Into AI Safety Transistor (https://transistor.fm) https://feeds.transistor.fm/intoaisafety The Into AI Safety podcast aims to make it easier for everyone, regardless of background, to get meaningfully involved with the conversations surrounding the rules and regulations which should govern the research, development, deployment, and use of the technologies encompassed by the term "artificial intelligence" or "AI" For better formatted show notes, additional resources, and more, go to https://into-ai-safety.github.io For even more content and community engagement, head over to my Patreon at https://www.patreon.com/IntoAISafety © Kairos.fm no Jacob Haimes Chase Precopia en-us Mon, 30 Dec 2024 17:19:55 -0700 Mon, 30 Dec 2024 17:20:09 -0700 https://kairos.fm/intoaisafety/ https://img.transistor.fm/Dx6WjxGUnscbtCfCV6aiRIOyUf4pu56y9syxIutOKcE/rs:fill:3000:3000:1/q:60/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yOTE5/MTU3M2U5NDAzYjJk/OTcwZTc5NzNkYzE3/ZWFjNC5qcGVn.jpg Into AI Safety https://kairos.fm/intoaisafety/ episodic Jacob Haimes The Into AI Safety podcast aims to make it easier for everyone, regardless of background, to get meaningfully involved with the conversations surrounding the rules and regulations which should govern the research, development, deployment, and use of the technologies encompassed by the term "artificial intelligence" or "AI" For better formatted show notes, additional resources, and more, go to https://into-ai-safety.github.io For even more content and community engagement, head over to my Patreon at https://www.patreon.com/IntoAISafety The Into AI Safety podcast aims to make it easier for everyone, regardless of background, to get meaningfully involved with the conversations surrounding the rules and regulations which should govern the research, development, deployment, and use of the technologies encompassed by the term "artificial intelligence" or "AI" For better formatted show notes, additional resources, and more, go to https://into-ai-safety.github.io For even more content and community engagement, head over to my Patreon at https://www.patreon.com/IntoAISafety. technology, AI, artificial intelligence, machine learning, safety Jacob Haimes listen@kairos.fm No No INTERVIEW: Scaling Democracy w/ (Dr.) Igor Krawczuk 19 19 INTERVIEW: Scaling Democracy w/ (Dr.) Igor Krawczuk full 81c52538-5af2-40aa-abd7-02c08088f43e https://kairos.fm/intoaisafety/e019 The almost Dr. Igor Krawczuk joins me for what is the equivalent of 4 of my previous episodes. We get into all the classics: eugenics, capitalism, philosophical toads... Need I say more?

If you're interested in connecting with Igor, head on over to his website, or check out placeholder for thesis (it isn't published yet).

Because the full show notes have a whopping 115 additional links, I'll highlight some that I think are particularly worthwhile here:

Chapters

  • (02:32) - Introducing Igor
  • (10:11) - Aside on EY, LW, EA, etc., a.k.a. lettersoup
  • (18:30) - Igor on AI alignment
  • (33:06) - "Open Source" in AI
  • (41:20) - The story of infinite riches and suffering
  • (59:11) - On AI threat models
  • (01:09:25) - Representation in AI
  • (01:15:00) - Hazard fishing
  • (01:18:52) - Intelligence and eugenics
  • (01:34:38) - Emergence
  • (01:48:19) - Considering externalities
  • (01:53:33) - The shape of an argument
  • (02:01:39) - More eugenics
  • (02:06:09) - I'm convinced, what now?
  • (02:18:03) - AIxBio (round ??)
  • (02:29:09) - On open release of models
  • (02:40:28) - Data and copyright
  • (02:44:09) - Scientific accessibility and bullshit
  • (02:53:04) - Igor's point of view
  • (02:57:20) - Outro


Links

Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance. All references, including those only mentioned in the extended version of this episode, are included.

]]> The almost Dr. Igor Krawczuk joins me for what is the equivalent of 4 of my previous episodes. We get into all the classics: eugenics, capitalism, philosophical toads... Need I say more?

If you're interested in connecting with Igor, head on over to his website, or check out placeholder for thesis (it isn't published yet).

Because the full show notes have a whopping 115 additional links, I'll highlight some that I think are particularly worthwhile here:

Chapters

  • (02:32) - Introducing Igor
  • (10:11) - Aside on EY, LW, EA, etc., a.k.a. lettersoup
  • (18:30) - Igor on AI alignment
  • (33:06) - "Open Source" in AI
  • (41:20) - The story of infinite riches and suffering
  • (59:11) - On AI threat models
  • (01:09:25) - Representation in AI
  • (01:15:00) - Hazard fishing
  • (01:18:52) - Intelligence and eugenics
  • (01:34:38) - Emergence
  • (01:48:19) - Considering externalities
  • (01:53:33) - The shape of an argument
  • (02:01:39) - More eugenics
  • (02:06:09) - I'm convinced, what now?
  • (02:18:03) - AIxBio (round ??)
  • (02:29:09) - On open release of models
  • (02:40:28) - Data and copyright
  • (02:44:09) - Scientific accessibility and bullshit
  • (02:53:04) - Igor's point of view
  • (02:57:20) - Outro


Links

Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance. All references, including those only mentioned in the extended version of this episode, are included.

]]> Mon, 03 Jun 2024 10:11:00 -0600 Jacob Haimes Jacob Haimes 10726 The almost Dr. Igor Krawczuk joins me for what is the equivalent of 4 of my previous episodes. We get into all the classics: eugenics, capitalism, philosophical toads... Need I say more?

If you're interested in connecting with Igor, head on over to his website, or check out placeholder for thesis (it isn't published yet).

Because the full show notes have a whopping 115 additional links, I'll highlight some that I think are particularly worthwhile here:

Chapters

  • (02:32) - Introducing Igor
  • (10:11) - Aside on EY, LW, EA, etc., a.k.a. lettersoup
  • (18:30) - Igor on AI alignment
  • (33:06) - "Open Source" in AI
  • (41:20) - The story of infinite riches and suffering
  • (59:11) - On AI threat models
  • (01:09:25) - Representation in AI
  • (01:15:00) - Hazard fishing
  • (01:18:52) - Intelligence and eugenics
  • (01:34:38) - Emergence
  • (01:48:19) - Considering externalities
  • (01:53:33) - The shape of an argument
  • (02:01:39) - More eugenics
  • (02:06:09) - I'm convinced, what now?
  • (02:18:03) - AIxBio (round ??)
  • (02:29:09) - On open release of models
  • (02:40:28) - Data and copyright
  • (02:44:09) - Scientific accessibility and bullshit
  • (02:53:04) - Igor's point of view
  • (02:57:20) - Outro


Links

Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance. All references, including those only mentioned in the extended version of this episode, are included.

