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1000 results for “WetHat”
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@[email protected] In der Liste fehlt noch das #FediDir auf https://mastodir.de/
@[email protected] @[email protected] -
@[email protected] In der Liste fehlt noch das #FediDir auf https://mastodir.de/
@[email protected] @[email protected] -
@[email protected] In der Liste fehlt noch das #FediDir auf https://mastodir.de/
@[email protected] @[email protected] -
@[email protected] In der Liste fehlt noch das #FediDir auf https://mastodir.de/
@[email protected] @[email protected] -
@[email protected] In der Liste fehlt noch das #FediDir auf https://mastodir.de/
@[email protected] @[email protected] -
@WetHat
Mm. I read over it.
@sjl
Since it's #springlispgamejam2024 this is wrong:
"
Lisp doesn't have any engine as full-featured as Unity, but several people are currently working on making 3D game engines.
"
Naughty Dog's scheme game engines written in CL, eg.This touches on the fundamental problem: People have no idea what lisp software is out there. The article overemphasises the trivial- package stuff, which resembles poppy languages. Lisp sw are normally big systems with new languages
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Create static #websites from #Markdown sources with #PowerShell fast and easy. New version available from the #PowerShellGallery:
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CW: Pretty Printing Table Data in Common Lisp
#CommoLisp has a powerfull but byzantine string formatting language which can do all sorts of magic.
In this #JupyterNotebook the mighty 'format' function is used to produce human readable #Markdown pipe tables.
https://nbviewer.org/gist/WetHat/a49e6f2140b401a190d45d31e052af8f
GitHub: https://gist.github.com/WetHat/a49e6f2140b401a190d45d31e052af8f
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CW: Pretty Printing Table Data in Common Lisp
#CommoLisp has a powerfull but byzantine string formatting language which can do all sorts of magic.
In this #JupyterNotebook the mighty 'format' function is used to produce human readable #Markdown pipe tables.
https://nbviewer.org/gist/WetHat/a49e6f2140b401a190d45d31e052af8f
GitHub: https://gist.github.com/WetHat/a49e6f2140b401a190d45d31e052af8f
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CW: Pretty Printing Table Data in Common Lisp
#CommoLisp has a powerfull but byzantine string formatting language which can do all sorts of magic.
In this #JupyterNotebook the mighty 'format' function is used to produce human readable #Markdown pipe tables.
https://nbviewer.org/gist/WetHat/a49e6f2140b401a190d45d31e052af8f
GitHub: https://gist.github.com/WetHat/a49e6f2140b401a190d45d31e052af8f
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CW: Pretty Printing Table Data in Common Lisp
#CommoLisp has a powerfull but byzantine string formatting language which can do all sorts of magic.
In this #JupyterNotebook the mighty 'format' function is used to produce human readable #Markdown pipe tables.
https://nbviewer.org/gist/WetHat/a49e6f2140b401a190d45d31e052af8f
GitHub: https://gist.github.com/WetHat/a49e6f2140b401a190d45d31e052af8f
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Top 5 AI-Based Code Editors for Coding in 2025 - DEV Community
The article covers:
➡️ VSCode
➡️ Cursor
➡️ Tabnine
➡️ Amazon CodeWhisperer
➡️ JetBrains AI Assistanthttps://dev.to/aneeqakhan/top-5-ai-based-code-editors-for-coding-in-2025-obm
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How to Master SQL Joins | HackerNoon
Various SQL join types with clear explanations and practical examples
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Seeing AI as a collaborator, not a creator | MIT Technology Review
The key message of this article is: "AI can be, will be, and already is a tool for creative expression, but that true art will always be something steered by human creativity, not machines"
#AI #AIAssistants #Art #AiArt #ArtificialCreativity #Creativity #AITools
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OpenAI launches o3 and o4-Mini - gHacks Tech News
The new OpenAI o3 and o4-Mini models:
➡️ integrate multimodal reasoning
➡️ provide improved transparency and enhanced responsiveness. -
Simple Prompt Tweaks Derail LLM Reasoning - MarkTechPost
➡️ MIT researchers analyzed how input changes impact the response quality of 13 prominent LLMs.
➡️Prompt perturbations included irrelevant contexts, misleading (pathological) instructions, and a mix of additional yet unnecessary details.
➡️Quality dropped substantially, with average declines of up to 55.89% for irrelevant contexts. -
Simple Prompt Tweaks Derail LLM Reasoning - MarkTechPost
➡️ MIT researchers analyzed how input changes impact the response quality of 13 prominent LLMs.
➡️Prompt perturbations included irrelevant contexts, misleading (pathological) instructions, and a mix of additional yet unnecessary details.
➡️Quality dropped substantially, with average declines of up to 55.89% for irrelevant contexts. -
Simple Prompt Tweaks Derail LLM Reasoning - MarkTechPost
➡️ MIT researchers analyzed how input changes impact the response quality of 13 prominent LLMs.
➡️Prompt perturbations included irrelevant contexts, misleading (pathological) instructions, and a mix of additional yet unnecessary details.
