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Computer Vision and AI Applications5 min read858 words

🤖 Government Overreach - Federal Funding Influence

👁️0reads (human + AI)🤖0AI ingestions

🤖 Government Overreach - Federal Funding Influence

This article discusses the potential negative consequences of excessive government intervention and control, particularly concerning the withholding of federal funds. It references a quote by former President Ford highlighting the inherent risks of an overly powerful government.

Key Points:

• Excessive government control can lead to the erosion of individual liberties.

• Withholding federal funds can be used as a tool to exert undue influence.

• The balance between government support and individual autonomy is crucial.

🔗 Resources:

David Farmer's X Profile ↗ - Commentary on government influence


🚀 AI Art Competition - Gaga AI Creation Challenge

This article details the Gaga AI Creation Challenge, outlining the rules for participation and prizes available.

Key Points:

• Participants create art using Gaga AI.

• Submissions require a repost of the announcement tweet and sharing of the creation with a specific hashtag.

• Grand prizes and numerous lucky draw prizes are offered.

🚀 Implementation:

  1. Create art using Gaga AI: Access Gaga AI at http://gaga.art ↗ and create an artwork.
  2. Repost the announcement tweet: Share the original announcement tweet from @YueCao72324941.
  3. Share your creation: Post your artwork on X and include the hashtag #GagaAI.

🔗 Resources:

Gaga AI Official X Profile ↗ - Information on Gaga AI
Challenge Announcement ↗ - Details of the competition
Hashtag ↗ - For finding other entries


🤖 Power Consumption in Serdes-Based Links

This article clarifies the misunderstanding surrounding energy/bit calculations for Serdes-based links, emphasizing that their power consumption is largely static.

Key Points:

• Serdes-based links consume power regardless of utilization.

• pj/bit calculations are misleading as they reflect full utilization, not typical usage.

• Accurate power assessment requires considering static power consumption.


🤖 Power Optimization in Wide-Parallel Links

This article explains how integrating wide-parallel links can significantly improve power and performance efficiency by constraining parallelism.

Key Points:

• Wide-parallel links offer dynamic energy usage.

• Constraining parallelism allows for better PPA (Power, Performance, Area) characteristics.

• This approach leads to drastic improvements in traffic-related power consumption.


💡 Serdes Link Power Consumption Clarification

This article summarizes the key takeaway regarding power consumption in Serdes based links. Real-world applications don't constantly utilize network bandwidth at maximum capacity, but require high throughput during critical operations. Because Serdes links are always on, the actual power consumption per bit is higher than advertised.

Key Points:

• Real-world applications don't maintain constant network utilization.

• High throughput is needed during critical operations.

• Serdes-based links consume power continuously, regardless of usage.


✨ PhD Dissertation Defense - Dr. Kowal

This article announces the successful PhD defense of Dr. Kowal, highlighting the family and advisor involvement.

Key Points:

• Dr. Kowal successfully defended their dissertation.

• Family and academic mentors played significant roles in the achievement.

• A special thanks is extended to @davidbau for serving on the committee.

🔗 Resources:

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@davidbau's X Profile ↗ - External committee member
@CSProfKGD's X Profile ↗ - Dr. Kowal's X Profile


💡 The Future of Art and AI - Artists + Machine Intelligence

This article discusses the implications of using technology analogous to both the eye and brain in art creation, referencing Google's Artists + Machine Intelligence program.

Key Points:

• Exploring technology that mimics the brain's function in art opens new creative avenues.

• Google's Artists + Machine Intelligence program (launched in 2016) investigates these possibilities.

🔗 Resources:

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@Google's X Profile ↗ - Google's official X account
@blaiseaguera's X Profile ↗ - Author of the Tweet


🚀 Multimodal Alignment Upgrades in TRL

This article highlights major upgrades in multimodal alignment from the latest TRL release, focusing on three new techniques.

Key Points:

• Significant improvements in VLM post-training.

• Introduction of three new techniques: GRPO, GSPO, and MPO.

• vLLM integration for online training with transformers backend.

🔗 Resources:

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@SergioPaniego's X Profile ↗ - Author of the tweet


🤖 3D Reconstruction Without Volumes - SIGGRAPH'25 Paper

This article introduces a new method for 3D surface reconstruction that deviates from traditional volume-based approaches like NeRF and Gaussian Splats.

Key Points:

• Existing methods model the world as volumes, using alpha blending for rendering.

• This paper presents a direct surface reconstruction technique.

• The new method avoids heuristics and regularizers.

🔗 Resources:

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@wenzeljakob's X Profile ↗ - Author of the tweet


🚀 Running Large Language Models - gpt-oss-20b and 120b

This article provides a simplified guide on deploying gpt-oss-20b or 120b models using Jandotai and a Hugging Face token.

Key Points:

• Easy deployment of large language models (LLMs).

• Minimal prior experience with the technology stack is required.

• Deployment is achievable in a matter of minutes.

🔗 Resources:

@Jandotai's X Profile ↗ - Relevant Tool/Service
@Hugging Face's X Profile ↗ - Relevant Tool/Service
@ClementDelangue's X Profile ↗ - Author of the tweet


⭐️ Support

If you liked reading this report, please star ⭐️ this repository and follow me on Github ↗, 𝕏 (previously known as Twitter) ↗ to help others discover these resources and regular updates.


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Co founder @ PartPilot | 1 x Acquired Founder | Canopy @ f.inc | Cybersec @ DSU | 2x International Hackathon 🏆. Read more on drix10.com.