]]> AI, machine learning, democracy, AI safety Yes Jacob Haimes Chase Precopia Igor Krawczuk INTERVIEW: StakeOut.AI w/ Dr. Peter Park (3) 18 18 INTERVIEW: StakeOut.AI w/ Dr. Peter Park (3) full 0ca91074-f16c-428a-9408-550bfb7ceb4f https://kairos.fm/intoaisafety/e018 As always, the best things come in 3s: dimensions, musketeers, pyramids, and... 3 installments of my interview with Dr. Peter Park, an AI Existential Safety Post-doctoral Fellow working with Dr. Max Tegmark at MIT.

As you may have ascertained from the previous two segments of the interview, Dr. Park cofounded StakeOut.AI along with Harry Luk and one other cofounder whose name has been removed due to requirements of her current position. The non-profit had a simple but important mission: make the adoption of AI technology go well, for humanity, but unfortunately, StakeOut.AI had to dissolve in late February of 2024 because no granter would fund them. Although it certainly is disappointing that the organization is no longer functioning, all three cofounders continue to contribute positively towards improving our world in their current roles.

If you would like to investigate further into Dr. Park's work, view his website, Google Scholar, or follow him on Twitter

00:00:54 ❙ Intro
00:02:41 ❙ Rapid development
00:08:25 ❙ Provable safety, safety factors, & CSAM
00:18:50 ❙ Litigation
00:23:06 ❙ Open/Closed Source
00:38:52 ❙ AIxBio
00:47:50 ❙ Scientific rigor in AI
00:56:22 ❙ AI deception
01:02:45 ❙ No takesies-backsies
01:08:22 ❙ StakeOut.AI's start
01:12:53 ❙ Sustainability & Agency
01:18:21 ❙ "I'm sold, next steps?" -you
01:23:53 ❙ Lessons from the amazing Spiderman
01:33:15 ❙ "I'm ready to switch careers, next steps?" -you
01:40:00 ❙ The most important question
01:41:11 ❙ Outro

Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.

]]> As always, the best things come in 3s: dimensions, musketeers, pyramids, and... 3 installments of my interview with Dr. Peter Park, an AI Existential Safety Post-doctoral Fellow working with Dr. Max Tegmark at MIT.

As you may have ascertained from the previous two segments of the interview, Dr. Park cofounded StakeOut.AI along with Harry Luk and one other cofounder whose name has been removed due to requirements of her current position. The non-profit had a simple but important mission: make the adoption of AI technology go well, for humanity, but unfortunately, StakeOut.AI had to dissolve in late February of 2024 because no granter would fund them. Although it certainly is disappointing that the organization is no longer functioning, all three cofounders continue to contribute positively towards improving our world in their current roles.

If you would like to investigate further into Dr. Park's work, view his website, Google Scholar, or follow him on Twitter

00:00:54 ❙ Intro
00:02:41 ❙ Rapid development
00:08:25 ❙ Provable safety, safety factors, & CSAM
00:18:50 ❙ Litigation
00:23:06 ❙ Open/Closed Source
00:38:52 ❙ AIxBio
00:47:50 ❙ Scientific rigor in AI
00:56:22 ❙ AI deception
01:02:45 ❙ No takesies-backsies
01:08:22 ❙ StakeOut.AI's start
01:12:53 ❙ Sustainability & Agency
01:18:21 ❙ "I'm sold, next steps?" -you
01:23:53 ❙ Lessons from the amazing Spiderman
01:33:15 ❙ "I'm ready to switch careers, next steps?" -you
01:40:00 ❙ The most important question
01:41:11 ❙ Outro

Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.

]]> Mon, 25 Mar 2024 09:00:00 -0600 Jacob Haimes Jacob Haimes 6120 As always, the best things come in 3s: dimensions, musketeers, pyramids, and... 3 installments of my interview with Dr. Peter Park, an AI Existential Safety Post-doctoral Fellow working with Dr. Max Tegmark at MIT.As you may have ascertained from the previous two segments of the interview, Dr. Park cofounded StakeOut.AI along with Harry Luk and one other cofounder whose name has been removed due to requirements of her current position. The non-profit had a simple but important mission: make the adoption of AI technology go well, for humanity, but unfortunately, StakeOut.AI had to dissolve in late February of 2024 because no granter would fund them. Although it certainly is disappointing that the organization is no longer functioning, all three cofounders continue to contribute positively towards improving our world in their current roles.If you would like to investigate further into Dr. Park's work, view his website, Google Scholar, or follow him on Twitter00:00:54 ❙ Intro00:02:41 ❙ Rapid development00:08:25 ❙ Provable safety, safety factors, & CSAM00:18:50 ❙ Litigation00:23:06 ❙ Open/Closed Source00:38:52 ❙ AIxBio00:47:50 ❙ Scientific rigor in AI00:56:22 ❙ AI deception01:02:45 ❙ No takesies-backsies01:08:22 ❙ StakeOut.AI's start01:12:53 ❙ Sustainability & Agency01:18:21 ❙ "I'm sold, next steps?" -you01:23:53 ❙ Lessons from the amazing Spiderman01:33:15 ❙ "I'm ready to switch careers, next steps?" -you01:40:00 ❙ The most important question01:41:11 ❙ OutroLinks to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.StakeOut.AIPause AIAI Governance Scorecard (go to Pg. 3)CIVITAIArticle on CIVITAI and CSAMSenate Hearing: Protecting Children OnlinePBS Newshour CoverageThe Times Sues OpenAI and Microsoft Over A.I. Use of Copyrighted WorkOpen Source/Weights/Release/InterpretationOpen Source InitiativeHistory of the OSIMeta’s LLaMa 2 license is not Open SourceIs Llama 2 open source? No – and perhaps we need a new definition of open…Apache License, Version 2.03Blue1Brown: Neural NetworksOpening up ChatGPT: Tracking openness, transparency, and accountability in instruction-tuned text generatorsThe online tableSignalBloomz model on HuggingFaceMistral websiteNASA TragediesChallenger disaster on WikipediaColumbia disaster on WikipediaAIxBio RiskDual use of artificial-intelligence-powered drug discoveryCan large language models democratize access to dual-use biotechnology?Open-Sourcing Highly Capable Foundation Models (sadly, I can't rename the article...)Propaganda or Science: Open Source AI and Bioterrorism RiskExaggerating the risks (Part 15: Biorisk from LLMs)Will releasing the weights of future large language models grant widespread access to pandemic agents?On the Societal Impact of Open Foundation ModelsPolicy briefApart ResearchScienceCiceroHuman-level play in the game of Diplomacy by combining language models with strategic reasoningCicero webpageAI Deception: A Survey of Examples, Risks, and Potential SolutionsOpen Sourcing the AI Revolution: Framing the debate on open source, artificial intelligence and regulationAI Safety CampInto AI Safety Patreon As always, the best things come in 3s: dimensions, musketeers, pyramids, and... 3 installments of my interview with Dr. Peter Park, an AI Existential Safety Post-doctoral Fellow working with Dr. Max Tegmark at MIT.As you may have ascertained from the prev technology, AI, artificial intelligence, machine learning, safety No Jacob Haimes Chase Precopia Dr. Peter S. Park INTERVIEW: StakeOut.AI w/ Dr. Peter Park (2) 17 17 INTERVIEW: StakeOut.AI w/ Dr. Peter Park (2) full ecb55f43-ac84-4293-b93c-0b9562b236a4 https://kairos.fm/intoaisafety/e017 Join me for round 2 with Dr. Peter Park, an AI Existential Safety Postdoctoral Fellow working with Dr. Max Tegmark at MIT. Dr. Park was a cofounder of StakeOut.AI, a non-profit focused on making AI go well for humans, along with Harry Luk and one other individual, whose name has been removed due to requirements of her current position.

