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Today we're launching a new era for Octolens. When we started Octolens, we set out to build a social listening dashboard. Today, our best customers barely open it. Daily active users are down, but revenue is up 5x over the last year. So we rebuilt Octolens as what it... show more

Charlotte Schmitt

1,807 subscribers

19,890 просмотров • 3 месяцев назад •via X (Twitter)

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Комментарии: 7

Фото профиля Miles

Miles3 месяцев назад

@Octolens Congrats! Looks awesome, going to give it a try

Фото профиля Charlotte Schmitt

Charlotte Schmitt3 месяцев назад

@Octolens Awesome, let me know what you think!

Фото профиля Miles

Miles3 месяцев назад

@Octolens DM'd you some feedback!

Фото профиля Hans

Hans3 месяцев назад

@Octolens I like that you have made yourself vulnerable. I will sign up and use the api with codex.

Фото профиля Edgar Magaña

Edgar Magaña3 месяцев назад

@Octolens Congrats on launch!

Фото профиля Bhagat Singh

Bhagat Singh3 месяцев назад

@Octolens Congrats for launch its looks good

Фото профиля Hemant

Hemant3 месяцев назад

@Octolens We've been feeding agents public convos but the integration friction is real. How's the MCP latency looking in production? Any early wins on agent-to-agent handoffs?

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While I'm already seeing great results using it for internal work items, I'm especially thrilled about the personal health and wellness work it's doing for me. I know there are plenty of apps out there for compiling wellness data, but I'm having it build a tool tailored specifically for what I need, without the extra fluff. And none of my health data is being donated to the closed AI labs or sent to advertisers. I know that the AI logic is not being silently adjusted to fit the whims of a large corporation that has paid for product placement. It's me, state of the art AI, and my data. That's how I want it. Maple's new agent makes that possible. We can't wait for you to try it out. If you want early access, comment here, email us, reach out in some way. To those on the other agent waitlist, you're already in the queue. Thanks for reading this lengthy update. :)

Mark

46,970 просмотров • 2 месяцев назад

.L3Harris says Palantir helped them beat frontier AI models in less than 2 days, at 95% lower cost: "When we fine-tuned open source models trained on our own data, we were able to outperform the frontier models in less than 48 hours." "The cost of our fine-tuned open source model was 95% lower than the frontier models we were using." "AI is a commodity. It's all about the data. We view our data as a corporate asset. It's our unique hard-earned knowledge." "We believe American defense companies should not be a vassal for frontier AI labs, handing over our data and institutional knowledge, hoping to rent back the intelligence it creates." " We own the model, we own the compute, we own the advantage."

.L3Harris says Palantir helped them beat frontier AI models in less than 2 days, at 95% lower cost: "When we fine-tuned open source models trained on our own data, we were able to outperform the frontier models in less than 48 hours." "The cost of our fine-tuned open source model was 95% lower than the frontier models we were using." "AI is a commodity. It's all about the data. We view our data as a corporate asset. It's our unique hard-earned knowledge." "We believe American defense companies should not be a vassal for frontier AI labs, handing over our data and institutional knowledge, hoping to rent back the intelligence it creates." " We own the model, we own the compute, we own the advantage."

Jawwwn

1,105,799 просмотров • 28 дней назад

David Friedberg says with open source, we no longer even need data centers for 90% of what we use AI for "I thought it was worth taking a step back to recognize where we are because in the context of 'we have to stop the super intelligence, we have to shut down the data centers,' you don't even need data centers to do 90% of what you can do with AI." "You can download it on your computer for free today to do what was the most advanced technology in human history less than a year ago. It's all here today." "And I thought it was just worth taking a beat to step back and make sure we all recognize that as we get into this debate about these, quote, labs or corporations. I don't know if it even matters anymore. I think open source is here."

