ONE BIG READ

Meta’s biggest AI model yet

Earlier this year, Meta hinted at a significant development in AI: an open-source model that could rival the best from companies like OpenAI. Today, Meta officially launched Llama 3.1, claiming it surpasses other leading models such as GPT-4o and Anthropic’s Claude 3.5 Sonnet in several benchmarks.

Llama 3.1, the largest open-source AI model to date, boasts 405 billion parameters and has shown superior performance compared to its competitors. The Llama-based Meta AI assistant is also expanding to more countries and languages and now includes a feature for generating images based on specific likenesses. CEO Mark Zuckerberg predicts Meta AI will become the most widely used assistant by the end of the year, overtaking ChatGPT.

Meta has been tight-lipped about the data used to train Llama 3.1. The company disclosed that it used synthetic data—generated by a model rather than humans—to enhance the 405-billion parameter version of Llama 3.1 from its smaller 70 billion and 8 billion versions. Ahmad Al-Dahle, Meta’s VP of generative AI, believes Llama 3.1 will be popular with developers as “a teacher for smaller models that are then deployed” in a “more cost-effective way.”

Llama 3.1 is significantly more advanced than its predecessors, having been trained using over 16,000 of Nvidia’s H100 GPUs. Despite the high development costs, Meta is releasing Llama 3.1 with an open-source license, encouraging contributions and modifications from developers. Zuckerberg argues that open-source AI models will outpace proprietary ones, similar to how Linux became the dominant open-source operating system.

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PRODUCT HIGHLIGHT

Nail the worst parts of the job hunt

Finding a job seems harder than ever. Not a day passes that I don’t see someone on LinkedIn or X complaining about getting ghosted from job interviews or mismatched expectations on salary requirements.

The great news is that we’ve come a long way from the humble job board. I’ve been seeing several personalized, innovative products launch to help job seekers recently, including Overlap and Nextplay, which help professionals network with the right people. Now AI is joining in to help.

Jobright is an AI search copilot that helps with some of the most time-consuming parts of the job search, like finding job matches that are actually a good fit, tailoring your resume to those job matches, and writing a cover letter.

You get started by going through the onboarding process, where you’ll choose relevant titles and requirements (e.g. job location). Once you upload your resume, the platform will get to work ranking jobs, which it aggregates from major job sites. You can click in to see details. These pages look a lot like most job postings but also include things like how strong of a match the job is to your experience level and industry. In your sidebar, you can shoot off prompts like “Show me connections for a potential referral” or “Write me a cover letter.” When you’re ready to apply to a job, Jobright will suggest tailoring your resume. This, to me, is the most useful part — tailoring your resume is crucial to passing ATS platforms. Click the button to tailor and Jobright will do the work for you. You can then download a PDF or Word doc, and go forward with applying.

Jobright is founded by Ethan Zheng, who was formerly an engineering lead at Twitter, and Eric Cheung, an early employee at Box and second-time founder, having previously exited his company, Fangcloud, through acquisition.

Check out Jobright here

AI IN THE HEADLINES

🤖 OpenAI has launched a new lightweight version of GPT-4o.

🌦️ Google Researchers built a new weather prediction model using AI.

🇪🇺 Meta says it won’t release its upcoming multimodal LLM in the EU.

✍️ Proton Mail is adding an AI writing assistant called Scribe.

💗 Tinder has a new AI tool that helps you pick the best pictures for your profile. 

👾 Elon Musk announced that xAI is training the “most powerful AI training cluster in the world,” called Memphis Supercluster.