Recent submissions

Comment · 16 days ago
The incredible engineering in the hardware is prized above software quality.

For most companies I'd say this is a natural tradeoff, but Apple has so much money that they can actually afford to be world class in both. Or at least, you'd expect they could. Maybe being world class in software would require delays to the hardware side of the business?

Regardless, it's definitely a weakness of the culture and I'd venture that weakness is why Apple has essentially failed at AI.

Comment · 24 days ago
It frustrates me that there's a prisoners dilemma in communicating this to other humans. If I flag it and write it out (as you've done) I've let the author know that they're losing trust and let others know that they should be more skeptical. I've also created the perfect eval data pair for the ai labs. It's deeply frustrating.
Comment · 25 days ago
They did, but first they rebranded them as Max, thus destroying the incredible name value of HBO. It was renamed back to HBO as part of the spinout IIRC.
Comment · 4 months ago
This means that, in practice, it functions more like an agent than a streaming text model. That in turn breaks trajectory analysis which not only makes distillation harder, it also makes it much harder to improve your own harnesses and agents built on top of the model.
Comment · 5 months ago
Foam | Staff Founding Eng | In-Person, San Francisco | Full-time (M-F 9am-7pm) | $300-$400k/yr + equity

Foam is building a Better Sentry on an observability stack purpose-built for AI. We automatically identify and root-cause breakages across systems with zero prompting and zero configuration then DM the engineer responsible, not the git-blamed engineer.

We're looking for a hands on keyboard Staff Founding Engineer who's been unshackled by modern coding agents.

Here's a few of the problems we'd love your help on:

1. Reducing our onboarding time from hours to seconds

2. Scaling our telemetry engine into the petabytes

3. Collapsing our latency from minutes to seconds

4. Beating our intern at chess (ELO 2200)

You'll be joining an incredible team:

1. Ben, Software Engineer Intern, https://www.linkedin.com/in/ben-hung/, beat out dozens of seniors on our coding challenges while holding a 3.9+ GPA in Berkeley EECS and 2200 in Rapid chess

2. Nyx, Founding Research Engineer, https://www.linkedin.com/in/nyx-iskandar/, Prev VP ML@Berkeley, Open AI Launchpad Researcher, Berkeley EECS (2.5yrs w/3.98 GPA)

3. Luke, Co-Founder & COO, https://www.linkedin.com/in/lukemercado/, Fmr CTO & Co-Founder @ Daybreak Health (S20, Series B), self taught SWE (2013), college reject

4. Shawn, Co-Founder & Engineer, https://www.linkedin.com/in/shawn-krisman/, early @ Yelp, Everlane, Reddit, Patreon & Affirm

5. Perla, Co-Founder & CEO, https://www.linkedin.com/in/perla-gamez/, delivered ~$X00M revenue @ Affirm as a SWE, Berkeley CS ('18), Honduras National Karate Champ

We've raised $10M in seed funding from Khosla Ventures, Max Levchin, The House Fund, and South Park Commons and others.

Visas Supported: H1B Transfer, H1B1, TN, E-3, OPT-STEM

Email careers at foam dot ai with your resume and we'll get back to you within 24 hours.

Comment · 9 months ago
That was lovely, thank you for sharing.

It seems the core of the game is correctly understanding the victory function (time to complete refinement of all resources) and then applying bottleneck theory to correctly optimize each stage.

Definitely a joyous little ten minute romp.

Comment · 11 months ago
Comment · 1 year ago
foam.ai | Full Stack Founding Engineer | SF (onsite) | Full Time

At foam we’re building the first telemetry and production system designed for LLMs, giving them complete visibility into and control over running software. Today we’re making money by fixing bugs as they happen, tomorrow we’re the data layer for all production observability tooling.

* We’re a six person team. Perla (CEO) was the 5th engineer in the consumer facing team at Affirm (pre-IPO). Shawn Krisman (CTO) was an early engineer at Yelp, Reddit, Patreon and architect at Affirm (pre-IPO).

* We've raised $8.4M in seed funding from Khosla Ventures, Max Levchin, The House Fund, and South Park Commons

* We’ve got active betas at Perplexity, Orb, Braintrust, Plaid & TogetherAI.

If being #7 is exciting; reach out: send an email to luke -at- foam dot ai with your resume and mention you came from HN

Comment · 1 year ago
> Farm animals grown with their brains shut off, used as compute substrate for biological neural networks, while their biological functions are controlled remotely.

I’m sorry, you were working on what? Where does one learn more about this concept?

Comment · 1 year ago
From first principles I'd expect the functional limit not to be one of power generation but of energy transfer. The limit probably manifests as wiring and motors overheating in a full electric drive (I don't think any subs are...) or as sound, heat and fatigue in reduction gears and gear shafts.
Comment · 2 years ago

  Location: San Francisco, CA, USA
  Remote: Yes, but in-person preferred
  Willing to relocate: No
  Technologies: Python, Ruby, React, Salesforce, TypeScript
  Résumé/CV: https://docs.google.com/document/d/1ux2NKFfinMR_n5d41uge0O2FstDSc-oI/edit?usp=sharing&ouid=110631342450297019344&rtpof=true&sd=true
  Email: [email protected]
I'd be particularly interested about head of eng roles at startups or director of eng at a scale up. After the co-founding experience I'm also curious about moving into product management or sales in some capacity. For the right company I'd do some software engineering.
Comment · 2 years ago
Comment · 3 years ago
Comment · 3 years ago
> It takes a lot of exercise to burn off excess calories, and virtually no effort to simply not consume them.

> and virtually no effort to simply not consume them.

I don't think this is true. The executive function required to manage the dopamine cycle that food generates is incredibly taxing. I honestly think this is a result of our food systems being incredibly optimized to drive purchasing decisions...

Separately, this reminds me that I should eat some veggies.

Comment · 3 years ago
> I don't see how wealth is lost when it is just being redistributed. The workers didn't disappeared, they are just living elsewhere, bringing business opportunities and improving across many different places.

If I'm recalling the theory of it correctly, the whole reason Business Clusters exist (and form) is because there is, essentially, value in being together. Or at least, there's economic value in reducing the logistics required to move goods from one part of the value chain to another. For this reason I don't suspect we'll see the dispersal of manufacturing business clusters.

A huge part of my digging was trying to understand whether this applied to Silicon Valley or not. I decided that it did, but not because of the software, instead it was because of the VC + Startup relationship. VC's want to meet the people they're giving millions of dollars to and startup founders want to meet the people they're giving control (or massive influence) of their company to. It remains to be seen whether Zoom satisfies this need or not.

> Perhaps it will be healthier for the economy as a whole than having only a handful of cities as beacons of investment.

It might. Technology has changed dramatically since we last had material distribution into the suburb and rural areas of the nation. Maybe that will overcome the benefits of centralization.

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