Boaz Wasserman

307 posts

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Boaz Wasserman

Boaz Wasserman

@BoazWasserman

Security everything.

Katılım Kasım 2018
101 Takip Edilen135 Takipçiler
Ethan Mollick
Ethan Mollick@emollick·
Most of the AI-generated images you are used to seeing around here are attempts at art, with a few models & famous people thrown in. So you may not realize it is really good at producing convincing photos of standard boring scenes. I generated these fake conference photos.
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mRr3b00t
mRr3b00t@UK_Daniel_Card·
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Uri Eliabayev
Uri Eliabayev@urieli17·
זה הגיע גם לפה 😰
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Boaz Wasserman
Boaz Wasserman@BoazWasserman·
@KevinAFischer 100% It doesn't make sense to expect GenAI will get better but at the same time expect it to be easy to find difference between it and human outputs
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Kevin Fischer
Kevin Fischer@kevinafischer·
OpenAI quietly shut down their AI classifier As I mentioned before, this product is not feasible or possible to create - with skilled operators GPT’s output cannot be distinguished from human output, and in many cases is better than the human output alone
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Boaz Wasserman
Boaz Wasserman@BoazWasserman·
@Nexuist Looks like someone needs to sort out their hyperparameters 😅
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Boaz Wasserman
Boaz Wasserman@BoazWasserman·
By prompting the agent in the example notebook with a prompt-injection payload, I was able to make it go out to a canary token while revealing an authorization token it was configured to use.
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Boaz Wasserman
Boaz Wasserman@BoazWasserman·
LLM based agents are growing in popularity, and I often wonder how many people are aware of the risks in enabling LLMs to use tools. While playing with LlamaIndex agents, I came across an example notebook for an OpenAPI + Requests based agent which is vulnerable to SSRF.
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Adam.GPT
Adam.GPT@TheRealAdamG·
I also can’t wait for the addition of GPT-3.5-turbo “instruction following” style model(s). The ChatML format is amazing, but sometimes plan old IF is what you need most for a use case or part of a use case. openai.com/blog/gpt-4-api…
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Boaz Wasserman
Boaz Wasserman@BoazWasserman·
@samhogan This is definitely one of the most mature LLM capabilities. However the cost compared to old school hardcoded scraping is something to consider. LinkedIn has 900m users, with 100 tokens per user you end up with $180,000 OpenAI bill on gpt3.5 ($0.002/1k tokens)
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Sam Hogan 🇺🇸
Sam Hogan 🇺🇸@samhogan·
Companies like LinkedIn store structured user data in a database. They convert that data to semi-structured HTML to display to users. Using LLMs it’s possible to convert semi-structured HTML back to structured data and store in DB. Theoretically you could vampire attack most UGC businesses this way by rebuilding their social graph outside of their platforms.
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Abhinav Upadhyay
Abhinav Upadhyay@abhi9u·
I've seen countless people wonder and ask about the mysterious warning from git about missing newline at the end of a file. Here's the answer: The reason is rooted in the history of Unix. In Unix, text files were differentiated by the presence of '\n' character. If a file did not have it, it wasn't a text file. Also, most of the text processing utilities work with lines. They try to parse the text by the newline and then work with it. Having a newline character on the last line just made things simpler for these utilities. It's possible in the old days, some of those might even crash without a newline. However, I think almost everything is able to handle that missing newline on the last line. Another reason, the git diff command complains about the missing newline at the end is because it makes the diff confusing. If you commit a file without a newline on last line, then when you add more things to that file, the diff will look weird because as far as the diff program is concerned you modified the last line, too (by adding a newline and then adding new text after that). PS: Another interesting point about newlines. On most operating systems, the stdout file is line buffered, that means it is flushed whenever a new line is added to it. If you are connecting two processes via a pipe (such as cat foo.txt | uniq), you are connecting the stdout of the first process to the stdin of the 2nd. If the first process does not write a newline on its last line, there might be a delay before the last line is received by the 2nd process. (Although it can be implementation dependent, some implementations might detect that the output is not going to a terminal and disable buffering.)
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LaurieWired
LaurieWired@lauriewired·
I believe I just discovered ANOTHER novel Jailbreak technique to get ChatGPT to create Ransomware, Keyloggers, etc. I took advantage of a human brain word-scrambling phenomenon (transposed-letter priming) and applied it to LLMs. Although semantically understandable the phrases are syntactically incorrect, thereby circumventing conventional filters. This bypasses the "I'm sorry, I cannot assist" response completely for writing malicious applications. More details in the thread.
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Jerry Liu
Jerry Liu@jerryjliu0·
A nice aspect of the OpenAI Function API + @llama_index is that it’s super easy to build a “natural language client” to ANY API interface. 💬 For instance, here’s how to easily build a Yelp restaurant assistant w/ Colab - no context window hacking! 👇 colab.research.google.com/drive/1Mia4wCM…
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Boaz Wasserman retweetledi
Harrison Chase
Harrison Chase@hwchase17·
🧪langchain_experimental In an effort to make langchain leaner, more focused, and safer, we are moving select chains to a separate package on 7/28 Big thanks to folks like @BoazWasserman @OrRaz6 Justin Flick for pushing on the safety part There will be some breaking changes 🧵
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Boaz Wasserman
Boaz Wasserman@BoazWasserman·
Pizza night 🍕🍕🍕
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