正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

Offense at scale starts with an API. Today, we’re launching the XBOW Public API in Public Preview. Autonomous pentesting gave teams expert-level assessments in hours. But turning that capability into infrastructure required one more piece: programmatic access. Teams can now trigger and manage pentests across their entire portfolio; start,... pause, resume, and monitor assessments at machine speed. Findings, assets, reports, and webhooks are all accessible through a production-ready API built to integrate directly into existing workflows. The result: run one pentest or one hundred with the same depth, autonomy, and exploit validation. No scheduling. No bottlenecks. No choosing which applications get coverage. Public Preview is live as of February 1, 2026. More here:show more

XBOW

11,563 subscribers

12,257 次观看 • 5 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

XBOW + Microsoft: continuous pentesting, now inside Microsoft Security. 🚀 Discover assets + launch pentests in Security Copilot 🔍 Exploit-validated findings → Sentinel 📐 Copilot correlates attack paths with live telemetry No more periodic tests. No more disconnected reports. Just a continuous loop: test → validate → detect → remediate → retest See how to deploy: Booth #1843 RSAC

XBOW + Microsoft: continuous pentesting, now inside Microsoft Security. 🚀 Discover assets + launch pentests in Security Copilot 🔍 Exploit-validated findings → Sentinel 📐 Copilot correlates attack paths with live telemetry No more periodic tests. No more disconnected reports. Just a continuous loop: test → validate → detect → remediate → retest See how to deploy: Booth #1843 RSAC

XBOW

83,147 次观看 • 4 个月前

For the past 2 months, XBOW has been testing Mythos Preview under embargo as part of a select early-access group. Today, we can finally share what we found. The headline: Mythos Preview is a major advance. It is substantially better than prior models at finding vulnerability candidates, especially when source code is available. But it’s not perfect. We surfaced issues with exploit validation, judgment, and efficiency. Our full write-up covers where Mythos Preview shines, where it still needs support, and what we think this means for the future of offensive security:

For the past 2 months, XBOW has been testing Mythos Preview under embargo as part of a select early-access group. Today, we can finally share what we found. The headline: Mythos Preview is a major advance. It is substantially better than prior models at finding vulnerability candidates, especially when source code is available. But it’s not perfect. We surfaced issues with exploit validation, judgment, and efficiency. Our full write-up covers where Mythos Preview shines, where it still needs support, and what we think this means for the future of offensive security:

XBOW

105,868 次观看 • 2 个月前

Introducing Lobstack: Simplifying AI Deployment and Management For the past month, I’ve been building something I kept running into myself. Everone knows by now that OpenClaw is powerful. BUT, deploying it shouldn’t require DevOps. Lobstack provisions a dedicated server for you and installs OpenClaw automatically — one click, and your agent is live within minutes. No Docker setup. No terminal. No infrastructure babysitting. Not one line of code. You can choose your dedicated server location, select your LLM (our universal API or your own API), and interact with your agent through the custom web UI or Telegram. Discord, Slack, and more coming. Under the hood, it’s persistent, guarded, and capped — built to run 24/7 like real software. We’re also building a skill + API marketplace and exploring desktop and mobile apps to make agent communication seamless. It’s early. I’d genuinely value feedback from builders, operators, and anyone thinking about autonomous AI infrastructure. Or even any business owner that wants to implement AI into their operations. Try it out: Follow Lobstack for updates. Thanks OpenClaw🦞 community and Peter Steinberger 🦞

Introducing Lobstack: Simplifying AI Deployment and Management For the past month, I’ve been building something I kept running into myself. Everone knows by now that OpenClaw is powerful. BUT, deploying it shouldn’t require DevOps. Lobstack provisions a dedicated server for you and installs OpenClaw automatically — one click, and your agent is live within minutes. No Docker setup. No terminal. No infrastructure babysitting. Not one line of code. You can choose your dedicated server location, select your LLM (our universal API or your own API), and interact with your agent through the custom web UI or Telegram. Discord, Slack, and more coming. Under the hood, it’s persistent, guarded, and capped — built to run 24/7 like real software. We’re also building a skill + API marketplace and exploring desktop and mobile apps to make agent communication seamless. It’s early. I’d genuinely value feedback from builders, operators, and anyone thinking about autonomous AI infrastructure. Or even any business owner that wants to implement AI into their operations. Try it out: Follow Lobstack for updates. Thanks OpenClaw🦞 community and Peter Steinberger 🦞

