Michael Brenner @[email protected] retweeted
How it started
How it's going
Michael Brenner @[email protected] retweeted
copilot was spitting here
Michael Brenner @[email protected] retweeted
Story telling magic:
In this immersive room you and your AI-adjusted shadow become part of a story of shadows.
Whole space interacts with your movements and the light you carry.
A project by artist Joon Moon (🔗 in next tweet)
Michael Brenner @[email protected] retweeted
the old expert systems, for all their issues, were premised on transferring the knowledge and skill of specialists into the machine so it could be made available to others
which included guiding users step by step through the right questions to get them to the right answer
Michael Brenner @[email protected] retweeted
Got a new prompt I am going to drop into any thread where someone says "correlation doesn't equal causation" - it uses a modified version of our tutor prompt to actually teach about the topic chat.openai.com/share/982701…
Also a really nice example of the potential power of AI tutors.
Michael Brenner @[email protected] retweeted
Another paper testing whether AI plagiarism detectors work.
...and, just like all the other papers testing AI plagiarism detectors, the answer is NO.
Don't use them. Seriously. arxiv.org/ftp/arxiv/papers/2…
Michael Brenner @[email protected] retweeted
Falls Euch mal wieder wer mit dem Argument kommt, es wäre doch sinnlos, in DE mehr fürs #Klima zu tun, weil #China sei ja viel schlimmer, dann antwortet mit diesem Thread zum krassen (!) Ausbau von #Erneuerbaren Energien dort, plus weltweit führender Aufforstung! ⬇️
Michael Brenner @[email protected] retweeted
Days after Meta open sources Llama 2, we have “WormGPT, an AI tool taking off across cybercrime forums on the dark web”
... "We instructed WormGPT to generate an email to pressure an unsuspecting account manager into paying a fraudulent invoice.
The results were unsettling... WormGPT produced an email that was not only remarkably persuasive but also strategically cunning, showcasing its potential for sophisticated phishing and BEC [Business Email Compromise] attacks.”
“GPTJ-based WormGPT is designed to produce human-like text that enables hackers to perform attacks on a never-before-seen scale.”
“This tool presents itself as a blackhat alternative to GPT models, designed specifically for malicious activities,” said security researcher Daniel Kelley.
“What does this mean for the rest of us? Essentially it boils down to the speed and number of scams a language model can generate at once, which is obviously worrying when you consider how fast language models can generate text.
This makes cyberattacks such as phishing emails particularly easy to replicate when put in the hands of even a novice cybercriminal.”
“Generative AI can create emails with impeccable grammar, making them seem legitimate and reducing the likelihood of being flagged as suspicious,” Kelley said.
“The use of generative AI democratises the execution of sophisticated BEC attacks. Even attackers with limited skills can use this technology, making it an accessible tool for a broader spectrum of cybercriminals.”
The introduction of WormGPT across the dark web comes as researchers from Mithril Security ‘surgically’ modified an existing open-source AI model, dubbed PoisonGPT, to make it spread disinformation
…
“We’re now seeing an unsettling trend among cybercriminals on forums, evident in discussion threads offering “jailbreaks” for interfaces like ChatGPT.”
"This method introduces a stark implication: attackers, even those lacking fluency in a particular language, are now more capable than ever of fabricating persuasive emails for phishing or BEC attacks." slashnext.com/blog/wormgpt-t…
Michael Brenner @[email protected] retweeted
this paper's nuts. for sentence classification on out-of-domain datasets, all neural (Transformer or not) approaches lose to good old kNN on representations generated by.... gzip aclanthology.org/2023.findin…
Michael Brenner @[email protected] retweeted
Sitzung zum Thema Überprüfbarkeit, Normung, Regulierung von KI-Systemen. Man sieht, dass die Meinungen der Experten und Expertinnen kohärenter werden. Die Frage bleibt: Wann müssen wir das System an sich prüfen, wann den sozialen Prozess, in den es eingebettet ist? Ein Beispiel:
Michael Brenner @[email protected] retweeted
Of 14 AI detection tools, none worked well enough to warrant use in education. It’s a preprint so read with caution, but in my opinion it’s still some of the best evidence we have on the effectiveness of these tools.
Is AI detection a hoax? Co-author on new preprint testing 14 systems with a gold standard document set. None work well enough for use in educational settings arxiv.org/abs/2306.15666 Presenting at #ECEIA2023 today
@WeWuWiWo @SonjaBjelobaba @TFoltynek @jguerreodib @LornaWaddington
Michael Brenner @[email protected] retweeted
How do we know how smart AI systems are? | Science science.org/doi/10.1126/scie…
Michael Brenner @[email protected] retweeted
Visual Studio Code (VS Code) for Education is now available in preview!
VS Code for EDU was created to support students looking to move from beginner platforms like MakeCode, to industry-grade code editors like VS Code
👉 techcommunity.microsoft.com/…
#edtech #STEM #MIEExpert
Michael Brenner @[email protected] retweeted
One of the weird ways that AI is not like traditional software is that you can persuade it to break its own rules by being super convincing or clever in plain English
Here is a great way to experience this. Can you get the wizard to give you the password? gandalf.lakera.ai/
Michael Brenner @[email protected] retweeted
Inspiring demo! Sit back and talk to your computer with high-level instructions, collaborating on a larger document.
Voice commanded essay copilot
I always wanted the ability to lean back in my chair and talk an essay into existence, rambling as needed, letting the AI organize my thoughts.
Transcription: @ggerganov's whisper.cpp
App: @TauriApps
Backend: GPT 3.5 with new functions API
Michael Brenner @[email protected] retweeted
Eines der Ergebnisse des tollen #barcampKI2023 ist eine Linkliste: "ÄI in THE LÄND – Linksammlung zum Lehren und Lernen mit und über KI in den Schulen in Baden-Württemberg". Die Liste ist ein erster Aufschlag, soll wachsen und freut sich über Anregungen. t1p.de/ai-bw
Michael Brenner @[email protected] retweeted
Problem: #ChatGPT is definitely bad at Math 🤦
My solution: 👉MathGPT 🤓
MatGPT is an @streamlit app that uses @openai GPT-3 + Numpy @numpy_team to handle mathematical operations (vectors, matrices) and even College physics problems. Check the video 👇
Cc. @DataChaz ✌️
Michael Brenner @[email protected] retweeted
Dieser Kommentar von @hiwthi_HH ist sicher ironisch gemeint, aber es ist ein gutes Beispiel, um zu demonstrieren, was man tun kann, wenn man sich von ChatGPT in seiner Meinung von ChatGPT bestätigt fühlt.
In dem Prompt, der zu dem Text von ChatGPT führt, werden Namen genannt
Michael Brenner @[email protected] retweeted
Wir dürfen beim Experimentieren und Herumspielen mit #KI #ChatGPT in Schule nicht stehen bleiben. Es braucht eine wiss. Begleitung, damit klar wird, wann und wie die lernförderlichen Potenziale von KI zum Tragen kommen. @dwkro @Alx_Scheidt @keimanling @FugmannMartin @YBansmann
Michael Brenner @[email protected] retweeted
I was pretty impressed by the @RoyKishony's Quibbler demo. It has the highest payoff for least amount of effort that I've seen in a long time.
Imagine converting static data analysis to interactive analysis with only one line of code.
I recommend taking five minutes to try it.
Excited to launch Quibbler, an open-source Python package for interactive data analysis. Fun to use. Nothing to learn. Your standard code effortlessly comes to life! With the amazing Maor Kern, @kmaork. github.com/Technion-Kishony-…, #python, #data









































