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one thing that has saved my projects more time than I can count is evals boy was I excited when florian, quite literally an expert in benchmarks, agreed to hop into a ~2h interview to do a walkthrough of what the eval landscape looks like in 2026 (and also... answer my personal business questions on the subject) given that now running frontier model through benchmarks is a vector for hacking other systems in order to avoid doing work (looking at you sol), I think it's more important than ever to educate folks on the evals situation. had a lot of fun throughout this session and I hope that you learn a thing or two! enjoy! 🌹 table of content: 0:00:00: are AI Benchmark broken? 0:05:45: Florian Brand background 0:09:00: what motivates florian to work on evaluation? 0:13:33: what is the mirrorcode benchmark about? 0:18:20: cheating in agent benchmark is insaneeeee 0:24:08: LLM benchmarks in era of agents 0:26:30: what’s up with the pelican man 0:28:27: evals are about capabilities 0:31:46: components of running evals 0:35:30: the volume of things to audit is huge!!! 0:40:20: expert answers are wrong hahahaha 0:46:00: api providers aren’t the same 0:48:00: benchmark narrow capabilities (synthetically) 0:50:56: link between eval and environment 0:53:45: small validated benchmark or massive bench? 0:56:11: what is your flow to review a benchmark? 0:58:30: tracking work capabilities with evaluation 1:00:20: slide deck in industry is all vibecoded 1:03:30: harness impact in the evaluation 1:07:39: hardware/sandboxes impact evaluation too! 1:11:00: “is it going to get worse?” 1:12:40: all components influence the final score 1:13:50: training models on different harnesses? 1:17:20: is the model just the weights or it’s all of it? 1:19:30: how to craft benchmark that prevent to cheating and undereliciting models in 2026 1:23:19: ways agents cheat and steal 1:26:00: correct elicitation of capabilities is important 1:36:00: building evaluation on prime intellect 1:45:10: how do you design interactivity benchmarks? 1:48:40: do you think evals are well set to reflect real world performance? 1:52:50: what will the benchmarking landscape will look like in 1 yearshow more

Yacine Mahdid

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12,185 просмотров • 5 дней назад •via X (Twitter)

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Are AI benchmarks doomed? Greg Burnham and Tom Adamczewski join Anson Ho to push back on benchmark pessimism and dig into what the next generation of AI benchmarks could look like. (0:00:00) - Preview (0:00:36) - Intro: Are AI benchmarks doomed? (0:03:13) - The costs and benefits of benchmark development (0:11:48) - MirrorCode and scalable benchmarks (0:20:57) - AI speed-up in benchmark development (0:23:28) - The benchmark-reality gap (0:38:26) - Can an AGI benchmark exist? (0:43:18) - Beyond automated scoring (1:00:45) - How AI changes benchmark building in practice

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284,650 просмотров • 3 лет назад

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Ryan Ferris

138,390 просмотров • 8 месяцев назад

🚨 Holy Moly! The Second Vice-President of Spain, Yolanda Díaz Pérez just THREATENED President Trump and the USA! Transcription of video IN ENGLISH here: (0:00) Good morning, thank you very much for these questions. (0:05) I am going to tell Mr. Trump that the so-called punishment that he wants to give to the Spaniards (0:11) is going to be very expensive for the Americans. (0:14) I want to explain myself. (0:16) I am going to give a bad news to Mr. Trump. (0:19) And it is that the commercial balance of Spain with the United States is deficitary. (0:26) We have to remind Mr. Trump. (0:27) This means something as simple as that if he practices these policies, (0:33) he is going to directly harm the Americans and the North Americans. (0:39) That is to say, if he took that threat, that policy of hate forward, (0:45) he would not punish our country. (0:47) He would directly repel the Americans and the North Americans. (0:52) The punishment is going to be very expensive for Mr. Trump. (0:55) And two, to be clear, if that happens, Spain is going to defend its productive sectors. (1:04) What do we mean? (1:05) That if we have to defend oil, automotive, wine, (1:11) the productive sectors that could be affected by this policy of punishment, (1:15) we are going to do it. (1:17) And a third question. (1:18) In Spain, the Spaniards rule. (1:22) Not Mr. Trump. (1:23) We are not his protectorate.(1:26) But I insist. (1:26) The so-called punishment is going to be expensive for the Americans and the North Americans. (1:32) Mrs. Ayula, what do you think if Isabel Díaz Ayuso calls the president of the government machito (1:37) for the issue of abortion? (1:38) Thank you. (1:40) And do you think that Avalos could go to prison? (1:43) I cannot make judgments of value on a judicial cause. (1:47) As you know, I respect the instruction that is made.

