The Best AI Model Yet Just Dropped

Anthropic introduces Claude 3.5 Sonnet, a demonstrably superior AI surpassing its predecessor, Claude 3 Opus in reasoning, coding, and content generation. Sonnet 3.5 operates at double the speed with no cost inflation, setting latest benchmarks in AI performance. It excels in tasks requiring graduate-level reasoning, undergraduate-level knowledge, and sophisticated coding assignments, achieving significant improvements over its predecessor in internal coding assessments.

Anthropic emphasizes Sonnet’s improved grasp of nuance, humor, and complex instructions, resulting in more refined natural language outputs. Claude 3.5 Sonnet excels in image processing, transcribing from imperfect sources vital for retail, logistics, and finance.

Sonnet also introduces Artifacts, facilitating real-time editing of AI outputs like code or designs inside chat threads. Artifact allows collaborative refinement of prototypes and workflows, evolving Claude from chat tool to design/development ally. In web preview, Artifacts aim to boost AI integration and boost productivity in creative industries.

Available through the Anthropic API, Claude.ai, and major cloud platforms, it supports a broad range of applications with pricing at $3 per million input tokens and $15 per million output tokens, alongside expanded user interaction features. Read more.

Ilya Sutskever, the brain behind OpenAI and its former chief scientist, has launched into a brand new enterprise, Protected Superintelligence Inc. (SSI), alongside investor Daniel Gross and ex-OpenAI engineer Daniel Levy. Headquartered strategically in Palo Alto and Tel Aviv, SSI is on a mission to tackle what they dub the ‘most pressing technical conundrum of our era’—creating secure superintelligent AI.

SSI’s goal is to advance AI capabilities while ensuring safety stays paramount, by recruiting a select team of top engineers and researchers. Sutskever’s departure from OpenAI in May 2024 followed disagreements with CEO Sam Altman regarding the rapid commercialization and associated safety risks of AI. SSI’s mission, as articulated of their announcement, is singularly focused on creating reliable and secure superintelligent AI, aligning their team, investors, and business model towards this objective. Read more.

Luma AI’s Dream Machine can now generate over a minute of AI video: Luma AI has introduced a big update to its Dream Machine, an AI video generator, enabling the creation of videos over a minute long. Initially, video length was limited to 5 seconds, but the brand new Extend Video feature allows for extending clips as much as 1:20 based on prompts, considering the context for seamless continuation. This tool, available to Standard, Pro, and Premier users, now supports watermark removal and guarantees forthcoming editing features with intuitive controls.

Hugging Face CEO sees a surge in AI startup founders trying to sell: Based on Clément Delangue, CEO of Hugging Face, there was a notable increase in AI startup founders trying to sell their corporations. Delangue reports receiving inquiries from about ten founders weekly interested by acquisition opportunities. Hugging Face, valued at $4.5 billion, recently acquired Argilla for $10 million. This marks the fourth acquisition for the Latest York-based startup, which raised $235 million last 12 months.

Futureverse Launches Jen, An AI Music Model Focused on ‘Transparency’ Futureverse has launched Jen, an AI music model developed by Shara Senderoff and Mike Caren, trained on 40 licensed music catalogs. Jen’s alpha release allows users to generate 10-45 second song snippets from text prompts, with a “continuation” feature to increase tracks as much as 3:30. It utilizes latent diffusion, much like technologies in Stable Diffusion and DALL-E 2, and provides transparency on its workings through research papers.

Latest medical LLM, PathChat 2, can seek advice from pathologists about tumors, offer diagnoses: Mahmood Lab’s PathChat 2, a complicated large language model (LLM), demonstrates exceptional performance in pathology tasks. Combining vision processing and pre-trained language capabilities, PathChat 2 surpasses benchmarks set by previous models (LLaVA, GPT-4V) in image evaluation (78% accuracy standalone, 89.5% with clinical context). PathChat handles various diagnostic tasks reminiscent of differential diagnosis and tumor grading, typically requiring extensive labeled data. It supports pathologists interactively by generating clinically relevant responses and facilitating human-in-the-loop diagnostics.