Brandon M. Crenshaw

127,997 次观看 • 5 个月前

I built a stock market API in 42 days. All during buildspace s5. What is the API? Today, it lets you pull financials for 16,000 tickers going back 30+ years. Why did I build the API? Because the big providers have: • poor API design • poor documentation • expensive sales contracts • strict data retention policies How did I build it? I started building the API from scratch at the start of s5 in early June. I got deep into the SEC Edgar API and cracked how to scrape at scale. Sonnet 3.5 from Anthropic was a godsend for this. I hacked early mornings, late nights, and weekends, with a full-time job. Day by day. Code by code. I set weekly goals and hit each one. End result: I’m excited to see where this API goes. It may go nowhere, but I’ll always know that I can set goals and crush them.

I built a stock market API in 42 days. All during buildspace s5. What is the API? Today, it lets you pull financials for 16,000 tickers going back 30+ years. Why did I build the API? Because the big providers have: • poor API design • poor documentation • expensive sales contracts • strict data retention policies How did I build it? I started building the API from scratch at the start of s5 in early June. I got deep into the SEC Edgar API and cracked how to scrape at scale. Sonnet 3.5 from Anthropic was a godsend for this. I hacked early mornings, late nights, and weekends, with a full-time job. Day by day. Code by code. I set weekly goals and hit each one. End result: I’m excited to see where this API goes. It may go nowhere, but I’ll always know that I can set goals and crush them.

Virat Singh

236,512 次观看 • 2 年前

This is a standard practice for almost all Tier-1 banking applications in Nigeria, and for some fintech applications I’ve previously performed pentests on. Client-side encryption isn’t a total waste, or a waste of compute, as some people have claimed, but rather a measure to protect against API tampering or API request/response manipulation between the client and the server when implemented properly. Even with HTTPS, attackers can capture a decrypted version of web or mobile API data in transit because the browser and the server establish a level of trust during the TLS handshake. Attackers can leverage this trust to capture & proxy already-decrypted traffic, tamper with it, and then forward it to the server. This allows them to override what the user interface or client is originally supposed to send and replace it with data of their choosing. That is why validation needs to be performed on both the client and the server side. To wrap up, encrypting API requests and responses makes it significantly harder for attackers to tamper with data, even if they capture the traffic, unless they have access to the encryption details (algorithm, encryption mode, key size, secret key, and initialization vector), assuming asymmetric encryption is used. In the demo below, you can see how I discovered additional parameters (balance, is_admin) in the API response, captured the registration API request, despite it being sent over HTTPS from the interface, added the discovered parameters, and successfully inflated my balance to 50 billion and also escalated my privileges to admin, and ultimately deleted the accounts of two live users/customers. In the second slide, I captured an API traffic of a bank app, and you can see how difficult the payloads are to read.

This is a standard practice for almost all Tier-1 banking applications in Nigeria, and for some fintech applications I’ve previously performed pentests on. Client-side encryption isn’t a total waste, or a waste of compute, as some people have claimed, but rather a measure to protect against API tampering or API request/response manipulation between the client and the server when implemented properly. Even with HTTPS, attackers can capture a decrypted version of web or mobile API data in transit because the browser and the server establish a level of trust during the TLS handshake. Attackers can leverage this trust to capture & proxy already-decrypted traffic, tamper with it, and then forward it to the server. This allows them to override what the user interface or client is originally supposed to send and replace it with data of their choosing. That is why validation needs to be performed on both the client and the server side. To wrap up, encrypting API requests and responses makes it significantly harder for attackers to tamper with data, even if they capture the traffic, unless they have access to the encryption details (algorithm, encryption mode, key size, secret key, and initialization vector), assuming asymmetric encryption is used. In the demo below, you can see how I discovered additional parameters (balance, is_admin) in the API response, captured the registration API request, despite it being sent over HTTPS from the interface, added the discovered parameters, and successfully inflated my balance to 50 billion and also escalated my privileges to admin, and ultimately deleted the accounts of two live users/customers. In the second slide, I captured an API traffic of a bank app, and you can see how difficult the payloads are to read.

