🤖 Anthropic’s “Many-Shot Jailbreaking”

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Welcome back AI enthusiasts!

In today’s AI Report:

• 🔐Anthropic’s “Many-Shot Jailbreaking”

• 🫐Meta Hosts Community Forum on Conversational Chatbots

• ⚙️SWE-Agent for Software Engineering Language Models

• 🛠5 Trending Tools

• 💰Venture Capital Updates

• 💼Who’s Hiring?

Read Time: 3 minutes

🗞RECENT NEWS

ANTHROPIC

🔐Anthropic’s “Many-Shot Jailbreaking”

Anthropic researchers discovered a “jailbreaking” technique called “many-shot jailbreaking” to evade the safety guardrails of Large Language Models (LLMs).

Key Details:

• “Many-shot jailbreaking” involves inserting a series of simulated dialogues to exploit LLM’s in-context learning abilities.

• In other words, users insert a fake dialogue between a human and an AI assistant within a single prompt, followed by the actual query to which they want the answer.

• The likelihood of generating harmful responses increases with the number of dialogues (i.e., “shots”) included in the prompt.

• “Many-shot jailbreaking” is classified as a long-context attack that leverages a large number of simulated dialogues to steer AI model behavior.

Why It’s Important:

• This technique takes advantage of an LLM feature that has grown in popularity over the past year: the context window (i.e., the amount of information an LLM can process).

• At the start of 2023, the average LLM context window was 4,000 tokens. Now, AI models surpass 1,000,000 tokens. So, bad actors can develop large queries to misdirect conversational chatbots and produce harmful responses.

• LLMs with a larger context window can be more informative but also more susceptible to manipulation through prompt engineering.

🩺 PULSE CHECK

META

🫐Meta Hosts Community Forum on Conversational Chatbots

Meta partnered with Stanford’s Deliberative Democracy Lab and the Behavioral Insights Team on a Community Forum that discussed the role and impact of conversational chatbots in society.

Key Details:

• The forum witnessed a diverse participation of 1545 individuals from Brazil, Germany, Spain, and the United States. The participants pondered over the principles guiding generative AI’s user engagement.

• Stanford’s Deliberative Democracy Lab revealed a significant shift in public opinion. Before the forum, 49.8% of Americans believed AI had a “positive impact” on society. However, after the forum, this number increased to 54.4%, marking a 4.6% rise.

• Participants expressed interest in learning more about conversational chatbots like OpenAI’s ChatGPT. They also agreed that context matters for AI models when choosing local or international perspectives and maintained concerns over AI bias, misinformation, and human rights violations.

Why It’s Important:

• The 4.6% increase in AI’s “positive impact” on society suggests open discussions can address public concerns and build trust around AI advancements.

• Meta’s Community Forum emphasizes the importance of considering local and international perspectives when designing AI models, ensuring chatbots are culturally sensitive to avoid perpetuating biases.

AI RESEARCH

⚙️SWE-Agent for Software Engineering Language Models

Princeton’s Natural Language Processing (NLP) Team developed SWE-agent, an open-source system that transforms OpenAI’s GPT-4 into a software engineering agent that autonomously resolves issues in GitHub repositories.

SWE-agent outperformed Devin (i.e., the world’s first fully autonomous AI software engineer) on the SWE-bench benchmark, which evaluates language models on real-world software issues collected from GitHub.

SWE-agent resolved 12.29% of issues autonomously by interacting with a specialized terminal to open files, edit specific lines, and execute tests.

🛠TRENDING TOOLS

🎸Co-Manager offers personalized guidance to power your music career.

🏡HomeScore unlocks personalized home insights to help you make the right real estate choices.

📦AIxBlock is an end-to-end platform that integrates with decentralized supercomputers.

🌳Undermind systematically finds the exact papers you need to solve complex problems.

📚MathGPTPro creates personalized, interactive, and progressive math learning.

🔮Browse our always Up-To-Date AI Tools Database.

💰VENTURE CAPITAL UPDATES

• SaaS entrepreneur Raisinghani’s new AI venture nabs $5.5M to boost sales efficiency.

• HD secures $5.6M to build a Sierra AI for Southeast Asian healthcare.

• Seattle startup OpenPipe raises $6.7M to help companies reduce costs for LLM models.

💼WHO’S HIRING?

• Ripple (San Francisco, CA): Developer Advocate Intern, Summer 2024

• Databricks (Mountain View, CA): IT Data Engineering Intern, Fall 2024

• Motive (Remote): Data Science Intern, Fall 2024

• IXL Learning (San Mateo, CA): Software Engineer, New Grad

• Neuralink (Fremont, CA): Software Engineer, New Grad

🤖PROMPT OF THE DAY

BALLER BUDGET

✂️Cost-Cutting Hacks

Provide me with some ideas and tips on effectively cutting costs when running [Business].

Business = [Insert Here]

📒FINAL NOTE

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❤️AI Pulse Review of The Day

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