Publication profile

Towards AI

“We train AI Engineers. We deploy Enterprise AI. Join 100K+ AI practitioners at Towards AI Academy or reach out for help making your company AI native. towardsai.com”

open to new writers Visit on Medium ↗

Updated Oct 20, 2026

151K
followers
110
stories seen in 14 days
76
different writers
60
median claps per story
42%
stories by writers <100 followers

Should you submit to Towards AI?

Towards AI is larger than 97% of the 356 publications we track, and its stories get more claps than 33% of them. It regularly publishes writers with fewer than 100 followers (42% of recent stories), so it is a realistic target for new writers. 10% of its stories older than three days have no claps yet. 62% of its stories are member-only (Partner Program).

Submission rules change often — always check the publication's own “Write for us” or “About” page before pitching.

Topics

Recent stories in Towards AI

  1. Parallel Coding Agents: What to Delegate First
    by Arjun Patel (35 followers) · 9 claps · Oct 20, 2026
  2. GPT-5.5 vs Kimi vs DeepSeek: Did They Even Take the Same Test?
    by Chew Loong Nian - AI ENGINEER (867 followers) · 1 claps · Oct 20, 2026
  3. What Is the Best Local LLM for Mac in 2026?
    by Anubhav (6K followers) · 64 claps · Oct 20, 2026
  4. Build a Jev-Style Decision Model from an LLM, Part 4: Letting the Backbone Learn, Then Giving It…
    by Divye Singh (68 followers) · 0 claps · Oct 19, 2026
  5. Build a Jev-Style Decision Model from an LLM, Part 3: Training the Jev Head
    by Divye Singh (68 followers) · 0 claps · Oct 19, 2026
  6. Why Google’s Small EmbeddingGemma 2 Model Deserves More Attention
    by Codebook Fusion (167 followers) · 1 claps · Oct 19, 2026
  7. Build a Jev-Style Decision Model from an LLM, Part 2: Opening the Model
    by Divye Singh (68 followers) · 25 claps · Oct 19, 2026
  8. Copilot’s Fabric Token Rates Dropped. On October 1, Consumption Changes Again.
    by Gulab Chand Tejwani (601 followers) · 0 claps · Oct 19, 2026

Based on 110 stories observed across the tags we track; publications may publish additional stories in other tags.