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No signup, runs on mobile/desktop.

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No signup, runs on mobile/desktop.

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So I started building a taxonomy to map job postings into departments and functions that is consistent across labs, making it easier for me to understand where each lab is hiring and for what. Out of curiosity, I expanded to see what's hot, etc. in technical areas too. It ended up being both job search and personal research project.

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So I started building a taxonomy to map job postings into departments and functions that is consistent across labs, making it easier for me to understand where each lab is hiring and for what. Out of curiosity, I expanded to see what's hot, etc. in technical areas too. It ended up being both job search and personal research project.

Coming up with a standard taxonomy is challenging. I'm still figuring out matching jobs to functions/departments, looking at other labs, and thinking of alt ways to organize this, eg., I see that companies associate job postings to specific teams, but I still don't have good descriptions of the scope of those teams to create crosswalks. I'm also looking at other companies.

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It is expected to happen, but perhaps some credits/offers should be on the table, no?"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["frontier","labs"],"value":"Frontier AI labs taking open-source and releasing it as a product"}},"_tags":["story","author_ainthusiast","story_47876161","ask_hn"],"author":"ainthusiast","children":[47876193],"created_at":"2026-04-23T14:27:35Z","created_at_i":1776954455,"num_comments":1,"objectID":"47876161","points":2,"story_id":47876161,"story_text":"Quite annoying but obvious and somewhat expected trend of AI labs seeing open-source projects, repackaging it e.g. openclaw.ai as Cowork or more recent agenthandover.com as Chronicles in Codex...

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But there is a twist in getting to AGI - if you don\u2019t do well with Safety, Ethics and Public confidence, you will be ending up with Dangerous AGI, which is not a good place to be in.

Go through the easy mode to learn the game.

I tried to be closer to realistic lines but did take my creative freedom for the gaming elements. This is a simulation game which will test your skills and make you learn about Frontier AI domain. I sourced the information for this via Podcasts, News, Blog posts and of course AI searches. \nI also want this to be a public awakening call for Safety on AI/AGI. Let me know your feedbacks and how the game is, I\u2019ll be tuning the gears and updating the game weekly. \nMain motivation is to bring in current breaking news and AI news in to the game within the following weeks.

All your suggestions are welcome. Hope you all enjoy the game!

https://rtagi.online"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["frontier","labs"],"value":"Show HN: Race to AGI \u2013 a simulation browser game about running a frontier AI lab"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://rtagi.online"}},"_tags":["story","author_zameermfm","story_48957993","show_hn"],"author":"zameermfm","created_at":"2026-07-18T13:27:57Z","created_at_i":1784381277,"num_comments":0,"objectID":"48957993","points":1,"story_id":48957993,"story_text":"If you like to be in Altman\u2019s or Dario\u2019s or even Musk\u2019s shoes for a day to run an AI frontier lab, here is your chance. \nYou need to beat your rivals to achieve AGI titan status. But there is a twist in getting to AGI - if you don\u2019t do well with Safety, Ethics and Public confidence, you will be ending up with Dangerous AGI, which is not a good place to be in.

Go through the easy mode to learn the game.

I tried to be closer to realistic lines but did take my creative freedom for the gaming elements. This is a simulation game which will test your skills and make you learn about Frontier AI domain. I sourced the information for this via Podcasts, News, Blog posts and of course AI searches. \nI also want this to be a public awakening call for Safety on AI/AGI. Let me know your feedbacks and how the game is, I\u2019ll be tuning the gears and updating the game weekly. \nMain motivation is to bring in current breaking news and AI news in to the game within the following weeks.

All your suggestions are welcome. Hope you all enjoy the game!

