Vaultic Ventures (@vaultic) 's Twitter Profile
Vaultic Ventures

@vaultic

ID: 52157042

calendar_today29-06-2009 19:20:16

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Brett Adcock (@adcock_brett) 's Twitter Profile Photo

AI and Robotics have been developing at an incredible pace. Here are the 15 most important developments that happened this week: 1. NVIDIA revealed Project GR00T, a foundation model to help robots understand the world

Massimo (@rainmaker1973) 's Twitter Profile Photo

Fruit farmers' most difficult task is organizing the harvest. Tevel's drones select, pick and box only ripe fruits with the help of an AI x.com/i/status/17791…

Min Choi (@minchoi) 's Twitter Profile Photo

We are done for. Robots are now shopping with you, walking, running, and even dancing. 10 wild examples: 1. Shopping with robot and robot dog in Milano

Min Choi (@minchoi) 's Twitter Profile Photo

This is wild. Humanoid robots can now copy elite athletes and dance movements using ASAP (Aligning Simulation and Real Physics), an AI framework presented by CMU researchers and NVIDIA. 10 wild examples: 1. APT Dance

Min Choi (@minchoi) 's Twitter Profile Photo

This is wild! ByteDance's Goku+ AI turns text into hyper-realistic ad videos, cutting costs by up to 99%! Ads will never be the same. 10 wild examples:

Tivadar Danka (@tivadardanka) 's Twitter Profile Photo

Differentiation reveals much more than the slope of the tangent plane. We like to think about it that way, but from a different angle, differentiation is the same as an approximation with a linear function. This allows us to generalize the concept. Let's see why:

Differentiation reveals much more than the slope of the tangent plane.

We like to think about it that way, but from a different angle, differentiation is the same as an approximation with a linear function. This allows us to generalize the concept.

Let's see why:
Brett Adcock (@adcock_brett) 's Twitter Profile Photo

For the first time, a humanoid robot can fold laundry using a neural net We made no changes to the Helix architecture, only new data

Georgia Channing (@cgeorgiaw) 's Twitter Profile Photo

🔥 It's here: OpenFold3 is now live. THE open-source foundation model for predicting 3D structures of proteins, nucleic acids & small molecules. This is where the future of drug discovery and biomolecular AI lives. Built by openfold. Hosted on Hugging Face. 👇 more

🔥 It's here: OpenFold3 is now live.

THE  open-source foundation model for predicting 3D structures of proteins, nucleic acids & small molecules. This is where the future of drug discovery and biomolecular AI lives.

Built by <a href="/open_fold/">openfold</a>. Hosted on <a href="/huggingface/">Hugging Face</a>.
👇 more
Satya Nadella (@satyanadella) 's Twitter Profile Photo

Today we announced our new Fairwater datacenter in Atlanta, connected with our first Fairwater site in Wisconsin and our broader Azure footprint to create the world’s first AI superfactory. Fairwater exemplifies our vision for a fungible fleet: infra that can serve any workload,

Microsoft Events (@events_msft) 's Twitter Profile Photo

Tomorrow #MSIgnite kicks off the next wave of AI transformation. ⚡️🌐 Join us live at 9AM PT as Microsoft leaders unveil what's next in AI, cloud, and security. Save this post and tune in: msft.it/6019tRMz1

Deedy (@deedydas) 's Twitter Profile Photo

Valve, the makers of Steam, Half-Life and CounterStrike, made ~$17B in revenue this year with ~336 employees. That's >$50M per employee, the highest for any (non-crypto) company in the world. The average pay is ~$1.3M/person. One of the most efficient businesses of all time.

Valve, the makers of Steam, Half-Life and CounterStrike, made ~$17B in revenue this year with ~336 employees.

That's &gt;$50M per employee, the highest for any (non-crypto) company in the world. The average pay is ~$1.3M/person.

One of the most efficient businesses of all time.
Adi Oltean (@adi__oltean) 's Twitter Profile Photo

We have just used the @Nvidia H100 onboard Starcloud-1 to train the first LLM in space! We trained the nano-GPT model from Andrej @Karpathy on the complete works of Shakespeare and successfully ran inference on it. We have also run inference on a preloaded Gemma model, and we

We have just used the @Nvidia H100 onboard Starcloud-1 to train the first LLM in space!

We trained the nano-GPT model from Andrej @Karpathy on the complete works of Shakespeare and successfully ran inference on it. 

We have also run inference on a preloaded Gemma model, and we