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12 May. University of Southampton Business School.13 May. Fareham Innovation Centre.14 May. Beaulieu Inn, Brockenhurst.T...
07/05/2026

12 May. University of Southampton Business School.
13 May. Fareham Innovation Centre.
14 May. Beaulieu Inn, Brockenhurst.

Three consecutive days. Three Hampshire venues. Three completely different angles on how AI is reshaping work.

The Brockenhurst session on Thursday 14 May is the one I'd push towards ops leads and HR directors: AI and redesigning the workforce. How AI is changing hiring, skills, and job roles - relevant to founders, HR leads, and public sector managers across the New Forest district.

This is the conversation most firms are avoiding.

Not because they don't know it's coming. Because it's uncomfortable to answer: which roles change, which don't, and who decides?

↳ The firms having that conversation now are designing intentionally
↳ The firms avoiding it will still face the same restructuring - just without a plan
↳ £30. Half a day. Brockenhurst on a Thursday morning.

If you're in the New Forest district or easy reach of it, this is the most practically relevant event in the cluster.

For more, link in the comments.

OpenAI shipped GPT-5.5 in six weeks.Google locked in $40 billion.The consultancies pulling ahead aren't winning on model...
07/05/2026

OpenAI shipped GPT-5.5 in six weeks.

Google locked in $40 billion.

The consultancies pulling ahead aren't winning on model choice.

They're winning on workflow design.

That's the race nobody is talking about - and it's already decided for this year.

The firms that mapped their workflows in Q1, ran pilots in Q2, and documented what worked will have a compounding advantage through Q3 and Q4.

The firms still debating which model to use will be starting that process when everyone else is scaling.

Three things separating the leaders:

↳ They automated repeatable work first - proposals, onboarding packs, weekly reporting
↳ They built governance in from the start - not bolted on after something went wrong
↳ They measured in billable hours recovered, not "AI adoption metrics"

The window to build a meaningful head start is still open.

But the release cadence has made one thing clear: the tools will not wait for you to be ready.

For more, see the link in the comments.

The gap between open-weight and frontier closed AI models is narrowing.Tencent and Alibaba are backing DeepSeek at a $20...
06/05/2026

The gap between open-weight and frontier closed AI models is narrowing.

Tencent and Alibaba are backing DeepSeek at a $20 billion-plus valuation.

The thesis that frontier models would stay as defensible monopoly products is under direct pressure.

For consultancies advising clients on AI strategy, this changes the framing:

The "which model provider should we commit to" question is becoming less important.

↳ Infrastructure lock-in risk is falling
↳ Model capability gaps are narrowing faster than expected
↳ Workflow design skill is becoming the sustainable differentiator

The firms pulling ahead in this market are not winning on model choice.

They're winning because they've mapped which workflows to automate first, built governance around those workflows, and can demonstrate measurable ROI.

That is a skill that doesn't depreciate with every new model release.

The question worth prioritising this quarter isn't "which AI?" It's "which process?"

For more, link in the comments.

Most businesses I speak to are using AI the same way they use Google.Search. Get an answer. Move on.That's not a workflo...
06/05/2026

Most businesses I speak to are using AI the same way they use Google.

Search. Get an answer. Move on.

That's not a workflow. That's a habit.

The hands-on half-day at Fareham Innovation Centre on Wednesday 13 May is specifically for founders and marketing leads who want to change that.

The session applies AI tools to actual content creation - not theory, not demos of other people's outputs.

Here's what I see as the gap most Hampshire firms haven't closed:

↳ They've tried ChatGPT for a few prompts and called it done
↳ They haven't mapped which content processes are repeatable enough to systematise
↳ They're producing content manually at the same speed as two years ago, even though the tools have moved on

A half-day to fix that framing is a reasonable trade.

It's free. It's local. It's practical.

For more, see the link in the comments.

University of Southampton and UCB - a global biopharma firm - have just launched DARC.Digital Antibody Research Collabor...
05/05/2026

University of Southampton and UCB - a global biopharma firm - have just launched DARC.

Digital Antibody Research Collaboration. Three years. AI-designed therapeutic antibodies, built in silico rather than through traditional lab processes.

The ambition: cut the time from drug design to clinical trial significantly.

Why does this matter for Hampshire?

↳ It puts Southampton on the map as a centre for AI-driven life sciences - not just a university town
↳ It's a signal that the region can anchor serious commercial AI partnerships, not just host workshops about them
↳ For professional services firms in the region, life sciences is growing as a client sector - and understanding how AI is being deployed in it matters

This isn't abstract. UCB chose Southampton for a reason.

The question for Hampshire firms looking at AI adoption is worth borrowing from this partnership: are you running AI as an experiment, or as infrastructure?

DARC was built as infrastructure from day one.

For more, go to the link in the comments.

