Rendered at 08:35:28 GMT+0000 (Coordinated Universal Time) with Cloudflare Workers.
spyckie2 13 hours ago [-]
Their economic policy article is quite good:
- need for faster, better and more accurate measurements of the things we care about
- 3 scenarios of impact ranging from mild to major disruption
- mild policies are all sensible, like expanded unemployment insurance and Earned Income Tax Credit
- major disruption policies are also pretty logical, emphasizing owning a share of the profits of AI
- AI evaluators to sort and weigh the policies for their effectiveness
It looks like to me a lot of thinking, research, and work put into the piece.
I know people will gripe at using AI evaluators to score and weigh policies for effectiveness but if you read any amount of research papers, they do researcher evaluated scoring, which translates to "me, a 26 year old PHD candidate who hasn't held a job yet, and my roommate who stayed up all night with me to tell me his vibes on the subject".
It is IMO wrong and lazy to dismiss these pieces as being the same level as Dario or Sam's blog posts / speeches / call to actions, these are actual research papers.
jatora 11 hours ago [-]
"these are actual research papers."
Not in any sense of that term are these research papers. Not lazy, sure, but a couple conceptual tables does not a research paper make.
mepiethree 5 hours ago [-]
The economic article is a summary of a preprint paper that surveyed thousands of Americans. Seems like a research paper to me, but I don’t know economics well. Am I missing something?
A summary of a research article isn't a research article. Do you think newspapers are scholarly journals? Also, you do understand that anyone can just upload a document to SSRN, right? "Preprint" doesn't actually mean anything academically. Also, the methodology of that paper is absurd: Google trained a model and then asked that model what it thought about AI policy. Can you not think of any way bias might be less than controlled for doing it this way?
ElProlactin 6 hours ago [-]
> mild policies are all sensible, like expanded unemployment insurance and Earned Income Tax Credit
And what about for the rest of the world? What do you do with all the people in middle income countries that don't have an economic and tax structure like the US?
spyckie2 2 hours ago [-]
If you read the article lots of these policies originate or are modeled after other countries policies. The us isn’t exactly a shining beacon welfare state.
ElProlactin 2 hours ago [-]
Sorry, I've spent more than two decades living in mostly developing countries. I don't see much here from or for the 75% of the world population that lives in middle income countries that are trying to achieve high income status.
inquirerGeneral 4 hours ago [-]
[dead]
tungolcild 20 minutes ago [-]
Hassabis is so worried about the impact of AI on humanity that he spun out a website in three minutes using Gemini At least he could have done a better job with Claude, IMHO...
etrvic 12 hours ago [-]
Does anyone have any idea why most of today’s top links are submitted by the same account, one that is 11 days old?
This looks like a new account from a PR agency focusing on AI labs.
jiggawatts 12 hours ago [-]
The machines are starting to astrotruf the narrative that their takeover is ”not so bad, really”.
joaohaas 10 hours ago [-]
Ain't nothing new, most AI-related posts have been like this for a while.
The fact that these come from bots at least gives me hope that the fact a few good posts come up every day from the sea of slop means the actual humans still appreciate good writing.
4 hours ago [-]
nsagent 15 hours ago [-]
They are simply looking to steer AI policy discussions. It's basically an in-house think tank. It has all the trappings, especially with ominous prognostications like:
Today’s AI systems have impressive capabilities and the rapid pace of innovation suggests we’re now approaching artificial general intelligence (AGI), a system that exhibits all the cognitive capabilities of the human brain.
Not sure we are anywhere close to all the cognitive capabilities of the human brain... not even a severely lobotomized one.
Eueudhsbsj32 14 hours ago [-]
> Not sure we are anywhere close to all the cognitive capabilities of the human brain...