In addition to the normal links, I wanted to include the links to the petitions that Dr. Park mentions during the podcast. Note that the nonprofit which began these petitions, StakeOut.AI, has been dissolved.
Right AI Laws, to Right Our Future: Support Artificial Intelligence Safety Regulations Now
Is Deepfake Illegal? Not Yet! Ban Deepfakes to Protect Your Family & Demand Deepfake Laws
Ban Superintelligence: Stop AI-Driven Human Extinction Risk 

00:00:54 - Intro
00:02:34 - Battleground 1: Copyright
00:06:28 - Battleground 2: Moral Critique of AI Collaborationists
00:08:15 - Rich Sutton
00:20:41 - OpenAI Drama
00:34:28 - Battleground 3: Contract Negotiations for AI Ban Clauses
00:37:57 - Tesla, Autopilot, and FSD
00:40:02 - Recycling
00:47:40 - Battleground 4: New Laws and Policies
00:50:00 - Battleground 5: Whistleblower Protections
00:53:07 - Whistleblowing on Microsoft
00:54:43 - Andrej Karpathy & Exercises in Empathy
01:05:57 - Outro

Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.

]]> Join me for round 2 with Dr. Peter Park, an AI Existential Safety Postdoctoral Fellow working with Dr. Max Tegmark at MIT. Dr. Park was a cofounder of StakeOut.AI, a non-profit focused on making AI go well for humans, along with Harry Luk and one other individual, whose name has been removed due to requirements of her current position.

In addition to the normal links, I wanted to include the links to the petitions that Dr. Park mentions during the podcast. Note that the nonprofit which began these petitions, StakeOut.AI, has been dissolved.
Right AI Laws, to Right Our Future: Support Artificial Intelligence Safety Regulations Now
Is Deepfake Illegal? Not Yet! Ban Deepfakes to Protect Your Family & Demand Deepfake Laws
Ban Superintelligence: Stop AI-Driven Human Extinction Risk 

00:00:54 - Intro
00:02:34 - Battleground 1: Copyright
00:06:28 - Battleground 2: Moral Critique of AI Collaborationists
00:08:15 - Rich Sutton
00:20:41 - OpenAI Drama
00:34:28 - Battleground 3: Contract Negotiations for AI Ban Clauses
00:37:57 - Tesla, Autopilot, and FSD
00:40:02 - Recycling
00:47:40 - Battleground 4: New Laws and Policies
00:50:00 - Battleground 5: Whistleblower Protections
00:53:07 - Whistleblowing on Microsoft
00:54:43 - Andrej Karpathy & Exercises in Empathy
01:05:57 - Outro

Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.

]]> Mon, 18 Mar 2024 09:00:00 -0600 Jacob Haimes Jacob Haimes 3983 Join me for round 2 with Dr. Peter Park, an AI Existential Safety Postdoctoral Fellow working with Dr. Max Tegmark at MIT. Dr. Park was a cofounder of StakeOut.AI, a non-profit focused on making AI go well for humans, along with Harry Luk and one other individual, whose name has been removed due to requirements of her current position.In addition to the normal links, I wanted to include the links to the petitions that Dr. Park mentions during the podcast. Note that the nonprofit which began these petitions, StakeOut.AI, has been dissolved.Right AI Laws, to Right Our Future: Support Artificial Intelligence Safety Regulations NowIs Deepfake Illegal? Not Yet! Ban Deepfakes to Protect Your Family & Demand Deepfake LawsBan Superintelligence: Stop AI-Driven Human Extinction Risk 00:00:54 - Intro00:02:34 - Battleground 1: Copyright00:06:28 - Battleground 2: Moral Critique of AI Collaborationists00:08:15 - Rich Sutton00:20:41 - OpenAI Drama00:34:28 - Battleground 3: Contract Negotiations for AI Ban Clauses00:37:57 - Tesla, Autopilot, and FSD00:40:02 - Recycling00:47:40 - Battleground 4: New Laws and Policies00:50:00 - Battleground 5: Whistleblower Protections00:53:07 - Whistleblowing on Microsoft00:54:43 - Andrej Karpathy & Exercises in Empathy01:05:57 - OutroLinks to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.StakeOut.AIThe Times Sues OpenAI and Microsoft Over A.I. Use of Copyrighted WorkSusman Godfrey LLPRich SuttonReinforcement Learning: An Introduction (textbook)AI Succession (presentation by Rich Sutton)The Alberta Plan for AI Research Moore's LawThe Future of Integrated Electronics (original paper)Computer History Museum's entry on Moore's LawStochastic gradient descent (SGD) on WikipediaOpenAI DramaMax Read's Substack postZvi Mowshowitz's Substack series, in order of postingOpenAI: Facts from a WeekendOpenAI: The Battle of the BoardOpenAI: Altman ReturnsOpenAI: Leaks Confirm the Story ← best singular post in the seriesOpenAI: The Board ExpandsOfficial OpenAI announcementWGA on WikipediaSAG-AFTRA on WikipediaTesla's False AdvertisingTesla's response to the DMV's false-advertising allegations: What took so long?Tesla Tells California DMV that FSD Is Not Capable of Autonomous DrivingWhat to Call Full Self-Driving When It Isn't Full Self-Driving?Tesla fired an employee after he posted driverless tech reviews on YouTubeTesla's page on Autopilot and Full Self-DrivingRecyclingBoulder County Recycling Center Stockpiles Accurately Sorted Recyclable MaterialsOut of sight, out of mindBoulder Eco-Cycle Recycling GuidelinesDivide-and-Conquer Dynamics in AI-Driven DisempowermentMicrosoft WhistleblowerWhistleblowers call out AI's flawsShane's LinkedIn postLetters sent by JonesKarpathy announces departure from OpenAI Join me for round 2 with Dr. Peter Park, an AI Existential Safety Postdoctoral Fellow working with Dr. Max Tegmark at MIT. Dr. Park was a cofounder of StakeOut.AI, a non-profit focused on making AI go well for humans, along with Harry Luk and one other in technology, AI, artificial intelligence, machine learning, safety No Jacob Haimes Chase Precopia Dr. Peter S. Park MINISODE: Restructure Vol. 2 16 16 MINISODE: Restructure Vol. 2 full 6dc7d6e0-46ac-49ce-a60f-fe7c86e3f648 https://kairos.fm/intoaisafety/e016 UPDATE: Contrary to what I say in this episode, I won't be removing any episodes that are already published from the podcast RSS feed.