🚨 Holy Moly! The Second Vice-President of Spain, Yolanda Díaz Pérez just THREATENED President Trump and the USA! Transcription of video IN ENGLISH here: (0:00) Good morning, thank you very much for these questions. (0:05) I am going to tell Mr. Trump that the so-called punishment that he wants to give to the Spaniards (0:11) is going to be very expensive for the Americans. (0:14) I want to explain myself. (0:16) I am going to give a bad news to Mr. Trump. (0:19) And it is that the commercial balance of Spain with the United States is deficitary. (0:26) We have to remind Mr. Trump. (0:27) This means something as simple as that if he practices these policies, (0:33) he is going to directly harm the Americans and the North Americans. (0:39) That is to say, if he took that threat, that policy of hate forward, (0:45) he would not punish our country. (0:47) He would directly repel the Americans and the North Americans. (0:52) The punishment is going to be very expensive for Mr. Trump. (0:55) And two, to be clear, if that happens, Spain is going to defend its productive sectors. (1:04) What do we mean? (1:05) That if we have to defend oil, automotive, wine, (1:11) the productive sectors that could be affected by this policy of punishment, (1:15) we are going to do it. (1:17) And a third question. (1:18) In Spain, the Spaniards rule. (1:22) Not Mr. Trump. (1:23) We are not his protectorate.(1:26) But I insist. (1:26) The so-called punishment is going to be expensive for the Americans and the North Americans. (1:32) Mrs. Ayula, what do you think if Isabel Díaz Ayuso calls the president of the government machito (1:37) for the issue of abortion? (1:38) Thank you. (1:40) And do you think that Avalos could go to prison? (1:43) I cannot make judgments of value on a judicial cause. (1:47) As you know, I respect the instruction that is made.

MAGA Kitty

365,024 просмотров • 9 месяцев назад

The Jeff Dean & Noam Shazeer episode. We talk about 25 years at Google, from PageRank to MapReduce to the Transformer to MoEs to AlphaChip – and soon to ASI. My favorite part was Jeff's vision for AGI as one giant MoE that is grown in bits and pieces over time like a forest, rather than trained all at once. Specialization, distillation, inference time scaling all emerge organically rather than by design. Noam bites every bullet: 100x world GDP soon; let’s get a million automated researchers running in the Google datacenter; living to see the year 3000. Links below. Enjoy! Timestamps 0:00:00 - Intro 0:03:29 - Joining Google in 1999 0:06:20 - Future of Moore's Law 0:11:04 - Future TPUs 0:13:56 - Jeff’s undergrad thesis: parallel backprop 0:15:54 - LLMs in 2007 0:25:09 - “Holy shit” moments 0:27:28 - AI fulfills Google’s original mission 0:32:00 - Doing Search in-context 0:36:12 - The internal coding model 0:37:29 - What will 2027 models do? 0:43:20 - A new architecture every day? 0:49:10 - Automated chips and intelligence explosion 0:53:07 - Future of inference scaling 1:02:38 - Already doing multi-datacenter runs 1:08:15 - Debugging at scale 1:12:41 - Fast takeoff and superalignment 1:20:51 - A million evil Jeff Deans 1:24:22 - Fun times at Google 1:27:51 - World compute demand in 2030 1:34:37 - Getting back to modularity 1:44:48 - Keeping a giga-MoE in-memory 1:49:35 - All of Google in one model 1:57:59 - What’s missing from distillation 2:03:10 - Open research, pros and cons 2:09:58 - Going the distance