David Friedberg says with open source, we no longer even need data centers for 90% of what we use AI for "I thought it was worth taking a step back to recognize where we are because in the context of 'we have to stop the super intelligence, we have to shut down the data centers,' you don't even need data centers to do 90% of what you can do with AI." "You can download it on your computer for free today to do what was the most advanced technology in human history less than a year ago. It's all here today." "And I thought it was just worth taking a beat to step back and make sure we all recognize that as we get into this debate about these, quote, labs or corporations. I don't know if it even matters anymore. I think open source is here."

dnap

27,703 просмотров • 12 дней назад

As soon as you try to run 2 agents on the same data, everything breaks: • Agent 1 reads some data and starts working. • Two seconds later, Agent 2 changes that same data. This is a problem. Agents will waste tokens on stale data, overwrite each other's work, and redo tasks the other has already finished. You can't prompt your way out of this mess. Everything old in software engineering is new again. We need proper coordination when running multiple agents. Here is a good open-source solution for this: Omnigraph is a graph database for context assembly and multi-agent coordination. Here is how it works: • It sets one shared place where multiple agents will work from • Each agent gets their own copy of the data • Agents write their changes to their copy • When an agent is done, it merges its changes back Three huge benefits from this model: 1. We know it works. We've been doing this for decades already. 2. No more lost information or agents stepping on each other's toes. 3. You get a complete trail of which agent did what and when. I recorded a video to show you a bit more about this. Here is the link to the Omnigraph GitHub repository:

As soon as you try to run 2 agents on the same data, everything breaks: • Agent 1 reads some data and starts working. • Two seconds later, Agent 2 changes that same data. This is a problem. Agents will waste tokens on stale data, overwrite each other's work, and redo tasks the other has already finished. You can't prompt your way out of this mess. Everything old in software engineering is new again. We need proper coordination when running multiple agents. Here is a good open-source solution for this: Omnigraph is a graph database for context assembly and multi-agent coordination. Here is how it works: • It sets one shared place where multiple agents will work from • Each agent gets their own copy of the data • Agents write their changes to their copy • When an agent is done, it merges its changes back Three huge benefits from this model: 1. We know it works. We've been doing this for decades already. 2. No more lost information or agents stepping on each other's toes. 3. You get a complete trail of which agent did what and when. I recorded a video to show you a bit more about this. Here is the link to the Omnigraph GitHub repository:

Santiago

28,865 просмотров • 17 дней назад

The UCP is only taking direction from foreign billionaires on AI data centres. We are listening to you! So this August, we're launching a public consultation tour, and you're invited. Together we will make decisions in the best interest of all Albertans.

The UCP is only taking direction from foreign billionaires on AI data centres. We are listening to you! So this August, we're launching a public consultation tour, and you're invited. Together we will make decisions in the best interest of all Albertans.

Naheed Nenshi

66,282 просмотров • 2 месяцев назад

Is the future of AI $NEAR … ? OpenAI is racing toward a $1T IPO, quickly becoming a centralized beast of epic proportions. But what happens to your data in that world?? As chronear explains, “We can't let centralized actors determine how they store or how they use user data. It should be the users who actually control the custody or use of their data." NEAR AI is building a truly open AI, open source, where users control their data and store their data locally. What AI do you use daily? And would you switch if a better decentralized option existed?

Is the future of AI $NEAR … ? OpenAI is racing toward a $1T IPO, quickly becoming a centralized beast of epic proportions. But what happens to your data in that world?? As chronear explains, “We can't let centralized actors determine how they store or how they use user data. It should be the users who actually control the custody or use of their data." NEAR AI is building a truly open AI, open source, where users control their data and store their data locally. What AI do you use daily? And would you switch if a better decentralized option existed?

Bri Teresi

25,101 просмотров • 6 месяцев назад

Last week we launched our Superagents. This is the fastest I’ve seen a product grow from 0. A lot of excitement from users, and more importantly – people actually started using it in real workflows almost immediately. We started getting a lot of feedback from how people were actually using it. We shipped 8 things to Base44 Superagent this week. The one I can't stop demoing: Mini Apps is wild. Your agent can now build and show a small working app right inside the conversation. Not text, actual interactive UI with your real data.

Last week we launched our Superagents. This is the fastest I’ve seen a product grow from 0. A lot of excitement from users, and more importantly – people actually started using it in real workflows almost immediately. We started getting a lot of feedback from how people were actually using it. We shipped 8 things to Base44 Superagent this week. The one I can't stop demoing: Mini Apps is wild. Your agent can now build and show a small working app right inside the conversation. Not text, actual interactive UI with your real data.

Maor Shlomo

14,175 просмотров • 6 месяцев назад