Ghost St Badmus

217,252 次观看 • 7 个月前

We knew from day one that unlocking constellation-scale manufacturing would be more than just a hardware challenge. That's why we built Octopus — our proprietary operating system, developed in-house to handle the many complexities of rapidly scaling satellite manufacturing. Octopus provides an end-to-end source of truth, from first customer conversation to orbit, enabling streamlined traceability that ensures speed never comes at the expense of quality. Octopus is built on Palantir's Foundry and AIP platforms, which provide the underlying infrastructure to rapidly prototype and deploy custom applications across the entire company. By building Octopus on Palantir, we have unified scheduling, procurement, receiving, inspection, inventory management, and production into a single integrated workflow — enabling predictable and secure, constellation-scale production. Hear from Apex CEO, Ian Cinnamon, and the rest of the team on how Apex's partnership with Palantir is unlocking rate production at Factory One, and laying the foundation for the next generation of satellite manufacturing.

We knew from day one that unlocking constellation-scale manufacturing would be more than just a hardware challenge. That's why we built Octopus — our proprietary operating system, developed in-house to handle the many complexities of rapidly scaling satellite manufacturing. Octopus provides an end-to-end source of truth, from first customer conversation to orbit, enabling streamlined traceability that ensures speed never comes at the expense of quality. Octopus is built on Palantir's Foundry and AIP platforms, which provide the underlying infrastructure to rapidly prototype and deploy custom applications across the entire company. By building Octopus on Palantir, we have unified scheduling, procurement, receiving, inspection, inventory management, and production into a single integrated workflow — enabling predictable and secure, constellation-scale production. Hear from Apex CEO, Ian Cinnamon, and the rest of the team on how Apex's partnership with Palantir is unlocking rate production at Factory One, and laying the foundation for the next generation of satellite manufacturing.

Apex - Satellite Platforms 🛰

33,843 次观看 • 4 个月前

Introducing Base44 Superagents. AI agents built with managed infrastructure, secured by default, one-click integrations, and 24/7 execution from the start. Everything is taken care of so you can focus on what your agent does, not how to get it running. That means no API keys to juggle, no config files, no security setup, and no maintenance. We handle all of it. Your Superagent connects to all the tools you already use in one click, runs on schedules and triggers, remembers context across sessions, acts proactively on your behalf, and keeps working around the clock. All from wherever you already are, WhatsApp, Telegram, Slack, or your browser. The AI agent everyone's been waiting for, with everything you need already built in. We're excited to get this into your hands, so we're giving free credits to everyone who comments and reposts in the next 24 hours.

Introducing Base44 Superagents. AI agents built with managed infrastructure, secured by default, one-click integrations, and 24/7 execution from the start. Everything is taken care of so you can focus on what your agent does, not how to get it running. That means no API keys to juggle, no config files, no security setup, and no maintenance. We handle all of it. Your Superagent connects to all the tools you already use in one click, runs on schedules and triggers, remembers context across sessions, acts proactively on your behalf, and keeps working around the clock. All from wherever you already are, WhatsApp, Telegram, Slack, or your browser. The AI agent everyone's been waiting for, with everything you need already built in. We're excited to get this into your hands, so we're giving free credits to everyone who comments and reposts in the next 24 hours.

