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Good morning. It’s Friday, August 8th.

On this day in tech history: In 1998, the Belief Networks Inference Tool (BNIT) was released publicly via the CMU AI Repository, one of the first reusable engines for Bayesian networks. It brought Pearl’s probabilistic models out of theory and into usable code, setting the stage for modern approaches to uncertainty in AI systems (from robotics to recommendation engines).

In today’s email:

• GPT-5 Is Here

• Meta’s Experimental XR Headset

• Tesla Abandons Dojo Supercomputer Project

• 5 New AI Tools

• Latest AI Research Papers

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OpenAI's GPT-5 Is Here

OpenAI has officially released GPT-5 across all ChatGPT tiers, replacing all legacy models including GPT-4o, o3, and o4 variants. GPT-5 introduces an adaptive system architecture featuring a fast-response base model, a deeper “GPT-5 Thinking” engine for high-complexity tasks, and an internal smart router that dynamically allocates the right model layer, removing the need for manual model selection.

Hallucination rates are reduced by up to 80% under complex prompts, and factual consistency has improved significantly. For developers, GPT-5 Pro offers expanded context windows, higher throughput, and research-level performance, exclusive to Pro and Team users. Enterprise and Edu tiers retain legacy model access for 60 days, while API access to deprecated models remains unchanged. OpenAI confirmed no immediate plans to sunset those APIs.

Six major updates to ChatGPT include:

• A unified GPT-5 system replaces the model picker, with automatic routing between base and reasoning models.

• “GPT-5 Thinking” mode enables deeper, high-stakes reasoning, available to Pro and Team users for advanced tasks.

• Four built-in personality presets: Cynic, Robot, Listener, and Nerd allow instant control over tone and conversational style.

• Improved “vibe coding” and UI layout generation create functional previews directly in Canvas from natural language inputs.

• Advanced voice mode is more context-aware, customizable, and now available to all users, including support for custom GPTs.

• Gmail and Google Calendar integration allows ChatGPT to summarize threads, manage tasks, and plan schedules, starting with Pro access.

Separately, OpenAI signed a $1-per-agency deal with the U.S. General Services Administration to provide ChatGPT Enterprise to federal agencies. The package includes 60 days of unrestricted model access, onboarding, and a private gov-only community. Details on deployment architecture remain vague, particularly around use of private cloud or on-prem setups, raising flags about compliance and data protection for sensitive government use cases. Read more.

Meta flexes AI and XR muscle with retina-grade headsets and emotional voice tech

Meta is turning up the heat on both mixed reality and generative AI. At SIGGRAPH 2025, it will debut three experimental headsets. The standout, Tiramisu, delivers 90 pixels per degree (3.6× Quest 3), 1,400 nits brightness (14×), and 3× the contrast, bringing VR visuals closer to photorealism. The Boba 3 series focuses on ultra-wide immersion with 180° horizontal × 120° vertical fields of view and dual 4K×4K displays per eye, using Quest 3–grade optics.

On the AI front, Meta has acquired WaveForms AI, a startup building models that detect and synthesize emotional cues in speech. WaveForms, launched by ex-OpenAI and Google engineers, had secured $40M from a16z. The team joins Meta’s Superintelligence Labs, following other high-profile hires from OpenAI, Anthropic, Apple, and GitHub. Combined with Meta’s earlier buyout of Play AI and new voice lead Johan Schalkwyk (ex-Google), the company is investing heavily in emotionally responsive voice agents.

However, internal reviews show cracks in privacy practices. Contractors say users regularly share unredacted names, contact info, and explicit content with Meta’s AI chatbots, raising new alarm bells about data exposure and moderation lapses in Meta’s generative systems. Read more.

Tesla abandons Dojo, doubles down on AI5/AI6

Tesla has officially ended its Dojo supercomputer project, citing internal inefficiencies and leadership turnover, including the exit of architect Peter Bannon. Elon Musk confirmed the move, stating Tesla will no longer split efforts across disparate AI chip designs. The company is now focusing on AI5 and AI6 chips, which Musk claims will be “excellent for inference and at least pretty good for training.” Production will shift to Samsung’s fab in Taylor, Texas, with AI5 chips arriving in late 2026. Nvidia and AMD will supply interim compute, while Musk teased that clustering AI5/AI6 chips could evolve into a leaner “Dojo 3.”

In the new ARC-AGI-2 benchmark report, Grok 4 (Thinking) still outperformed GPT-5 (High), scoring ~16% versus 9.9%, albeit at a significantly higher cost per task ($2–$4 vs. $0.73). On ARC-AGI-1, Grok 4 again led (68%) over GPT-5’s 65.7%. Lighter variants like GPT-5 Mini and Nano reflect expected trade-offs in cost and performance.

OpenAI’s o3-preview still holds the top AGI-1 score (~80%), but with higher compute demands. Early ARC-AGI-3 tests, focused on interactive reasoning, are underway. Musk also confirmed Grok 5 will launch before year-end. Read more.

• Microsoft brings GPT-5 to Copilot apps for Windows, Mac and mobile devices

• Anthropic doubles down on secure AI with new dev tools and talent surge

• Google rolls out Guided Learning and async coding agent Jules

• Midjourney launches HD video mode for Pro and Mega subscribers

• ElevenLabs releases hybrid song creation with real instruments and AI-generated tracks

• Sorry Gen X: Boomers are making millennials their successors for CEO jobs instead because they’re down with AI

• An invisible prompt in a Google Doc made ChatGPT access data from a victim’s Google Drive

• Ideogram now lets developers create characters with a consistent look directly through its API

• The backlash against Duolingo going ‘AI-first’ didn’t even matter

• The initial reactions to OpenAI’s landmark open source gpt-oss models are highly varied and mixed

• This is how malicious hackers could exploit Gemini AI to control a smart home

• Political pressure reportedly kept a major AI vulnerability study under wraps

• Alibaba and OpenAI Split Paths in MoE Design: Depth vs. Efficiency

• Roblox rolls out open-source AI system to protect kids from predators in chat

• Trump Is launching an AI search engine powered by Perplexity

• Alibaba releases dual Qwen3-4B models focused on instruction following and high-level reasoning

• Nvidia rejects possibility of AI chip backdoor

• Cursor 1.4 update boosts AI efficiency for large codebases

• Shape-shifting robotic sheet crawls, folds, and grips with zero mechanical hinges

• Google's search chief says AI-generated answers are not causing a decline in website traffic  

• Universal adds 'No AI Training' warning to movies

📄 VeriGUI: Verifiable Long-Chain GUI Dataset

📄 SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience ​​

📄 LongVie: Multimodal-Guided Controllable Ultra-Long Video Generation

📄 R-Zero: Self-Evolving Reasoning LLM from Zero Data

📄 DeepPHY: Benchmarking Agentic VLMs on Physical Reasoning

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