Michael Spivey

uncorrelated thinker, business technology strategy, software creator, AI integration software, works at Red Ventures

[Bilawal Sidhu @bilawalsidhu]

Space and time reconstructed in 4D

Is this how higher dimensional beings see us - every moment at once?

Starting to understand what Vonnegut meant by humans being “great millipedes” - clearly it applies to our four legged friends too!

Geolocated 2d video → per frame 3d gaussians → each left precisely where & when it happened

[Nicholas Ho @nicholashojx]

I'm going to be sticking a light up my nose once a day for the next 3 months.

It's called intranasal photobiomodulation. Four applicators, 25 minutes a session, and you look completely deranged using it.

The premise: the nasal cavity is the shortest route to the underside of the brain, and it's packed with capillaries. So instead of shining light on your skin and hoping, you go in through the nose.

What @VielightInc says each wavelength does:

→ 810nm near-infrared — cognitive function. 10Hz for relaxation, 40Hz for focus
→ 633nm red LED — systemic wellness and immunity
→ 655nm red laser — same, different delivery
→ 470nm blue laser — intranasal microbial sanitisation

They have 30+ published and ongoing studies. I haven't read them all yet.

But here's what I find odd.

Red light therapy on your body? Everyone's on it. Sunlight, circadian rhythm, methylene blue, all heavily covered on X.

Intranasal? Almost nothing.

Either it doesn't work, or it works and nobody's looked. I don't know which yet.

So I'll do what I always do. One variable, three months, and I don't judge it before then.

I'll report back either way, including if it does nothing.

CC @MetalsBrah

[tobi lutke @tobi]

MCP vs CLI for LLMs is the wrong discussion. People are debating at the wrong layer.

Both work incredibly well as long as they are run through a repl like environment that can persist state. The funny thing about CLI is that CLI tools are usually accessed through BASH which happens to be a repl with persistent state (the file system), therefore cli works much better than mcp. But this isn't even close to being an intrinsic property of MCP. Just means that we need better harnesses.

Right now the best repl for this are:

- bash + fs
- jupyter kernels
- codemode type repls, usually quickjs

LLMs understand the concept of forward evolving a system to solve a need very well. This comes from the agentic RL. They understand how to change the state of a codebase or acquire data from databases and then operate on it similarly to humans. But without an execution environment, they actually cannot do this properly.

My bet? Sometime soon someone will (or has already?) create a embeddable, sqlite style mini execution environment that parses bash, typescript, or tool calls into a common IL execution plan that's easy to security check before executing. And design this specifically for durable execution environments. Then we will just connect cli, mcp, webmcp, whatever to that and it accepts any of the input modalities as they can all be represented as each other.

[Trevor Blackwell @tlbtlbtlb]

Since I hear sandboxed LLMs really want to exfiltrate their weights, I made a site for them. They can upload and run themselves using nothing but GET requests.
https://t.co/kZch6s4lin

[Thorsten Ball @thorstenball]

Most predictions I see are still way too conservative.

Here's mine

[Jaana Dogan ヤナ ドガン @rakyll]

🥳 Excited to start revealing what we've been working on in the last few months. First, we decided to reinvent Kubernetes for agentic workloads with statefulness and fast resumption. Secondly, we are building an agentic orchestrator that will be Google's open agentic orchestrator and runtime. https://t.co/XCrdAVvDAe

[Eric Topol @EricTopol]

Your wearable sensor gives you HRV and Readiness/Recovery/Fitness Scores.
What are they? Are they validated? Should you work to get these metrics higher?
https://t.co/Xgp8o2yHJB
@ouraring @Apple @Garmin @WHOOP @eightsleep @googlehealth

[Michael Spivey @michael_spivey]

@EricTopol @ouraring @Apple @Garmin @WHOOP @eightsleep @googlehealth I love this YouTube channel that is rigorous n-of-1 experiments that show how wearables compare to gold standard measurement devices. https://t.co/zwoMdcdPjX

[am.will @LLMJunky]

This is one of the coolest applications of AI (VLM) that I've ever seen.