After getting some advice and reflecting more on my own personal goals, I have decided to shift the direction of the podcast towards accessible content regarding "AI" instead of the show's original focus. I will still be releasing what I am calling research ride-along content to my Patreon, but the show's feed will consist only of content that I aim to make as accessible as possible.

00:35 - TL;DL
01:12 - Advice from Pete
03:10 - My personal goal
05:39 - Reflection on refining my goal
09:08 - Looking forward (logistics

]]> UPDATE: Contrary to what I say in this episode, I won't be removing any episodes that are already published from the podcast RSS feed.

After getting some advice and reflecting more on my own personal goals, I have decided to shift the direction of the podcast towards accessible content regarding "AI" instead of the show's original focus. I will still be releasing what I am calling research ride-along content to my Patreon, but the show's feed will consist only of content that I aim to make as accessible as possible.

00:35 - TL;DL
01:12 - Advice from Pete
03:10 - My personal goal
05:39 - Reflection on refining my goal
09:08 - Looking forward (logistics

]]> Mon, 11 Mar 2024 09:00:00 -0600 Jacob Haimes Jacob Haimes 789 UPDATE: Contrary to what I say in this episode, I won't be removing any episodes that are already published from the podcast RSS feed. After getting some advice and reflecting more on my own personal goals, I have decided to shift the direction of the podcast towards accessible content regarding "AI" instead of the show's original focus. I will still be releasing what I am calling research ride-along content to my Patreon, but the show's feed will consist only of content that I aim to make as accessible as possible. 00:35 - TL;DL01:12 - Advice from Pete03:10 - My personal goal05:39 - Reflection on refining my goal09:08 - Looking forward (logistics UPDATE: Contrary to what I say in this episode, I won't be removing any episodes that are already published from the podcast RSS feed. After getting some advice and reflecting more on my own personal goals, I have decided to shift the direction of the po technology, AI, artificial intelligence, machine learning, safety No Jacob Haimes Chase Precopia INTERVIEW: StakeOut.AI w/ Dr. Peter Park (1) 15 15 INTERVIEW: StakeOut.AI w/ Dr. Peter Park (1) full cd0206b8-6690-44c7-97e3-240c2b082096 https://kairos.fm/intoaisafety/e015 Dr. Peter Park is an AI Existential Safety Postdoctoral Fellow working with Dr. Max Tegmark at MIT. In conjunction with Harry Luk and one other cofounder, he founded ⁠StakeOut.AI, a non-profit focused on making AI go well for humans.

00:54 - Intro
03:15 - Dr. Park, x-risk, and AGI
08:55 - StakeOut.AI
12:05 - Governance scorecard
19:34 - Hollywood webinar
22:02 - Regulations.gov comments
23:48 - Open letters 
26:15 - EU AI Act
35:07 - Effective accelerationism
40:50 - Divide and conquer dynamics
45:40 - AI "art"
53:09 - Outro

Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.

]]> Dr. Peter Park is an AI Existential Safety Postdoctoral Fellow working with Dr. Max Tegmark at MIT. In conjunction with Harry Luk and one other cofounder, he founded ⁠StakeOut.AI, a non-profit focused on making AI go well for humans.

00:54 - Intro
03:15 - Dr. Park, x-risk, and AGI
08:55 - StakeOut.AI
12:05 - Governance scorecard
19:34 - Hollywood webinar
22:02 - Regulations.gov comments
23:48 - Open letters 
26:15 - EU AI Act
35:07 - Effective accelerationism
40:50 - Divide and conquer dynamics
45:40 - AI "art"
53:09 - Outro

Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.

]]> Mon, 04 Mar 2024 09:00:00 -0700 Jacob Haimes Jacob Haimes 3251 Dr. Peter Park is an AI Existential Safety Postdoctoral Fellow working with Dr. Max Tegmark at MIT. In conjunction with Harry Luk and one other cofounder, he founded ⁠StakeOut.AI, a non-profit focused on making AI go well for humans. 00:54 - Intro03:15 - Dr. Park, x-risk, and AGI08:55 - StakeOut.AI12:05 - Governance scorecard19:34 - Hollywood webinar22:02 - Regulations.gov comments23:48 - Open letters 26:15 - EU AI Act35:07 - Effective accelerationism40:50 - Divide and conquer dynamics45:40 - AI "art"53:09 - Outro Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance. StakeOut.AI AI Governance Scorecard (go to Pg. 3) Pause AI Regulations.gov USCO StakeOut.AI Comment OMB StakeOut.AI Comment AI Treaty open letter TAISC Alpaca: A Strong, Replicable Instruction-Following Model References on EU AI Act and Cedric O Tweet from Cedric O EU policymakers enter the last mile for Artificial Intelligence rulebook AI Act: EU Parliament’s legal office gives damning opinion on high-risk classification ‘filters’ EU’s AI Act negotiations hit the brakes over foundation models The EU AI Act needs Foundation Model Regulation BigTech’s Efforts to Derail the AI Act Open Sourcing the AI Revolution: Framing the debate on open source, artificial intelligence and regulation Divide-and-Conquer Dynamics in AI-Driven Disempowerment Dr. Peter Park is an AI Existential Safety Postdoctoral Fellow working with Dr. Max Tegmark at MIT. In conjunction with Harry Luk and one other cofounder, he founded ⁠StakeOut.AI, a non-profit focused on making AI go well for humans. 00:54 - Intro03:15 technology, AI, artificial intelligence, machine learning, safety No Jacob Haimes Chase Precopia Dr. Peter S. Park MINISODE: "LLMs, a Survey" 14 14 MINISODE: "LLMs, a Survey" full 2d7e4db8-5798-4148-9e19-53a5143c4919 https://kairos.fm/intoaisafety/e014 Take a trip with me through the paper Large Language Models, A Survey, published on February 9th of 2024. All figures and tables mentioned throughout the episode can be found on the Into AI Safety podcast website.

00:36 - Intro and authors
01:50 - My takes and paper structure
04:40 - Getting to LLMs
07:27 - Defining LLMs & emergence
12:12 - Overview of PLMs
15:00 - How LLMs are built
18:52 - Limitations if LLMs
23:06 - Uses of LLMs
25:16 - Evaluations and Benchmarks
28:11 - Challenges and future directions
29:21 - Recap & outro

Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.

