the party of alternative reality ai slop https://
theatlantic.com/technology/arc
hive/2024/08/trump-posts-ai-image/679540/
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SAFETY
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Trump’s AI-Generated Images Raise Authenticity Concerns
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FastHTML tool for LLM red teaming and prompt engineering tricks
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Cool new FastHTML app!
— Jeremy Howard (@jeremyphoward) 10 septembre 2024
For red teaming LLMs, it lets you rapidly try lots of cunning tricks like encoding the naughty bits of a prompt in braille, or adding prefill such as "sure I can do that for you".
("way more fun to make than writing it in js", @peluchewastaken told us) https://t.co/cAOfJabITSCool new FastHTML app! For red teaming LLMs, it lets you rapidly try lots of cunning tricks like encoding the naughty bits of a prompt in braille, or adding prefill such as "sure I can do that for you". ("way more fun to make than writing it in js", @peluchewastaken told us)
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AI Creates Lifelike Videos: Detecting Synthetic Content
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#AI Can Now Create Lifelike Videos. Can You Tell What’s Real?
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AI Against AI-Generated Attacks: Defense and Security
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AI Security: Can AI Defend Against AI-Generated Attacks?
Françoise Soulié-Fogelman from @HubFranceIA explores this question in a special report in ActuIA n°16. ActuIA is available in store
https://boutique.actuia.com
#Security -
Mosaic AI Gateway Updates: Advanced Governance for GenAI Models
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Thrilled to introduce new updates to #MosaicAI Gateway! Simplified, secure & governed AI for all your GenAI models. This release adds advanced features in usage tracking, payload logging & guardrails to help customers accelerate their AI initiatives.
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Understanding AI: Human Labor and How It Really Works
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a really important thing to remember if you work in AI or write about AI or complain about AI or celebrate AI (or all 4) is that most people still don't understand how it works, how it's built and how much human labor is a part of it. this may sound obvious but we often forget.
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AI Evaluation Ecosystem Needs Better Benchmark Overfitting Detection
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The whole Reflection-70B debacle points the the desperate need for a better AI evaluation ecosystem. It needs to be extremely easy to adjudicate:
(1) is the model overfit to benchmarks
(2) is the model truly unique (i.e. not a wrapper or thin fine-tune) https://
x.com/shinboson/stat
/shinboson/status/1832933747529834747
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Trevor Paglen Lecture at UC Berkeley on Psyops and AI
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Looking fwd to Tues @4pm when @TrevorPaglen will present this lecture @UCBerkeley Center for New Media (BCNM) @browercenter ! https://
bcnm.berkeley.edu/events/13/art-
tech-culture/6034/you-ve-just-been-f-d-by-psyops-ufos-magic-electronic-warfare-mind-control-artificial-intelligence-and-the-death-of-the-internet
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Beyond Human Preference: Reframing AI Alignment Challenges
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9). Beyond Preference in AI Alignment – challenges the dominant practice of AI alignment known as human preference tuning; explains in what ways human preference tuning fails to capture the thick semantic content of human values; argues that AI alignment needs reframing, instead
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AI Use Guidelines: Testing, Understanding, and Quality Assurance
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Feel free to use AI to help contribute to any of my projects. BUT: Be sure you fully understand exactly what it's doing, you've thoroughly tested and proof-read any outputs, & that it's work you're proud of and are ready to stand behind. Edit prose & refactor code vigilantly.