endless emoji crafting game with llama 2

In January, just days after Microsoft announced plans to lay off 10,000 employees as part of broader cost-cutting measures, the company also confirmed it was making a “multibillion dollar” investment into OpenAI.

Pressure grows on artificial intelligence firms over the content used to train their products

Via: https://a11y.info/@ben/111562480627100685

• Image generation with powerful models chews through a smartphone charge’s worth for each image • Text generation is considerably less expensive, but the indiscriminate deployment of text gen everywhere, such as in search results, means this’ll add up, too • General-purpose models are way more expensive than purpose-made models

“…everybody thinks everyone else’s job is easy. That’s why “AI” is going to replace so many people.”

There’s no question that, as AI has surged in popularity, we have entered an era where code lines are being added faster than ever before. The better question for 2024: who’s on the hook to clean up the mess afterward?

We shouldn’t be willing to accept any amount of bias in these machines that we are building

Ollama JavaScript library. Contribute to ollama/ollama-js development by creating an account on GitHub.

“AI” is a marketing term. There’s the stuff that was mainly called “ML” up until 2021 or so, which definitely has practical uses. E.g., if you’re running a social network and need to help humans find the toxic stuff, ML can help.

Analysis of AI models and hosting providers - choose the best model and provider for your use case

Analysis of AI models and hosting providers - choose the best model and provider for your use case

🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄. - vanna-ai/vanna: 🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.

The fundamental task of software development is not writing out the syntax that will execute a program. The task is to build a mental model of that complex system, make sense of it, and manage it over time.

OpenAI used outsourced workers in Kenya earning less than $2 per hour to scrub toxicity from ChatGPT.

Whether I’m producing a plan or hefty biography, push me towards thinking critically about the work, rather than offering a quick way out.

If I installed new server software that served websites 500% faster but also crashed sometimes, your first question would be “how frequent are the crashes?” and if I shrugged you’d back away slowly and start looking for my replacement.

But with LLMs & hallucinations that’s just normal operating conditions and you’re a luddite if you ask too much about it.

Overall, we find that participants who had access to an AI assistant based on OpenAI’s codex-davinci-002 model wrote significantly less secure code than those without access. Additionally, participants with access to an AI assistant were more likely to believe they wrote secure code than those without access to the AI assistant.

Our goal is to make open source large language models much more accessible to both developers and end users. We’re doing that by combining llama.cpp with Cosmopolitan Libc into one framework that collapses all the complexity of LLMs down to a single-file executable (called a “llamafile”) that runs locally on most computers, with no installation.