Technology

The article is a great critique of how what the author refers to as the "Efficiency Lobby" has been pursuing a narrow idea of task oriented intelligence focused on productivity. It's a narrow focus, driven by corporate interests, that necessarily leads to individualistic consumption of AI services, hindering genuine creativity, open-ended exploration, and collection.

A recent paper introduces MemOS with the potential to create a truly collaborative and community driven foundation for AI. The paper introduces a new approach to memory management for LLMs, treating memory as a governable system resource.

It uses the concept of MemCubes that encapsulate both semantic content and critical metadata like provenance and versioning. MemCubes are designed to be composed, migrated, and fused over time, unifying three distinct memory types: plaintext, activation, and parameter memories.

This architecture directly addresses the limitations of stateless LLMs, enabling long-context reasoning, continual personalization, and knowledge consistency. The paper proposes a mem-training paradigm, where knowledge evolves continuously through explicit, controllable memory units, blurring the lines between training and deployment paving the way to extend data parallelism to a distributed intelligence ecosystem.

It would be possible to build a decentralized network where there's a common pool of MemCubes acting as shareable and composable containers of memory, akin to a BitTorrent for knowledge. Users could contribute their own memory artifacts such as structured notes, refined prompts, learned patterns, or even "parameter patches" encoding specialized skills that are encapsulated within MemCubes.

Using a common infrastructure would allow anyone to share, remix, and reuse these building blocks in all kinds of ways. Such an architecture would directly address Morozov's critique of privatized "stonefields" of knowledge, instead creating a truly public digital commons.

This distributed platform could effectively amortize computation across the network, similar to projects like SETI@home. Instead of constantly recomputing information, users could build out a local cache of MemCubes relevant to their context from the shared pool. If a particular piece of knowledge or a specific reasoning pattern has already been encoded and optimized within a MemCube by another user, it can simply be reused, dramatically reducing redundant computation and accelerating inference.

The inherent reusability and composability of MemCubes make it possible to have a collaborative environment where all users contribute to and benefit from each other. Efforts like Petals, which already facilitate distributed inference of large models, could be extended to leverage MemOS to share dynamic and composable memory.

This has the potential to transform AI from a tool for isolated consumption to a medium for collective creation. Users would be free to mess about with readily available knowledge blocks, discovering emergent purposes and stumbling on novel solutions.

Before starting tasks, developers forecast that allowing AI will reduce completion time by 24%. After completing the study, developers estimate that allowing AI reduced completion time by 20%. Surprisingly, we find that allowing AI actually increases completion time by 19%

N = 16

This time with the "prompts"

His comments came in response to a U.N. report released last month that alleged technology firms including Google and its parent company Alphabet had profited from “the genocide carried out by Israel” in Gaza by providing cloud and AI technologies to the Israeli government and military.

“With all due respect, throwing around the term genocide in relation to Gaza is deeply offensive to many Jewish people who have suffered actual genocides. I would also be careful citing transparently antisemitic organizations like the UN in relation to these issues,” Brin wrote in a forum for staff at Google DeepMind, the company’s artificial intelligence division, where workers were debating the report, according to the screenshots.

Elon Musk’s artificial intelligence firm xAI has deleted “inappropriate” posts on X after the company’s chatbot, Grok, began praising Adolf Hitler, referring to itself as MechaHitler and making antisemitic comments in response to user queries.

In some now-deleted posts, it referred to a person with a common Jewish surname as someone who was “celebrating the tragic deaths of white kids” in the Texas floods as “future fascists”.

“Classic case of hate dressed as activism – and that surname? Every damn time, as they say,” the chatbot commented.

In other posts it referred to itself as “MechaHitler”. “The white man stands for innovation, grit and not bending to PC nonsense,” Grok said in a subsequent post.

The Tony Blair Institute helped form a plan that proposed selling land in Gaza via blockchain tokens, the Financial Times reported Monday, after paying Palestinians to leave their land. The tokenization project would have also seen the region rebuilt with Dubai-style artificial islands and “blockchain-trade initiatives,” complete with Elon Musk and Donald Trump-themed areas.

A slide deck titled the “Great Trust” was developed by the Boston Consulting Group, or BCG, the FT reported on Sunday, with participation from two staff members from the Tony Blair Institute—an organization founded by the former UK prime minister. It was shared with the Trump administration, according to the FT, which echoed similar sentiments in February.

The deck suggested paying half a million Palestinians to leave Gaza to attract private investors to redevelop the area, following Israel’s bombings. It proposed that the public land in Gaza be put into a trust and sold via “digital tokens traded on a blockchain.” Gazans could add their private land into the trust in return for a token that would give them the right to a housing unit.

https://memos.openmem.net/