]]> Take a trip with me through the paper Large Language Models, A Survey, published on February 9th of 2024. All figures and tables mentioned throughout the episode can be found on the Into AI Safety podcast website.

00:36 - Intro and authors
01:50 - My takes and paper structure
04:40 - Getting to LLMs
07:27 - Defining LLMs & emergence
12:12 - Overview of PLMs
15:00 - How LLMs are built
18:52 - Limitations if LLMs
23:06 - Uses of LLMs
25:16 - Evaluations and Benchmarks
28:11 - Challenges and future directions
29:21 - Recap & outro

Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.

]]> Mon, 26 Feb 2024 09:00:00 -0700 Jacob Haimes Jacob Haimes 1855 Take a trip with me through the paper Large Language Models, A Survey, published on February 9th of 2024. All figures and tables mentioned throughout the episode can be found on the Into AI Safety podcast website. 00:36 - Intro and authors01:50 - My takes and paper structure04:40 - Getting to LLMs07:27 - Defining LLMs & emergence12:12 - Overview of PLMs15:00 - How LLMs are built18:52 - Limitations if LLMs23:06 - Uses of LLMs25:16 - Evaluations and Benchmarks28:11 - Challenges and future directions29:21 - Recap & outro Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.Large Language Models, A SurveyMeysam's LinkedIn PostClaude E. ShannonA symbolic analysis of relay and switching circuits (Master's Thesis)Communication theory of secrecy systemsA mathematical theory of communicationPrediction and entropy of printed EnglishFuture ML Systems Will Be Qualitatively DifferentMore Is DifferentSleeper Agents: Training Deceptive LLMs that Persist Through Safety TrainingAre Emergent Abilities of Large Language Models a Mirage?Are Emergent Abilities of Large Language Models just In-Context Learning?Attention is all you needDirect Preference Optimization: Your Language Model is Secretly a Reward ModelKTO: Model Alignment as Prospect Theoretic OptimizationOptimization by Simulated AnnealingMemory and new controls for ChatGPTHallucinations and related concepts—their conceptual background Take a trip with me through the paper Large Language Models, A Survey, published on February 9th of 2024. All figures and tables mentioned throughout the episode can be found on the Into AI Safety podcast website. 00:36 - Intro and authors01:50 - My take technology, AI, artificial intelligence, machine learning, safety No Jacob Haimes Chase Precopia FEEDBACK: Applying for Funding w/ Esben Kran 13 13 FEEDBACK: Applying for Funding w/ Esben Kran full 9c9288c4-d48b-48fa-aec6-b11cc5803619 https://kairos.fm/intoaisafety/e013 Esben reviews an application that I would soon submit for Open Philanthropy's Career Transitition Funding opportunity. Although I didn't end up receiving the funding, I do think that this episode can be a valuable resource for both others and myself when applying for funding in the future.

Head over to Apart Research's website to check out their work, or the Alignment Jam website for information on upcoming hackathons.

A doc-capsule of the application at the time of this recording can be found at this link.

01:38 - Interview starts
05:41 - Proposal
11:00 - Personal statement
14:00 - Budget
21:12 - CV
22:45 - Application questions
34:06 - Funding questions
44:25 - Outro

Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.

]]> Esben reviews an application that I would soon submit for Open Philanthropy's Career Transitition Funding opportunity. Although I didn't end up receiving the funding, I do think that this episode can be a valuable resource for both others and myself when applying for funding in the future.

Head over to Apart Research's website to check out their work, or the Alignment Jam website for information on upcoming hackathons.

A doc-capsule of the application at the time of this recording can be found at this link.

01:38 - Interview starts
05:41 - Proposal
11:00 - Personal statement
14:00 - Budget
21:12 - CV
22:45 - Application questions
34:06 - Funding questions
44:25 - Outro

Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.

]]> Mon, 19 Feb 2024 09:00:00 -0700 Jacob Haimes Jacob Haimes 2713 Esben reviews an application that I would soon submit for Open Philanthropy's Career Transitition Funding opportunity. Although I didn't end up receiving the funding, I do think that this episode can be a valuable resource for both others and myself when applying for funding in the future.Head over to Apart Research's website to check out their work, or the Alignment Jam website for information on upcoming hackathons.A doc-capsule of the application at the time of this recording can be found at this link.01:38 - Interview starts05:41 - Proposal11:00 - Personal statement14:00 - Budget21:12 - CV22:45 - Application questions34:06 - Funding questions44:25 - OutroLinks to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.AI governance talent profiles we’d like to seeThe AI Governance Research SprintReasoning TransparencyPlaces to look for fundingOpen Philanthropy's Career development and transition fundingLong-Term Future FundManifund Esben reviews an application that I would soon submit for Open Philanthropy's Career Transitition Funding opportunity. Although I didn't end up receiving the funding, I do think that this episode can be a valuable resource for both others and myself when technology, AI, artificial intelligence, machine learning, safety No Jacob Haimes Chase Precopia MINISODE: Reading a Research Paper 12 12 MINISODE: Reading a Research Paper full 37fd4eb5-ba2f-419e-aa24-9a1425a69051 https://kairos.fm/intoaisafety/e012 Before I begin with the paper-distillation based minisodes, I figured we would go over best practices for reading research papers. I go through the anatomy of typical papers, and some generally applicable advice.

00:56 - Anatomy of a paper
02:38 - Most common advice
05:24 - Reading sparsity and path
07:30 - Notes and motivation

Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.

]]> Before I begin with the paper-distillation based minisodes, I figured we would go over best practices for reading research papers. I go through the anatomy of typical papers, and some generally applicable advice.

00:56 - Anatomy of a paper
02:38 - Most common advice
05:24 - Reading sparsity and path
07:30 - Notes and motivation

Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.

]]> Mon, 12 Feb 2024 09:00:00 -0700 Jacob Haimes Jacob Haimes 565 Before I begin with the paper-distillation based minisodes, I figured we would go over best practices for reading research papers. I go through the anatomy of typical papers, and some generally applicable advice.00:56 - Anatomy of a paper02:38 - Most common advice05:24 - Reading sparsity and path07:30 - Notes and motivationLinks to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.Ten simple rules for reading a scientific paperBest sources I foundLet's get critical: Reading academic articles#GradHacks: A guide to reading research papersHow to read a scientific paper (presentation)Some more sourcesHow to read a scientific articleHow to read a research paperReading a scientific article Before I begin with the paper-distillation based minisodes, I figured we would go over best practices for reading research papers. I go through the anatomy of typical papers, and some generally applicable advice.00:56 - Anatomy of a paper02:38 - Most comm technology, AI, artificial intelligence, machine learning, safety No Jacob Haimes Chase Precopia HACKATHON: Evals November 2023 (2) 11 11 HACKATHON: Evals November 2023 (2) full 5e003e1c-4e32-487d-905f-9672cc241a26 https://kairos.fm/intoaisafety/e011 Join our hackathon group for the second episode in the Evals November 2023 Hackathon subseries. In this episode, we solidify our goals for the hackathon after some preliminary experimentation and ideation.

