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#101

Multi agent systems for complex tasks

Reddit r/AI_Agents · 8h ago

Discusses multi-agent systems designed to handle complex tasks, likely covering coordination and collaboration among AI agents.

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#102

LFM2.5 230M running in-browser at 1,400 tok/s using custom WebGPU kernels

Reddit r/LocalLLaMA · 9h ago

LFM2.5 230M model achieves 1,400 tokens per second in-browser using custom WebGPU kernels, demonstrating efficient local inference.

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#103

Deno 2.9

Hacker News Top · 11h ago Cached

Deno 2.9 introduces `deno desktop` for building native desktop applications using web technologies, along with improved Node.js compatibility, CSS module imports, and faster startup.

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#104

@omarsar0: I guess MCP won. Jokes aside, this is super cool from OpenRouter. Just making it easier for devs to run their long-runn…

X AI KOLs Following · 10h ago Cached

OpenRouter introduces MCP integration, providing live model intelligence for agents to select and price models in real-time, simplifying long-running agent development.

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#105

Ran across a site running AI models thru a longford SF fiction test...

Reddit r/ArtificialInteligence · 8h ago

A site ran longform speculative-fiction prompts through AI models including Claude Fable 5, publishing the resulting story 'Headwaters' with process notes, raising questions about language becoming training material that people might need to hide.

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#106

@danintheory: Great conversation and a fun way to learn about an important open AI problem!

X AI KOLs Following · 8h ago Cached

Sequoia Capital highlights the gap between current AI models that train once and human continuous learning, and points to EngramLab's work on AI that never stops learning with memory inside the model.

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#107

@_philschmid: Yesterday we launched computer use in Gemini 3.5 Flash with browser, mobile, and desktop environments. I put together a…

X AI KOLs Timeline · 12h ago Cached

Phil Schmid announces the launch of computer use in Gemini 3.5 Flash, enabling control of browser, mobile, and desktop environments, with a quickstart guide for controlling Android phones via adb.

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#108

@MaxForAI: hey! There's actually such an amazing model?? Ornith @ornith_ just open-sourced a new open-source model family. Includes 9B Dense, 31B Dense, 35B MoE, and 397B MoE. And the official benchmarks are impressive, even comparable to GLM…

X AI KOLs Timeline · 11h ago Cached

Ornith has open-sourced the Ornith-1.0 model family, which includes multiple sizes such as 9B Dense, 31B Dense, 35B MoE, and 397B MoE. It achieves leading performance on coding tasks, even rivaling GLM5.2.

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#109

Structured Primary Keys

Lobsters Hottest · 11h ago Cached

This article discusses how traditional primary key designs can isolate tables, and introduces structured primary keys as an alternative approach to improve SQL query performance and maintain relational integrity.

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#110

@RemiCadene: World models

X AI KOLs Following · 11h ago Cached

Pim de Witte announces a $320M Series A funding round at a $2.3B valuation for the world models company, backed by prominent investors and researchers.

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#111

@GeekCatX: https://x.com/GeekCatX/status/2070192176781554147

X AI KOLs Timeline · 11h ago Cached

This article introduces how to use Codex to build a personal learning system, organizing the learning process into maintainable local repositories, realizing a transformation from temporary Q&A to long-term capability engineering, and open-sourcing the Goal Learning OS project as a reference.

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#112

Building your own Claude Tag

Reddit r/AI_Agents · 7h ago

A guide on building a custom tag for Claude, an AI assistant, enabling personalized integrations.

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#113

Oxide Rack 3D Explorer

Lobsters Hottest · 9h ago

Oxide Rack 3D Explorer is an interactive 3D visualization tool for exploring Oxide Computer Company's hardware rack design.

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#114

@PyTorch: One runtime, multiple GPU architectures, and zero vendor-specific model code. In this blog post, the TokenSpeed team @l…

X AI KOLs Following · 12h ago Cached

TokenSpeed-Kernel is a portable, high-performance kernel system for LLM inference that enables zero vendor-specific model code and supports multiple GPU architectures, achieving up to 3.6x higher throughput on AMD MI355X.

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#115

Some models got priced the same for a week, so I watched what people actually used

Reddit r/ArtificialInteligence · 10h ago

When several AI models were priced equally for a week, actual token usage revealed preference differences from leaderboard rankings, showing that coding and general chat have different top models and long context usage concentrated on two trusted models.

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#116

@paulg: It will be an uncommon choice not to have LLMs write for you, but it won't be a merely idiosyncratic one. It will be wh…

X AI KOLs Following · 11h ago Cached

Paul Graham argues that in the near future, choosing not to use LLMs for writing will be uncommon but a mark of those who care about thinking clearly, warning that a divide between 'writes' and 'write-nots' will mirror a divide between 'thinks' and 'think-nots'.

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#117

@Miles_Brundage: Google just published an updated AI policy framework which articulates stronger and more detailed positions in some are…

X AI KOLs Following · 9h ago Cached

Google published an updated AI policy framework with stronger and more detailed positions on auditing and other areas, marking a notable shift in their public stance.

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#118

@AnthropicAI: We're joining @raiseus_ai as a founding partner. RAISE US is a nonprofit coalition working to strengthen the American w…

X AI KOLs · 11h ago Cached

Anthropic announced it is joining RAISE US as a founding partner, a nonprofit coalition focused on strengthening the American workforce through employer-led action, AI-enabled training, and policy innovation for the transition to transformative AI.

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#119

Here are all of the Apple price hikes

The Verge · 11h ago Cached

Apple has raised prices on iPads, Macs, HomePods, Apple TV, and Vision Pro due to the ongoing RAM crisis, with increases ranging from $30 to $2,800 depending on the product and configuration.

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#120

[R] All Routes Lead to Collapse: attention sinks, representation collapse, and norm stratification are what content-based routing does under a norm-blind metric

Reddit r/MachineLearning · 10h ago Cached

This paper demonstrates that attention sinks, representation collapse, and norm stratification are not unique to attention mechanisms but are general consequences of content-based routing under a norm-blind similarity metric, as shown across multiple architectures including transformers, graph attention, state-space models, and recurrent mixers.

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