Base44

1,580,624 次观看 • 4 个月前

Possibly the biggest change in Microsoft Teams history? Teams without the Teams? Public preview in November to desktop, mobile, iOS, and Android. Here is what you need to know: 🟣 Microsoft is introducing a new combined chat and channels experience. Meaning chat and teams/channels will show up under the "Chat" sidebar icon. No more dedicated Teams sidebar button. 🟣 Teams and Channels will have their own section in chat. 🟣 Group your chats and/or channels however best works for you with favourites and custom sections (up to 50 sections and 50 items per section) 🟣 “Unread,” “Chat,” “Channels,” “Meetings,” and “Muted” Filters 🟣 New message can initiate a new chat or new channel post 🟣 New Mention view gathers all your mentions into a single interactive list. 🟣 At launch, a self-service, guided onboarding will help users discover the new experience and configure it to their preferences (on or off) 🟣 Users who prefer to keep chat and channels separate can easily do so during the onboarding process or at any time later. So far, it looks like there are no IT/tenant-level override controls. This experience change is targeted at getting more users using teams/channels. Most Teams users live in "chats", not teams/channels. There will undoubtedly be some pushback from users who use teams/channels well and like having the mental separation of teams/channels vs chats. I've been fortunate to be using it for a while, and I'm personally a big fan; my use of the correct channels has gone way up, and now I can find them all in one place in the app, particularly on mobile. I'm now much more likely to see channel conversations I need to see. What do you think? #MicrosoftTeams #Microsoft365

Possibly the biggest change in Microsoft Teams history? Teams without the Teams? Public preview in November to desktop, mobile, iOS, and Android. Here is what you need to know: 🟣 Microsoft is introducing a new combined chat and channels experience. Meaning chat and teams/channels will show up under the "Chat" sidebar icon. No more dedicated Teams sidebar button. 🟣 Teams and Channels will have their own section in chat. 🟣 Group your chats and/or channels however best works for you with favourites and custom sections (up to 50 sections and 50 items per section) 🟣 “Unread,” “Chat,” “Channels,” “Meetings,” and “Muted” Filters 🟣 New message can initiate a new chat or new channel post 🟣 New Mention view gathers all your mentions into a single interactive list. 🟣 At launch, a self-service, guided onboarding will help users discover the new experience and configure it to their preferences (on or off) 🟣 Users who prefer to keep chat and channels separate can easily do so during the onboarding process or at any time later. So far, it looks like there are no IT/tenant-level override controls. This experience change is targeted at getting more users using teams/channels. Most Teams users live in "chats", not teams/channels. There will undoubtedly be some pushback from users who use teams/channels well and like having the mental separation of teams/channels vs chats. I've been fortunate to be using it for a while, and I'm personally a big fan; my use of the correct channels has gone way up, and now I can find them all in one place in the app, particularly on mobile. I'm now much more likely to see channel conversations I need to see. What do you think? #MicrosoftTeams #Microsoft365

Tom Arbuthnot

64,526 次观看 • 1 年前

Mansa AI is an enterprise-grade AI + Web3 platform designed to move artificial intelligence from experimentation into real-world execution. Built for creators, developers, and businesses, it focuses on deploying AI that actually works across modern digital systems, not just in isolated demos. 🚀 Production-ready AI infrastructure Mansa AI enables teams to deploy AI systems designed for live environments, handling real workflows, real data, and real operational demands without constant manual oversight. 🧠 Autonomous AI agents At its core, Mansa AI allows users to build autonomous agents that automate decision-making, coordinate tasks, monitor live signals, and execute complex workflows across dynamic environments. ⚙️ Fully customizable logic Agents can be configured with custom behaviors, triggers, and responses. From content generation and analytics to operational automation and intelligent orchestration, logic adapts to specific business strategies. 🔗 Web3 and off-chain integration Mansa AI bridges blockchain ecosystems with traditional systems, enabling cross-chain coordination, smart contract interactions, and seamless integration with existing enterprise infrastructure. 📊 Real-world use cases The platform supports automation for operations, customer engagement, analytics, data pipelines, content workflows, and AI-driven optimization across products and teams. 📈 Built for scale Whether launching as a startup or deploying across enterprise systems, Mansa AI is designed to scale AI operations without adding complexity or fragmentation. Mansa AI transforms artificial intelligence into deployable infrastructure. By combining autonomy, customization, interoperability, and scalability, it enables teams to own, operate, and grow intelligent systems that deliver real value in production environments.