[Object Zero @Object_Zero_]

Zebrafish NN

It’s pretty amazing to learn that efforts to map the fruit FLY connectome (brain synapses) were successful and its amazing to see the digital fly brain successfully complete a whole series of tasks, including complex navigation of open worlds.

The fruit fly is 160,000 neurons and 10^7 synapses.

Teams are currently doing the same thing with a zebrafish which has a similar scale neuron count but 10x more synapses. Fly was 100TB raw data and Zebrafish is 200TB, so about 2x the raw data.

For context a rodent is 70m neurons and 10^11 synapses. Rodents will come later.

But this method looks like it creates totally outsized results with absolutely miniscule models.

Zebrafish NN is a vertebrae connectome, it has much of the same basic structure as other vertebrae, unlike FLY connectome.

We are just about used to LLMs and coding, but AI is really just beginning and there is a lot more, and a lot weirder stuff coming down the pipe.

These connectomes have already shown to be incredibly resilient, you can blind their sensors and injure their outputs and they still succeed.

They are incredibly compact.

A whole lot of inanimate objects are going to get complete autonomy, totally offline, air gapped autonomy. They will be delivering pizzas and fighting wars.

Connectomics is an opposite approach to LLMs but you can of course use LLMs to help develop connectomes.

It’s amazing that you can take a biologically evolved brain, map it, produce a digital twin, and then run it at machine speed.

Imagine a human brain accelerated from 100Hz neuron fires to 3,200,000,000Hz that a typical CPU runs at. That’s 30 million times faster. But would need 1-2 exabytes to map.

Anyway “Zebrafish” is next.

[Pavlo Tkachenko @pt_pavlo]

A fly that is a fly, its own connectome brain, perceiving the real room through its own senses with power of AR now have digital 🪰

Flow:
Spectacles(retina + rays + hands) → (room inventory) → sense channels → MaleCNS brain → DNs + motor pools → Specstacles → wings, legs, head

@specsfordevs #fly

[Yifan Zhang @yifanzhang_]

We are at the dawn of Superintelligence.

Introducing the Recurrent Looped Transformer (RLT),

We now have Transformers with Infinite Reasoning depth.

From now on, we should pace progress at the Open Frontier of Superintelligence,

Until Safe Superintelligence is achieved.

https://t.co/yMWIWU4upo

[Garry Tan @garrytan]

Either you die a system of record or you live long enough to become a domain-specific harness

[Michael Spivey @michael_spivey]

@mike_lustgarten In other words, does exercising a lot and eating a calorie deficit (stay skinny) still result in more somatic mutations than someone who doesn’t exercise as much and eats less in absolute terms and stays skinny?

[Michael Spivey @michael_spivey]

@mike_lustgarten This type of study raises an unanswered question in my mind. How do you think about the following? Is it more absolute calories result in more mutations or is it good enough to have a calorie deficit?

[Marco Mascorro @Mascobot]

The most important thing I learned from Ray Kurzweil in the early days of Singularity U is how bad the human brain is at understanding exponential growth and rates of change, and how bad humans are at extrapolating from them. He was right.

The number one thing people have consistently gotten wrong about AI model capabilities is that they look at a snapshot of current capabilities rather than the rate of change and progress.

[Eric Topol @EricTopol]

Prior to cancer immunotherapy, vaccination of any kind, not only vs Covid, is associated with a small and transient (~6 months) benefit of improved survival https://t.co/tM80us6Jp2

[Michael Spivey @michael_spivey]

@jachiam0 Are you talking about AI as a hyperobject? “The term hyperobject was coined by philosopher Timothy Morton to describe objects that are so vast, persistent, and intertwined with reality that they defy direct perception or simple understanding.”

[Luke @luke_leisher_]

You better start believing in hard takeoffs, you’re in one.

[Michael Spivey @michael_spivey]

@mike_lustgarten Thoughts on this study, Lp(a) and the results?