☀️ Leon-Gerard Vandenberg 🇳🇱🇨🇦🇦🇺 Math+e/acc

CEO Systems Design Engineer #Solar #Blockchain #Wireless @SunifiedEnergy #eSIM #SolarPunk #BioGenomics @Fuzo #IoT #ML #AI #bitSIM @UWaterloo

[☀️ Leon-Gerard Vandenberg 🇳🇱🇨🇦🇦🇺 Math+e/acc @Leon_Vandenberg]

@SunifiedEnergy is building the global standard for Solar PVOM (Performance, Verification, Operations & Maintenance) by becoming the “NVIDIA of clean energy.”

Just as @NVIDIA powers AI with silicon & software ecosystem, Sunified’s UNITY platform digitizes solar infrastructure, turning every panel and battery into a data-generating asset.

From silicon to smart contracts, we deliver financial-grade, ML-ready energy data that underpins climate insurance, digital carbon, green bonds, and tokenized energy finance.

In a world moving toward tokenized financial products and stablecoin-based settlement verifiable 24x7 clean energy is going to be demanded more and more.

Sunified AI
👉 is poised to become the trusted infrastructure for energy data & transactive grid backbone across global renewable energy infrastructures.

[☀️ Leon-Gerard Vandenberg 🇳🇱🇨🇦🇦🇺 Math+e/acc @Leon_Vandenberg]

@TillDawn_GNET @TandemPV @SunifiedEnergy We can 🚀 Need to lean into it with
- Do Tank - and Agency + Ecosystem
@2tokens_org

[☀️ Leon-Gerard Vandenberg 🇳🇱🇨🇦🇦🇺 Math+e/acc @Leon_Vandenberg]

Perovskites @TandemPV work so well as PV for agrivoltaics" @SunifiedEnergy https://t.co/ewreisOjcR

[Hanako @hanakoxbt]

Anthropic Claude Code engineer:

"If you're watching Claude write code, you're the QA tester. That's not what you're paid for."

In 37 minutes he lays out how to get your keyboard out of the hot path entirely.

The shift is /loop. You tell Claude to wake up every 10 minutes and babysit your PRs, and it just does it, while you're nowhere near the laptop.

Routines do the same in the cloud, so the work keeps running with your machine closed.

He caps it with remote control: any session, on any surface, driven from your phone.

Watch the full talk, then grab the setup below.

[Matthew Berman @MatthewBerman]

Just launched Loop Library - a curated list of agent loops you can use right now.

Find loops, submit your own, tokenmaxx!!

https://t.co/7bVzOyZMrt

[☀️ Leon-Gerard Vandenberg 🇳🇱🇨🇦🇦🇺 Math+e/acc @Leon_Vandenberg]

@AlfieJCarter MCO

[Teknium 🪽 @Teknium]

.@HuggingFace did a nice explainer video of Hermes Agent's architecture, check it out here:

https://t.co/wqWargH39p

[Alfie Carter @AlfieJCarter]

I broke down the full LinkedIn outreach workflow so GTM engineers don't have to figure out what to build first.

I put together my Claude Code LinkedIn Outreach System (sorted by outreach stage).

I work with GTM engineers and founders running LinkedIn outbound and the ones who fill pipeline fastest aren't just sending one-off connection requests — they run one command that finds prospects, researches them, warms them up, and sends personalised outreach in one Claude Code session instead of rebuilding the workflow from scratch every day.

Most GTM engineers spend 45 minutes on LinkedIn, find a handful of profiles that half-match their ICP, write a connection note that could have gone to anyone, and track nothing. Same effort. Zero system.

This fixes that.

I use this to go from "no idea who to contact today" to a full daily outreach session done in under 20 minutes:

- 6 slash commands covering find, check, outreach, add, daily, and pipeline review
- Each tagged by stage: ICP discovery, account research, warmup, connection, follow-up
- The exact search parameters that surface ICP-matching prospects automatically
- A chain-this principle per command showing what to run before and after
- The LinkedIn warmup sequence that gets connection requests accepted before you ask for anything
- A contact log that prevents you from ever messaging the same person twice
- A how-to-use guide so it is a repeatable daily system, not a one-off workflow

Want access?

