search
HomeTechnology peripheralsAIGoogle's AI direction has changed drastically. New research will be closed source, leaving OpenAI with nothing to see.

As we all know, Google is like the "Whampoa Military Academy" in the field of artificial intelligence. Since the rise of deep learning, it has trained an entire generation of machine learning researchers and engineers. For a long time, Google has been synonymous with leading AI technology.

People have become accustomed to following Google's footsteps and using the new technologies and tools it proposed as the basis for research. Google has also produced a large number of talents and become the backbone of various research institutions and companies. However, recently, under the impact of ChatGPT, Google decided not to do this.

According to the Washington Post, in February this year, Google’s long-time artificial intelligence chief Jeff Dean announced a shocking policy to his employees. The shift: Google will have to delay sharing the results of its work with the outside world in the future.

For years, Google AI under Jeff Dean, like university computer science departments, encouraged researchers to publish a large number of academic papers. According to Google Research’s website, they have launched nearly 500 studies since 2019.

But late last year, OpenAI’s groundbreaking ChatGPT changed the status quo of the entire technology field. The Microsoft-backed startup churns out papers submitted by Google AI to keep up with Google, Jeff Dean said at the company's quarterly meeting of the research arm. Such "accusations" are not surprising. In fact, the T-transformer in ChatGPT, an important foundation of large language models, is a 2017 research by Google.

Transformer has been a general research direction in the field of natural language processing (NLP) since it was proposed, and is the source of the current wave of breakthroughs in AI. But Google believes this must change, and will stipulate that its artificial intelligence discoveries can only be shared in papers after lab work has been turned into products, according to two people familiar with the matter.

The new policy changes are part of a larger shift within Google. The tech giant has long been considered a leader in AI, but now it’s stuck playing catch-up — fending off a swarm of nimble AI rivals, protecting its core search business and stock price, and potentially s future.

In op-eds, podcasts and TV appearances, Google CEO Sundar Pichai has urged caution about artificial intelligence. “On a social level, it could do a lot of harm,” he warned on “60 Minutes” in April, describing how generative AI could accelerate the creation of fake images and videos.

But contrary to what executives have revealed, in recent months, according to interviews with 11 current and former Google employees, Google has made changes to its AI business. A comprehensive overhaul with the goal of launching products quickly.

It lowers the bar for rolling out experimental AI tools to minority groups, establishing a new set of evaluation metrics and priorities in areas such as equity. Pichai said in a statement that Google also merged DeepMind and Google Brain to "accelerate progress in artificial intelligence." The new unit will not be run by Jeff Dean, but by Hassabis, the CEO of DeepMind, which some see as having a fresher, more dynamic brand.

At a conference earlier last week, Hassabis said that artificial intelligence may be closer to human-level intelligence than most other artificial intelligence experts predict, "We may It will only take a few years, maybe... ten years.” Voices are calling on AI developers to slow down, warning that the technology is moving too fast.

Geoffrey Hinton is one of the pioneers of AI technology. He joined Google in 2013 and recently announced that he is leaving the company. Hinton has been in the media recently warning of the dangers of general artificial intelligence escaping human control. Pichai and the CEOs of OpenAI and Microsoft also met with White House officials on Thursday, and regulators around the world are discussing how to develop new rules around the technology.

Last week, artificial intelligence pioneer Geoffrey Hinton resigned as a vice president at Google, citing concerns that rapid advances in technology would lead to massive job losses and a proliferation of misinformation.

Mixed news: some support, some quit out of frustration

For Google employees, the need for additional approval before publishing related AI research means that they may be struggling in the flash world of generative AI. Being "robbed" by others. Such policies could also be used to quietly suppress controversial papers, such as a 2020 study on the dangers of large language models co-authored by Timnit Gebru and Margaret Mitchell, leaders of Google’s Ethical AI team.

One thing that has to be admitted is that Google lost many of its top AI researchers in 2022, switching to startups that are considered more cutting-edge. Part of this brain drain stems from frustration that Google isn't making smart decisions, like not incorporating chatbots into search.

Getting approval for publication can require rigorous reviews with senior staff, one former Google researcher said. Many scientists come to Google with the promise of being able to conduct broader research in their fields, but then leave because of restrictions on publishing research.

However, during the live broadcast of the quarterly meeting, Jeff Dean’s statement also received positive responses from some employees. They expressed optimism that this shift would help Google regain its advantage. For some researchers, these are the first times they have heard about restrictions on publishing research.

