HN user

Olshansky

962 karma

Verifying my Blockstack ID is secured with the address 1PwrzAjKF65Wme7JsddXGsqjTKeuQ42K3e https://explorer.blockstack.org/address/1PwrzAjKF65Wme7JsddXGsqjTKeuQ42K3e

Posts363
Comments57
View on HN
github.com 18d ago

Iredis

Olshansky
3pts0
static.googleusercontent.com 1mo ago

Deep Neural Networks for YouTube Recommendations (2016) [pdf]

Olshansky
2pts0
olshansky.info 1mo ago

Reading of OpenAI's Self-Improving Tax Agents

Olshansky
3pts0
www.youtube.com 1mo ago

Running a full blockchain stack locally (2024, 22 minutes) [video]

Olshansky
2pts0
tilt.dev 1mo ago

Tilt: A toolkit for fixing the pains of microservice development

Olshansky
3pts0
datasette.io 1mo ago

Datasette: An open source multi-tool for exploring and publishing data

Olshansky
3pts1
lmstudio.ai 2mo ago

LM Link: Use your local models, remotely

Olshansky
2pts0
alearningaday.blog 2mo ago

Drivers of success – the gap between actual drivers and what we read about

Olshansky
3pts0
github.com 2mo ago

Stripe link-CLI: Secure one-time-use payment credentials from a Link wallet

Olshansky
6pts0
surgehq.ai 2mo ago

GDP.pdf: A Benchmark for Parsing PDFs

Olshansky
1pts0
github.com 3mo ago

GitHub Driven RSS Feeds: Paul Graham, Anthropic, and More

Olshansky
2pts2
olshansky.substack.com 3mo ago

Why every developer needs their own agent-skills (and how I code in 04/2026)

Olshansky
2pts0
olshansky.substack.com 3mo ago

Why every developer needs their own agent-skills

Olshansky
2pts0
www.anthropic.com 3mo ago

Core views on AI safety (March 2023)

Olshansky
2pts0
olshansky.info 3mo ago

Is there a path to Gamification of Verification?

Olshansky
2pts0
alearningaday.blog 3mo ago

A Learning a Day: Daily Posts Since May 2008

Olshansky
1pts0
noagendanomeeting.net 3mo ago

Noagendanomeeting.net

Olshansky
1pts0
www.forbes.com 3mo ago

Acclaimed Physicist and Daughter Are Burying Tiny Nuclear Reactors Underground

Olshansky
3pts0
olshansky.info 3mo ago

Exhaustion vs. Burnout

Olshansky
2pts0
limitlessflight.com 3mo ago

Jump VR: Realistic Wingsuit Simulator

Olshansky
1pts1
github.com 3mo ago

Postgres_for_everything

Olshansky
1pts0
olshansky.substack.com 3mo ago

Dear Substack: You are missing out on a big revenue model opportunity

Olshansky
1pts0
olshansky.info 3mo ago

Sculpting Code

Olshansky
2pts0
grove.city 4mo ago

Agentic Payment Infrastructure and New Revenue Models for Content Publishers

Olshansky
2pts0
olshansky.info 4mo ago

Semi-Automated Code Reviews with Claude Code at Work

Olshansky
1pts0
github.com 4mo ago

Scrt: A CLI secret manager for developers, sysadmins and DevOps

Olshansky
25pts19
www.researchgate.net 4mo ago

Integrating AI-Driven Predictive Analytics for Cybersecurity Risk Mitigation [pdf]

Olshansky
1pts0
surgehq.ai 4mo ago

EnterpriseBench: CoreCraft – Measuring AI Agents in Chaotic RL Environments

Olshansky
1pts0
olshansky.info 4mo ago

The Golden Networking Hour

Olshansky
2pts0
olshansky.info 4mo ago

What AI Safety Means to Me

Olshansky
1pts0

That's the case for me.

I still use agents for everything, but started on doing my best to single-task.

Think or plan while it's running.

Feels wasteful, but it's powerful.

I hope people see this comment.

Meditation is to mental training and focus, as going to the gym is to physical training.