Check out Stellaric's website, or follow them on Twitter.

01:53 - Meeting starts
05:05 - Pitch: extension of locked models
23:23 - Pitch: retroactive holdout datasets
34:04 - Preliminary results
37:44 - Next steps
42:55 - Recap

Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.

]]> Join our hackathon group for the second episode in the Evals November 2023 Hackathon subseries. In this episode, we solidify our goals for the hackathon after some preliminary experimentation and ideation.

Check out Stellaric's website, or follow them on Twitter.

01:53 - Meeting starts
05:05 - Pitch: extension of locked models
23:23 - Pitch: retroactive holdout datasets
34:04 - Preliminary results
37:44 - Next steps
42:55 - Recap

Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.

]]> Mon, 05 Feb 2024 09:00:00 -0700 Jacob Haimes Jacob Haimes 2919 Join our hackathon group for the second episode in the Evals November 2023 Hackathon subseries. In this episode, we solidify our goals for the hackathon after some preliminary experimentation and ideation.Check out Stellaric's website, or follow them on Twitter.01:53 - Meeting starts05:05 - Pitch: extension of locked models23:23 - Pitch: retroactive holdout datasets34:04 - Preliminary results37:44 - Next steps42:55 - RecapLinks to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.Evalugator libraryPassword Locked Model blogpostTruthfulQA: Measuring How Models Mimic Human FalsehoodsBLEU: a Method for Automatic Evaluation of Machine TranslationBoolQ: Exploring the Surprising Difficulty of Natural Yes/No QuestionsDetecting Pretraining Data from Large Language Models Join our hackathon group for the second episode in the Evals November 2023 Hackathon subseries. In this episode, we solidify our goals for the hackathon after some preliminary experimentation and ideation.Check out Stellaric's website, or follow them on T technology, AI, artificial intelligence, machine learning, safety No Jacob Haimes Chase Precopia MINISODE: Portfolios 10 10 MINISODE: Portfolios full d42a5525-a155-4891-9cd1-98b1af663463 https://kairos.fm/intoaisafety/e010 I provide my thoughts and recommendations regarding personal professional portfolios.

00:35 - Intro to portfolios
01:42 - Modern portfolios
02:27 - What to include
04:38 - Importance of visual
05:50 - The "About" page
06:25 - Tools
08:12 - Future of "Minisodes"

Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.

]]> I provide my thoughts and recommendations regarding personal professional portfolios.

00:35 - Intro to portfolios
01:42 - Modern portfolios
02:27 - What to include
04:38 - Importance of visual
05:50 - The "About" page
06:25 - Tools
08:12 - Future of "Minisodes"

Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.

]]> Mon, 29 Jan 2024 09:00:00 -0700 Jacob Haimes Jacob Haimes 579 I provide my thoughts and recommendations regarding personal professional portfolios. 00:35 - Intro to portfolios01:42 - Modern portfolios02:27 - What to include04:38 - Importance of visual05:50 - The "About" page06:25 - Tools08:12 - Future of "Minisodes" Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.From Portafoglio to Eportfolio: The Evolution of Portfolio in Higher EducationGIMPAlternativeToJekyllGitHub PagesMinimal MistakesMy portfolio I provide my thoughts and recommendations regarding personal professional portfolios. 00:35 - Intro to portfolios01:42 - Modern portfolios02:27 - What to include04:38 - Importance of visual05:50 - The "About" page06:25 - Tools08:12 - Future of "Minisodes technology, AI, artificial intelligence, machine learning, safety No Jacob Haimes Chase Precopia INTERVIEW: Polysemanticity w/ Dr. Darryl Wright 9 9 INTERVIEW: Polysemanticity w/ Dr. Darryl Wright full f4ca1b13-2c6d-4c18-a458-9131448382b3 https://kairos.fm/intoaisafety/e009 Darryl and I discuss his background, how he became interested in machine learning, and a project we are currently working on investigating the penalization of polysemanticity during the training of neural networks.

Check out a diagram of the decoder task used for our research!

01:46 - Interview begins
02:14 - Supernovae classification
08:58 - Penalizing polysemanticity
20:58 - Our "toy model"
30:06 - Task description
32:47 - Addressing hurdles
39:20 - Lessons learned

Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.

]]> Darryl and I discuss his background, how he became interested in machine learning, and a project we are currently working on investigating the penalization of polysemanticity during the training of neural networks.

Check out a diagram of the decoder task used for our research!

01:46 - Interview begins
02:14 - Supernovae classification
08:58 - Penalizing polysemanticity
20:58 - Our "toy model"
30:06 - Task description
32:47 - Addressing hurdles
39:20 - Lessons learned

Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.

]]> Mon, 22 Jan 2024 09:00:00 -0700 Jacob Haimes Jacob Haimes 2709 Darryl and I discuss his background, how he became interested in machine learning, and a project we are currently working on investigating the penalization of polysemanticity during the training of neural networks. Check out a diagram of the decoder task used for our research! 01:46 - Interview begins02:14 - Supernovae classification08:58 - Penalizing polysemanticity20:58 - Our "toy model"30:06 - Task description32:47 - Addressing hurdles39:20 - Lessons learned Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance. Zooniverse BlueDot Impact AI Safety Support Zoom In: An Introduction to Circuits MNIST dataset on PapersWithCode Clusterability in Neural Networks CIFAR-10 dataset Effective Altruism Global CLIP (blog post) Long Term Future Fund Engineering Monosemanticity in Toy Models Darryl and I discuss his background, how he became interested in machine learning, and a project we are currently working on investigating the penalization of polysemanticity during the training of neural networks. Check out a diagram of the decoder task technology, AI, artificial intelligence, machine learning, safety No Jacob Haimes Chase Precopia MINISODE: Starting a Podcast 8 8 MINISODE: Starting a Podcast full 24d72baa-2a3e-4ae1-8d64-2af3b7cb34bb https://kairos.fm/intoaisafety/e008 A summary and reflections on the path I have taken to get this podcast started, including some resources recommendations for others who want to do something similar.


Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.

]]> A summary and reflections on the path I have taken to get this podcast started, including some resources recommendations for others who want to do something similar.


Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.

