Supabase MCP can leak your entire SQL database
Supabase MCP'saccess can barge right past RLS,spilling SQL databaseswhen faced with sneaky inputs. It's a cautionary tale from the world ofLLM system trifecta attacks...
Updates and recent posts about GPT.. Link
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@faun shared a link, 1Â month, 2Â weeks ago
Meta Hires OpenAI Researchers to Boost AI Capabilities
Metacranks up its AI antics. They've snagged former OpenAI whiz kids, snatched 49% ofScale AI, and roped in enough nuclear energy to keep their data hubs humming all night long...
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@faun shared a link, 1Â month, 2Â weeks ago
A non-anthropomorphized view of LLMs
CallingLLMssentient or ethical? That's a stretch. Behind the curtain, they're just fancy algorithms dressed up as text wizards. Humans? They're a whole mess of complexity...
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@faun shared a link, 1Â month, 2Â weeks ago
âShit in, shit outâ: AI is coming for agriculture, but farmers arenât convinced
Aussie farmers want "more automation, fewer bells and whistles"âtechnology should work like a tractor, not act like an app:straightforward, adaptable, and rock-solid...
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@faun shared a link, 1Â month, 2Â weeks ago
Massive study detects AI fingerprints in millions of scientific papers
Study finds 13.5% of 2024 PubMed papers bear LLM fingerprints, showcasing a shift to jazzy "stylistic" verbs over stodgy nouns.Upending stuffy academic norms!..
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@faun shared a link, 1Â month, 2Â weeks ago
From Big Data to Heavy Data: Rethinking the AI Stack
Savvy teams morph dense data into AIâs favorite meal: bite-sized chunks primed for action, indexed and ready to go. This trick spares everyone from slogging through the same info over and over. AI craves structured, context-filled data to keep it grounded and hallucination-free. Without structured p..
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@faun shared a link, 1Â month, 2Â weeks ago
The Portable Memory Wallet Fallacy: 4 Fundamental Problems
Portable AI memory pods hit a brick wallâvendors cling to data control, users resist micromanagement, and technical snarls persist.So, steer regulation towards automating privacy and clarifying transparency. Make AI interaction sync with how people actually live...
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@faun shared a link, 1Â month, 2Â weeks ago
Document Search with NLP: What Actually Works (and Why)
NLP document search trounces old-school keyword hunting. It taps into scalable*vector databasesandsemantic vectorsto grasp meaning, not just parrot words.* Pictureword vector arithmetic: "King - Man + Woman = Queen." It's magic. Searches become lightning-fast and drenched in context...
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@faun shared a link, 1Â month, 2Â weeks ago
Automatically Evaluating AI Coding Assistants with Each Git Commit ¡ TensorZero
TensorZerotransforms developer lives by nabbing feedback fromCursor'sLLM inferences. It dives into the details withtree edit distance (TED)to dissect code. Over in a different corner,Claude 3.7 SonnetschoolsGPT-4.1when it comes to personalized coding. Who knew? Not all AI flexes equally...
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@faun shared a link, 1Â month, 2Â weeks ago
Context Engineering for Agents
Context engineeringcranks an AI agent up to 11 by juggling memory like a slick OS. It writes, selects, compresses, and isolatesânever missing a beat despite those pesky token limits. Nail the context, and you've got a dream team. Slip up, though, and you might trigger chaos, like when ChatGPT went r..
GPT is a family of language models that have been trained on large amounts of text data using a technique called unsupervised learning. The model is pre-trained on a diverse range of text sources, including books, articles, and web pages, which allows it to capture a broad range of language patterns and styles. Once trained, GPT can be fine-tuned on specific tasks, such as language translation or question-answering, by providing it with task-specific data.
One of the key features of GPT is its ability to generate coherent and fluent text that is indistinguishable from human-generated text. This is achieved by training the model to predict the next word in a sentence given the previous words. GPT also uses a technique called attention, which allows it to focus on relevant parts of the input text when generating a response.
GPT has become increasingly popular in recent years, particularly in the field of natural language processing. The model has been used in a wide range of applications, including chatbots, content generation, and language translation. GPT has also been used to create AI-generated stories, poetry, and even music.
