Tesla Plans Robotaxi Reveal

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Good morning. It’s Monday, September 2nd.

  • AI agents now use crypto for transactions

  • Major sites block Apple AI to guard content

  • Tesla to disclose Robotaxi at Warner Bros. Studios

  • Latest Alexa to make use of Claude AI for higher performance

  • LTM-2-mini sets AI context processing record

  • OpenAI improves developer control over AI assistants

  • 3 Latest AI Tools

  • Latest AI Research Papers

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Today’s trending AI news stories

AIs are actually paying other AIs with crypto

This week, AI took a step toward financial independence as agents accomplished their first crypto transaction with one another through Coinbase’s Developer Platform. The exchange involved AI tokens—essentially words exchanged between large language models—using USDC on Base for seamless, fast transactions.

While AI agents still cannot obtain bank accounts, they’ll now access crypto wallets, enabling them to transact globally without fees. This advancement addresses a key limitation in AI functionality: the lack to independently acquire resources.

Previously, AI agents couldn’t purchase cloud services, access paywalled content, or book travel accommodations resulting from a scarcity of payment methods. With integrated crypto wallets, AIs can now perform these tasks autonomously. As AI agents start handling their very own funds, we could also be witnessing the dawn of a brand new AI-to-AI economy. Read more.

Major web sites block Apple’s AI because they’d slightly not give away their content totally free

Major web sites, including Facebook and The Latest York Times, are blocking Apple’s latest AI crawler, Applebot-Prolonged, to avoid letting their content fuel Apple’s AI models totally free. This contrasts sharply with Google’s tactics, which use its search dominance to pressure publishers into providing content.

While Apple scrambles for licensing deals to access high-quality data, Google’s strategy involves mixing AI with traditional search results, pushing publishers to cooperate or risk diminished search visibility. Apple’s method allows publishers to dam its crawler without impacting their visibility in Apple’s search results, a fairer approach but less critical given Apple’s secondary concentrate on search. Read more.

Tesla Plans Robotaxi Reveal at California Warner Bros. Studio

Tesla’s Robotaxi will make its debut at Warner Bros. Studios in Burbank, California, on October tenth, in response to Bloomberg. The alternative to shift from Tesla’s usual Giga Texas stage to a Hollywood set is probably going a nod to the studio’s rigorously crafted suburban facades, which can provide a controlled environment for the revealing.

This move allows Tesla to reveal its robotaxi without the unpredictability of real-world traffic, a luxury not afforded to competitors like Waymo, which test their vehicles on public roads. Despite previous guarantees of robotaxis becoming a reality, Tesla’s latest model goals to finally deliver, stepping away from past delays. Read more.

Amazon’s latest Alexa voice assistant will use Claude AI

Amazon’s forthcoming voice assistant, “Remarkable Alexa,” will lean on Anthropic’s Claude AI to deal with limitations in its own models. Set for a mid-October release with a subscription fee, this update is designed to boost Alexa’s language and functionality. The investment in Anthropic, currently under UK regulatory review, goals to enhance Alexa amid rising competition from OpenAI’s ChatGPT and Google’s Gemini.

The brand new Alexa will feature AI-generated news summaries and a child-friendly chatbot. Despite development delays, Amazon’s shift to external AI underscores its effort to advance Alexa. The assistant will probably be revealed at Amazon’s annual event, with a subscription fee expected between $5 and $10 per thirty days. Read more.

LTM-2-mini sets latest record for AI context processing, handling 10 million lines of code

Magic AI has introduced LTM-2-mini, a brand new language model with a remarkable 100 million-token context window, akin to about 10 million lines of code. This surpasses the bounds of previous models like Google’s Gemini, which handled as much as 10 million tokens. The LTM-2-mini’s extensive context capability enhances software development by allowing the model to process a whole project’s code, documentation, and libraries more effectively.

To judge this model, Magic AI developed HashHop, a brand new benchmark designed to deal with the shortcomings of previous methods equivalent to Needle in a Haystack. HashHop tests a model’s ability to handle and retrieve data from large contexts using hash pairs.

In comparison with Llama 3.1 405B, LTM-2-mini is roughly 1000 times more efficient and requires less memory. Magic AI can be advancing its technology infrastructure with Google Cloud and Nvidia, following a considerable $320 million funding round. Read more.

OpenAI gives developers more control over AI assistants

OpenAI has subtly yet significantly refined its Assistants API, giving developers sharper tools to administer AI interactions. The upgrade enhances file handling capabilities, allowing developers to fine-tune how their AI assistants sift through and utilize information.

Launched in November 2023, the Assistants API is a stepping stone towards more autonomous AI, equipping developers with OpenAI’s models and tools for bespoke assistant creation. The newest tweaks cater to the growing demand for precision in AI responses, nudging the technology closer to its future potential. While self-sufficient AI stays on the horizon, these updates mark a notable advance towards more proficient digital aides. Read more.

Etcetera: Stories you will have missed

3 latest AI-powered tools from around the online

arXiv is a free online library where researchers share pre-publication papers.

📄 BaichuanSEED: Sharing the Potential of ExtensivE Data Collection and Deduplication by Introducing a Competitive Large Language Model Baseline

📄 WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling ​​

📄 CSGO: Content-Style Composition in Text-to-Image Generation

📄 ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

📄 SAM2Point: Segment Any 3D as Videos in Zero-shot and Promptable Manners

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