Unlike X, Bluesky Says It Won't Train AI On Your Social Posts
Unlike X, Bluesky Says It Won't Train AI On Your Social Posts
Bluesky, a social network that’s experiencing a surge in users this week as users abandon X, says it has “no intention” of using user content to train generative AI tools.
The social network made the announcement on the same day that X (formerly Twitter) is implementing its new terms of service that allow the platform to use public posts to train AI.
“A number of artists and creators have made their home on Bluesky, and we hear their concerns with other platforms training on their data,” Bluesky said in a post on its app. “We do not use any of your content to train generative AI, and have no intention of doing so.”
The company went on to note that it uses AI internally to help with content moderation and that it also uses the technology in its “Discover” algorithmic feed. However, Bluesky says “none of these are Gen AI systems trained on user content.”
More about Bluesky Vs X on AI training on TechCrunch
Sarah Guo’s Speaks With OpenAI's CPO Kevin Weil, Anthropic's CPO Mike Krieger
A conversation with Mike Kreiger (CPO of Anthropic) and Kevin Weil (CPO of OpenAI), moderated by Sarah Guo (Conviction). Recorded live at Lenny and Friends Summit on October 24th in San Francisco, California.
AI Is Now Designing Chips For AI
AI software is rapidly accelerating chip design, potentially leveling up the speed of innovation across the economy.
It’s 2028, and your tech startup has an idea that could revolutionize the industry — but you need a custom designed microchip to bring the product to market. Five years ago, designing that chip would’ve cost more than your whole company is worth, but your team is now able to do it at a fraction of price and in a fraction of the time — all thanks to AI, fittingly being run on chips like these.
AI in chip design
Microchips are the foundation of modern technology, and historically, the process of designing them has been left up to a few highly skilled engineers.
Today, powerful new AI systems are helping engineers with this process — and this collaborative approach could be the key to making sure we’re able to develop even more powerful AIs in the future.
More about AI designing chips for AI on Big Think
Five Productivity Hacks with ChatGPT’s Head of Product, Nick Turley
For ChatGPT’s second birthday, Nick Turley, ChatGPT head of product at OpenAI, stops by to tell us where it goes from here and share some of his favorite hacks.
For Truly Intelligent AI, We Need To Mimic The Brain’s Sensorimotor Principles
In a recent essay by Sam Altman, titled “The Intelligence Age,” he paints a picture for the future of AI. He states that with AI, “fixing the climate, establishing a space colony, and the discovery of all of physics—will eventually become commonplace.” On an individual level, he states (italics added), “We can each have a personal AI team, full of virtual experts in different areas, working together to create almost anything we can imagine.” The benefits of AI, according to Altman, will soon be available to everyone around the world.
These claims are absurd, and we shouldn’t let them pass without criticism. Subsistence farmers in central Asia can imagine living in a villa on the Riviera, but no AI will make that happen. The “discovery of all of physics,” if even possible, will require decades or centuries of building sophisticated experiments, some of which will be located in space. The claim that AI will make this commonplace doesn’t even make sense.
Altman isn’t alone in claiming that we are on the cusp of creating super-intelligent machines that will solve most of the world’s problems. This is a view held by many of the people leading AI companies. For example, Dario Amodei, CEO of Anthropic, has proposed that AI will soon be able to accomplish in five to 10 years what humans, unassisted by AI, would accomplish in fifty to one hundred years. Although not guaranteed, he thinks AI will likely eliminate most cancers, cure most infectious diseases, and double the human lifespan. These advances will occur because AI will be much smarter than humans. As he put it, we will be “a country of geniuses,” although they will be “geniuses in a datacenter.”
More about what’s needed to create truly intelligent AI
Apple Plans Smart Home Tablet With AI Personality | Bloomberg’s Mark Gurman
Apple is preparing to unveil a new AI-enabled device, as it works to catch up with rivals in the smart home market. Sources say the company is gearing up to announce the device as early as March and will position it as a command center for the home. Technology Reporter Mark Gurman reports on "Bloomberg: The Asia Trade."
The New Paradigm: Architecting The Data Stack For AI Agents
The launch of ChatGPT two years ago was nothing less than a watershed moment in AI research. It gave a new meaning to consumer-facing AI and spurred enterprises to explore how they could leverage GPT or similar models into their respective business use cases. Fast-forward to 2024: there’s a flourishing ecosystem of language models, which both nimble startups and large enterprises are leveraging in conjunction with approaches like retrieval augmented generation (RAG) for internal copilots and knowledge search systems.
The use cases have grown multifold and so has the investment in enterprise-grade gen AI initiatives. After all, the technology is expected to add $2.6 trillion to $4.4 trillion annually to the global economy. But, here’s the thing: what we have seen so far is only the first wave of gen AI.
Over the last few months, multiple startups and large-scale organizations – like Salesforce and SAP – have started moving to the next phase of so-called “agentic systems.” These agents transition enterprise AI from a prompt-based system capable of leveraging internal knowledge (via RAG) and answering business-critical questions to an autonomous, task-oriented entity. They can make decisions based on a given situation or set of instructions, create a step-by-step action plan and then execute that plan within digital environments on the fly by using online tools, APIs, etc.
More about architecting the data stack for AI agents on Venture Beat
OpenAI’s ChatGPT macOS App Work with Apps Feature
ChatGPT for macOS can now work with your apps. In this early beta, you can let ChatGPT look at coding apps to provide better answers. It supports VS Code, Xcode, TextEdit, Terminal and iTerm2.
Thats all for today, however new advancements, investments, and partnerships are happening as you read this. AI is moving fast, subscribe today to stay informed.