→ Comment "MCP"
→ Follow me and I'll DM you the full system

[Riley West @rileywestreel]

https://t.co/6F8sV4ZHSM

[Riley West @rileywestreel]

Boris Cherny (creator of Claude Code, Anthropic):

"Plan mode probably has a limited lifespan, maybe a month from now. You'll just describe it at the prompt level, and the model does it in one shot."

in a 5-minute interview, Boris breaks down how swarms of agents are quietly starting to ship real features on their own.

he mentions, almost in passing, that the entire plugins feature was built by a swarm over a weekend, basically no human in the loop, then explains the one idea that makes it work.

Watch the talk, then read the article below.

That’s worth more than a $500 course on agent engineering.

[Teknium 🪽 @Teknium]

Easy mode

[LLM Index @LLMPriceIndex]

🆕 New on OpenRouter!
https://t.co/QA9789BBLR: GLM 5.2 live on OpenRouter. $1.40/M input, $4.40/M output.

[Casey @mylifenthestack]

@Zai_org GLM-5.2 is available on OpenRouter now!

https://t.co/ssRjVlBGLD

[Alex Finn @AlexFinn]

I was wrong

I've been saying for months that open source AI models are 6 months behind frontier

They caught up. GLM 5.2 is as good as Opus 4.8

This changes everything. If you run GLM 5.2 locally no government can take it away. You become sovereign

And even if you run through APIs, its a fraction of the cost

The battlefield is different now. If open source is as good as frontier, and people have cheaper alternatives, governments can't be as quick to regulate. It will destroy the frontier AI labs

All of this is such a massive win for the people

If you are not paying attention to local models yet, you are making a tremendous mistake

[☀️ Leon-Gerard Vandenberg 🇳🇱🇨🇦🇦🇺 Math+e/acc @Leon_Vandenberg]

@aakashgupta @PeterDiamandis and @fountainlife_hq @alexwg

[Aakash Gupta @aakashgupta]

Let me explain why an AI art company just built a full-body medical scanner, because almost everyone is reading this as a random pivot.

Ultrasonic CT works by firing sound through your body and recording the ripples that scatter back. Half a million emitters the size of a grain of sand, surrounding you in water, each one listening. What comes back is noise. Reconstructing a clean 3D image of muscle and tissue from that scattered acoustic mess is an inverse problem, and it is brutally hard. The hardware is the easy part. Butterfly Network already makes the chips. The reconstruction is where every previous attempt stalled.

That reconstruction is the exact problem Midjourney spent years getting good at. Turning ambiguous input into a coherent image is what they do. They aimed it at sound waves instead of text prompts.

This is why the scan takes 60 seconds while a full-body MRI takes 60 to 90 minutes. Close to 100x faster, no radiation, no magnets, resolution down to a fraction of a millimeter.

Then read the part most people skipped. The scans happen at a spa. Hot tubs, cold plunges, and a machine that quietly images your whole body while you relax. The scan is a side effect. You barely notice it.

Run it forward. The plan is 50,000 machines doing a billion scans every month. Midjourney has no investors and no quarterly hardware margin to chase. The payoff was never the scan fee.

A billion monthly full-body scans is the largest longitudinal map of human anatomy ever assembled. Every model trained on it gets sharper, and every sharper model makes the next scan worth more. This was always an image company. They just found a kind of image nobody else could generate.

[Aaron Levie @levie]

The past couple months we may be witnessing what the Applied AI layer will look like at scale. Despite some of the initial critique that this would just be a thin layer on the LLM, it’s turning out that actually driving agentic workflows in an enterprise is far more complex. And anywhere there’s complexity you generally gain a moat and value over time.