Mansa AI is an enterprise-grade AI + Web3 platform designed to move artificial intelligence from experimentation into real-world execution. Built for creators, developers, and businesses, it focuses on deploying AI that actually works across modern digital systems, not just in isolated demos. 🚀 Production-ready AI infrastructure Mansa AI enables teams to deploy AI systems designed for live environments, handling real workflows, real data, and real operational demands without constant manual oversight. 🧠 Autonomous AI agents At its core, Mansa AI allows users to build autonomous agents that automate decision-making, coordinate tasks, monitor live signals, and execute complex workflows across dynamic environments. ⚙️ Fully customizable logic Agents can be configured with custom behaviors, triggers, and responses. From content generation and analytics to operational automation and intelligent orchestration, logic adapts to specific business strategies. 🔗 Web3 and off-chain integration Mansa AI bridges blockchain ecosystems with traditional systems, enabling cross-chain coordination, smart contract interactions, and seamless integration with existing enterprise infrastructure. 📊 Real-world use cases The platform supports automation for operations, customer engagement, analytics, data pipelines, content workflows, and AI-driven optimization across products and teams. 📈 Built for scale Whether launching as a startup or deploying across enterprise systems, Mansa AI is designed to scale AI operations without adding complexity or fragmentation. Mansa AI transforms artificial intelligence into deployable infrastructure. By combining autonomy, customization, interoperability, and scalability, it enables teams to own, operate, and grow intelligent systems that deliver real value in production environments.

King

155,637 次观看 • 7 个月前

Every marketing leader I talk to is facing the same challenge: Scale 📶 The demand for content has exploded, but the systems behind it haven’t kept up. Teams are expected to launch more campaigns, in more markets, with more data, all while maintaining brand integrity and speed. Chat-based AI tools help individuals move faster. But they don’t solve the harder problem: scaling content creation across markets and audiences. Over the past year, we’ve seen the limits of chat-based AI inside large organizations. 📢 Today, we’re introducing ⊞ Jasper Grid ⊞ — the backbone of Content Pipelines. ⊞ Grid is a unified, no-code system that lets AI agents plan, produce, and optimize content at scale. It transforms structured inputs like briefs, data, and brand guidelines into launch-ready assets with speed and precision. Under the hood, Grid runs on a network of modular AI agents, a resilient scheduler, and deep integrations with the tools marketers already use — all governed by brand guardrails so teams can move fast without losing control. 🏆 The result: faster time to market, consistent brand execution, and true operational scale. AI is becoming infrastructure. The next generation of enterprise marketing will run on systems built for speed, precision, and trust. Proud of the Jasper team and our early customers who helped shape this moment.

Timothy Young

1,307,286 次观看 • 8 个月前

I just vibe-coded a Meta Ads Bulk Uploader in Claude Code that uploads dozens of Facebook and Instagram ads in minutes 🤯 Drag and drop your creatives, connect your live Meta account, publish directly through the Marketing API. Built 100% in Claude Code. Perfect for media buyers and DTC brands who are still uploading ads one at a time in Ads Manager. If you're a media buyer spending 10+ hours a week uploading ads one at a time in Ads Manager — attaching videos, picking thumbnails, naming ads, toggling enhancements, repeating 50 times ... This eliminates the entire workflow: → Drag and drop dozens of images/videos at once → Add multiple primary texts, headlines, and descriptions per batch → Pick your campaign and ad set directly from your live Meta account → Clone existing ad sets with one click → Upload custom thumbnails, pick your CTA, launch paused or active No uploading ads one by one. No 2-3 hours of clicking. No $99/month SaaS subscription. What this tool does: → A bulk uploader that publishes directly through Meta's Marketing API → Full creative control — thumbnails, CTAs, ad names, enhancements — all in one shot → Ad set cloning so you can scale winning setups instantly → A free alternative to the $99/month tools that do the exact same thing I'm giving away every prompt I used to build it so you can vibe-code the whole thing yourself. Want all the prompts? > Like this post > Comment "BULK" And I'll send it over (must be following so I can DM)