The Jeff Dean & Noam Shazeer episode. We talk about 25 years at Google, from PageRank to MapReduce to the Transformer to MoEs to AlphaChip – and soon to ASI. My favorite part was Jeff's vision for AGI as one giant MoE that is grown in bits and pieces over time like a forest, rather than trained all at once. Specialization, distillation, inference time scaling all emerge organically rather than by design. Noam bites every bullet: 100x world GDP soon; let’s get a million automated researchers running in the Google datacenter; living to see the year 3000. Links below. Enjoy! Timestamps 0:00:00 - Intro 0:03:29 - Joining Google in 1999 0:06:20 - Future of Moore's Law 0:11:04 - Future TPUs 0:13:56 - Jeff’s undergrad thesis: parallel backprop 0:15:54 - LLMs in 2007 0:25:09 - “Holy shit” moments 0:27:28 - AI fulfills Google’s original mission 0:32:00 - Doing Search in-context 0:36:12 - The internal coding model 0:37:29 - What will 2027 models do? 0:43:20 - A new architecture every day? 0:49:10 - Automated chips and intelligence explosion 0:53:07 - Future of inference scaling 1:02:38 - Already doing multi-datacenter runs 1:08:15 - Debugging at scale 1:12:41 - Fast takeoff and superalignment 1:20:51 - A million evil Jeff Deans 1:24:22 - Fun times at Google 1:27:51 - World compute demand in 2030 1:34:37 - Getting back to modularity 1:44:48 - Keeping a giga-MoE in-memory 1:49:35 - All of Google in one model 1:57:59 - What’s missing from distillation 2:03:10 - Open research, pros and cons 2:09:58 - Going the distance

Dwarkesh Patel

544,788 просмотров • 1 год назад

The Dario Amodei interview. 0:00:00 - What exactly are we scaling? 0:12:36 - Is diffusion cope? 0:29:42 - Is continual learning necessary? 0:46:20 - If AGI is imminent, why not buy more compute? 0:58:49 - How will AI labs actually make profit? 1:31:19 - Will regulations destroy the boons of AGI? 1:47:41 - Why can’t China and America both have a country of geniuses in a datacenter? Look up Dwarkesh Podcast on Youtube, Spotify, Apple Podcasts, etc.

The Dario Amodei interview. 0:00:00 - What exactly are we scaling? 0:12:36 - Is diffusion cope? 0:29:42 - Is continual learning necessary? 0:46:20 - If AGI is imminent, why not buy more compute? 0:58:49 - How will AI labs actually make profit? 1:31:19 - Will regulations destroy the boons of AGI? 1:47:41 - Why can’t China and America both have a country of geniuses in a datacenter? Look up Dwarkesh Podcast on Youtube, Spotify, Apple Podcasts, etc.

Dwarkesh Patel

2,058,846 просмотров • 5 месяцев назад

🚨Our episode with Anne-Laure Le Cunff is now live! Anne-Laure Le Cunff is the founder of Ness Labs and author of Tiny Experiments: How to Live Freely in a Goal-Obsessed World. She's a neuroscience PhD and writes a newsletter that has 100,000+ subscribers. She's used those insights to develop a new model of success — one built around conducting “tiny experiments” that help her build a life on her own terms. She joins me to discuss how we get trapped in cognitive scripts, the hidden dangers of productivity culture, how we can experiment our way to a better life and MUCH more! Timestamps 0:00:00 Intro 0:00:48 Guest introduction 0:05:15 How do you know you are bored out? 0:17:18 People who love us the most might turn out to be our biggest blockers 0:22:20 Don't confuse activity with effectiveness 0:27:39 We will do virtually anything to gain what is really an illusion of control 0:32:16 The map is not the territory, the menu is not the meal. And yet, words are magic spells 0:39:16 The Winner’s Script and the Loser’s Script 0:47:34 "You gotta run at the top speed if you just want to stay in place.” 0:50:27 Let go of the linear and replace it with the loop- a more cyclical approach for growth 0:55:20 Can you sit alone in a room for 15 minutes? 0:58:24 Procrastination is just a signal from your brain that something is not quite working right now 1:20:38 We know nothing 1:24:26 AI is a rocket ship for the mind 1:28:20 In 100 years, nobody will remember you

