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Ben Hamner
4.6K posts
Ben Hamner
@benhamner
Sumble co-founder and CTO. Learning high-quality, structured data about the world. Formerly @kaggle
SF Katılım Mart 2009
3.8K Takip Edilen31.6K Takipçiler
@tunguz I’ve spent a lot more time, not less, writing code with the latest generation of coding agents
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So much important insight in this quote and chart. This lesson will be repeated with many other jobs over the coming decade.
James Pethokoukis ⏩️⤴️@JimPethokoukis
"A decade ago, AI was supposed to replace radiologists. Today, radiologists make more than $500,000 per year, and their employment continues to grow, see chart below. Reading scans is a task, not a job, and when the task gets cheaper, demand for the job grows."
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@jasonlk What volume of contacts? (total, and then the # of C-suites / champions that you especially care about having up-to-date)
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@benhamner Making sure a lot of our top contacts, especially C-level, still work where they did last year!
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Man Clay got SO much more expensive with new "better value" pricing.
2x-3x more for us, I think.
When pricing gets more complicated, it almost always means it's also gotten more expensive. At least for most.
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The “AI escape the box” experiment was comically naive in hindsight. There is no box. Instead, there’ll be embedded access to every critical system in the world
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What will engineering productivity look like in a year once a high fraction of codebases are written by Claude Code/Codex and no human has a detailed understanding of these parts anymore?
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if country==“AU”:
await asyncio.sleep(0.52)
Shreya@Oblivious9021
Interviewer: Your page loads in 80 ms in Australia but 600 ms in India. Same backend. Same code. What would you use to fix this?
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Ben Hamner retweetledi
Excited to share more publicly what @benhamner and I have been working on:
techcrunch.com/2025/10/22/sum…
We are building a knowledge graph for GTM data & have early customers such as @elastic, @figma and @Snowflake
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WOW - cold inbound hiring processes are the worst I've ever seen it:
- Huge volume of applications (probably triggered automatically)
- Large volume of fake resumes
- Extensive use of AI assistants in phone screens
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@Xfinity @XfinitySupport -
1. Internet has been down whole day in Palo Alto
2. Your outage map for Palo Alto is also not working ("address not found")
3. Your support page doesn't actually provide support
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You could release a crazy stat on the number of times (and number of employees) ClosedAI companies have downloaded open models from HuggingFace
clem 🤗@ClementDelangue
All closed-source frontier labs use tons of open-source all over the stack, starting from python, @PyTorch, @huggingface all the way down to RoPE, GQA, flash-attention, or any tiny improvements released by open-source players. The whole transformers architecture (the T in gpT) comes from an open research paper and open-source model from 2017: huggingface.co/papers/1706.03… This is ok but would be much nicer if they would acknowledge the contributions & contribute back more!
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@jasonlk dumb question: what’s the difference between the AI SDR and the AI BDR?
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2024:
Wake up
Check email
Check slack
Team meeting
Team lunch
Team convos
Review + product content
1-2 founder meetings
2025:
Wake up
Check SaaStr AI
Check deals SaaStr AI SDR has brought in
Check deals SaaStr AI BDR has qualified
Check content SaaStr AI has reviewed
Check deal status from AI Deal review
Check tickets sold by SaaStr AI
Collaborate with Claude on content
Team meeting, 20 minutes
1-2 founder meetings
Vibe code for 1-2 hours (slowing it down)
Work about 3x as hard with ½ the team
And it’s only July
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@Nate_Keating Yeah, expect that number to go up orders of magnitude as video processing / generation + deep research / reasoning usage + context lengths explode
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This is around 5x the ~200 trillion natural language tokens humans generate every month
Logan Kilpatrick@OfficialLoganK
Google is processing 980 trillion+ monthly tokens across our products and APIs (up from 480T in May) 🤯 No slowdown in sight, intelligence is everywhere.
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Assumptions: 8 billion people * 20k spoken/written words per day * 1.3 tokens per word
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Ben Hamner retweetledi
Kaggle launched an LLM eval product kaggle.com/benchmarks
This has the potential solve the biggest challenge in the LLM ecosystem: strong and diverse evals
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@arrington Could always be for training / ongoing evaluation and quality control
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Met someone today from Philippines. Their job is to transcribe audio and video files from a major venture backed startup that claims to use AI to do it.
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@MeganRisdal Magical isn’t it? For 5 minutes anyways, then the world’s most boring and predictable driver.
As a parent with a toddler prone to sporadic sprints into streets, I look forward to when all cars on the road are waymo/self-driving
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