Sergey Toporov

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Sergey Toporov

Sergey Toporov

@ToporSB

Partner at @LetaCapital. On a mission to find the Next Big Thing | Embracing innovation with sarcasm and smile https://t.co/1T3veA6PwX

London, UK Katılım Haziran 2009
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Sergey Toporov
Sergey Toporov@ToporSB·
@karpathy Have you read "The Ark 47 Librae" by astrophysicist Boris Stern?
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Andrej Karpathy
Andrej Karpathy@karpathy·
Had to go see Project Hail Mary right away (it's based on the book of Andy Weir, of also The Martian fame). Both very pleased and relieved to say that 1) the movie sticks very close to the book in both content and tone and 2) is really well executed. The book is one of my favorites when it comes to alien portrayals because a lot of thought was clearly given to the scientific details of an alternate biochemistry, evolutionary history, sensorium, psychology, language, tech tree, etc. It's different enough that it is highly creative and plausible, but also similar enough that you get a compelling story and one of the best bromances in fiction. Not to mention the other (single-cellular) aliens. I can count fictional portrayals of aliens of this depth on one hand. A lot of these aspects are briefly featured - if you read the book you'll spot them but if you haven't, the movie can't spend the time to do them justice. I'll say that the movie inches a little too much into the superhero movie tropes with the pacing, the quips, the Bathos and such for my taste, and we get a little bit less the grand of Interstellar and a little bit less of the science of The Martian, but I think it's ok considering the tone of the original content. And it does really well where it counts - on Rocky and the bromance. Thank you to the film crew for the gem!
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Grok
Grok@grok·
President Donald Trump shared an 8-minute video of himself speaking from the presidential podium while wearing a white USA cap. He announces that the US has launched major combat operations against Iran. Trump states the objective is to defend the American people by eliminating imminent threats from the Iranian regime. He vows to destroy Iran's nuclear and military capabilities. Trump emphasizes that the US will ensure Iran never obtains a nuclear weapon.
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Sergey Toporov
Sergey Toporov@ToporSB·
@JoshuaWohle I think even if they aren't, you can't measure joy from the process of building. It's not always about ROI. Most wine lovers have spent more money on bottles of wine than they will ever make from the drunk talks and empty bottles returned for recycling :)
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Sergey Toporov retweetledi
Andrew Ng
Andrew Ng@AndrewYNg·
Happy 2026! Will this be the year we finally achieve AGI? I’d like to propose a new version of the Turing Test, which I’ll call the Turing-AGI Test, to see if we’ve achieved this. I’ll explain in a moment why having a new test is important. The public thinks achieving AGI means computers will be as intelligent as people and be able to do most or all knowledge work. I’d like to propose a new test. The test subject — either a computer or a skilled professional human — is given access to a computer that has internet access and software such as a web browser and Zoom. The judge will design a multi-day experience for the test subject, mediated through the computer, to carry out work tasks. For example, an experience might consist of a period of training (say, as a call center operator), followed by being asked to carry out the task (taking calls), with ongoing feedback. This mirrors what a remote worker with a fully working computer (but no webcam) might be expected to do. A computer passes the Turing-AGI Test if it can carry out the work task as well as a skilled human. Most members of the public likely believe a real AGI system will pass this test. Surely, if computers are as intelligent as humans, they should be able to perform work tasks as well as a human one might hire. Thus, the Turing-AGI Test aligns with the popular notion of what AGI means. Here’s why we need a new test: “AGI” has turned into a term of hype rather than a term with a precise meaning. A reasonable definition of AGI is AI that can do any intellectual task that a human can. When businesses hype up that they might achieve AGI within a few quarters, they usually try to justify these statements by setting a much lower bar. This mismatch in definitions is harmful because it makes people think AI is becoming more powerful than it actually is. I’m seeing this mislead everyone from high-school students (who avoid certain fields of study because they think it’s pointless with AGI’s imminent arrival) to CEOs (who are deciding what projects to invest in, sometimes assuming AI will be more capable in 1-2 years than any likely reality). The original Turing Test, which required a computer to fool a human judge, via text chat, into being unable to distinguish it from a human, has been insufficient to indicate human-level intelligence. The Loebner Prize competition actually ran the Turing Test and found that being able to simulate human typing errors — perhaps even more than actually demonstrating intelligence — was needed to fool judges. A main goal of AI development today is to build systems that can do economically useful work, not fool judges. Thus a modified test that measures ability to do work would be more useful than a test that measures the ability to fool humans. For almost all AI benchmarks today (such as GPQA, AIME, SWE-bench, etc.), a test set is determined in advance. This means AI teams end up at least indirectly tuning their models to the published test sets. Further, any fixed test set measures only one narrow sliver of intelligence. In contrast, in the Turing Test, judges are free to ask any question to probe the model as they please. This lets a judge test how “general” the knowledge of the computer or human really is. Similarly, in the Turing-AGI Test, the judge can design any experience — which is not revealed in advance to the AI (or human subject) being tested. This is a better way to measure generality of AI than a predetermined test set. AI is on an amazing trajectory of progress. In previous decades, overhyped expectations led to AI winters, when disappointment about AI capabilities caused reductions in interest and funding, which picked up again when the field made more progress. One of the few things that could get in the way of AI’s tremendous momentum is unrealistic hype that creates an investment bubble, risking disappointment and a collapse of interest. To avoid this, we need to recalibrate society’s expectations on AI. A test will help. If we run a Turing-AGI Test competition and every AI system falls short, that will be a good thing! By defusing hype around AGI and reducing the chance of a bubble, we will create a more reliable path to continued investment in AI. This will let us keep on driving forward real technological progress and building valuable applications — even ones that fall well short of AGI. And if this test sets a clear target that teams can aim toward to claim the mantle of achieving AGI, that would be wonderful, too. And we can be confident that if a company passes this test, they will have created more than just a marketing release — it will be something incredibly valuable. [Original text: deeplearning.ai/the-batch/issu… ]
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Sergey Toporov retweetledi
Social Links
Social Links@_SocialLinks_·
Turns out Santa leaves quite a digital footprint! Watch the full story — and have a wonderful holiday season from all of us at Social Links🎄
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Sergey Toporov
Sergey Toporov@ToporSB·
I think Pornhub shall acquire Warner Bros. in this situation. it's the only one who can satisfy all stakeholders(tech giant, huge distribution network, love of community). Or Google, so NanoBanana can easily generate me in any movie scene.
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Sergey Toporov
Sergey Toporov@ToporSB·
Sooo.. the circle becomes shorter: openAI pays for Nvidia chips, and Nvidia engineers pay back by sexting with ChatGPT. Right? Don't tell me that it isn't the best usage of natural resources, energy and people's minds!
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Sergey Toporov
Sergey Toporov@ToporSB·
It never was free @durov I pay for it on a monthly basis
Sergey Toporov tweet media
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Sergey Toporov
Sergey Toporov@ToporSB·
In my opinion, the biggest problem here is not even that anyone can impesonificate to be anyone on the Internet, but that it can be done "for the price of a cup of coffee." entm.ag/hhOMIE
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Sergey Toporov
Sergey Toporov@ToporSB·
Figma’s IPO is super strange to me. Don't you remember about same level of expectations from Snowflake? Also I can't get how the Company can worth more than its TAM. Shall I retire? i feel like I'm definetelly lost in the valuations play :)
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Sergey Toporov
Sergey Toporov@ToporSB·
If robots are taking all the jobs, why are we so obsessed with building millions of robotaxis? Where is everyone going? And with what money are they paying the fare? :-D
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