Access or subscribe to our live feed of curated need-to-know articles and links that inform our briefings and analysis
Link*Log
Is Systems Research Really Just About Making Numbers Bigger? – Marc’s Blog
Lots of folks online have been talking about Barbarians at the Gate: How AI is Upending Systems Research by Cheng, Liu, Pan, et al this week. Maybe unsurprisingly, given the fact that I work in AI for my day job, and both consume and produce systems research, I found...
It’s the Internet, Stupid – by Francis Fukuyama
What caused the global populist wave? Blame the screens. Go to Source
Programming in Assembly Is Brutal, Beautiful, and Maybe Even a Path to Better AI | WIRED
Whether your chip is running a vintage computer game or the latest DeepSeek model, it’ll reward you for speaking its native language. Go to Source
A small number of samples can poison LLMs of any size Anthropic
Anthropic research on data-poisoning attacks in large language models In a joint study with the UK AI Security Institute and the Alan Turing Institute, we found that as few as 250 malicious documents can produce a "backdoor" vulnerability in a large language...
New memory framework builds AI agents that can handle the real world’s unpredictability | VentureBeat
Researchers at the University of Illinois Urbana-Champaign and Google Cloud AI Research have developed a framework that enables large language model (LLM) agents to organize their experiences into a memory bank, helping them get better at complex tasks over time. Go...
Less is More : Recursive Reasoning with Tiny Networks paper explained | by Mehul Gupta | Data Science in Your Pocket | Oct, 2025 | Medium
The paper introduces Tiny Recursive Model (TRM) a 7M-parameter network that outperforms LLMs like Gemini 2.5 Pro, DeepSeek R1, and even the so-called “reasoning” variants on tasks like Sudoku-Extreme, Maze-Hard, and ARC-AGI (the benchmark designed to measure general...
Meta Superintelligence’s surprising first paper
Long awaited first paper from Meta Superintelligence Labs is not a model layer innovation. What does this mean? Go to Source
[2506.22988] (World) Building Transformation: Students and Teachers as CoCreators in OpenXR Learning Environments
Abstract page for arXiv paper 2506.22988: (World) Building Transformation: Students and Teachers as CoCreators in OpenXR Learning Environments Go to Source
Google DeepMind Lead Researchers on Genie 3 & the Future of World-Building | a16z Podcast
Genie 3 can generate fully interactive, persistent worlds from just text, in real time. In this episode, Google DeepMind’s Jack Parker-Holder (Research Scientist) and Shlomi Fruchter (Research Director) join Anjney Midha, Marco Mascorro, and Justine Moore of a16z,...
The six key elements of agentic AI deployment | McKinsey
Deploying agentic AI successfully isn’t easy. Here’s what we’re learning about how to get it right. Go to Source
- A hype-free feed of need-to-know links and articles curated and summarised daily by our research team
- A bi-weekly intelligence briefing on enterprise AI and emerging tech developments from a buy-side perspective
- Monthly guides, such as implementation recipes, e-books and capability maps, to support cross-functional initiatives
- Practical guidance & support calls to solve specific problems
Try the Shift*Academy experience
Subscribe now for a free trial of the premium service
Recent Briefings
Doing the Work: Why Learning is Key to Agentic AI Success & Avoiding Workslop
Agentic AI is starting to demonstrate real capabilities and promise. In the consumer space, OpenAI seems to be moving towards specific agentic apps as a way to popularise and monetise its underlying models, as Nathan Lambert covers today. But in the enterprise,...
Enterprise AI is a Social Technology, Not the Sorcerer’s Apprentice
Magical Realism Humans appear to use some very primitive sorting algorithms when presented with new discoveries, such as is it a God? … and … could this magic kill us all? In debates around AI, this tendency is creating increasingly polarised viewpoints and judgements...
Collaborative Architectures for Agents, People & Machines
We are working on some innovative learning projects to help leaders understand what agentic AI could mean for their roles and their organisations, and to help with readiness for adoption; so I have been reading about overcoming barriers and blockers relating to...
The Growing Importance of Context Engineering for Leaders Adopting AI
We have been thinking a lot recently about how to help business leaders understand, direct and deploy AI in their organisations without needing to become technical domain experts. Traditional approaches to learning, change and technology adoption increasingly feel...
Will AI be ‘Winner takes it all’ or General Purpose Technology?
In a week where more than one leading LLM seems to be creaking at the seams, suffering capacity issues or even going backwards in terms of output utility, it is worth re-stating why we think it is worth focusing on enterprise AI over consumer AI, and why we think it...
Codifying Rulesets in the Explainable Enterprise
The launch of Kimi’s K2 model was perhaps the most noteworthy AI-related news item of the past couple of weeks, and an indicator of the growing investment efficiency gap between China and the United States. Azeem Azhar’s coverage of the model and its implications,...
Is Enterprise AI Ultimately Less Risky than Consumer AI?
The debate about AI risks and potential harms is starting to bifurcate into the kind of toxic polarisation we are now used to seeing in politics, economics and other areas of life, amplified by online echo chambers. In addition to technical critics like Gary Marcus,...
Can Learning Help Overcome the AI Capability-Absorption Gap?
We are reaching a curious time for enterprise AI adoption. Organisational AI readiness is advancing far slower than the technology, and yet more and more large firms are warning employees that their jobs are likely to disappear or be transformed by automation and...
Agentic AI Needs Strong Foundations
The respected American venture capitalist Mary Meeker recently shared her first internet trends report since 2019, focused on AI and its future. It runs to 340 slides (with center-aligned text … grrr!), so it takes time to absorb. But in addition to its meta-level...
New Models and Old Challenges
It has been a busy couple of weeks for analysts covering new AI launches, with some impactful new models and agentic systems being announced that add up to a significant advance in capabilities. Hot on the heels of announcing Gemini 2.5 Pro, Google announced AI Mode...