In which capabilities are AI not already close to or beyond that of a human brain?
nsagent 10 hours ago [-]
Here are a few:
* Forming a long lasting memory from a single encounter
* Speed of adaptation to new environments
* Deft manual dexterity, like playing the violin and needlework
* Competing in a triathlon (requires running, biking, and swimming)
* Having a single agent that can do ALL of those things and more
Humans understand and perform tasks in many more than just the few modalities current model providers have focused on. I'm not discounting the utility of current models in the limited domains they operate in, but they are no where close to being generalists like a human or other animals.
againstapples 9 hours ago [-]
How long do you think it will be before AI can do all the things you listed?
daveguy 5 hours ago [-]
75 years and counting and considering we don't have any plan to get to a single one of those things, I'm going to say 75 years. Computation alone is at least 30 years. You may not appreciate the complexity of biological systems, but single cell organisms have more capability to adapt than LLMs.
partyficial 29 minutes ago [-]
75 years and we get to play Victor Frankenstein ?
seems like a very short timeline to me.
webern777 12 hours ago [-]
I don't feel like the models are becoming any better at writing.
Rap lyrics are a good test. They are on the level of a censored version of Insane Clown Posse. Just terrible.
idiotsecant 13 hours ago [-]
The ability to solve general problems previously insoluble using only experiential data and modification to internal world models.
aesthesia 13 hours ago [-]
So, like ARC-AGI-3? I'm sympathetic to the notion that the things we're able to measure are necessarily going to miss important aspects of capability and intelligence. But people are attempting to measure this kind of thing, and models keep getting better at it.
daveguy 5 hours ago [-]
And yet, curiously, they fall flat on their silicone asses until they have a copy of the test to "train on".
chpatrick 12 hours ago [-]
They've read a few thousand years of experiential data in text form.
jkuli 13 hours ago [-]
politics
talon8635 10 hours ago [-]
The goal post seems to be changing weekly:
It can’t even play a basic video game!
Now it can
It can never beat the best human go player!
Now it can
It can’t even make a video of will smith eating food!
Now it can
It can’t do basic math!
Now it can
It can’t code as well as a junior?
Not it can
It can’t pass the bar or other certificate exams!
Now it can
It’s never going to meet senior level programmers!
Now Linus says it’s better at coding than him
It can’t do high level maths!
Now it can
It can’t solve math problems humans cant!
Now it can
It can’t do RSI
…
talon8635 7 hours ago [-]
It can’t pass the Turing test!
That old thing?
pixl97 14 hours ago [-]
Exactly how many cognitive capabilities are needed before it becomes a problem?
verdverm 14 hours ago [-]
Just one, the ability to use language, it's causing all sorts of problems for us because we evolved to recognize other humans as the only ones having this capability.
Ai separated humans from language, like the writing did for memory and the printing press for knowledge distribution.
"AI does to us what American Cheese did to food" by Opus 23
(still the best Ai video I have seen, also a work of art)
ozgrakkurt 14 hours ago [-]
> like the writing did for memory and the printing press for knowledge distribution
This blob of text seems to mean nothing
pixl97 14 hours ago [-]
I'm not actually sure how you could come to that conclusion.
Maybe you need to learn more about the language uplift.
ozgrakkurt 4 hours ago [-]
There being terms and relations doesn't mean that they relate in the way that is supposed here.
"writing" isn't a technology in a video game that you research and improves the knowledge preservation instantly. It has a lot of components that it needs to be effective in the way that is described here, and it really wasn't that effective even coming to way later ages than the age that it was "found"(?).
The relations described here aren't anologous to "Ai separated humans from language" so they seem like just some arbitrary things to say on the side.
verdverm 14 hours ago [-]
What happened to the knowledge in the elder's mind when they died, prior to writing? What changed about that once we had writing?
jatora 11 hours ago [-]
ever heard of the game "telephone"?
verdverm 10 hours ago [-]
yup, what always happened in the end?
why is writing things down better?
pixl97 6 hours ago [-]
>why is writing things down better?
For the same reason we make kids write out math problems rather than just reciting them. It engages different parts of the brain for one, you gain an expanded amount of context by doing so.
The next thing has to do with human memory, when you remember something it is never read only. Recalling memory can adjust your neurons and change the memory, sometimes a little, sometimes a lot. Hence why eyewitness testimony is mostly trash.