Jeff Dean’s latest response: We haven’t stopped sharing research

However, in response to the Washington Post report, Jeff Dean presented the facts and refuted their View. He said that 100 papers completed by Google researchers were published at the ICLR 2023 conference last week, and they have served as a speaker in a large number of conference organizations and workshops.

Googles AI direction has changed drastically. New research will be closed source, leaving OpenAI with nothing to see.

And DeepMind colleagues also published many papers and speeches at the ICLR 2023 conference .

Googles AI direction has changed drastically. New research will be closed source, leaving OpenAI with nothing to see.

However, some people questioned Jeff, thinking that these 100 papers were lagging indicators, and asked Jeff whether he could assert that Google and Will DeepMind’s research communication be as strong in the future as it has been in the past? For example, Hassabis has publicly stated that DeepMind will not share much in the future.

Jeff Dean responded that this is something that should never be asserted. The publication of new research depends on many factors. Just like the acceptance of papers by conferences, we have a lot of work that will not be published, and a lot of work that will be published. I don't think the situation will change.

Googles AI direction has changed drastically. New research will be closed source, leaving OpenAI with nothing to see.

The Stanford NLP account countered that it seems that some PhD students for summer internships have already It’s hard to publish a paper.

Googles AI direction has changed drastically. New research will be closed source, leaving OpenAI with nothing to see.

Some people think that if Jeff Dean could directly deny the views reported by the Washington Post, It's more convincing.

Googles AI direction has changed drastically. New research will be closed source, leaving OpenAI with nothing to see.

Finally, as one netizen said, "What you need to worry about in the future is not publishing papers. They will definitely rely on their strong The influence continues. What is more worrying is the release of code and models, and the seemingly declining trend of high-impact papers in recent years."

The above is the detailed content of Google's AI direction has changed drastically. New research will be closed source, leaving OpenAI with nothing to see.. For more information, please follow other related articles on the PHP Chinese website!

Statement
This article is reproduced at:51CTO.COM. If there is any infringement, please contact admin@php.cn delete
谷歌三件套指的是哪三个软件谷歌三件套指的是哪三个软件Sep 30, 2022 pm 01:54 PM

谷歌三件套指的是:1、google play商店,即下载各种应用程序的平台,类似于移动助手,安卓用户可以在商店下载免费或付费的游戏和软件;2、Google Play服务,用于更新Google本家的应用和Google Play提供的其他第三方应用;3、谷歌服务框架(GMS),是系统软件里面可以删除的一个APK程序,通过谷歌平台上架的应用和游戏都需要框架的支持。

为什么中国不卖google手机为什么中国不卖google手机Mar 30, 2023 pm 05:31 PM

中国不卖google手机的原因:谷歌已经全面退出中国市场了,所以不能在中国销售,在国内是没有合法途径销售。在中国消费市场中,消费者大都倾向于物美价廉以及功能实用的产品,所以竞争实力本就因政治因素大打折扣的谷歌手机主体市场一直不在中国大陆。

谷歌超强AI超算碾压英伟达A100!TPU v4性能提升10倍,细节首次公开谷歌超强AI超算碾压英伟达A100!TPU v4性能提升10倍,细节首次公开Apr 07, 2023 pm 02:54 PM

虽然谷歌早在2020年,就在自家的数据中心上部署了当时最强的AI芯片——TPU v4。但直到今年的4月4日,谷歌才首次公布了这台AI超算的技术细节。论文地址:https://arxiv.org/abs/2304.01433相比于TPU v3,TPU v4的性能要高出2.1倍,而在整合4096个芯片之后,超算的性能更是提升了10倍。另外,谷歌还声称,自家芯片要比英伟达A100更快、更节能。与A100对打,速度快1.7倍论文中,谷歌表示,对于规模相当的系统,TPU v4可以提供比英伟达A100强1.