I just vibe-coded a Meta Ads Bulk Uploader in Claude Code that uploads dozens of Facebook and Instagram ads in minutes 🤯 Drag and drop your creatives, connect your live Meta account, publish directly through the Marketing API. Built 100% in Claude Code. Perfect for media buyers and DTC brands who are still uploading ads one at a time in Ads Manager. If you're a media buyer spending 10+ hours a week uploading ads one at a time in Ads Manager — attaching videos, picking thumbnails, naming ads, toggling enhancements, repeating 50 times ... This eliminates the entire workflow: → Drag and drop dozens of images/videos at once → Add multiple primary texts, headlines, and descriptions per batch → Pick your campaign and ad set directly from your live Meta account → Clone existing ad sets with one click → Upload custom thumbnails, pick your CTA, launch paused or active No uploading ads one by one. No 2-3 hours of clicking. No $99/month SaaS subscription. What this tool does: → A bulk uploader that publishes directly through Meta's Marketing API → Full creative control — thumbnails, CTAs, ad names, enhancements — all in one shot → Ad set cloning so you can scale winning setups instantly → A free alternative to the $99/month tools that do the exact same thing I'm giving away every prompt I used to build it so you can vibe-code the whole thing yourself. Want all the prompts? > Like this post > Comment "BULK" And I'll send it over (must be following so I can DM)

Mike Futia

42,669 次观看 • 4 个月前

NVIDIA JUST SHOWED HOW A $4,699 BOX CAN KILL A $200 MONTHLY AI BILL AND RUN 200B MODELS FROM YOUR DESK. 00:02 NVIDIA delivers the DGX Spark to developers, researchers, and AI teams, turning what used to require rented datacenter GPUs into a box small enough to hold in one hand. inside is 128GB of unified memory, 4TB of storage, and up to 1 PFLOP of AI compute, enough to run 70B models comfortably and push into the 200B class locally. that means no per-token API bill, no files leaving your machine, and no waiting for someone else’s server every time an agent reads documents, writes code, or runs an automation. two DGX Sparks can even be linked together for models around 400B parameters, while a single unit costs roughly $4,000 to $4,700 instead of renting multi-GPU cloud infrastructure every month. the full local AI ladder starts at $0 with the computer you already own, but NVIDIA just showed what the final rung looks like: a personal AI supercomputer sitting directly on your desk.

NVIDIA JUST SHOWED HOW A $4,699 BOX CAN KILL A $200 MONTHLY AI BILL AND RUN 200B MODELS FROM YOUR DESK. 00:02 NVIDIA delivers the DGX Spark to developers, researchers, and AI teams, turning what used to require rented datacenter GPUs into a box small enough to hold in one hand. inside is 128GB of unified memory, 4TB of storage, and up to 1 PFLOP of AI compute, enough to run 70B models comfortably and push into the 200B class locally. that means no per-token API bill, no files leaving your machine, and no waiting for someone else’s server every time an agent reads documents, writes code, or runs an automation. two DGX Sparks can even be linked together for models around 400B parameters, while a single unit costs roughly $4,000 to $4,700 instead of renting multi-GPU cloud infrastructure every month. the full local AI ladder starts at $0 with the computer you already own, but NVIDIA just showed what the final rung looks like: a personal AI supercomputer sitting directly on your desk.

Gipp 🦅

11,334 次观看 • 9 天前

JENSEN HUANG TOLD STANFORD THAT CLOUD AI WILL NEED 1,000 TIMES MORE ENERGY. THE $249 BOX HE BUILT FOR YOUR DESK USES 25 WATTS AND REPLACES A $200/MONTH AI STACK someone posted a 26 year old imac in airplane mode running a modern ai model with no internet. 1.7 million views in 24 hours. the same thing runs on a $249 box from nvidia the jetson orin nano super pulls 7-25 watts and does 67 trillion ai operations per second. llama 3, mistral and deepseek run locally with no api fees and no data leaving your machine most developers pay $2,400 a year across chatgpt, openai api, claude pro and cursor. the jetson costs $314 in year one and $60 a year after. 2 year savings hit $4,431 install ollama with one command, change one line of code to point at localhost, and every tool built for openai works identically. zero rewrites, zero rate limits cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who own the box in 2026 are going to look very far ahead in 2028 bookmark this and read the article below