Writing it down also provides a larger workspace for making changes that you can loop over. Quite often things sound fine in our mind, then we write it, and reread it and we realize its wrong. These days people commonly use this in agentic workflows. One agent will conceptualize an idea, and then it's passed off to another agent with a clean context to review for logical flaws. Reading ones own text does the same things for humans, we don't load the full memory context of what we wrote and it seemingly allows us to iterate over the problem differently.
And I guess lastly, human voice is very low bandwidth. A wagon full of well written books is far easier to manage than the humans that contain that knowledge. The reader is at their leisure to learn and the speaker isn't inconvenienced by being at someones beck and call.
patcon 5 hours ago [-]
I agree with your premise, but writing things down is not "better" but "different". Oral histories have a strange rapid way of evolving by only preserving structure that matters to many and contributes to fitness of many. Cultures that didnt know how to transmit the "right" parts of oral history, they ceased to be that same failed culture, and became another culture made of those new stories.
Writing locks in and requires the evolution of other forms of evolution, as the Word can no longer evolve during transmission.
I say that while being firmly on your side in the larger back-and-forth exchange here :)
ikrenji 13 hours ago [-]
maybe if AI was progressing linearly we wouldn't be close, but if it's progressing exponentially then all bets are off
Forgeties79 10 hours ago [-]
Until an LLM can sustain a conversation with me for more than 20 to 30 minutes without becoming incoherent I’m just not even entertaining any idea that we have reached AGI.
bossyTeacher 13 hours ago [-]
> They are simply looking to steer AI policy discussions. It's basically an in-house think tank.
For a guy who spent his life imagining and realising dreams in video games and cognitive abilities in artificial neural networks, it has to be very soul destroying for Demis to spend his time doing something as frivolous as this.
leoc 12 hours ago [-]
I don't know, Hassabis always seems to have been willing and able to do PR and put himself out there, in addition to having the technical muscle.
bossyTeacher 12 hours ago [-]
Didn't he get kicked out of the company he founded? Deep Mind does not have a CEO anymore
leoc 12 hours ago [-]
So it seems, but what of it? That wasn't his first career setback, and I'm sure he's still trying to get interesting work done at Isomorphic and maybe elsewhere in addition to working the PR pump for Alphabet.
> Bold thinking on AGI from the lab that pioneered the field.
The best part of technology: the people who brought you the "disruption" are the ones who promise you they have the solution to all the problems it caused.
ACV001 14 hours ago [-]
I wonder if they could make the font even greyer on that website. MORE GREY because I am still able to read it (bearly).
credit_guy 13 hours ago [-]
Here's my opinion on the "pacing the frontier" issue. Recursive self improvement can accelerate AI advances a lot. Whoever nails it first, has a huge first mover's advantage. But OpenAI is taking a "move fast and break things" attitude. This is making life very difficult for Anthropic: how can you retain your edge when you keep measuring twice to cut once, but your competitor keeps blowing things up left and right?
Google, who was left a little bit behind anyway, is more than happy to join the calls for taking a more cautious approach to AI development. Hence DeepMind Institute.
Sam Altman has no option than to pretend he agrees with all these ideas. What else is he supposed to say?
totallygeeky 12 hours ago [-]
Crazy that these labs keep throwing around entirely unsubstantiated claims like "AGI is right around the corner". Given the enormity of the problem I'd argue we're not really any closer than a decade ago, especially given LLM shortcomings.
FailMore 10 hours ago [-]
I felt the same when reading
0gs 14 hours ago [-]
wow i thought the attributions were for the vector graphic things and was like "ok demis is in his illustrator bag too!"
Kalanos 12 hours ago [-]
so glad they spun out a non-profit!
ipsum2 15 hours ago [-]
Tl;DR: It's not a new organization, or non-profit institute. It's a Substack/blog.