➡️Quality dropped substantially, with average declines of up to 55.89% for irrelevant contexts. -
Simple Prompt Tweaks Derail LLM Reasoning - MarkTechPost
➡️ MIT researchers analyzed how input changes impact the response quality of 13 prominent LLMs.
➡️Prompt perturbations included irrelevant contexts, misleading (pathological) instructions, and a mix of additional yet unnecessary details.
➡️Quality dropped substantially, with average declines of up to 55.89% for irrelevant contexts. -
Simple Prompt Tweaks Derail LLM Reasoning - MarkTechPost
➡️ MIT researchers analyzed how input changes impact the response quality of 13 prominent LLMs.
➡️Prompt perturbations included irrelevant contexts, misleading (pathological) instructions, and a mix of additional yet unnecessary details.
➡️Quality dropped substantially, with average declines of up to 55.89% for irrelevant contexts. -
How to Use Wireshark Filters to Analyze Your Network Traffic
This tutorial covers both foundational and advanced skills in using Wireshark:
➡️ Wireshark is a leading network protocol analyzer for capturing and dissecting packets.
➡️Wireshark filters dramatically reduce analysis time by isolating relevant packets.
➡️Mastering filter syntax enables identification of unusual traffic patterns and security threats.https://www.freecodecamp.org/news/use-wireshark-filters-to-analyze-network-traffic/
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Elon Musk has merged X (formerly Twitter) with xAI in an all-stock deal, valuing the combined entity at $113 billion. This merger promises to leverage advanced AI capabilities and distribution. Almost certainly this AI will be trained on X posts, resulting in an extremely biased AI. Just another step towards Elon's #EverythingApp pipe dream.
https://decrypt.co/312221/elon-musk-x-xai-113-billion-juggernaut
#AI #ElonMusk #SocialMedia #ArtificialIntelligence #XAI #TwitterX
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#Bolt3D claims to revolutionize 3D scene generation by directly creating renderable 3D representations from one or more images. It achieves unprecedented speed and quality without requiring computationally expensive optimization or augmentation steps.
https://arxiv.org/abs/2503.14445v1
#ComputerVision #VirtualReality #3DModeling #GoogleResearch #LatentDiffusion #FeedForwardModels
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#Bolt3D claims to revolutionize 3D scene generation by directly creating renderable 3D representations from one or more images. It achieves unprecedented speed and quality without requiring computationally expensive optimization or augmentation steps.
https://arxiv.org/abs/2503.14445v1
#ComputerVision #VirtualReality #3DModeling #GoogleResearch #LatentDiffusion #FeedForwardModels
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#Bolt3D claims to revolutionize 3D scene generation by directly creating renderable 3D representations from one or more images. It achieves unprecedented speed and quality without requiring computationally expensive optimization or augmentation steps.
https://arxiv.org/abs/2503.14445v1
#ComputerVision #VirtualReality #3DModeling #GoogleResearch #LatentDiffusion #FeedForwardModels
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#Bolt3D claims to revolutionize 3D scene generation by directly creating renderable 3D representations from one or more images. It achieves unprecedented speed and quality without requiring computationally expensive optimization or augmentation steps.
https://arxiv.org/abs/2503.14445v1
#ComputerVision #VirtualReality #3DModeling #GoogleResearch #LatentDiffusion #FeedForwardModels
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#Bolt3D claims to revolutionize 3D scene generation by directly creating renderable 3D representations from one or more images. It achieves unprecedented speed and quality without requiring computationally expensive optimization or augmentation steps.
https://arxiv.org/abs/2503.14445v1
#ComputerVision #VirtualReality #3DModeling #GoogleResearch #LatentDiffusion #FeedForwardModels
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The article offers a fresh perspective on improving AI data reliability by using Decentralized Physical Infrastructure Networks (DePINs):
➡️By using blockchain, DePINs create secure, verifiable real-world data streams for AI systems.
➡️Applications range from smart farming to bridges that predict stress.https://hackernoon.com/ai-is-running-on-garbage-data-heres-how-depins-could-save-it?source=rss
#ArtificialIntelligence #DePIN #Blockchain #SmartInfrastructure #MachineLearning
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The article provides good insights into industry leaders such as Waymo, DeepMind, and Amazon demonstrate the transformative power of Reinforcement Learning (RL).
Takeaways:
➡️ RL drives autonomy and innovation across industries, but challenges like interpretability remain pivotal.
➡️ Hybrid systems that blend RL and symbolic reasoning hint at breakthroughs in high-level decision-making.#ReinforcementLearning #ArtificialIntelligence #AI #AgenticSystems #DeepLearning
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Takeaways:
➡️ User time is the ultimate currency: respect it by crafting intuitive and efficient interfaces.
➡️ Simplify complex tasks through step-by-step processes and on-demand details.
➡️ Leverage familiar design patterns to reduce mental effort and boost intuitiveness.
➡️ Provide immediate feedback.
➡️ Simplify choices to prevent analysis paralysis.https://hackernoon.com/sneaky-ux-tricks-thatll-make-your-users-fall-in-love?source=rss
#UXDesign #UserExperience #DesignPrinciples #UXTips #Programming