TVB

Mostly reading. Like to collect & combine good music & quotes.

[TVB @tvbweb2]

Value people who are capable of telling you the truth. To find a solution, first you need to understand a problem.

[Ethan Mollick @emollick]

I was an early tester of GPT-5.6 Sol. I was asked to not share demos until after launch but it is a very good model.

It is of similar ability, but quite different feel, than Fable. Fable wants to go off and do work on its own pace, Sol is faster but works with you in steps more.

[Aaron Levie @levie]

Just coming off of meetings with a couple dozen enterprise IT leaders discussing AI agents. Here are a few of the common themes that stand out:

* Lots of conversation that you have to solve an operating model challenge to get the full benefits of AI. Most companies have orgs that have always operated in siloes; but agents are most effectively when they are tied to a process, which often cuts across these siloes. So the big question is how do you start to deploy centrally managed agents that can work across organizational boundaries. Who manages these agents? How do they get deployed and adopted?

* Data fragmentation remains a major issue for most organizations. As long as data remains highly fragmented and not in standard formats, or data is not available to the right people and agents, enterprises are dealing with issues around being able to get answers from agents that are accurate or that conform to their business practices. This cuts across both systems with structured data (product metrics or revenue figures) and unstructured data (product roadmap or customer contracts).

* Clear sense that companies need to figure out what their core data moats are going to be in the future. If everyone has access to roughly the same superintelligence from the various models, then the context that you feed the models becomes proprietary value in the future. Capturing this data and getting it into a format that agents can use becomes very important.

* Everyone is trying to figure out the right metrics to manage to for AI adoption. General consensus that tokens are not the right metric per se, and people leaning more toward business outcomes (in an ideal world). For business outcomes (like more revenue or more shipped product), though, you have to get close to each individual workflow to figure out if it was successfully transformed with AI so it’s harder to manage top down.

* Growing view that enterprises are going to live in a multi-model world. Lots of interest (though early in actual adoption) in layers that can route workloads to different models (frontside or open weights) for cost or performance reasons. Also enterprises are trying to figure out what things do you give to the models directly vs. what do you separate as horizontal systems and context so you can swap any system in and out.

* Talent for driving AI adoption and implementation still remains a major issue and topic. Many view it as something you necessarily have to train for internally due to a shortage of talent being trained on this in the outside. As an aside, this feels like it remains a huge opportunity for those that get very good at deploying and management agents in an enterprise since most companies are looking for these skills.

* The best use-cases for AI tend to be those that fundamentally change the work being done instead of just replacing an existing process and doing it more efficiently. Companies are working through their versions of this individually because it’s different per industry, but this often remains both the most exciting and higher upside uses of AI.

Many more topics discussed recently, but overall it’s clear that there’s a ton of change going on with much more to come.

[TVB @tvbweb2]

@WordsnWisdom26 Just started watching Seinfeld (currently the season 3) -- and I do like it!

[Words & Wisdom @WordsnWisdom26]

The secret of life is to waste time in ways that you like.

- Jerry Seinfeld

[TVB @tvbweb2]

Lang passed legislation that mandated an across-the-board 22.5% reduction in all private rents across New South Wales. This directly lowered the cost of living for struggling families, shifting the economic burden of the Depression onto property owners.
https://t.co/1TADjxYMBC

[Mayor Zohran Kwame Mamdani @NYCMayor]

It might be hot outside but the rent is freezing.

[TVB @tvbweb2]

"Always back the horse named self-interest ... It'll be the only one trying."

[TVB @tvbweb2]

"every one of these what you would call I suppose what the newspapers called government leaders they're all depending on bureaucrats they're all doing what they're told to do..."
-- Jack Lang
https://t.co/aMfTEa4xIQ

[TVB @tvbweb2]

@optionscjp The opposite of "nothing new under the sun"
is "it's refreshing," imo.

[TVB @tvbweb2]

@optionscjp Nothing new under the sun 🙂

[TVB @tvbweb2]

@edels0n @GaryMarcus I think it's called being cynical.

[TVB @tvbweb2]

@AnthropicAI I wish there were an AI company that just simply said, "AI is a tool. We're developing a great tool that will help people be more productive, which will allow scientists to discover new methods that might lead to new discoveries. AI will empower people," instead of this marketing

[Jeremy @JeremyD513]

@OpenRouter has all of them 💪

[Michelle Labs @MolecularLab_]

Loaf pan basque cheesecake.🍰😋

[TVB @tvbweb2]

Making a politician, explained.

[Seinfeldism @Seinfeldism1]

I'll tell you what I'm looking at: the next condo president of Del Boca Vista, Phase Three. / S09E15 The Wizard #Seinfeld #Seinfeldism

[TVB @tvbweb2]

@DavidSacks https://t.co/8IutHoi6nV

[clem 🤗 @ClementDelangue]

Lots of people are advocating for more American open-source models these days which is amazing but very few people do anything about it!

Latest example, Alex Karp came out advocating for American open-source models as a necessity! At the same time, @PalantirTech is a free org on HF with 0 open-source models and 0 public datasets shared.

Time to switch from talking to contributing for all!

[TVB @tvbweb2]

@DavidSacks These are the questions I assume most people think of when they hear you talk about the importance of the open source.

[TVB @tvbweb2]

@JOANDURAND4 @pmarca Thanks for the recommendation. I will give it a try.

[TVB @tvbweb2]

@the_transit_guy @pmarca @ATabarrok Objectivity is not a common characteristic among people, unfortunately 😕