]]> Mon, 15 Jan 2024 09:00:00 -0700 Jacob Haimes Jacob Haimes 635 A summary and reflections on the path I have taken to get this podcast started, including some resources recommendations for others who want to do something similar.Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.LessWrongSpotify for PodcastersInto AI Safety podcast websiteEffective Altruism GlobalOpen Broadcaster Software (OBS)CraigRiverside A summary and reflections on the path I have taken to get this podcast started, including some resources recommendations for others who want to do something similar.Links to all articles/papers which are mentioned throughout the episode can be found below technology, AI, artificial intelligence, machine learning, safety No Jacob Haimes Chase Precopia HACKATHON: Evals November 2023 (1) 7 7 HACKATHON: Evals November 2023 (1) full cbde84b2-3937-4512-8d71-fee6c23e2ec6 https://kairos.fm/intoaisafety/e007 This episode kicks off our first subseries, which will consist of recordings taken during my team's meetings for the AlignmentJams Evals Hackathon in November of 2023. Our team won first place, so you'll be listening to the process which, at the end of the day, turned out to be pretty good.


Check out Apart Research, the group that runs the AlignmentJamz Hackathons.


Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.

]]> This episode kicks off our first subseries, which will consist of recordings taken during my team's meetings for the AlignmentJams Evals Hackathon in November of 2023. Our team won first place, so you'll be listening to the process which, at the end of the day, turned out to be pretty good.


Check out Apart Research, the group that runs the AlignmentJamz Hackathons.


Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.

]]> Mon, 08 Jan 2024 09:00:00 -0700 Jacob Haimes Jacob Haimes 4119 This episode kicks off our first subseries, which will consist of recordings taken during my team's meetings for the AlignmentJams Evals Hackathon in November of 2023. Our team won first place, so you'll be listening to the process which, at the end of the day, turned out to be pretty good.Check out Apart Research, the group that runs the AlignmentJamz Hackathons.Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.Generalization Analogies: A Testbed for Generalizing AI Oversight to Hard-To-Measure DomainsNew paper shows truthfulness & instruction-following don't generalize by defaultGeneralization Analogies WebsiteDiscovering Language Model Behaviors with Model-Written EvaluationsModel-Written Evals WebsiteOpenAI Evals GitHubMETR (previously ARC Evals)Goodharting on WikipediaFrom Instructions to Intrinsic Human Values, a Survey of Alignment Goals for Big ModelsFine Tuning Aligned Language Models Compromises Safety Even When Users Do Not IntendShadow Alignment: The Ease of Subverting Safely Aligned Language ModelsWill Releasing the Weights of Future Large Language Models Grant Widespread Access to Pandemic Agents?Building Less Flawed Metrics, Understanding and Creating Better Measurement and Incentive SystemseLeutherAI's Model Evaluation HarnessEvalugator Library This episode kicks off our first subseries, which will consist of recordings taken during my team's meetings for the AlignmentJams Evals Hackathon in November of 2023. Our team won first place, so you'll be listening to the process which, at the end of th technology, AI, artificial intelligence, machine learning, safety No Jacob Haimes Chase Precopia MINISODE: Staying Up-to-Date in AI 6 6 MINISODE: Staying Up-to-Date in AI full affbff67-b344-480f-bdf4-d62c1ee3e82c https://kairos.fm/intoaisafety/e006 In this minisode I give some tips for staying up-to-date in the everchanging landscape of AI. I would like to point out that I am constantly iterating on these strategies, tools, and sources, so it is likely that I will make an update episode in the future.


Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.

]]> In this minisode I give some tips for staying up-to-date in the everchanging landscape of AI. I would like to point out that I am constantly iterating on these strategies, tools, and sources, so it is likely that I will make an update episode in the future.


Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.

]]> Mon, 01 Jan 2024 09:00:00 -0700 Jacob Haimes Jacob Haimes 785 In this minisode I give some tips for staying up-to-date in the everchanging landscape of AI. I would like to point out that I am constantly iterating on these strategies, tools, and sources, so it is likely that I will make an update episode in the future. Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance. ToolsFeedlyarXiv Sanity LiteZoteroAlternativeToMy "Distilled AI" FolderAI Explained YouTube channelAI Safety newsletterData Machina newsletterImport AIMidwit AlignmentHonourable MentionsAI Alignment ForumLessWrongBounded Regret (Jacob Steinhart's blog)Cold Takes (Holden Karnofsky's blog)Chris Olah's blog Tim Dettmers blogEpoch blogApollo Research blog In this minisode I give some tips for staying up-to-date in the everchanging landscape of AI. I would like to point out that I am constantly iterating on these strategies, tools, and sources, so it is likely that I will make an update episode in the futur technology, AI, artificial intelligence, machine learning, safety No Jacob Haimes Chase Precopia INTERVIEW: Applications w/ Alice Rigg 5 5 INTERVIEW: Applications w/ Alice Rigg full b2215bea-18f8-497a-b76f-4bb095c79cf0 https://kairos.fm/intoaisafety/e005 Alice Rigg, a mechanistic interpretability researcher from Ottawa, Canada, joins me to discuss their path and the applications process for research/mentorship programs.

Join the Mech Interp Discord server and attend reading groups at 11:00am on Wednesdays (Mountain Time)!

Check out Alice's website.

Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance. 


]]> Alice Rigg, a mechanistic interpretability researcher from Ottawa, Canada, joins me to discuss their path and the applications process for research/mentorship programs.

Join the Mech Interp Discord server and attend reading groups at 11:00am on Wednesdays (Mountain Time)!

Check out Alice's website.

Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance. 


]]> Mon, 18 Dec 2023 09:00:00 -0700 Jacob Haimes Jacob Haimes 4241 Alice Rigg, a mechanistic interpretability researcher from Ottawa, Canada, joins me to discuss their path and the applications process for research/mentorship programs. Join the Mech Interp Discord server and attend reading groups at 11:00am on Wednesdays (Mountain Time)! Check out Alice's website. Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance. EleutherAI Join the public EleutherAI discord server Distill Effective Altruism (EA) MATS Retrospective Summer 2023 post Ambitious Mechanistic Interpretability AISC research plan by Alice Rigg SPAR Stability AI During their most recent fundraising round, Stability AI had a valuation of $4B (Bloomberg) Mech Interp Discord Server Alice Rigg, a mechanistic interpretability researcher from Ottawa, Canada, joins me to discuss their path and the applications process for research/mentorship programs. Join the Mech Interp Discord server and attend reading groups at 11:00am on Wednesday technology, AI, artificial intelligence, machine learning, safety No Jacob Haimes Chase Precopia MINISODE: Program Applications (Winter 2024) 4 4 MINISODE: Program Applications (Winter 2024) full 2f5c7fd0-e665-4850-a48c-b4d20f05f4af https://kairos.fm/intoaisafety/e004 We're back after a month-long hiatus with a podcast refactor and advice on the applications process for research/mentorship programs.