谷歌并未放弃TensorFlow,将于2023年发布新版,明确四大支柱谷歌并未放弃TensorFlow,将于2023年发布新版,明确四大支柱Apr 12, 2023 am 11:52 AM

2015 年,谷歌大脑开放了一个名为「TensorFlow」的研究项目,这款产品迅速流行起来,成为人工智能业界的主流深度学习框架,塑造了现代机器学习的生态系统。从那时起,成千上万的开源贡献者以及众多的开发人员、社区组织者、研究人员和教育工作者等都投入到这一开源软件库上。然而七年后的今天,故事的走向已经完全不同:谷歌的 TensorFlow 失去了开发者的拥护。因为 TensorFlow 用户已经开始转向 Meta 推出的另一款框架 PyTorch。众多开发者都认为 TensorFlow 已经输掉

LLM之战,谷歌输了!越来越多顶尖研究员跳槽OpenAILLM之战,谷歌输了!越来越多顶尖研究员跳槽OpenAIApr 07, 2023 pm 05:48 PM

​前几天,谷歌差点遭遇一场公关危机,Bert一作、已跳槽OpenAI的前员工Jacob Devlin曝出,Bard竟是用ChatGPT的数据训练的。随后,谷歌火速否认。而这场争议,也牵出了一场大讨论:为什么越来越多Google顶尖研究员跳槽OpenAI?这场LLM战役它还能打赢吗?知友回复莱斯大学博士、知友「一堆废纸」表示,其实谷歌和OpenAI的差距,是数据的差距。「OpenAI对LLM有强大的执念,这是Google这类公司完全比不上的。当然人的差距只是一个方面,数据的差距以及对待数据的态度才

参数少量提升,性能指数爆发!谷歌:大语言模型暗藏「神秘技能」参数少量提升,性能指数爆发!谷歌:大语言模型暗藏「神秘技能」Apr 11, 2023 pm 11:16 PM

由于可以做一些没训练过的事情,大型语言模型似乎具有某种魔力,也因此成为了媒体和研究员炒作和关注的焦点。当扩展大型语言模型时,偶尔会出现一些较小模型没有的新能力,这种类似于「创造力」的属性被称作「突现」能力,代表我们向通用人工智能迈进了一大步。如今,来自谷歌、斯坦福、Deepmind和北卡罗来纳大学的研究人员,正在探索大型语言模型中的「突现」能力。解码器提示的 DALL-E神奇的「突现」能力自然语言处理(NLP)已经被基于大量文本数据训练的语言模型彻底改变。扩大语言模型的规模通常会提高一系列下游N

四分钟对打300多次,谷歌教会机器人打乒乓球四分钟对打300多次,谷歌教会机器人打乒乓球Apr 10, 2023 am 09:11 AM

让一位乒乓球爱好者和机器人对打,按照机器人的发展趋势来看,谁输谁赢还真说不准。​机器人拥有灵巧的可操作性、腿部运动灵活、抓握能力出色…… 已被广泛应用于各种挑战任务。但在与人类互动紧密的任务中,机器人的表现又如何呢?就拿乒乓球来说,这需要双方高度配合,并且球的运动非常快速,这对算法提出了重大挑战。在乒乓球比赛中,首要的就是速度和精度,这对学习算法提出了很高的要求。同时,这项运动具有高度结构化(具有固定的、可预测的环境)和多智能体协作(机器人可以与人类或其他机器人一起对打)两大特点,使其成为研究人

超5800亿美元!微软谷歌神仙打架,让英伟达市值飙升,约为5个英特尔超5800亿美元!微软谷歌神仙打架,让英伟达市值飙升,约为5个英特尔Apr 11, 2023 pm 04:31 PM

ChatGPT在手,有问必答。你可知,与它每次对话的计算成本简直让人泪目。此前,分析师称ChatGPT回复一次,需要2美分。要知道,人工智能聊天机器人所需的算力背后烧的可是GPU。这恰恰让像英伟达这样的芯片公司豪赚了一把。2月23日,英伟达股价飙升,使其市值增加了700多亿美元,总市值超5800亿美元,大约是英特尔的5倍。在英伟达之外,AMD可以称得上是图形处理器行业的第二大厂商,市场份额约为20%。而英特尔持有不到1%的市场份额。ChatGPT在跑,英伟达在赚随着ChatGPT解锁潜在的应用案

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

Repo: How To Revive Teammates
1 months agoBy尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
2 weeks agoBy尊渡假赌尊渡假赌尊渡假赌
Hello Kitty Island Adventure: How To Get Giant Seeds
1 months agoBy尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Dreamweaver Mac version

Dreamweaver Mac version

Visual web development tools

MantisBT

MantisBT

Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SAP NetWeaver Server Adapter for Eclipse

SAP NetWeaver Server Adapter for Eclipse

Integrate Eclipse with SAP NetWeaver application server.

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)