#sutskever — Public Fediverse posts

https://www.europesays.com/people/68030/ How Much Power Did Microsoft Have Over OpenAI? #altman #ArtificialIntelligence #DianeB #Elon #Greene #Ilya #MicrosoftCorp #Musk #nadella #OpenAILabs #SamuelH #Satya #SatyaNadella #Sutskever

In a trial pitting him against Elon Musk, nobody has more to lose than OpenAI CEO Sam Altman

In a trial featuring a clash between Elon Musk and OpenAI CEO Sam Altman, neither of the tech…
#UnitedStates #US #USA #Altman #behavior #board #CEO #civillawsuit #companyleadership #director #ElonMusk #GregBrockman #Musk #OpenAI #Pattern #Sutskever #trial #week #witness
https://www.europesays.com/2984093/

https://www.europesays.com/people/67822/ In a trial pitting him against Elon Musk, nobody has more to lose than OpenAI CEO Sam Altman #altman #behavior #board #CEO #CivilLawsuit #CompanyLeadership #director #ElonMusk #GregBrockman #Musk #OpenAI #pattern #Sutskever #trial #week #witness

OpenAI's entire defense of its mission pivot landed in seven words Monday.
"The mission of OpenAI is larger than the structure."

Musk's lawyers called Microsoft's CEO as their own witness — first time this trial the jury saw someone actually answer a question without a philosophical objection. Unfortunately for them, he didn't exactly help their case.

https://blog.ppb1701.com/the-adult-in-the-room

#OpenAI #Musk #Nadella #Sutskever #AI #bigtech #TheranasAI #Microsoft #Cerebras #blog

https://www.europesays.com/people/67104/ Microsoft’s C.E.O. Intervened When OpenAI Fired Sam Altman, Musk’s Lawyer Claims #altman #AppointmentsAndExecutiveChanges #ArtificialIntelligence #CompensationForDamages(Law) #ComputersAndTheInternet #Elon #GonzalezRogers #Ilya #MicrosoftCorp #Musk #nadella #OpenAILabs #SamAltman #SamuelH #Satya #Sutskever #Yvonne(1965)

OpenAI nearly merged with Anthropic during the November 2023 crisis. A board member argued dissolving the company was "consistent with the mission."

Also: the 52-page document that triggered the CEO firing was built primarily on one person's unverified account. That person just testified "No" under oath about a different claim.

https://blog.ppb1701.com/disappearing-emails

#ai #altman #blog #brockman #murati #musk #openai #sec #theranasai #userhostile #zilis #sutskever

OpenAI nearly merged with Anthropic during the November 2023 crisis. A board member argued dissolving the company was "consistent with the mission."

Also: the 52-page document that triggered the CEO firing was built primarily on one person's unverified account. That person just testified "No" under oath about a different claim.

https://blog.ppb1701.com/disappearing-emails

#ai #altman #blog #brockman #murati #musk #openai #sec #theranasai #userhostile #zilis #sutskever

Sutskever and LeCun: Scaling LLMs Won't Yield More Useful Results

https://www.abzglobal.net/web-development-blog/ilya-sutskever-yann-lecun-and-the-end-of-just-add-gpus

#HackerNews #Sutskever #LeCun #LLMs #AIresearch #MachineLearning

“We’ve achieved peak data and there’ll be no more.”

OpenAI’s cofounder and former chief scientist,
#Ilya #Sutskever, made headlines earlier this year after he left to start his own AI lab called
Safe Superintelligence Inc.

He has avoided the limelight since his departure but made a rare public appearance in Vancouver on Friday at the
Conference on Neural Information Processing Systems (NeurIPS).

“Pre-training as we know it will unquestionably end,” Sutskever said onstage.

This refers to the first phase of AI model development,
when a large language model learns patterns from vast amounts of unlabeled data
— typically text from the internet, books, and other sources.

During his NeurIPS talk, Sutskever said that,
while he believes existing data can still take AI development farther,
the industry is tapping out on new data to train on.

This dynamic will, he said, eventually force a shift away from the way models are trained today.

He compared the situation to fossil fuels:
just as oil is a finite resource,
the internet contains a finite amount of human-generated content.

“We’ve achieved peak data and there’ll be no more,” according to Sutskever.

“We have to deal with the data that we have. There’s only one internet

Next-generation models, he predicted, are going to “be agentic in a real ways.”

Agents have become a real buzzword in the AI field.

While Sutskever didn’t define them during his talk, they are commonly understood to be an autonomous AI system that performs tasks, makes decisions,
and interacts with software on its own.

Along with being “agentic,” he said future systems will also be able to reason.

Unlike today’s AI, which mostly pattern-matches based on what a model has seen before,
future AI systems will be able to work things out step-by-step in a way that is more comparable to thinking.

The more a system reasons, “the more unpredictable it becomes,” according to Sutskever.

He compared the unpredictability of “truly reasoning systems” to how advanced AIs that play chess “are unpredictable to the best human chess players.”

“They will understand things from limited data,” he said.

“They will not get confused.”

On stage, he drew a comparison between the scaling of AI systems and evolutionary biology,
citing research that shows the relationship between brain and body mass across species.

He noted that while most mammals follow one scaling pattern, hominids (human ancestors) show a distinctly different slope in their brain-to-body mass ratio on logarithmic scales.

He suggested that, just as evolution found a new scaling pattern for hominid brains,
AI might similarly discover new approaches to scaling beyond how pre-training works today.
https://www.theverge.com/2024/12/13/24320811/what-ilya-sutskever-sees-openai-model-data-training