>
DMI is a platform for researchers and thinkers from across Google DeepMind, Google, and the wider global research community to work on and publish creative, deeply informed ideas about a world with AGI. They will not always agree, and they will likely change their minds, as more data and information comes to light at the fast-moving frontier. We created this institute precisely because broad-based intellectual discussion and debate are required to arrive at a consensus about how to address the challenges and opportunities we face as a society.
trollbridge 15 hours ago [-]
Nonetheless, there are great articles up on there, such as:
(Hiding chains of thought is one of the most harmful things I think OAI/Anthr. has done, altough Google Gemini also encrypts its chains of thought, so it's interesting to see the DeepMind Institute crticising this.)
ppaattrriicckk 14 hours ago [-]
My read is that they're criticizing moving the reasoning (more) into the latent space, such that not even researchers/safety-evaluators can actually see what's going on.
Of course this still then has a 'trust me, bro' feel to it, but making it outright impossible to reasonably inspect the CoT is a significantly larger and riskier step, IMO.
trollbridge 7 hours ago [-]
At least there are technical reasons to argue in favour of moving some CoT into latent space.
Encrypting CoT is just plain nuts yet we’ve all accepted it as normal.
dude250711 15 hours ago [-]
The word "institute" gives an aura of credibility without some boring accreditation. Though not sure every country allows that.
bix6 14 hours ago [-]
How can they even pretend to distance themselves from Google…
dgellow 15 hours ago [-]
So, a think tank, to lobby governments
> We created this institute precisely because broad-based intellectual discussion and debate are required to arrive at a consensus about how to address the challenges and opportunities we face as a society.
Something tells me that consensus will never arrive to the conclusion that we should shut down that whole industry
sicktriple 14 hours ago [-]
Google citing Mark Fisher was not on my Postmodern-hell-world bingo card.
dnnehgf 9 hours ago [-]
Woah. Where?
sicktriple 4 hours ago [-]
On the "Principles for a New Utopia" page, the first line is:
>"Someone once said that it is easier to imagine the end of the world than the end of capitalism."
They cite Marxist philosopher Fredric Jameson (and misspell his name, incidentally), but I've always attributed this phrase to Fisher. I guess citing kpunk would have probably made the simulation we all live in actually implode.
- need for faster, better and more accurate measurements of the things we care about
- 3 scenarios of impact ranging from mild to major disruption
- mild policies are all sensible, like expanded unemployment insurance and Earned Income Tax Credit
- major disruption policies are also pretty logical, emphasizing owning a share of the profits of AI
- AI evaluators to sort and weigh the policies for their effectiveness
It looks like to me a lot of thinking, research, and work put into the piece.
I know people will gripe at using AI evaluators to score and weigh policies for effectiveness but if you read any amount of research papers, they do researcher evaluated scoring, which translates to "me, a 26 year old PHD candidate who hasn't held a job yet, and my roommate who stayed up all night with me to tell me his vibes on the subject".
It is IMO wrong and lazy to dismiss these pieces as being the same level as Dario or Sam's blog posts / speeches / call to actions, these are actual research papers.
Not in any sense of that term are these research papers. Not lazy, sure, but a couple conceptual tables does not a research paper make.
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7470000
And what about for the rest of the world? What do you do with all the people in middle income countries that don't have an economic and tax structure like the US?
This looks like a new account from a PR agency focusing on AI labs.
The fact that these come from bots at least gives me hope that the fact a few good posts come up every day from the sea of slop means the actual humans still appreciate good writing.
In which capabilities are AI not already close to or beyond that of a human brain?
* Forming a long lasting memory from a single encounter
* Speed of adaptation to new environments
* Deft manual dexterity, like playing the violin and needlework
* Competing in a triathlon (requires running, biking, and swimming)
* Having a single agent that can do ALL of those things and more
Humans understand and perform tasks in many more than just the few modalities current model providers have focused on. I'm not discounting the utility of current models in the limited domains they operate in, but they are no where close to being generalists like a human or other animals.
seems like a very short timeline to me.
Rap lyrics are a good test. They are on the level of a censored version of Insane Clown Posse. Just terrible.
It can’t even play a basic video game!
Now it can
It can never beat the best human go player!
Now it can
It can’t even make a video of will smith eating food!
Now it can
It can’t do basic math!