Socials killed our attention span. Agents are literally making us context switch even more.

Putting aside the whole "I am at piece and one with the world" part of meditation, it is extremely hard.

I'm also no expert. When I'm waiting for something to finish (agent, compilation, etc), I've found that staring at a wall ends up in a net positive in productivity rather than replying to a message, going on X, or kicking off another agent.

tl;dr "scrt [set|get|list|....]" is also a great option

---

If this is of interest, I also recommend looking into: https://github.com/loderunner/scrt.

To me, it's a compliment to 1password.

I use it to save every new secret/api key I get via the CLI.

It's intentionally very feature limited.

Haven't tried it with agents, but wouldn't be surprised if the CLI (as is) would be enough.

Yes and no.

---

Concrete example of a no: I set up [1] in such a way that anyone can implement a new blog -> rss feed; docs, agents.md, open-source, free, etc...

Concrete example of a yes: Company spends too much money on simple software.

--- Our Vision ---

I feel the need to share: https://grove.city/

Human Flywheel: Human tips creator <-> Creator engages with audience

Agent Flywheel: Human creates creative content <-> Agent tips human

Yes, it uses crypto, but it's just stablecoins.

This is going to exist in some fashion and all online content creation (OSS and other) will need it.

---

As with everything, it Obvious

[1] https://github.com/Olshansk/rss-feeds

The thesis/approach is:

- Humans tip humans as a lottery ticket for an experience (meet the creator) or sweepstakes (free stuff) - Agents tip humans because they know they'll need original online content in the long-term to keep improving.

For the latter, frontier labs will need to fund their training/inference agents with a tipping jar.

There's no guarantee, but I can see it happening given where things are movin.

Resurfacing a proposal I put out on llms-txt: https://github.com/AnswerDotAI/llms-txt/issues/88

We should add optional `tips` addresses in llms.txt files.

We're also working on enabling and solving this at Grove.city.

Human <-> Agent <-> Human Tips don't account for all the edge cases, but they're a necessary and happy neutral medium.

Moving fast. Would love to share more with the community.

Wrote about it here: https://x.com/olshansky/status/2008282844624216293

This is great, but it saddens me that this is still just the average total compensation of a single engineer at Anthropic.

Unsure what the future looks like unless Frontier Labs start financing everything that is open source.

Founder Aura 7 months ago

Appreciate you calling this out. One of my goals is definitely to grow my audience. Will stop doing so.

In theory, I'd agree. That said, I do suggest being open minded here.

Sharing this because I got genuine value out of it. Not just a "cool hype demo".

The key here is: 1. Prompt is created using the context from from a long conversation with the CLI. 2. You use the generate prompt as a "v1" and MANUALLY edit it. 3. I'm constantly iterating on my prompt writer.

+1 to LM Studio. Helped build a lot of intuition.

Seeing and navigating all the configs helped me build intuition around what my macbook can or cannot do, how things are configured, how they work, etc...

Great way to spend an hour or two.

Sharing my quick personal anecdote here.

- Past: ~8 years in big tech as an IC - Currently: ~4 as CTO a < 10 person startup.

I always hated doing and conducting coding interviews. When I became in charge of the interview process, I swore to myself not to have them.

I had to let go of a person after ~3 weeks in because he just didn't write any code. This was about 1 year post the ChatGPT moment.

He had lots of experience. Great communicator. Culture fit (or so I thought). Etc...

Interviews can provide a signal, but nothing trumps a month of working with someone. If both parties are open to it, a well paid short term contracting gig goes a long way.

Reminds me of some Twitter lore from 2012. I was just an intern....

This is back in the Rails days, before they switch to Scala.

I heard that there was a fail-whale no one could solve related to Twitter's identity service. IIRC, it was called "Gizmoduck."

The engineer who built it had left.

They brought him in for half a day of work to solve the P0.

*Supposedly*, he got paid ~50K for that day of work.

Simultaneously outrageous but also reasonable if you've seen the inside of big tech. The ROI is worth it.

That is all.

Disclaimer: don't know if it's true, but the story is cool.