Musk announces that Tesla Dojo3 chip will be dedicated to ‘space AI computing’

Elon Musk recently announced that Tesla plans to restart its previously stalled third-generation AI chip project, Dojo3. Unlike before, the goal of this chip will no longer be focused on training ground autonomous driving models, but will shift towards the field of “space AI computing”.

(Tesla’s phone)

This move comes just five months after Tesla suspended the Dojo project. Previously, after the departure of project leader Peter Bannon, Tesla disbanded the team responsible for the Dojo supercomputer. About 20 former team members subsequently joined DensityAI, an emerging AI infrastructure company co founded by former Dojo leader Gannis Venkataraman and former Tesla employees Bill Zhang and Ben Florin.

When the Dojo project was suspended, there were reports that Tesla planned to reduce its investment in self-developed chips and instead increase its reliance on computing resources from partners such as Nvidia and AMD, and chose Samsung to be responsible for chip manufacturing. Musk’s latest statement indicates that the company’s strategy may be adjusted again.

The AI5 chip currently used by Tesla is produced by TSMC and is mainly used to support autonomous driving functions and Optimus humanoid robots. Last summer, Tesla signed a $16.5 billion agreement with Samsung to produce the next generation AI6 chip, which will serve high-performance AI training in Tesla vehicles, Optimus robots, and data centers.

AI7/Dojo3 will focus on space AI computing, “Musk said on Sunday, meaning that the restarted project will be given a more cutting-edge positioning. To achieve this goal, Tesla is working on rebuilding the team that disbanded several months ago. Musk directly issued a talent recruitment invitation on the same occasion: “If you are interested in participating in the construction of the world’s most widely used chip, please feel free to send an email to AI_Chips@Tesla.com That’s right.

Roger Luo stated:Tesla’s restart of the Dojo3 towards space computing demonstrates its continuous exploration and rapid adjustment capabilities in AI chip strategy. This is not only a significant shift in its technological roadmap, but also reflects its early layout for future high frontier AI computing scenarios.

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Google and Utopian/Dystopian Narratives

Google Announces New AI Ethics Board Amid Rising Tech Narratives Debate. The tech giant aims to address growing public discussions about technology’s future impacts. Many news stories now describe tech futures as either perfect or terrible. Google says this oversimplifies complex issues. The company wants more balanced conversations.

(Google and Utopian/Dystopian Narratives)

Google’s latest Gemini AI tool sparked intense reactions. Supporters call it a step toward helpful AI assistants for everyone. Critics fear such tools spread misinformation or cause job losses. Google insists it focuses on responsible development. The company points to strict safety testing before any release.

Recent press coverage often uses extreme language. Headlines predict either total societal transformation or complete collapse. Google argues reality sits between these extremes. The company notes AI already helps doctors and scientists daily. It also admits challenges like bias in algorithms need constant work.

Tech leaders face pressure about AI’s direction. Some people worry about privacy and automated decisions. Others see huge potential for solving climate or health problems. Google acknowledges both viewpoints exist. The company formed the new board to gather diverse expert opinions. This group includes ethicists, researchers, and policy specialists.

(Google and Utopian/Dystopian Narratives)

Google states its goal remains developing useful technology. The company believes ethical guidelines prevent harm. It also emphasizes needing realistic public expectations. Past projects like DeepMind show AI tackling tough problems like protein folding. Setbacks occur too, requiring careful fixes. Google commits to ongoing improvements and transparency. Public trust remains essential for future progress.

Samsung launched the “AI interview simulation” function, job hunting Easier

Samsung launches new AI interview simulation tool. This tool helps job seekers practice for real interviews. It is available inside Samsung’s Global Goals app. Many people find job interviews stressful. Samsung wants to make this easier. The AI simulation mimics a real job interview experience.

(Samsung launched the “AI interview simulation” function, job hunting Easier)

Users can practice answering common interview questions. The AI asks questions just like a human interviewer might. Users speak their answers out loud. The AI listens and analyzes the responses. It provides feedback on how the user performed. This feedback includes pace and clarity. It also suggests areas for improvement. Users see their practice results immediately.

This tool aims to build confidence. Practicing with AI reduces interview anxiety. Job seekers feel more prepared. They can practice anytime, anywhere. No scheduling is needed. Just open the app and start a session. Samsung believes technology should empower people. This feature supports career development. It aligns with Samsung’s focus on practical AI.

The AI interview simulator uses advanced language processing. It understands natural speech patterns. The technology focuses on helpful feedback. It does not judge personality traits. Samsung emphasizes responsible AI use. Privacy is a priority. User interview practice data stays secure. Samsung does not share this data.

