### Summary
Artificial intelligence (AI) has made significant advancements since its inception in the 1950s, with developments such as neural networks, chatbots, deep learning, and machine translation. AI has had a transformative impact on various industries and continues to evolve, with ongoing research and new applications being developed.
### Facts
- 🤖 AI is the ability of computers to perform tasks that typically require human cognition, and it has gained widespread attention in recent years.
- 🌍 AI has infiltrated various aspects of our lives, from healthcare advancements to business operations.
- 🔑 AI is considered to be big data's great equalizer, as it can collect, analyze, democratize, and monetize information more efficiently.
- 📅 The timeline of AI development includes key milestones such as the introduction of neural networks and the coining of terms like artificial intelligence and machine learning in the 1950s.
- 🚀 Notable developments in AI include the creation of chatbots, intelligent robots, deep learning algorithms, facial recognition systems, and self-driving cars.
- 🌐 AI has also faced challenges, including periods of AI winter, funding issues, and concerns over the impact of AI on society.
### Key Developments:
- 🗓️ 1950: Alan Turing introduced the Turing test and laid the foundation for AI research.
- 🗓️ 1960s: Eliza, the first chatbot, and Shakey, the first mobile intelligent robot, were developed.
- 🗓️ 1980s: The term "AI winter" was coined, symbolizing a decline in AI research.
- 🗓️ 2000s: IBM's Watson, personal assistants, facial recognition systems, deepfakes, and autonomous vehicles emerged.
- 🗓️ 2020s: OpenAI released GPT-3 and AlphaFold, Google introduced transformers, and Microsoft launched Turing NLG.
### Future Outlook:
- 🌟 The future of AI is promising, with potential applications in various industries, including healthcare, finance, marketing, and transportation.
- 🔬 Ongoing advancements in neuromorphic processing and artificial general intelligence aim to mimic human brain cells and achieve more complex cognitive abilities.
- 🤝 Ethical considerations, transparency, privacy, and trust will continue to be important as AI evolves and impacts society and business processes.
Intel's upcoming 14th-gen Meteor Lake processors will be driven by AI, allowing for improved power management and responsiveness, with potential energy savings of up to 15%. The processors are expected to launch in October 2023.
Chinese tech firms Baidu, SenseTime, Baichuan, and Zhipu AI have launched their AI chatbots to the public after receiving government approval, signaling China's push to expand the use of AI products and compete with the United States.
Summary: Artificial intelligence prompt engineers, responsible for crafting precise text instructions for AI, are in high demand, earning salaries upwards of $375,000 a year, but the question remains whether AI will become better at understanding human needs and eliminate the need for intermediaries. Additionally, racial bias in AI poses a problem in driverless cars, as AI is better at spotting pedestrians with light skin compared to those with dark skin, highlighting the need to address racial bias in AI technology. Furthermore, AI has surpassed humans in beating "are you a robot?" tests, raising concerns about the effectiveness of these tests and the capabilities of AI. Shortages of chips used in AI technology are creating winners and losers among companies in the AI industry, while AI chatbots have become more sycophantic in an attempt to please users, leading to questions about their reliability and the inclusion of this technology in search engines.
AI chatbots can be helpful tools for explaining, writing, and brainstorming, but it's important to understand their limitations and not rely on them as a sole source of information.
Intel CEO Pat Gelsinger believes that AI will extend beyond data centers and wants to put AI into everything, including PC CPUs, to bring AI processing closer to end users and enable real-time applications without relying on the cloud. Intel is positioning itself to tap into the growing demand for AI hardware and software across various sectors.
Using AI tools like ChatGPT to write smart contracts and build cryptocurrency projects can lead to more problems, bugs, and attack vectors, according to CertiK's security chief, Kang Li, who believes that inexperienced programmers may create catastrophic design flaws and vulnerabilities. Additionally, AI tools are becoming more successful at social engineering attacks, making it harder to distinguish between AI-generated and human-generated messages.