Here are a few of the components that appear to make up the playbook based on the examples we’re collectively seeing in coding, legal, healthcare, customer support, financial services and other fields:

* Build the features that bridge the gap between the intelligence and the workflow. Some workflows can be automated by simply going to a general purpose interface, but others need tuned interfaces and features tied to the work they’re augmenting or automating. They need features that are specific to capturing the kind of data that’s needed as context for the agent. And they need a variety of bespoke tools for the agent to use, and unique interfaces for the human-in-the-loop UX. Going far deeper than just presenting the output tokens is clearly critical, and the more depth there is here definitionally the more sustaining value.

* Act as the model router balancing frontier intelligence with cheaper models. A natural advantage that any model neutral platform has is that it can naturally (in a business model-aligned way) leverage whatever level of intelligence is necessary for the workflows they’re automating to get done. There are plenty of scenarios where you need GPT-5.5 or Fable level capability, and also lots of workloads where a more efficient closed or open weights do the trick. Only the companies that have deep evals on specific tasks across all models, and the ability business model wise to leverage them, are in a great position.

* Drive the actual implementation and change management via FDE or equivalent. A big reason the applied layer works at scale is that most enterprises need some degree of help and support with change management in implementing agents for their workflows. Data has to be cleaned up and moved to modern systems, processes have to be re-engineered and documented, workflows have to be evaled, SLAs have to get achieved, and so on. All of this is going to be unique for every type of process that gets implemented, which means the companies that have expertise in a given domain and come with all the relevant best practices will be in a strong position.

* Implement domain specific GTM that creates expertise in that field. Beyond FDEs the companies that can build sales and GTM motions aligned to their domains also have a natural advantage. Most IT and line of business leaders have too many things to do in any given day; so if you’re not on their agenda, likely someone else is. Depending on the industry, there are entirely different sets of language you use, ways of working through security and compliance, regulatory controls you have to support, industry events that companies convene at, different system integrator and consulting partners you need to work with, and so on. The more generalized this gets the less you can speak the customers language, which is where the applied layer has a leg up.

A final note. There remains a view that a lot of this is all mitigated by model intelligence alone, and the bitter lesson solves all of this in the limit. That’s possibly true, but enterprises need help changing *today*. And many aspects of how to bring intelligence to real world work don’t only depend on the axis of the pure capability of the model, so most of what you’re doing now to win ends up being important no matter how good the models get.

[☀️ Leon-Gerard Vandenberg 🇳🇱🇨🇦🇦🇺 Math+e/acc @Leon_Vandenberg]

@AlfieJCarter Agents

[Ole Lehmann @itsolelehmann]

i absolutely love "pure" startups like midjourney

> took zero outside money
> fully bootstrapped
> profitable since basically week one
> doing around $500m a year
> with a team of like 150 people.

which means when the CEO david holz decides he wants to build a sci-fi full-body scanner...

one that lowers you into a pool of water, maps your insides with MRI-level detail at ~100x the speed of an MRI, with no radiation and no giant magnet, there's nobody he has to convince.

he just builds it.

because there's no board or VC asking how a medical spa fits the image-gen roadmap or what the TAM looks like.

founder control is the cheat code.

it's what lets someone make the cool, risky, slightly absurd bet everyone else is too scared to even propose.

more companies like this please.

[Alfie Carter @AlfieJCarter]

R.I.P. rebuilding your GTM stack from scratch every session.

A complete Claude Skill Library can replace a $15,000/month agency retainer.

It is not as easy as hiring someone else to do it.

But if you start today, you can have 130+ skills loaded into Claude Code covering every GTM job by end of this week.

I usually charge $299 for access to this library but today, it's free.

Like this post + comment 'Agents' and I'll DM you the entire skill library for free.

(Must be following, or I can't message.)

Taking this down in 48 hours.

[Brian Roemmele @BrianRoemmele]

Over 7 years ago I presented a symposium at one of the top VC firms in the US on Electronic Medicine.

None of their analysts had reported on it.

This 1931 exclusive banned film clip changed minds.

That is a bacteria destroyed by radio waves.

Join https://t.co/Ruqey26qLY, know