(Samsung launched the “AI interview simulation” function, job hunting Easier)

The Global Goals app is free to download. The new interview feature is available now. Samsung hopes this tool benefits many job seekers globally. It is part of their broader AI for All vision. They plan to add more features over time. The goal is simple: make job hunting less intimidating. Samsung continues exploring useful AI applications for daily life. This new tool reflects that commitment.

Sony launches AI olive oil rating

Sony announced a new service today. This service uses artificial intelligence to judge olive oil quality. It targets both shoppers and producers. Sony calls it the “AI Olive Oil Rating System.”

(Sony launches AI olive oil rating)

The company says traditional olive oil testing is slow. It also often requires human experts. Sony believes its AI can do this faster. It might also be more consistent. The system examines many oil samples. It learns to identify top quality oils. This happens without human help.

Sony explained how it works. Producers send oil samples to Sony labs. Special machines analyze the oil. The AI looks at the chemical data. It compares this data to its training. Then it gives a quality score. The score is simple. It uses stars, like one to five stars. A five-star oil is the best.

Sony wants this system to help shoppers. People often find olive oil labels confusing. The AI rating should offer a clear guide. Buyers will know the quality quickly. Producers also benefit. They get a fast, reliable check on their oil. This could help them improve their products.

(Sony launches AI olive oil rating)

The service starts in Japan next month. Sony plans to expand to Europe and North America later this year. Pricing details for producers are still coming. Shoppers will see the ratings on store shelves. Online retailers will show them too. Sony sees this as a step into food technology.

Google DeepMind develops “AI Rainforest”

Google DeepMind announced a new project called “AI Rainforest.” This project creates highly detailed computer models of rainforest ecosystems. Scientists built these models using vast amounts of data about real forests. The data includes information on plants, animals, soil, and weather patterns.

(Google DeepMind develops “AI Rainforest”)

The goal is to understand rainforests much better. Rainforests are vital for Earth’s health. They store huge amounts of carbon dioxide. They also house most of the world’s species. Protecting them is crucial for fighting climate change and saving wildlife.

The AI Rainforest models simulate complex interactions. They show how trees grow. They show how animals find food. They show how everything connects. This helps scientists predict how real forests might react to changes. Changes like rising temperatures or less rain are big concerns.

Researchers can run experiments inside these digital forests. They can test different scenarios safely. They can see what happens if a disease spreads. They can see the effect of cutting down certain trees. This provides valuable insights without harming actual ecosystems.

(Google DeepMind develops “AI Rainforest”)

Google DeepMind believes this tool will speed up conservation efforts. It gives experts a powerful new way to study fragile environments. The project is part of Google’s broader work on using AI responsibly for big challenges. The company hopes it aids global efforts to protect natural resources. The team is now working with leading environmental scientists. They want to refine the models and explore practical applications.

Facebook Tests “Ai Generative Art” Feature To Support Text To Image Conversion

MENLO PARK, Calif. – [Date] – Facebook announced a new test feature today. The feature uses AI to turn text into images. Called “AI Generative Art,” the tool lets users create visuals by typing descriptions. The company aims to simplify digital content creation for its global community.

(Facebook Tests “Ai Generative Art” Feature To Support Text To Image Conversion)

The feature is in early testing. It works by analyzing text inputs and generating matching images. Users can type phrases like “a sunset over mountains” or “a cartoon dog reading a book.” The AI then produces original artwork based on these prompts. Facebook’s parent company, Meta, developed the technology. It relies on advanced machine learning models trained on diverse visual datasets.

A Meta spokesperson explained the goal. The tool is designed to help people express ideas without needing design skills. It could support social media posts, digital art projects, or marketing content. The company stressed that user feedback will shape updates before a wider release.

Privacy and ethics were highlighted as priorities. Meta confirmed the AI avoids copying existing artworks or using personal data without consent. Content policies will block harmful or inappropriate requests. Moderation systems will review generated images to meet community standards.

The test is available to a small group of users in select regions. Access requires opting into Facebook’s experimental features program. Mobile and desktop users can try the tool in the app’s composer section. Meta plans to monitor engagement and technical performance during the trial.

Some experts see potential risks. Over-reliance on AI-generated content might impact creative jobs. Others worry about misinformation if realistic images are made too easily. Meta acknowledged these concerns. The company said it is working with experts to address challenges responsibly.

Interested users can check for updates in Facebook’s announcement center. The team encourages testers to share opinions through in-app surveys. No timeline was given for a full launch. Success depends on balancing innovation with user safety.