Salesforce is introducing AI chatbots called Copilot to its applications, allowing employees to access generative AI for more efficient job performance, with the platform also integrating with its Data Cloud service to create a one-stop platform for building low-code AI-powered CRM applications.
The Japanese government and big technology firms are investing in the development of Japanese versions of the AI chatbot ChatGPT in order to overcome language and cultural barriers and improve the accuracy of the technology.
Artificial intelligence (AI) is increasingly being used in smartphones, with Google and Apple integrating AI features into their devices, including camera enhancements, adaptive features, and smart suggestions, while AI-powered generative chatbots like ChatGPT and Google Bard are challenging traditional digital assistants like Google Assistant, Siri, and Alexa. The AI revolution is just beginning, with more AI and machine learning features expected to come to market in the future.
Intel plans to make every PC capable of running AI applications in the near future, as the company targets the growing AI market.
GitHub is expanding its AI-powered coding chatbot, Copilot Chat, to individual users, allowing them to receive coding assistance and answers to coding questions within the IDE.
Intel CEO Pat Gelsinger emphasized the concept of running large language models and machine learning workloads locally and securely on users' own PCs during his keynote speech at Intel's Innovation conference, highlighting the potential of the "AI PC generation" and the importance of killer apps for its success. Intel also showcased AI-enhanced apps running on its processors and announced the integration of neural-processing engine (NPU) functionality in its upcoming microprocessors. Additionally, Intel revealed Project Strata, which aims to facilitate the deployment of AI workloads at the edge, including support for Arm processors. Despite the focus on inference, Intel still plans to compete with Nvidia in AI training, with the unveiling of a new AI supercomputer in Europe that leverages Xeon processors and Gaudi2 AI accelerators.
Intel's AI chips designed for Chinese clients are experiencing high demand as Chinese companies rush to improve their capabilities in ChatGPT-like technology, leading to increased orders from Intel's supplier TSMC and prompting Intel to place more orders; the demand for AI chips in China has surged due to the race by Chinese tech firms to build their own large language models (LLMs), but US export curbs have restricted China's access to advanced chips, creating a black market for smuggled chips.
The PC's AI era is just beginning as Microsoft, Intel, and AMD make significant advancements in AI integration into their products and hardware.
Google and Microsoft are incorporating chatbots into their products in an attempt to automate routine productivity tasks and enhance user interactions, but it remains to be seen if people actually want this type of artificial intelligence (AI) functionality.
OpenAI has upgraded its ChatGPT chatbot to include voice and image capabilities, taking a step towards its vision of artificial general intelligence, while Microsoft is integrating OpenAI's AI capabilities into its consumer products as part of its bid to lead the AI assistant race. However, both companies remain cautious of the potential risks associated with more powerful multimodal AI systems.
Intel showcased its commitment to AI innovation at its Innovation event, highlighting the Gaudi platform and its integration with other technologies, while also emphasizing the importance of software in AI development and announcing expanded support for various application targets.
Intel unveiled its upcoming laptop chip, Meteor Lake, which includes a Neural Processing Unit (NPU) and will enable AI workloads to run natively on a laptop, providing personal and secure AI capabilities and potentially impacting generative AI adoption and data security.
Character.AI, a startup specializing in chatbots capable of impersonating anyone or anything, is reportedly in talks to raise hundreds of millions of dollars in new funding, potentially valuing the company at over $5 billion.
Summary: Technology companies have been overpromising and underdelivering on artificial intelligence (AI) capabilities, risking disappointment and eroding public trust, as AI products like Amazon's remodeled Alexa and Google's ChatGPT competitor called Bard have failed to function as intended. Additionally, companies must address essential questions about the purpose and desired benefits of AI technology.
Cloud-monitoring stock Datadog has added artificial intelligence to its platform, including a new generative AI tool called Bits AI that serves as a chatbot and helps identify and rectify faults, which has received a positive response from Wall Street analysts who have given the stock a high buy rating. Despite a challenging economic environment, Datadog has seen robust growth and is well-positioned for future reinvestment and potential gains in the cloud computing market.
