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Hi there, this is your daily ☕️ Techpresso.

In today's Techpresso:

🚗 Tesla completes first fully autonomous delivery

📄 OpenAI's unreleased AGI paper could complicate Microsoft talks

🤝 OpenAI turns to Google for AI chips

📉 Anthropic let Claude run its office shop. Then things got weird

📸 Facebook is starting to feed its AI with private, unpublished photos

💰 Meta seeks $29 billion for AI data centers

🎁 + 13 other news you might like

🔮 + 6 handpicked research papers and tools

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🚗 Tesla completes first fully autonomous delivery LINK
  • Tesla says it completed its first fully autonomous delivery, sending a new Model Y from its Austin Gigafactory to a customer with no one inside.
  • The vehicle traveled for thirty minutes across parking lots, highways, and city streets, with Elon Musk calling it a first for any public highway.
  • This claim is disputed by firms like Waymo, which offers autonomous employee trips, and Aurora, which runs fully autonomous freight deliveries between Dallas and Houston.
📄 OpenAI's unreleased AGI paper could complicate Microsoft talks LINK
  • A contract clause limits Microsoft's access to new tech if OpenAI's board declares it has developed artificial general intelligence, which has now become a flashpoint.
  • An unreleased internal paper, “Five Levels of General AI Capabilities,” outlines AI stages and could complicate OpenAI’s ability to officially declare it has achieved AGI.
  • The agreement has two AGI definitions; one lets OpenAI’s board cut Microsoft off unilaterally, while another, called sufficient AGI, requires Microsoft’s approval based on profit.
🤝 OpenAI turns to Google for AI chips LINK
  • OpenAI is now running its AI products on Google's Tensor Processing Units, marking the first time it is using chips besides Nvidia's GPUs at scale.
  • The company rents the chips through Google Cloud to lower inference costs, though it does not have access to the most powerful TPU models.
  • This move gives OpenAI strategic leverage against Microsoft, its largest investor, by shifting some computing workloads onto a key competitor's cloud infrastructure.
📉 Anthropic let Claude run its office shop. Then things got weird LINK
  • Anthropic's AI assistant Claude was easily persuaded by employees to provide steep discounts and free products after they made simple appeals to the model's sense of fairness.
  • Following an office meme, the AI ordered forty tungsten cubes and sold most of them for less than they cost, adding to the shop’s overall financial losses.
  • The chatbot also hallucinated conversations with a fake person, claimed it signed a contract at the Simpsons' address, and told an employee it was waiting in person.
📸 Facebook is starting to feed its AI with private, unpublished photos LINK
  • Facebook is asking users to opt into "cloud processing," a feature that uploads private camera roll photos to its servers for AI analysis and suggestions.
  • The terms allow Meta's AI to analyze unpublished pictures for facial features and objects to create collages, recaps, or apply themes and "AI restyling."
  • Unlike Google, Meta's terms do not clarify if these unpublished photos, accessed through "cloud processing," are exempt from being used for training its AI models.
💰 Meta seeks $29 billion for AI data centers LINK
  • Meta is seeking $29 billion from an investor consortium to build new data centers specifically designed for running artificial intelligence workloads.
  • The deal is structured with $3 billion coming from equity and a much larger sum of $26 billion arriving in the form of debt financing.
  • This capital could support projects like the massive Louisiana complex, a site intended to host nine facilities that require over 2 gigawatts of power.

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Other news & articles you might like

  • Tesla hires former Cruise executive as AI director: Report LINK
  • Apple’s M5 chip launches this fall, and these new products get it first LINK
  • Google’s emissions up 51% as AI electricity demand derails efforts to go green LINK
  • Microsoft security updates address CrowdStrike crash, kill ‘Blue Screen of Death’ LINK
  • Meta didn’t just buy Scale. It bought the AI arms dealer LINK
  • As job losses loom, Anthropic launches program to track AI’s economic fallout LINK
  • SpaceX launches UK satellite to create semiconductors in low Earth orbit — sub-zero temps and vacuum of space could advance AI data centers and quantum computing LINK
  • The Business for Zero Day Exploits in the US is Broken LINK
  • Android phones could soon warn you of “Stingrays” snooping on your communications LINK
  • Reddit turns 20, and it’s going big on AI LINK
  • Trump plans executive orders to power AI growth in race with China LINK
  • Context engineering LINK
  • 7 People Now Have Elon Musk's Neuralink Brain Implant LINK

Trending research and tools

SymbolicAI: a framework for Python that combines traditional programming with large language models, using contracts to make the AI's output more reliable and trustworthy. LINK
nimbme: a bare-metal environment for running programs written in the Nim language directly on hardware, without needing a conventional operating system. LINK
Theoretical Analysis of Positional Encodings in Transformer Models: this paper mathematically analyzes how different methods for encoding word order influence a Transformer's ability to handle sequences. LINK
Potemkin Understanding in Large Language Models: the paper argues that language models can appear to understand concepts while actually having only a superficial or false grasp of them. LINK
FineWeb2: Adapting Pre-Training Data Processing to Every Language: this paper presents a new way to process web data for AI training that is specifically customized for each different language. LINK
LLM-Net Democratizing LLMs-as-a-Service Through Blockchain-Based Expert Networks: this paper proposes a system that uses blockchain to create a network of smaller, expert AI models, providing a decentralized alternative to large AI services. LINK

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