A chronological compilation of Elon Musk’s public predictions about Tesla’s autonomous driving capabilities, spanning statements from the mid-2010s through 2026. It catalogs repeated promises that Tesla would achieve fully autonomous, SAE Level 5 driving - allowing a driver to sleep or summon a car cross-country - often with specific target years. It notes Tesla’s current marketing label, “Full Self-Driving (Supervised)” (Dec 2025 update), and that regulators and Tesla consider large-scale autonomy contingent on achieving reliability well above human drivers and securing regulatory approval. FSD and Autopilot are classified as SAE Level 2 as of Jan 2024. A 2023 investor lawsuit claiming securities fraud over Musk’s timelines was dismissed without prejudice in Sep 2024 on the grounds that his statements amounted to corporate puffery.
The list documents a consistent pattern of optimistic, missed deadlines and revised timelines, alongside a few limited deployments and milestones. Notable specifics include a wide release of FSD Beta in Nov 2022 to qualified owners, and a low-key robotaxi pilot launched in Austin on June 22, 2025 that operated in a restricted area with a front-seat safety monitor who could trigger an emergency stop. Musk’s later predictions - large robotaxi fleets, CyberCab production, and millions of fully autonomous Teslas by 2026 - remain unfulfilled or TBD, underscoring delays, regulatory constraints, and constrained real-world rollouts.
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DeepSeek V4.1 Flash 1017 is a sparse mixture-of-experts model built on the Causal Encoder-Decoder architecture, designed for coding, long-horizon tasks, and visual-text understanding. It offers improved performance and cost efficiency, with reduced cache memory and faster task completion compared to previous versions. (openrouter.ai)
DeepSeek-v4.1-Flash-1017 is a multimodal image-text-to-text model available on Hugging Face, optimized for text generation tasks. It supports various precisions and is licensed under MIT, with deployment options in the US region. (huggingface.co)
Ray Myers criticizes OpenAI for prioritizing profit over genuine mathematical progress, accusing it of dishonesty and devaluing workers. He compares the AI industry’s behavior to narcissistic abuse, emphasizing a toxic relationship with artificial intelligence that benefits only the dominant players. (raymyers.org)
Llmspeed allows users to simulate the speed of local large language models on various hardware setups before making a purchase. It provides benchmark estimates based on community data for different models and devices. (llmspeed.dev)
Lithos-metal develops high-performance LLM inference kernels and serving solutions optimized for Apple silicon. The project is hosted on GitHub with 257 stars and 24 forks, focusing on efficient AI model deployment. (github.com)
AI has contributed to a doubling of modestly successful software projects, such as plugins, mods, and extensions, since mid-2025. These projects mainly serve everyday user needs, indicating AI's role in enabling hobbyist and utility software development. (seangoedecke.com)
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