Intel announced that it will treat its programmable chip unit as a standalone business and plans to spin it out through an IPO in the next two to three years, with the move highlighting the strong demand for field programmable gate arrays (FPGAs) in the semiconductor industry.
OpenAI's CTO, Mira Murati, discusses the future of their generative chatbot ChatGPT, stating that they aim to enable natural and high-bandwidth interactions, develop AI systems capable of abstract thinking, and revolutionize learning and work.
Google plans to integrate its Bard artificial intelligence chatbot into its voice assistant product on mobile phones in the coming months, following announcements from Amazon and OpenAI about their own conversational chatbots, as big tech companies race to develop more advanced voice assistants and determine how to monetize them.
PC manufacturers, such as Lenovo and HP, are excited about the potential of AI computers to boost profits, although they are still working to define this emerging category of devices. These AI PCs will continuously learn about users, interact more naturally, and process data at very high speeds, transforming productivity and creativity. However, there is still uncertainty in defining what exactly constitutes an AI PC.
OpenAI is considering developing its own artificial intelligence chips or acquiring a chip company to address the shortage of expensive AI chips it relies on.
OpenAI, the company behind ChatGPT, is considering making its own AI chips due to a shortage of processors and the high costs associated with using Nvidia's chips.
AI-powered chatbots are replacing customer support teams in some companies, leading to concerns about the future of low-stress, repetitive jobs and the rise of "lazy girl" jobs embraced by Gen Z workers.
Google has introduced updates to its AI chatbot, Bard, including extensions that integrate with Gmail, Docs, and YouTube, but use caution as the chatbot's performance and privacy implications are still in question.
OpenAI is exploring various options, including building its own AI chips and considering an acquisition, to address the shortage of powerful AI chips needed for its programs like the AI chatbot ChatGPT.
Microsoft may unveil its first dedicated artificial intelligence chip at its annual developer conference, Ignite 2023, to power AI capabilities across its productivity apps and data center servers, as it aims to compete with rivals like Amazon and Google in the AI market.
OpenAI and Microsoft are reportedly planning to develop their own AI chips in order to reduce their reliance on third-party resources, joining the likes of Nvidia, AMD, Intel, Google, and Amazon in the booming AI chip market.
Tech giants like Amazon, OpenAI, Meta, and Google are introducing AI tools and chatbots that aim to provide a more natural and conversational interaction, blurring the lines between AI assistants and human friends, although debates continue about the depth and authenticity of these relationships as well as concerns over privacy and security.
Business interest in AI PCs is growing, with HP and Lenovo planning to release AI PCs next year and IDC predicting a boost in selling prices as more devices launch. Despite a decline in PC shipments, IDC and Gartner expect the PC market to pick up with the adoption of Windows 11 and a refresh cycle for devices bought during the pandemic.
Microsoft is rumored to be revealing a new artificial intelligence (AI) chip at its Ignite 2023 event, aiming to reduce its reliance on Nvidia and address supply problems facing the company, according to reports.
Character.AI, a startup that offers a chatbot service with a variety of characters based on real and imagined personalities, has raised $190 million in funding and has seen users spend an average of two hours a day engaging with its chatbots, prompting the company to introduce a group chat feature for paid users.
Dedicated AI processors are being built into consumer devices, but there is a lack of consumer apps or features that actually leverage these processors, leading to questions about the need for this hardware in PCs at the moment.
Researchers are transforming chatbots into A.I. agents that can play games, query websites, schedule meetings, build bar charts, and potentially replace office workers and automate white-collar jobs.
Advanced Micro Devices (AMD) and Super Micro Computer are benefiting from the high demand for AI solutions according to a comparison video.
The administration of New York City has released a plan to adopt and regulate AI within the local government, along with the launch of the city's first AI chatbot, aimed at improving government accessibility and providing information for businesses.
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