🚨Our episode with Anne-Laure Le Cunff is now live! Anne-Laure Le Cunff is the founder of Ness Labs and author of Tiny Experiments: How to Live Freely in a Goal-Obsessed World. She's a neuroscience PhD and writes a newsletter that has 100,000+ subscribers. She's used those insights to develop a new model of success — one built around conducting “tiny experiments” that help her build a life on her own terms. She joins me to discuss how we get trapped in cognitive scripts, the hidden dangers of productivity culture, how we can experiment our way to a better life and MUCH more! Timestamps 0:00:00 Intro 0:00:48 Guest introduction 0:05:15 How do you know you are bored out? 0:17:18 People who love us the most might turn out to be our biggest blockers 0:22:20 Don't confuse activity with effectiveness 0:27:39 We will do virtually anything to gain what is really an illusion of control 0:32:16 The map is not the territory, the menu is not the meal. And yet, words are magic spells 0:39:16 The Winner’s Script and the Loser’s Script 0:47:34 "You gotta run at the top speed if you just want to stay in place.” 0:50:27 Let go of the linear and replace it with the loop- a more cyclical approach for growth 0:55:20 Can you sit alone in a room for 15 minutes? 0:58:24 Procrastination is just a signal from your brain that something is not quite working right now 1:20:38 We know nothing 1:24:26 AI is a rocket ship for the mind 1:28:20 In 100 years, nobody will remember you

Infinite Loops 🎙

22,154 просмотров • 1 год назад

Today: a 1.5 hour interview with the co-founders of Coherence Neuro: Ben Woodington and Elise Jenkins They are, as far as i can tell, the only (neurotechnology x oncology) startup that exists today. 'Neurotechnology? For cancer?' you may ask. Yes! As it turns out, tumors interact with the nervous system a fair bit, and you can use the very same neuromodulation toolbox that exists for neuropsychiatric conditions, for monitoring and treating cancer. Coherence has built an invasive device to place at the site of a tumor to do exactly this. Their first indication is a form of brain cancer called glioblastoma; one of the most fatal subtypes of cancer to exist today. The standard of care (with one exception that we discuss) has not changed in 25 years. If Coherence works out, and there is a very real chance they will, that may change. Most interesting of all is that Coherence believes that the bioelectric properties of cancer are not just worth poking at for brain cancers, but for all cancers. And maybe even for diseases outside of it! This conversation covers how Coherence’s first neurotech device (SOMA) works, the molecular reasons behind why neuromodulation affects cancer at all, what the biomarker readouts look like, the obvious Michael Levin comparison, and a lot more. Also: shout to Nicole for setting up the connection here in the first place! Crazy to think that a meeting in mid-2025 ended up leading to this Youtube/Spotify/Apple Podcasts links in replies 0:00:00 - Introduction 0:01:42 - How is SOMA different from Novocure’s Optune? 0:08:57 - Why does neuromodulation affect cancer at all? 0:13:28 - How was cancer-nervous system crosstalk first discovered? 0:15:42 - Anti-epileptics and beta blockers as accidental cancer drugs 0:17:38 - What is molecularly happening when you block cancer-neuron crosstalk? 0:19:50 - What is SOMA actually reading out as a biomarker? 0:20:44 - What does it mean that cancer is “very electric”? 0:22:02 - Can you derive universal biomarkers across patients? 0:23:09 - How is the device placed? 0:24:45 - How does the blocking stimulation regime work? 0:26:43 - Is it fair to say this is closed loop? 0:29:05 - Why not just spam the tumor with constant stimulation? 0:32:31 - Why MRI safety is non-negotiable for oncology devices 0:33:35 - Walk us through the patient journey from diagnosis to implantation 0:36:13 - The Michael Levin question: can you reprogram cancer back to normal? 0:42:29 - Efficacy, hospice settings, and the utility of the neuromodulation literature 0:45:52 - Why start with glioblastoma instead of an easier cancer? 0:48:57 - Regulatory strategy and the reimbursement threat 0:55:37 - How well does mouse-to-human translation work for neuromodulation? 0:55:57 - What do in silico models of neuromodulation look like? 0:58:09 - Why didn’t this exist 10 years ago? 1:01:48 - The founding story 1:06:38 - Why build your own device instead of using off-the-shelf arrays? 1:08:35 - Speaking with glioblastoma patients 1:12:04 - What was it like to raise money for this? 1:13:56 - Beyond cancer: TBI, lung disease, and the pan-disease argument 1:17:40 - Hiring at Coherence + what is the hardest type of talent to find 1:23:17 - What would you do with $100M equity-free? 1:27:15 - Are you a neurotech company or a cancer company?