Check out the About page on the Into AI Safety website for a summary of the logistics updates.

Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance. 

]]> We're back after a month-long hiatus with a podcast refactor and advice on the applications process for research/mentorship programs.

Check out the About page on the Into AI Safety website for a summary of the logistics updates.

Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance. 

]]> Mon, 11 Dec 2023 09:00:00 -0700 Jacob Haimes Jacob Haimes 1085 We're back after a month-long hiatus with a podcast refactor and advice on the applications process for research/mentorship programs. Check out the About page on the Into AI Safety website for a summary of the logistics updates. Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance. MATSASTRA FellowshipARENAAI Safety Camp BlueDot ImpactTech with TimFast.AI's Practical Deep Learning for CodersKaggleAlignmentJamsLessWrongAI Alignment Forum We're back after a month-long hiatus with a podcast refactor and advice on the applications process for research/mentorship programs. Check out the About page on the Into AI Safety website for a summary of the logistics updates. Links to all articles/pa technology, AI, artificial intelligence, machine learning, safety No Jacob Haimes Chase Precopia MINISODE: EAG Takeaways (Boston 2023) 3 3 MINISODE: EAG Takeaways (Boston 2023) full dc2fc55a-dca7-44c6-bf9e-be0c4e9eb971 https://kairos.fm/intoaisafety/e003 This episode is a brief overview of the major takeaways I had from attending EAG Boston 2023, and an update on my plans for the podcast moving forward.

TL;DL

  • Starting in early December (2023), I will be uploading episodes on a biweekly basis (day TBD).
  • I won't be releasing another episode until then, so that I can build a cache of episodes up.
  • During this month (November 2023), I'll also try to get the podcast up on more platforms, set up comments on more platforms, and create an anonymous feedback form.

Links Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance. 

Like the show? Think it could be improved? Fill out this anonymous feedback form to let me know!

Please email all inquiries to intoaisafety@gmail.com.

]]> This episode is a brief overview of the major takeaways I had from attending EAG Boston 2023, and an update on my plans for the podcast moving forward.

TL;DL

  • Starting in early December (2023), I will be uploading episodes on a biweekly basis (day TBD).
  • I won't be releasing another episode until then, so that I can build a cache of episodes up.
  • During this month (November 2023), I'll also try to get the podcast up on more platforms, set up comments on more platforms, and create an anonymous feedback form.

Links Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance. 

Like the show? Think it could be improved? Fill out this anonymous feedback form to let me know!

Please email all inquiries to intoaisafety@gmail.com.

]]> Mon, 04 Dec 2023 09:00:00 -0700 Jacob Haimes Jacob Haimes 577 This episode is a brief overview of the major takeaways I had from attending EAG Boston 2023, and an update on my plans for the podcast moving forward. TL;DL Starting in early December (2023), I will be uploading episodes on a biweekly basis (day TBD).I won't be releasing another episode until then, so that I can build a cache of episodes up.During this month (November 2023), I'll also try to get the podcast up on more platforms, set up comments on more platforms, and create an anonymous feedback form. Links Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance. How to generate research proposalsKarolina Sarek: How to do research that mattersWill releasing the weights of future large language models grant widespread access to pandemic agents? Like the show? Think it could be improved? Fill out this anonymous feedback form to let me know! Please email all inquiries to intoaisafety@gmail.com. This episode is a brief overview of the major takeaways I had from attending EAG Boston 2023, and an update on my plans for the podcast moving forward. TL;DL Starting in early December (2023), I will be uploading episodes on a biweekly basis (day TBD).I technology, AI, artificial intelligence, machine learning, safety No Jacob Haimes FEEDBACK: AISC Proposal w/ Remmelt Ellen 2 2 FEEDBACK: AISC Proposal w/ Remmelt Ellen full 084356f7-066c-49d9-b8d9-a45f7162f138 https://kairos.fm/intoaisafety/e002 In this episode I discuss my initial research proposal for the 2024 Winter AI Safety Camp with one of the individuals who helps facilitate the program, Remmelt Ellen.

The proposal is titled The Effect of Machine Learning on Bioengineered Pandemic Risk. A doc-capsule of the proposal at the time of this recording can be found at this link.

Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance. 

]]> In this episode I discuss my initial research proposal for the 2024 Winter AI Safety Camp with one of the individuals who helps facilitate the program, Remmelt Ellen.

The proposal is titled The Effect of Machine Learning on Bioengineered Pandemic Risk. A doc-capsule of the proposal at the time of this recording can be found at this link.

Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance. 

]]> Mon, 27 Nov 2023 09:00:00 -0700 Jacob Haimes Jacob Haimes 3398 In this episode I discuss my initial research proposal for the 2024 Winter AI Safety Camp with one of the individuals who helps facilitate the program, Remmelt Ellen. The proposal is titled The Effect of Machine Learning on Bioengineered Pandemic Risk. A doc-capsule of the proposal at the time of this recording can be found at this link. Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance. MegaSyn: Integrating Generative Molecule Design, Automated Analog Designer and Synthetic Viability PredictionDual use of artificial-intelligence-powered drug discoveryArtificial intelligence and biological misuse: Differentiating risks of language models and biological design toolsModel Organisms of Misalignment: The Case for a New Pillar of Alignment ResearchShadow Alignment: The Ease of Subverting Safely-Aligned Language ModelsFine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!unRLHF - Efficiently undoing LLM safeguards In this episode I discuss my initial research proposal for the 2024 Winter AI Safety Camp with one of the individuals who helps facilitate the program, Remmelt Ellen. The proposal is titled The Effect of Machine Learning on Bioengineered Pandemic Risk. A technology, AI, artificial intelligence, machine learning, safety No Jacob Haimes MINISODE: Introduction and Motivation 1 1 MINISODE: Introduction and Motivation full 4a709b26-c999-4113-b23f-daeac781b2df https://kairos.fm/intoaisafety/e001 Welcome to the Into AI Safety podcast! In this episode I provide reasoning for why I am starting this podcast, what I am trying to accomplish with it, and a little bit of background on how I got here.

Please email all inquiries and suggestions to intoaisafety@gmail.com.

]]> Welcome to the Into AI Safety podcast! In this episode I provide reasoning for why I am starting this podcast, what I am trying to accomplish with it, and a little bit of background on how I got here.

Please email all inquiries and suggestions to intoaisafety@gmail.com.

]]> Mon, 13 Nov 2023 09:00:00 -0700 Jacob Haimes Jacob Haimes 583 Welcome to the Into AI Safety podcast! In this episode I provide reasoning for why I am starting this podcast, what I am trying to accomplish with it, and a little bit of background on how I got here.

Please email all inquiries and suggestions to intoaisafety@gmail.com.

]]> technology, AI, artificial intelligence, machine learning, safety No Jacob Haimes