Recent Briefings

Should Enterprises Worry About an AI Bubble?

Agentic AI Challenges Workforce Planning; but it Could also Re-invent it

Agentic AI, Harness Engineering and Organisational Architecture

The Emerging Need for AI Operationalisation

Open Models, Technology Diffusion & the Shift from Renting to Owning AI

Designing for Bounded Autonomy

The Token Apocalypse & Agentic Ecosystem Design

Designing a Capability Interface
Link*Log
DeepSeek Harness developer preview: Everything is a plugin
Everything is a plugin DeepSeek Harness is now in developer preview for agent harness developers worldwide — source code included. Every capability is a plugin that can be swapped or recomposed: models, tools, skills, sessions, sandboxes, storage, loops, scheduling,...
DeepSeek Harness Explained: How Open Agent Runtimes Change AI
When DeepSeek released DeepSeek-R1 in January 2025, it blew everyone’s mind. R1 came surprisingly close to OpenAI’s o1 on several reasoning, math, and coding benchmarks, and DeepSeek released the weights under an MIT license along with a paper explaining much of its...
Tokenomics – can ‘a new math’ from Globant shake up legacy Professional Services practices to get clients to a more beneficial outcomes-based pricing model?
The traditional Professional Services approach is replaced by AI Pods, explains Globant's CEO and CTO. Go to Source
Patterns and problems in multiagent systems Anthropic
Models are improving and AI agents are taking on more tasks in shared codebases, markets, and other social systems. As a result, an increase in real-world interactions between agents is imminent. We've already begun studying this, but still have a lot of uncertainty...
A Six-Step Framework for Auditing Enterprise AI Agents | HackerNoon
he pattern repeats across large companies. A year of enthusiasm produced agents everywhere. One team built an agent to summarize tickets. Another built a near-identical one. A third wired an agent into a workflow, shipped it, and moved on, and now nobody owns it. Each...
Qwen 3.8 27B is excellent, but it defaults to wildly overthinking things
Friday’s big release was Qwen 3.8 27B, an Apache 2 licensed 27B parameter vision-capable LLM from Alibaba’s Qwen research lab. I’ve been looking forward to this one: 27B is an excellent size for running a model on a reasonably specced laptop, and its predecessor Qwen...
Fish Food 700: Thinking (and working) in loops
In early June Peter Steinberger, the developer behind OpenClaw, posted (on X, but I’m not linking to X) something which seems to have changed a lot of influential people’s approaches to working with AI. ‘Here’s your monthly reminder’, he said, 'that you shouldn’t be...
🔮 The market misread Google’s AI exodus
Why Jeff Dean’s departure tells us the AI investment cycle is earlier than we think Go to Source
His Start-Up’s Goal: A.I. That Is Trainable and Not Controlled by a Big Company – The New York Times
A co-founder of xAI is going all in on building open-source artificial intelligence so that “anyone can control and shape A.I. for their own needs.” Go to Source
FinTech Navi Targets $2 Billion Valuation in India IPO
Enterprises are realizing that renting the same general-purpose artificial intelligence model as every competitor is a losing strategy. Prompting the same closed system erases any edge, and every query hands proprietary business data to an outside AI lab. Running that...
- 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