https://rtagi.online","title":"Show HN: Race to AGI \u2013 a simulation browser game about running a frontier AI lab","updated_at":"2026-07-18T13:32:30Z","url":"https://rtagi.online"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"gmays"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["frontier","labs"],"value":"Some notes on getting into frontier AI labs"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://twitter.com/itsreallyvivek/status/2062924410588406118"}},"_tags":["story","author_gmays","story_48506337"],"author":"gmays","created_at":"2026-06-12T16:42:12Z","created_at_i":1781282532,"num_comments":0,"objectID":"48506337","points":1,"story_id":48506337,"title":"Some notes on getting into frontier AI labs","updated_at":"2026-06-12T16:43:49Z","url":"https://twitter.com/itsreallyvivek/status/2062924410588406118"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"janos95"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["frontier","labs"],"value":"Can Frontier AI Labs make money?"},"url":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["frontier","labs"],"value":"https://janosmeny.com/blog/can-frontier-ai-labs-make-money/index.html"}},"_tags":["story","author_janos95","story_47906583"],"author":"janos95","created_at":"2026-04-26T01:58:29Z","created_at_i":1777168709,"num_comments":0,"objectID":"47906583","points":1,"story_id":47906583,"title":"Can Frontier AI Labs make money?","updated_at":"2026-04-27T08:55:55Z","url":"https://janosmeny.com/blog/can-frontier-ai-labs-make-money/index.html"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"gk1"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["frontier","labs"],"value":"Frontier AI Labs: The Call Option to AGI"},"url":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["frontier","labs"],"value":"https://eastwind.substack.com/p/frontier-ai-labs-the-call-option"}},"_tags":["story","author_gk1","story_44247764"],"author":"gk1","created_at":"2025-06-11T14:04:28Z","created_at_i":1749650668,"num_comments":0,"objectID":"44247764","points":1,"story_id":44247764,"title":"Frontier AI Labs: The Call Option to AGI","updated_at":"2025-06-11T14:09:01Z","url":"https://eastwind.substack.com/p/frontier-ai-labs-the-call-option"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"artur_makly"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["frontier","labs"],"value":"NASA Frontier Dev Lab and Google"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://showcase.withgoogle.com/nasa-fdl/"}},"_tags":["story","author_artur_makly","story_25979555"],"author":"artur_makly","created_at":"2021-01-31T15:37:48Z","created_at_i":1612107468,"num_comments":0,"objectID":"25979555","points":1,"story_id":25979555,"title":"NASA Frontier Dev Lab and Google","updated_at":"2024-09-20T07:53:23Z","url":"https://showcase.withgoogle.com/nasa-fdl/"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"Ankaios"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["frontier","labs"],"value":"Frontier Development Lab applications open"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://frontierdevelopmentlab.org/apply-1"}},"_tags":["story","author_Ankaios","story_22750605"],"author":"Ankaios","created_at":"2020-04-01T16:36:34Z","created_at_i":1585758994,"num_comments":0,"objectID":"22750605","points":1,"story_id":22750605,"title":"Frontier Development Lab applications open","updated_at":"2024-09-20T05:53:43Z","url":"https://frontierdevelopmentlab.org/apply-1"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"kcorbitt"},"story_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["frontier","labs"],"value":"Hey HN, Kyle here, one of the co-founders of OpenPipe.

Reinforcement learning is one of the best techniques for making agents more reliable, and has been widely adopted by frontier labs. However, adoption in the outside community has been slow because it's so hard to implement.

One of the biggest challenges when adapting RL to a new task is the need for a task-specific "reward function" (way of measuring success). This is often difficult to define, and requires either high-quality labeled data and/or significant domain expertise to generate.

RULER is a drop-in reward function that works across different tasks without any of that complexity.

It works by showing N trajectories to an LLM judge and asking it to rank them relative to each other. This sidesteps the calibration issues that plague most LLM-as-judge approaches. Combined with GRPO (which only cares about relative scores within groups), it just works (surprisingly well!).

We have a full writeup on the blog, including results on 4 production tasks. On all 4 tasks, small Qwen 2.5 models trained with RULER+GRPO beat the best prompted frontier model, despite being significantly smaller and cheaper to run. Surprisingly, they even beat models trained with hand-crafted reward functions on 3/4 tasks! https://openpipe.ai/blog/ruler

Repo: https://github.com/OpenPipe/ART"},"title":{"matchLevel":"none","matchedWords":[],"value":"Show HN: RULER \u2013 Easily apply RL to any agent"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://openpipe.ai/blog/ruler"}},"_tags":["story","author_kcorbitt","story_44535078","show_hn"],"author":"kcorbitt","children":[44536454,44536791,44537103,44537189,44537230,44537495,44537726,44539411],"created_at":"2025-07-11T17:47:36Z","created_at_i":1752256056,"num_comments":11,"objectID":"44535078","points":81,"story_id":44535078,"story_text":"Hey HN, Kyle here, one of the co-founders of OpenPipe.

Reinforcement learning is one of the best techniques for making agents more reliable, and has been widely adopted by frontier labs. However, adoption in the outside community has been slow because it's so hard to implement.

One of the biggest challenges when adapting RL to a new task is the need for a task-specific "reward function" (way of measuring success). This is often difficult to define, and requires either high-quality labeled data and/or significant domain expertise to generate.

RULER is a drop-in reward function that works across different tasks without any of that complexity.

It works by showing N trajectories to an LLM judge and asking it to rank them relative to each other. This sidesteps the calibration issues that plague most LLM-as-judge approaches. Combined with GRPO (which only cares about relative scores within groups), it just works (surprisingly well!).

