Doug LaBorde

Runner | Kyndryl | Former IBMer | Sales and Marketing Professional | Food Lover | Buckeye | Bourbon Drinker

[Patrick Byrne @PatrickByrne]

Scott Pressler for the win

[Doug LaBorde @DougLaBorde]

Makes sense to me

[David Sacks @DavidSacks]

The major broadcast networks (ABC, CBS, NBC) operate on free licenses of public spectrum in exchange for requirements to serve the public interest. They no longer do, and this is an obsolete model anyway. The spectrum should be auctioned off, with the proceeds used to pay down the national debt. Of course, the networks can bid on the spectrum, and they will win if broadcast networks are still the most highly valued use. What’s more likely to happen is that valuable spectrum will be reapportioned to the next generation of wireless applications, unleashing many more interesting options for consumers and businesses. The networks can continue to operate on cable, like hundreds of other redundant channels.

[Doug LaBorde @DougLaBorde]

Watch out below!

[Elon Musk @elonmusk]

Concerning

[Doug LaBorde @DougLaBorde]

This is fascinating!

[Alex Kendall @alexgkendall]

Today we're announcing #GAIA1: a 9B parameter world model, trained on 4,700 hours of driving data, able to simulate complex and diverse driving scenes from video, text and action inputs. This model is 480x larger than the preview we shared earlier this year and the results are incredible.

These videos are entirely synthetically generated by @wayve_ai's generative AI, GAIA-1. But there is more here than just generating videos, GAIA is an entire world model. A world model allows us to simulate the future, conditioned on video, text and action inputs, which can be leveraged for making informed decisions when driving.

Why is this game-changing for autonomous driving?

1. Safety. One limitation with AI systems like today's Large Language Models is that they are autoregressive, next-word prediction algorithms, but aren't necessarily aware of the implications of their decisions. A world model allows us to give our AI the capability to be aware of its decisions, by simulating the future, which is important for self-driving safety.

2. Synthetic training data. I believe synthetic training data is the future for AI, because it is safer, cheaper, and infinitely scalable. GAIA-1 unlocks unprecedented realism and diversity of synthetic data for self-driving.

3. Long-tail robustness. One of the biggest challenges for self-driving is long-tail robustness: dealing with the enormous magnitude of edge cases we see on the road. An advantage of generative AI is its incredible ability to recombine experiences in new ways. This is exciting for self-driving as it means we can learn from two edge case scenarios, and combine them to become a corner case. For example, we can experience driving in fog, and experience of jay-walking pedestrians, and GAIA can learn from these experiences to understand how to generate a fog+jay walking scenario.

Check out many more videos in our blog https://t.co/U44HQ82qeC or further technical details in our paper: https://t.co/w4nrPCy3Ph

Or come chat with our team who are at the International Conference on Computer Vision (#ICCV2023) this week in Paris in Booth 32 @Jamie_Shotton

[Doug LaBorde @DougLaBorde]

Data is getting in the way of the narrative again!

[Alex Berenson @AlexBerenson]

A new study on school Covid transmission is out.

For fall 2021, researchers looked at 34 schools with 18,000 students.

They found at most 44 in-school infections, including staff.

You read that right.

18,000 students. 34 schools. 44 Covid cases.

NEVER CLOSE SCHOOLS AGAIN.

[Doug LaBorde @DougLaBorde]

There is no one reason why our country is so unhealthy, but this certainly doesn't help. Thanks for the summary, Bobby.

[Robert F. Kennedy Jr @RobertKennedyJr]

Industrial-owned agriculture is not only giving us unhealthy food, it’s wiping out family farms and allowing China to take control of our landscapes.

[Doug LaBorde @DougLaBorde]

https://t.co/8AzFzVLZZp

It is nice to see Columbus at #3 in construction jobs created behind only New York and Dallas. But living here is like going to someone who is building their next level house - and it isn't finished yet. But right now it is very messy.

[Doug LaBorde @DougLaBorde]

Yes, so sad...

[Doug LaBorde @DougLaBorde]

@Delta please hold flight dl2861 for a few minutes for us. We just landed from San Juan and there was a medical emergency on our plane causing a delay in us deplaning.

[Doug LaBorde @DougLaBorde]

Mayor Ginther: Preserve Indianola Parking - Sign the Petition! https://t.co/NUdrxF4MjT via @Change

[Doug LaBorde @DougLaBorde]

@Avis still waiting. Why does it take so long? Makes me not want to rent again

[Doug LaBorde @DougLaBorde]

@avis what is the point of having a reservation if you need to wait an hour to pick up a car? Been hanging around the Tampa airport and a number of us are waiting on cars.

[Doug LaBorde @DougLaBorde]

How to take your assistant live without disruptions.

Getting Started with Watson Assistant: Ready for Liftoff by Arnesh Batlaw https://t.co/sf9D7Mwedz

[Doug LaBorde @DougLaBorde]

Outside North America WhatsApp is king. Watson Assistant can now answer questions through WhatsApp by Laura Money https://t.co/YOxGSSspaW

[Doug LaBorde @DougLaBorde]

I just published Gain Actionable Insight into what Customers are Saying About Your Business https://t.co/sYNsHkCVFW

[Doug LaBorde @DougLaBorde]

IBM Uses Kubernetes to Extend Cloud to On-Premises - Container Journal https://t.co/ckxKuxzVW9

[Doug LaBorde @DougLaBorde]

@RexChapman

[Doug LaBorde @DougLaBorde]

Wow have things changed in the past few months. #COVID19 has increased pressure on contact centers. Find out how #AI-enabled virtual agents can help: https://t.co/VIDHvJlDe6

[Doug LaBorde @DougLaBorde]

Analytics on the edge using IBM Cloud Pak for Data https://t.co/CkqZXBzgyA

[Doug LaBorde @DougLaBorde]

IBM Cloud Satellite brings IBM public cloud on premises | ZDNet https://t.co/TsvUBPOoWa