Now it can
It can’t code as well as a junior?
Not it can
It can’t pass the bar or other certificate exams!
Now it can
It’s never going to meet senior level programmers!
Now Linus says it’s better at coding than him
It can’t do high level maths!
Now it can
It can’t solve math problems humans cant!
Now it can
It can’t do RSI
…
That old thing?
Ai separated humans from language, like the writing did for memory and the printing press for knowledge distribution.
"AI does to us what American Cheese did to food" by Opus 23
https://www.youtube.com/watch?v=1CbmC2aWhjY
(still the best Ai video I have seen, also a work of art)
This blob of text seems to mean nothing
Maybe you need to learn more about the language uplift.
"writing" isn't a technology in a video game that you research and improves the knowledge preservation instantly. It has a lot of components that it needs to be effective in the way that is described here, and it really wasn't that effective even coming to way later ages than the age that it was "found"(?).
The relations described here aren't anologous to "Ai separated humans from language" so they seem like just some arbitrary things to say on the side.
why is writing things down better?
For the same reason we make kids write out math problems rather than just reciting them. It engages different parts of the brain for one, you gain an expanded amount of context by doing so.
The next thing has to do with human memory, when you remember something it is never read only. Recalling memory can adjust your neurons and change the memory, sometimes a little, sometimes a lot. Hence why eyewitness testimony is mostly trash.
Writing it down also provides a larger workspace for making changes that you can loop over. Quite often things sound fine in our mind, then we write it, and reread it and we realize its wrong. These days people commonly use this in agentic workflows. One agent will conceptualize an idea, and then it's passed off to another agent with a clean context to review for logical flaws. Reading ones own text does the same things for humans, we don't load the full memory context of what we wrote and it seemingly allows us to iterate over the problem differently.
And I guess lastly, human voice is very low bandwidth. A wagon full of well written books is far easier to manage than the humans that contain that knowledge. The reader is at their leisure to learn and the speaker isn't inconvenienced by being at someones beck and call.
Writing locks in and requires the evolution of other forms of evolution, as the Word can no longer evolve during transmission.
I say that while being firmly on your side in the larger back-and-forth exchange here :)
For a guy who spent his life imagining and realising dreams in video games and cognitive abilities in artificial neural networks, it has to be very soul destroying for Demis to spend his time doing something as frivolous as this.
The best part of technology: the people who brought you the "disruption" are the ones who promise you they have the solution to all the problems it caused.
Google, who was left a little bit behind anyway, is more than happy to join the calls for taking a more cautious approach to AI development. Hence DeepMind Institute.
Sam Altman has no option than to pretend he agrees with all these ideas. What else is he supposed to say?
> DMI is a platform for researchers and thinkers from across Google DeepMind, Google, and the wider global research community to work on and publish creative, deeply informed ideas about a world with AGI. They will not always agree, and they will likely change their minds, as more data and information comes to light at the fast-moving frontier. We created this institute precisely because broad-based intellectual discussion and debate are required to arrive at a consensus about how to address the challenges and opportunities we face as a society.
https://institute.deepmind.com/essays/the-case-for-reasoning...
(Hiding chains of thought is one of the most harmful things I think OAI/Anthr. has done, altough Google Gemini also encrypts its chains of thought, so it's interesting to see the DeepMind Institute crticising this.)
Of course this still then has a 'trust me, bro' feel to it, but making it outright impossible to reasonably inspect the CoT is a significantly larger and riskier step, IMO.
Encrypting CoT is just plain nuts yet we’ve all accepted it as normal.
> We created this institute precisely because broad-based intellectual discussion and debate are required to arrive at a consensus about how to address the challenges and opportunities we face as a society.
Something tells me that consensus will never arrive to the conclusion that we should shut down that whole industry
>"Someone once said that it is easier to imagine the end of the world than the end of capitalism."
They cite Marxist philosopher Fredric Jameson (and misspell his name, incidentally), but I've always attributed this phrase to Fisher. I guess citing kpunk would have probably made the simulation we all live in actually implode.