Anthropic shipped persistent memory for Claude Agents this week.Context now stores across sessions as exportable files, ...
05/05/2026

Anthropic shipped persistent memory for Claude Agents this week.

Context now stores across sessions as exportable files, permission-scoped via API.

Done well, this turns a client-facing agent from a one-session tool into genuine relationship infrastructure.

Done carelessly, it creates exactly the same data governance exposure that shadow AI created in 2024.

Before enabling Memory in any client-facing deployment, three questions need answers:

↳ What gets retained? Not everything should persist - customer preferences and project context yes, sensitive financial data possibly no
↳ For how long? Default retention periods may not match your client data policies
↳ Who has API access to the stored files? This is an access control question, not a technical one

These are governance questions. Not technical ones.

The Memory feature itself is low risk. The connector layer - what it remembers and who can read it - carries your client relationships.

Treat it like any other third-party integration. Governance review first, pilot second, rollout third.

For more, see the link in the comments.

GPT-5.4 shipped in March.GPT-5.5 shipped six weeks later.The benchmark card gets all the attention. The release cadence ...
04/05/2026

GPT-5.4 shipped in March.

GPT-5.5 shipped six weeks later.

The benchmark card gets all the attention. The release cadence is the actual operating signal.

OpenAI is now moving fast enough that any workflow you build on a specific model version needs an upgrade path designed in from the start.

If you haven't thought about this yet, here's what it means in practice:

↳ Locking a client-facing process to a specific model version is a risk, not a preference
↳ Prompt engineering done for GPT-5.4 may not transfer cleanly to GPT-5.5
↳ The hallucination gap between GPT-5.5 and Claude Opus 4.7 is significant — 86% vs 36% — which matters if you're deploying anything client-facing without heavy review

Speed is genuinely useful. Hallucination rate is a delivery risk.

Before switching to whatever shipped last week, evaluate on your actual workflows.

Faster per token is not the same as fewer errors per deliverable.

For more, got the link in the comments.

12/05/2026University of Southampton Business School. Bolderwood Innovation Campus.A full day on responsible AI in practi...
04/05/2026

12/05/2026

University of Southampton Business School. Bolderwood Innovation Campus.

A full day on responsible AI in practice - with academics, Business in the Community, and a live Ask the Experts panel.

This is the most substantive AI event the region has seen this year.

Not a vendor pitch. Not a keynote with no follow-up Q&A.

A working day on governance, strategy, and the BITC Responsible AI Framework - with people who can actually answer awkward questions.

Here's why I'd prioritise it if you're running a professional services firm in Hampshire:

↳ Responsible AI governance is moving from "nice to have" to a client expectation - particularly in regulated sectors
↳ The Hampshire Chamber already listed this in their April bulletin - this conversation is entering mainstream business, not just tech circles
↳ It's the first university-anchored responsible AI day in the region this year

Seats are limited. It's on a Tuesday. If you have a COO or ops lead who needs a structured day away from the inbox, this is the right room.

For more, see the link in the comments.

The Stanford AI Index 2026 dropped last week.One finding stood out: AI adoption is moving faster than the PC and the int...
03/05/2026

The Stanford AI Index 2026 dropped last week.

One finding stood out: AI adoption is moving faster than the PC and the internet at equivalent stages of their development.

The second finding was less discussed but more important for firms our size:

Most economic value is flowing to a small group of AI leaders - not the majority still in pilot mode.

I see this pattern clearly in Hampshire.

Some firms are running real workflows on AI - proposals, reporting packs, onboarding automation - and recovering measurable hours each week.

Most firms are still experimenting. Good intentions. No production workflow.

The gap between those two groups is compounding.

↳ Leaders are getting faster delivery and better margins
↳ Followers are spending time evaluating tools rather than using them
↳ The window where "we're exploring AI" is a credible answer is getting shorter

This isn't a technology conversation. It's a competitive positioning conversation.

Which group is your firm in?

For more, link in the comments.

Google confirmed $40 billion into Anthropic last week.Anthropic's valuation crossed $1 trillion.A lot of commentary focu...
03/05/2026

Google confirmed $40 billion into Anthropic last week.

Anthropic's valuation crossed $1 trillion.

A lot of commentary focused on what that means for Anthropic. I think the more useful question is what it means for the firms choosing which model provider to build on.

Here's where I land:

The differentiation question is no longer financial stability. Both OpenAI and Anthropic have infrastructure backing at the same tier now. That argument is settled.

The question that remains - and is actually worth calculating - is which model performs better on your specific workflows.

↳ Not in benchmark tables
↳ On your actual proposal process, your actual reporting pack, your actual client onboarding steps

Most firms still haven't done this calculation properly. They've assumed, or deferred, or just used whatever their team started with.

At the model selection stage, that's the only question left worth asking.

The correct answer varies by firm and by workflow. It is worth finding out.

For more, link in the comments.

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