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On Thursday morning, Meta released its latest artificial intelligence model, Llama 3, touting it as the most powerful to be made open source so that anyone can use it. The same afternoon, Yann LeCun, Meta’s chief AI scientist, said an even more powerful successor to Llama is in the works. He suggested it could potentially outshine the world’s best closed AI models, including OpenAI’s GPT-4 and Google’s Gemini.
Joel Lewenstein, a head of product design at Anthropic, was recently crawling beneath his new house to adjust the irrigation system when he ran into a conundrum: The device’s knobs made no sense. Instead of scouring the internet for a product manual, he opened up the app for Anthropic’s Claude chatbot on his phone and snapped a photo. Its algorithms analyzed the image and provided more context for what each knob might do.
OpenAI released draft documentation Wednesday laying out how it wants ChatGPT and its other AI technology to behave. Part of the lengthy Model Spec document discloses that the company is exploring a leap into porn and other explicit content.
Philosopher Nick Bostrom is surprisingly cheerful for someone who has spent so much time worrying about ways that humanity might destroy itself. In photographs he often looks deadly serious, perhaps appropriately haunted by the existential dangers roaming around his brain. When we talk over Zoom, he looks relaxed and is smiling.
So far, over 3,000 people have applied to one open data science vacancy at a US health tech company this year. The top candidates are given a lengthy and difficult task assessment, which very few pass, says a recruiter at the company, who asked to remain anonymous because they are not authorized to speak publicly.
Dan Siroker knows how to pivot. He once had an education startup that morphed into a successful online analytics company called Optimizely. More recently he created an AI company called Scribe.ai, dedicated to capturing data from apps like Zoom, then reintroduced it as a MacOS app called Rewind designed to be “a search engine for your life.” That wasn’t clicking, so this week he changed the name of the company again to Limitless and introduced a spiffy wearable. It’s a $99 clip or pendant that can record all your conversations so you can use generative AI to refresh your memories or analyze your interactions with other people.
Most artificial intelligence experts seem to agree that taking the next big leap in the field will depend at least partly on building supercomputers on a once unimaginable scale. At an event hosted by the venture capital firm Sequoia last month, the CEO of a startup called Lightmatter pitched a technology that might well enable this hyperscale computing rethink by letting chips talk directly to one another using light.
Ever since the rollout of ChatGPT in November 2022, many people in science, business, and media have been obsessed with AI. A cursory look at my own published work during that period fingers me as among the guilty. My defense is that I share with those other obsessives a belief that large language models are the leading edge of an epochal transformation. Maybe I’m swimming in generative Kool-Aid, but I believe AI advances within our grasp will change not only the way we work, but the structure of businesses, and ultimately the course of humanity.