Cloud Dev Chris (@clouddevchris) 's Twitter Profile
Cloud Dev Chris

@clouddevchris

I like science \ cloud native tech \ devops \ machine learning \ infosec \ codification \ applied technology \ automation and whimsical prose.

ID: 2428922090

calendar_today05-04-2014 13:37:37

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Met Office Science (@metoffice_sci) 's Twitter Profile Photo

In our latest Climate Conversations, Clare Nasir looks at the impacts of extreme heat and Alex Burkill catches-up with lead author Dr Gillian Kay, Met Office Senior Scientist Watch the full episode ⤵️ youtu.be/r2HTVUPMrkI?si…

LaurieWired (@lauriewired) 's Twitter Profile Photo

Fading out audio is one of the most CPU-intensive tasks you can possibly do! When numbers get really small, the number of CPU operations can explode 100-fold. In this LaurieWired video, we'll explore the IEEE 754 standard, the fight between Intel and DEC, and more!

OpenAI Developers (@openaidevs) 's Twitter Profile Photo

GPT-5 Startup Hackathon with Cerebral Valley We gave startups 24 hours to build with GPT-5. Over 275 builders flew in from around the world to hack with our team and Kevin Weil 🇺🇸. 👇 Here’s who took home the win of DevDay tickets and over $85,000 in credits- thanks to our

GPT-5 Startup Hackathon with <a href="/cerebral_valley/">Cerebral Valley</a> 

We gave startups 24 hours to build with GPT-5. Over 275 builders flew in from around the world to hack with our team and <a href="/kevinweil/">Kevin Weil 🇺🇸</a>.

👇 Here’s who took home the win of DevDay tickets and over $85,000 in credits- thanks to our
Viktor Zaverkin🇺🇦 (@viktorzaverkin) 's Twitter Profile Photo

🚨 New preprint: How well do universal ML potentials perform in biomolecular simulations under realistic conditions? There's growing excitement around ML potentials trained on large datasets. But do they deliver in simulations of biomolecular systems? It’s not so clear. 🧵 1/

🚨 New preprint: How well do universal ML potentials perform in biomolecular simulations under realistic conditions?

There's growing excitement around ML potentials trained on large datasets.
But do they deliver in simulations of biomolecular systems?

It’s not so clear. 🧵

1/
安坂星海 Azaka || VTuber (@azakasekai_) 's Twitter Profile Photo

Just saw a sick live demo of wireless headphone hijacking that allows the attacker to perform the following without ever pairing the device. All the attacker has to do is be in range. - read/write arbitrary bytes to device - read headphones information - dump firmware info -

Just saw a sick live demo of wireless headphone hijacking that allows the attacker to perform the following without ever pairing the device. All the attacker has to do is be in range.
- read/write arbitrary bytes to device
- read headphones information
- dump firmware info 
-
JB (@jasonbotterill3) 's Twitter Profile Photo

Vibe coded this game where you play against GPT-5 to guess where on Street View you are. These models are like super fucking CIA agents. Link to try at end of vid.

Samuel Hume (@drsamuelbhume) 's Twitter Profile Photo

Liver cancer is expected to almost double between now and 2050 – but most cases are preventable Hepatitis B: preventable Hepatitis C: preventable Alcohol: preventable Obesity/metabolic dysfunction (MASH): preventable

Liver cancer is expected to almost double between now and 2050 – but most cases are preventable 

Hepatitis B: preventable
Hepatitis C: preventable
Alcohol: preventable
Obesity/metabolic dysfunction (MASH): preventable
Biology+AI Daily (@biologyaidaily) 's Twitter Profile Photo

Energy-Based Models for Predicting Mutational Effects on Proteins 1. This novel study introduces EBM-DDG, a novel energy-based model for predicting the effects of mutations on protein-protein interactions. The model leverages statistical mechanics to estimate the probability of

Energy-Based Models for Predicting Mutational Effects on Proteins

1. This novel study introduces EBM-DDG, a novel energy-based model for predicting the effects of mutations on protein-protein interactions. The model leverages statistical mechanics to estimate the probability of
Dott. Orikron 🇵🇹 (@orikron) 's Twitter Profile Photo

🇨🇳 This robot won the 1500m race at the World Humanoid Robot Games here in Beijing. Unitree's H1 completed the nearly mile-long race in only 6m34s.

Yuxi on the Wired (@layer07_yuxi) 's Twitter Profile Photo

Hinton ~1983 thought Boltzmann Machines > backprop, but debugged himself out of the infatuation Boltzmann Machines failed to learn, so he printed out weights, 8 cm thick, and inspected them for weeks it's the dreaded local minimum so 1 yr later, in desperation, he tried backprop

Hinton ~1983 thought Boltzmann Machines &gt; backprop, but debugged himself out of the infatuation
Boltzmann Machines failed to learn, so he printed out weights, 8 cm thick, and inspected them for weeks
it's the dreaded local minimum
so 1 yr later, in desperation, he tried backprop
Longevity Technology (@longevitytech) 's Twitter Profile Photo

China’s only XPRIZE Healthspan Top 40 team is aiming for regenerative interventions that could extend healthy lifespan to 150 years. longevity.technology/news/prometheu… #longevity #aging #stemcells #regenerativemedicine #biotech #XPRIZE #ChinaInnovation

China’s only XPRIZE Healthspan Top 40 team is aiming for regenerative interventions that could extend healthy lifespan to 150 years.

longevity.technology/news/prometheu…

#longevity #aging #stemcells #regenerativemedicine #biotech #XPRIZE #ChinaInnovation
OpenAI Developers (@openaidevs) 's Twitter Profile Photo

You can now quickly eval GPT-5 and reasoning efforts across your existing responses. With the built-in grader, compare responses to find the best model and reasoning effort for you. ⚡️👀

Leon (@leonwohlgemuth) 's Twitter Profile Photo

Interactive online planetarium. Explore planets, stars, constellations, satellites and deep sky objects in your browser. Source: stellarium-web .org

VraserX e/acc (@vraserx) 's Twitter Profile Photo

GPT-5 just casually did new mathematics. Sebastien Bubeck gave it an open problem from convex optimization, something humans had only partially solved. GPT-5-Pro sat down, reasoned for 17 minutes, and produced a correct proof improving the known bound from 1/L all the way to

GPT-5 just casually did new mathematics.

Sebastien Bubeck gave it an open problem from convex optimization, something humans had only partially solved. GPT-5-Pro sat down, reasoned for 17 minutes, and produced a correct proof improving the known bound from 1/L all the way to