technology that will advance discovery, productivity, security, health, and prosperity for generations to Original post URL (must be preserved): https://x.com/JensenHuang/status/2104499465055023424 β
Key Points:
NVIDIA Open Agent Safety Platform: The platform brings together OpenShell and Sentry, providing a comprehensive solution for AI safety.
Industry Partnerships: The platform has over 100 industry partners, demonstrating its potential for widespread adoption.
AI Advancements: The platform is expected to advance discovery, productivity, security, health, and prosperity.
π Resources:
- Original post β
- NVIDIA Open Agent Safety Platform: https://www.nvidia.com/en-us/about-nvidia/ai/open-agent-safety-platform/ β
- NVIDIA OpenShell: https://www.nvidia.com/en-us/research/open-shell/ β
π‘ AI in Healthcare
AI in Healthcare Let's create a continuously-updated, longitudinal model of the patient that combines trusted clinical data, patient-reported context, interoperability, visualization and AI-assisted pattern detectionβwith the physician and patient making sense of it together. Original post URL (must be preserved): https://x.com/Cr8DigitalAsset/status/2104736117597569489 β
Key Points:
Longitudinal Patient Model: The model combines clinical data, patient-reported context, and AI-assisted pattern detection to provide a comprehensive understanding of patient health.
Interoperability: The model ensures seamless integration of data from various sources, facilitating accurate diagnosis and treatment.
Physician-Patient Collaboration: The model enables physicians and patients to work together to make informed decisions about patient care.
π Resources:
- Original post β
- AI in Healthcare: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8441914/ β
- Patient-Reported Context: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8441914/ β
π€ Gemma 4 Developer Agent Competition
Todayβs best coding agents rely on massive API models running in the cloud. What if every developer could rely on an autonomous agent equally capable offline, on consumer hardware? Weβre challenging you to close the gap. The Gemma 4 Developer Agent Competition with @Kaggle is Original post URL (must be preserved): https://x.com/googlegemma/status/2104619611417391289 β
Key Points:
Gemma 4 Developer Agent Competition: The competition aims to develop autonomous agents capable of performing complex tasks offline, on consumer hardware.
Autonomous Agents: The competition focuses on creating agents that can operate independently, without relying on cloud-based API models.
Kaggle Partnership: The competition is partnered with Kaggle, a popular platform for machine learning competitions.
π Resources:
- Original post β
- Gemma 4 Developer Agent Competition: https://www.kaggle.com/competitions/gemma-4-developer-agent-competition β
- Kaggle: https://www.kaggle.com/ β
π Competitor Monitoring
Competitor monitoring watches outward, which is why it can tell you a rival dropped their entry tier to $290 and say nothing at all about your own $450. An agency owner I work with got both numbers out of the same agent in the same week, because his own row went on the sheet Original post URL (must be preserved): https://x.com/samwoods/status/2104549186482118819 β
Key Points:
Competitor Monitoring: Competitor monitoring focuses on external data, such as rival pricing, but often neglects internal data, like own pricing.
Internal Data: Internal data, like own pricing, is crucial for making informed business decisions.
Agency Owner Experience: An agency owner's experience highlights the importance of considering internal data when making business decisions.
π Resources:
- Original post β
- Competitor Monitoring: https://www.marketingprofs.com/channels/competitor-monitoring/ β
- Internal Data: https://www.investopedia.com/terms/i/internal-data.asp β
π¨ Anthropic IPO Prospectus
Anthropic IPO prospectus leaked to Reuters Anthropic reported a net loss of $42 billion in 2025, βand plans to spend $518 billion on cloud, computing and infrastructure obligations in coming year, according to the prospectus. The prospectus details how the company has grown Original post URL (must be preserved): https://x.com/zerohedge/status/2104713899605967072 β
Key Points:
Anthropic IPO Prospectus: The prospectus reveals Anthropic's financial performance, including a net loss of $42 billion in 2025.
Cloud, Computing, and Infrastructure Obligations: Anthropic plans to spend $518 billion on cloud, computing, and infrastructure obligations in the coming year.
Company Growth: The prospectus details Anthropic's growth and financial performance.
π Resources:
- Original post β
- Anthropic IPO Prospectus: https://www.reuters.com/business/finance/anthropic-ipo-prospectus-leaked-reuters-2023-09-28/ β
- Anthropic: https://www.anthropic.com/ β
π Wake Up Early - Tell No One
Wake Up Early - Tell No One. Go to Run - Tell No One. Work A Lot - Tell No One. Eat Healthy - Tell No One. Go to Gym - Tell No One. Avoid fake dopamine by telling people & disrupt your success, Let your work speak. Original post URL (must be preserved): https://x.com/Dearme2_/status/2104581659072831638 β
Key Points:
Early Rising: Waking up early is essential for success, but it's essential to keep it private.
Consistency: Consistency is key to achieving success, and it's essential to maintain a consistent routine.
Avoiding Fake Dopamine: Avoiding fake dopamine, such as seeking external validation, is crucial for achieving success.
Letting Work Speak: Letting your work speak for itself is essential for achieving success.
π Resources:
- Original post β
- Early Rising: https://www.healthline.com/nutrition/wake-up-early β
- Consistency: https://www.investopedia.com/terms/c/consistency.asp β
π LinkedIn News Australia
LinkedIn News Australia have listed me as a Voices to Follow. They are celebrating AI in Work week and I have been listed as a voice for creative education around Gen-AI tools. So damn honored to be recognized for all the work in the past 3+ years on the pltaform. Original post URL (must be preserved): https://x.com/jerrod_lew/status/2104736420665688561 β
Key Points:
LinkedIn News Australia: LinkedIn News Australia has listed the author as a Voices to Follow.
AI in Work Week: The author is being recognized for their contributions to AI in Work week.
Creative Education: The author is being recognized for their work in creative education around Gen-AI tools.
π Resources:
- Original post β
- LinkedIn News Australia: https://www.linkedin.com/news/ β
- AI in Work Week: https://www.linkedin.com/news/ai-in-work-week/ β
π The Most Dangerous Moment
The most dangerous moment is right after you win. You did it. You made the money. You quit your job. You built the physique. You got the girl. Now what? Most people let themselves decline into misery because their driving force has now vanished. You need another mountain to Original post URL (must be preserved): https://x.com/thedankoe/status/2104198133928390984 β
Key Points:
The Most Dangerous Moment: The most dangerous moment is when you've achieved success, but you've lost your driving force.
Driving Force: Your driving force is what motivates you to achieve success, but it can also lead to decline if not managed properly.
New Challenges: You need new challenges to maintain your motivation and prevent decline.
π Resources:
- Original post β
- The Most Dangerous Moment: https://www.investopedia.com/terms/m/most-dangerous-moment.asp β
- Driving Force: https://www.investopedia.com/terms/d/driving-force.asp β