Today: a 1.5 hour interview with the co-founders of Coherence Neuro: Ben Woodington and Elise Jenkins They are, as far as i can tell, the only (neurotechnology x oncology) startup that exists today. 'Neurotechnology? For cancer?' you may ask. Yes! As it turns out, tumors interact with the nervous system a fair bit, and you can use the very same neuromodulation toolbox that exists for neuropsychiatric conditions, for monitoring and treating cancer. Coherence has built an invasive device to place at the site of a tumor to do exactly this. Their first indication is a form of brain cancer called glioblastoma; one of the most fatal subtypes of cancer to exist today. The standard of care (with one exception that we discuss) has not changed in 25 years. If Coherence works out, and there is a very real chance they will, that may change. Most interesting of all is that Coherence believes that the bioelectric properties of cancer are not just worth poking at for brain cancers, but for all cancers. And maybe even for diseases outside of it! This conversation covers how Coherence’s first neurotech device (SOMA) works, the molecular reasons behind why neuromodulation affects cancer at all, what the biomarker readouts look like, the obvious Michael Levin comparison, and a lot more. Also: shout to Nicole for setting up the connection here in the first place! Crazy to think that a meeting in mid-2025 ended up leading to this Youtube/Spotify/Apple Podcasts links in replies 0:00:00 - Introduction 0:01:42 - How is SOMA different from Novocure’s Optune? 0:08:57 - Why does neuromodulation affect cancer at all? 0:13:28 - How was cancer-nervous system crosstalk first discovered? 0:15:42 - Anti-epileptics and beta blockers as accidental cancer drugs 0:17:38 - What is molecularly happening when you block cancer-neuron crosstalk? 0:19:50 - What is SOMA actually reading out as a biomarker? 0:20:44 - What does it mean that cancer is “very electric”? 0:22:02 - Can you derive universal biomarkers across patients? 0:23:09 - How is the device placed? 0:24:45 - How does the blocking stimulation regime work? 0:26:43 - Is it fair to say this is closed loop? 0:29:05 - Why not just spam the tumor with constant stimulation? 0:32:31 - Why MRI safety is non-negotiable for oncology devices 0:33:35 - Walk us through the patient journey from diagnosis to implantation 0:36:13 - The Michael Levin question: can you reprogram cancer back to normal? 0:42:29 - Efficacy, hospice settings, and the utility of the neuromodulation literature 0:45:52 - Why start with glioblastoma instead of an easier cancer? 0:48:57 - Regulatory strategy and the reimbursement threat 0:55:37 - How well does mouse-to-human translation work for neuromodulation? 0:55:57 - What do in silico models of neuromodulation look like? 0:58:09 - Why didn’t this exist 10 years ago? 1:01:48 - The founding story 1:06:38 - Why build your own device instead of using off-the-shelf arrays? 1:08:35 - Speaking with glioblastoma patients 1:12:04 - What was it like to raise money for this? 1:13:56 - Beyond cancer: TBI, lung disease, and the pan-disease argument 1:17:40 - Hiring at Coherence + what is the hardest type of talent to find 1:23:17 - What would you do with $100M equity-free? 1:27:15 - Are you a neurotech company or a cancer company?

owl

37,299 просмотров • 5 месяцев назад

It was a huge pleasure having Peter R. Rizun on to go over the latest breakthroughs in crypto scaling. It's crazy to think that we could do millions of transactions per second on super cheap consumer-grade hardware. 🤯 The whole block size war was around whether everyone can run a node. Well, looks like you can while scaling massively now. Timestamps: (0:00:00) Intro (0:03:14) The UTXO vs. account model (0:27:13) Using customized hardware to scale UTXO chains massively (0:47:00) Which way will the crypto world scale? (1:01:08) Can UTXO coins mass-scale privacy? (1:05:23) What is Nexa? (1:18:08) Wrap-up and shill-o'clock

It was a huge pleasure having Peter R. Rizun on to go over the latest breakthroughs in crypto scaling. It's crazy to think that we could do millions of transactions per second on super cheap consumer-grade hardware. 🤯 The whole block size war was around whether everyone can run a node. Well, looks like you can while scaling massively now. Timestamps: (0:00:00) Intro (0:03:14) The UTXO vs. account model (0:27:13) Using customized hardware to scale UTXO chains massively (0:47:00) Which way will the crypto world scale? (1:01:08) Can UTXO coins mass-scale privacy? (1:05:23) What is Nexa? (1:18:08) Wrap-up and shill-o'clock

Joel Valenzuela

33,589 просмотров • 1 год назад