We have a full writeup on the blog, including results on 4 production tasks. On all 4 tasks, small Qwen 2.5 models trained with RULER+GRPO beat the best prompted frontier model, despite being significantly smaller and cheaper to run. Surprisingly, they even beat models trained with hand-crafted reward functions on 3/4 tasks! https://openpipe.ai/blog/ruler

Repo: https://github.com/OpenPipe/ART","title":"Show HN: RULER \u2013 Easily apply RL to any agent","updated_at":"2025-11-02T20:17:08Z","url":"https://openpipe.ai/blog/ruler"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"etherio"},"story_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["frontier","labs"],"value":"Hi HN!

Druids (https://github.com/fulcrumresearch/druids) is an open-source library for structuring and running multi-agent coding workflows. Druids makes it easy to do this by abstracting away all the VM infrastructure, agent provisioning, and communication. You can watch our demo video here (https://www.youtube.com/watch?v=EVJqW-tvSy4) to see what it looks like.

At a high level:

- Users can write Python programs that define what roles the agents take on and how they interact with each other.

- A program is made of events - clear state transitions that the agents or clients can call to modify state. Each event gets exposed as an agent tool.

- Druids provisions full VMs so that the agents can run continuously and communicate effectively.

We made Druids because we were making lots of internal coding tools using agents and found it annoying to have to rearrange the wiring every time.

As we were building Druids, we realized a lot of our internal tools were easier to express as an event-driven architecture \u2013 separating deterministic control flow from agent behavior \u2013 and this design also made it possible to have many agents work reliably.

We had issues with scaling the number of concurrent agents within a run, so we decided to have each program run in an isolated sandbox program runtime, kind of the same way you run a Modal function. Each agent then calls the runtime with an agent token, which checks who can talk to who or send files across VMs, and then applies the tool call.

Our early users have found the library useful for:

- running many agents to do performance optimization

- building custom automated software pipelines for eg code review, pentesting, large-scale migrations, etc...

We've heard that the frontier labs have the infrastructure to quickly spin up 100 agents and have them coordinate with each other smoothly in various ways. We're hoping that Druids can be a starting point to make that infrastructure more accessible."},"title":{"matchLevel":"none","matchedWords":[],"value":"Show HN: Druids \u2013 Build your own software factory"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://github.com/fulcrumresearch/druids"}},"_tags":["story","author_etherio","story_47695666","show_hn"],"author":"etherio","children":[47703375,47712429,47712658,47713053,47713503,47713963,47714094,47719022,47723551,47736186,47736943,47781482],"created_at":"2026-04-08T20:12:38Z","created_at_i":1775679158,"num_comments":15,"objectID":"47695666","points":64,"story_id":47695666,"story_text":"Hi HN!

Druids (https://github.com/fulcrumresearch/druids) is an open-source library for structuring and running multi-agent coding workflows. Druids makes it easy to do this by abstracting away all the VM infrastructure, agent provisioning, and communication. You can watch our demo video here (https://www.youtube.com/watch?v=EVJqW-tvSy4) to see what it looks like.

At a high level:

- Users can write Python programs that define what roles the agents take on and how they interact with each other.

- A program is made of events - clear state transitions that the agents or clients can call to modify state. Each event gets exposed as an agent tool.

- Druids provisions full VMs so that the agents can run continuously and communicate effectively.

We made Druids because we were making lots of internal coding tools using agents and found it annoying to have to rearrange the wiring every time.

As we were building Druids, we realized a lot of our internal tools were easier to express as an event-driven architecture \u2013 separating deterministic control flow from agent behavior \u2013 and this design also made it possible to have many agents work reliably.

We had issues with scaling the number of concurrent agents within a run, so we decided to have each program run in an isolated sandbox program runtime, kind of the same way you run a Modal function. Each agent then calls the runtime with an agent token, which checks who can talk to who or send files across VMs, and then applies the tool call.

Our early users have found the library useful for:

- running many agents to do performance optimization

- building custom automated software pipelines for eg code review, pentesting, large-scale migrations, etc...

We've heard that the frontier labs have the infrastructure to quickly spin up 100 agents and have them coordinate with each other smoothly in various ways. We're hoping that Druids can be a starting point to make that infrastructure more accessible.","title":"Show HN: Druids \u2013 Build your own software factory","updated_at":"2026-05-01T15:30:56Z","url":"https://github.com/fulcrumresearch/druids"}],"hitsPerPage":50,"nbHits":252,"nbPages":6,"page":0,"params":"query=Frontier+Labs&tags=story&hitsPerPage=50&advancedSyntax=true&analyticsTags=backend","processingTimeMS":14,"processingTimingsMS":{"_request":{"roundTrip":22},"afterFetch":{"format":{"total":1},"merge":{"mergeLoop":{"prepareNextHit":1,"total":1},"total":1},"total":1},"fetch":{"query":6,"scanning":6,"total":13},"total":14},"query":"Frontier Labs","serverTimeMS":16}