Sam Kenyon

Freelance software & cloud engineer. Worked for iRobot, Qt, MIT, Boston U., Bio-Rad and many others.

[Sam Kenyon @MetaDevo]

Archaeologists Found 115,000-Year-Old Human Footprints Where They Shouldn’t Be https://t.co/Npt9BTaP6u

[alex sammon @alex_sammon]

My dispatch from the largest citrus graveyard in America, the Orange necropolis, where, seemingly unbeknownst to most, the iconic breakfast beverage of the great American century—Orange Juice—finally ran dry. https://t.co/iNHHIRr0sv

[NASA @NASA]

The countdown begins.

Teams at @NASAKennedy have arrived to their stations at the Launch Control Center. We are about 48 hours from the launch of the Artemis II mission around the Moon. https://t.co/PqaR8eyxu4

[Natalie Fratto @NatalieFratto]

Boop there she is

@NASA_Events

[Pulp Librarian @PulpLibrarian]

Testing microgravity with monkeys. Chesley Bonestell's illustrations for Colliers magazine (1952)

[D.S. Nelson @process_x]

@SamVanivray @klara_sjo We shouldn’t confuse current LLM limitations with theoretical limits. Kinetic intelligence requires constraint grounded learning, not just token prediction. That’s an architectural question, not a philosophical impossibility.

[Elad Inbar @Inbarium]

CES, the world's largest tech show, just concluded in Las Vegas.

With robotics and AI front and center, it was supposed to show how far autonomy has come.

Instead, it exposed a much harder reality.

Here are the top highlights: (CES without the B.S.)

[Sam Kenyon @MetaDevo]

Moltbot Gets Another New Name, OpenClaw, And Triggers Security Fears And Scams https://t.co/N6KW7jUHS5

[Sam Kenyon @MetaDevo]

Moving Goalposts: AI's Favorite Pastime Is a Symptom of a Bigger Problem

https://t.co/bEc0FWcrF0

[Steve Ruiz @steveruizok]

my little $25 chatboi

[Remi Cadene @RemiCadene]

Faster than expected

[Sam Kenyon @MetaDevo]

Ford has an AI assistant and new hands-free BlueCruise tech on the way https://t.co/Db4nmVesEA

[Sam Kenyon @MetaDevo]

Giant Robots 3D-Print a Walmart Expansion in Seven Days https://t.co/wmQXRA7L2g

[Chris Paxton @chris_j_paxton]

An autonomous @rivr_tech delivery robot being tested in Pittsburgh. Snow, ice, hills and stairs everywhere: it was genuinely feeling dangerous as a human to go outside at times. Really a great stress test for the robots.

[Sam Kenyon @MetaDevo]

What Actually Makes You Senior https://t.co/uo0ka4BYud

[Sam Kenyon @MetaDevo]

iRobot Co-Founder Calls Silence on China Sale “Bizarre”

https://t.co/12qussIPzu

[Mishaal Abbasi @WhereIsMishaal]

bad day to be a Waymo in SF during a PG&E-induced power outage

[Sam Kenyon @MetaDevo]

My former employer iRobot has been bought by a Chinese supplier after filing for bankruptcy.

A few years ago, they were going to be bought by Amazon in a $1.4B deal but the deal was destroyed by EU authorities and Senator Warren / the FTC in the US.

https://t.co/q704glSQIp

[Sam Kenyon @MetaDevo]

Why Good Products Feel Broken #UX https://t.co/ZL66WgZfvJ

[Mehdi (e/λ) @BetterCallMedhi]

I believe DARPA just launched the most audacious bioengineering program of the decade & nobody’s talking about it loud enough

I spent hours reading through the Generative Optogenetics program documentation & honestly I’m still processing the implications of what they’re trying to build

this is about creating molecular machines that can be expressed in living cells to translate optical signals directly into DNA and RNA sequences on demand

think about what this means…. you shine specific wavelengths of light at a cell & it writes its own genetic code in realtime without any external DNA delivery no viral vectors no CRISPR cassettes just light triggering nucleotide incorporation based on photon wavelength

this is a FOUNDATIONAL shift in how we interface with biology bc right now if you want to deliver genetic instructions to cells you need massive supply chains synthesis facilities cold storage delivery mechanisms that break down over distance

DARPA GO wants to turn living cells into programmable biological systems where you can transmit genetic information massively via optical signals & the cell synthesizes the exact sequence you need using its own machinery

the implications are absolutely wild :

single-cell spatial resolution temporal precision to deliver different messages sequentially remote scalable dissemination of genetic instructions

Imagine regenerative medicine where you shine light patterns on damaged tissue & cells reprogram themselves in situ

manufacturing where bacterial cultures synthesize complex molecules on command via optical programming

agriculture where crops adapt their genome in response to environmental light signals…

what fascinates me most is that this high risk program acknowledges we’re building a direct interface between computers that design genetic sequences and living cells that execute them

we’re not just editing genes anymore we’re creating a bidirectional communication protocol between silicon & carbon where light becomes the universal language

If GO succeeds it unlocks programmable biology at a SCALE

we’ve never seen before this is how you get to foundational capabilities for extended spaceflight for on demand therapeutics for manufacturing without brittle supply networks

this is the kind of moonshot that changes EVERYTHING