Insane problem solvers (high IQ) who adopt AI
OR
Generalists with lots of knowledge and experience who adopt AI.
Does anyone have an opinion on this?
Insane problem solvers (high IQ) who adopt AI
OR
Generalists with lots of knowledge and experience who adopt AI.
Does anyone have an opinion on this?
(It keeps me and my friends consistent.)
Here’s how it works:
• We all want to wake up before 6am
• We all want to do at least 1 pushup a day
(It keeps me and my friends consistent.)
Here’s how it works:
• We all want to wake up before 6am
• We all want to do at least 1 pushup a day
(You’ve heard it. Maybe even said it.)
But let’s be honest:
This whole “junior vs senior” debate?
It’s noise.
Here’s the truth:
→ Companies hire seniors to build out systems.
That’s it.
And here’s the twist most people miss:
(You’ve heard it. Maybe even said it.)
But let’s be honest:
This whole “junior vs senior” debate?
It’s noise.
Here’s the truth:
→ Companies hire seniors to build out systems.
That’s it.
And here’s the twist most people miss:
But let’s talk about who actually wins when speed becomes the strategy.
Spoiler: It’s not just the company.
It’s the consumer.
(But only when the company gets this one thing right.)
In today's AI-fueled world...
But let’s talk about who actually wins when speed becomes the strategy.
Spoiler: It’s not just the company.
It’s the consumer.
(But only when the company gets this one thing right.)
In today's AI-fueled world...
(This one took me years to unlearn.)
As a software and ML engineer, I was trained to worship efficiency:
No redundant loops.
No repeated code.
Optimize everything.
That mindset served me well — until it didn’t.
Now, with AI eating the world, speed is what matters.
(This one took me years to unlearn.)
As a software and ML engineer, I was trained to worship efficiency:
No redundant loops.
No repeated code.
Optimize everything.
That mindset served me well — until it didn’t.
Now, with AI eating the world, speed is what matters.
🧠 New Models: Opus 4 & Sonnet 4
1️⃣Claude Opus 4:
- Best coding model worldwide (SWE-bench 72.5%, Terminal-bench 43.2%).
- Sustains long tasks and complex workflows over hours.
- Significantly improved memory when given file access.
🧠 New Models: Opus 4 & Sonnet 4
1️⃣Claude Opus 4:
- Best coding model worldwide (SWE-bench 72.5%, Terminal-bench 43.2%).
- Sustains long tasks and complex workflows over hours.
- Significantly improved memory when given file access.
Next stop: Using MCP to log in to my accounts and download them automatically when needed.
All done in a couple of minutes with some prompts and the right tools.
What a time to be alive.
Next stop: Using MCP to log in to my accounts and download them automatically when needed.
All done in a couple of minutes with some prompts and the right tools.
What a time to be alive.
(Highlighting what is currently being used and the results you can expect.)
✅ML-Guided Cyclodextrin Selection for Terpene Biosynthesis
Study: S. Cai et al., J. Agric. Food Chem., 2025
Objective: Improve production and capture of volatile terpenes
(Highlighting what is currently being used and the results you can expect.)
✅ML-Guided Cyclodextrin Selection for Terpene Biosynthesis
Study: S. Cai et al., J. Agric. Food Chem., 2025
Objective: Improve production and capture of volatile terpenes
If you're working with AI, whether in a small project or a large organization, some core technologies remain constant.
Here’s what you should focus on:
If you're working with AI, whether in a small project or a large organization, some core technologies remain constant.
Here’s what you should focus on:
1. XGBoost: Often performs best due to its advanced boosting techniques, handling nonlinear relationships well, and offering high accuracy in predictions.
1. XGBoost: Often performs best due to its advanced boosting techniques, handling nonlinear relationships well, and offering high accuracy in predictions.
Biopharma manufacturers usually wait days for lab tests to confirm if a batch is good. But what if we could predict potency 5 days in advance?
A new study by Bayer Pharmaceuticals uses machine learning to do just that. 🚀
Biopharma manufacturers usually wait days for lab tests to confirm if a batch is good. But what if we could predict potency 5 days in advance?
A new study by Bayer Pharmaceuticals uses machine learning to do just that. 🚀
(Here’s what that looks like.)
Google just launched the AI Co-Scientist.
But it’s not about replacing researchers.
(Here’s what that looks like.)
Google just launched the AI Co-Scientist.
But it’s not about replacing researchers.
(And you could get early access.)
Google’s AI Co-Scientist just beat leading agentic and reasoning models across 15 complex research tasks.
(And you could get early access.)
Google’s AI Co-Scientist just beat leading agentic and reasoning models across 15 complex research tasks.
A virtual research collaborator designed to:
🔬 Generate novel scientific hypotheses
🔬 Debate and refine ideas using self-play and tournaments
🔬 Accelerate biomedical discoveries alongside human experts
A virtual research collaborator designed to:
🔬 Generate novel scientific hypotheses
🔬 Debate and refine ideas using self-play and tournaments
🔬 Accelerate biomedical discoveries alongside human experts
(Clinicians, data scientists, AI researchers—this one's for you.)
Over the past decade, deep learning has revolutionized medical image analysis.
(Clinicians, data scientists, AI researchers—this one's for you.)
Over the past decade, deep learning has revolutionized medical image analysis.
Here are some key trends shaping the future:
Here are some key trends shaping the future:
1️⃣ Visit 👉 Hugging Face Leaderboard huggingface.co/spaces/open-...
2️⃣ Open "Advanced Filters"
3️⃣ Check ✅ "Only Official Providers"
4️⃣ Set the model size slider:
Rule of thumb: 📏 VRAM x 1.5 = Model Size (in B)
1️⃣ Visit 👉 Hugging Face Leaderboard huggingface.co/spaces/open-...
2️⃣ Open "Advanced Filters"
3️⃣ Check ✅ "Only Official Providers"
4️⃣ Set the model size slider:
Rule of thumb: 📏 VRAM x 1.5 = Model Size (in B)
I’ve already built and tested many RAG pipelines, so this feels like the perfect opportunity to put them to the test. ⬇️
I’ve already built and tested many RAG pipelines, so this feels like the perfect opportunity to put them to the test. ⬇️
astrazeneca.wd3.myworkdayjobs.com/Careers/job/...
astrazeneca.wd3.myworkdayjobs.com/Careers/job/...
1️⃣ Visit 👉 Hugging Face Leaderboard huggingface.co/spaces/open-...
2️⃣ Open "Advanced Filters"
3️⃣ Check ✅ "Only Official Providers"
4️⃣ Set the model size slider:
Rule of thumb: 📏 VRAM x 1.5 = Model Size (in B)
1️⃣ Visit 👉 Hugging Face Leaderboard huggingface.co/spaces/open-...
2️⃣ Open "Advanced Filters"
3️⃣ Check ✅ "Only Official Providers"
4️⃣ Set the model size slider:
Rule of thumb: 📏 VRAM x 1.5 = Model Size (in B)