JENSEN HUANG TOLD STANFORD THAT CLOUD AI WILL NEED 1,000 TIMES MORE ENERGY. THE $249 BOX HE BUILT FOR YOUR DESK USES 25 WATTS AND REPLACES A $200/MONTH AI STACK someone posted a 26 year old imac in airplane mode running a modern ai model with no internet. 1.7 million views in 24 hours. the same thing runs on a $249 box from nvidia the jetson orin nano super pulls 7-25 watts and does 67 trillion ai operations per second. llama 3, mistral and deepseek run locally with no api fees and no data leaving your machine most developers pay $2,400 a year across chatgpt, openai api, claude pro and cursor. the jetson costs $314 in year one and $60 a year after. 2 year savings hit $4,431 install ollama with one command, change one line of code to point at localhost, and every tool built for openai works identically. zero rewrites, zero rate limits cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who own the box in 2026 are going to look very far ahead in 2028 bookmark this and read the article below

starmex

15,822 次观看 • 1 个月前

San Francisco is seeing record-low numbers of tents and large vehicles on our streets—and we’re continuing to make progress helping people get off the streets and into stability. We’re now at the lowest level of unsheltered homelessness in 15 years and we have opened the RESET Center, a new tool that allows us to enforce the law while giving people struggling with addiction an alternative to jail and a path to treatment. After one month, the RESET Center has seen more than 500 admissions, with nearly one-third accepting care and treatment. It’s also helping officers get back on the street in under 20 minutes instead of spending hours on the jail booking process. This progress is the result of relentless work by outreach teams, law enforcement officers, and healthcare workers who are helping connect people to services while keeping public spaces safe and clean. We still have more work to do. As we continue reducing tents and large vehicles on our streets, we’ll keep investing in solutions that help people in crisis get the support they need—and make clear that open-air drug use and dealing have no place in San Francisco

San Francisco is seeing record-low numbers of tents and large vehicles on our streets—and we’re continuing to make progress helping people get off the streets and into stability. We’re now at the lowest level of unsheltered homelessness in 15 years and we have opened the RESET Center, a new tool that allows us to enforce the law while giving people struggling with addiction an alternative to jail and a path to treatment. After one month, the RESET Center has seen more than 500 admissions, with nearly one-third accepting care and treatment. It’s also helping officers get back on the street in under 20 minutes instead of spending hours on the jail booking process. This progress is the result of relentless work by outreach teams, law enforcement officers, and healthcare workers who are helping connect people to services while keeping public spaces safe and clean. We still have more work to do. As we continue reducing tents and large vehicles on our streets, we’ll keep investing in solutions that help people in crisis get the support they need—and make clear that open-air drug use and dealing have no place in San Francisco

Daniel Lurie 丹尼爾·羅偉

17,178 次观看 • 1 个月前

HERMES JUST GOT A CHATGPT INTERFACE AND IT IS COMPLETELY FREE. No terminal. No command line. No technical setup that takes half a day to figure out. Here is what just became possible. You can now run Hermes, DeepSeek, Ollama, and OpenClaw from a single clean chat interface. Switch between them in one click. Upload files directly. Attach knowledge bases and notes. Preview code without touching the terminal once. Use it on mobile. Make voice and video calls. All of it. Free. Open source. The setup took one conversation with Hermes itself. Pasted the GitHub link in. Hermes installed Open Web UI in Docker on its own. Connected the API server and gateway automatically. A clean ChatGPT-level interface running entirely on local hardware was live in minutes. No subscription. No data leaving your machine. No API bill at the end of the month. The people who set this up this weekend will have a local AI stack that rivals what most companies are paying $2,000 a month for in cloud infrastructure. The people who wait will keep paying for tools that send their data somewhere they cannot see. Both tools are free. Both are open source. The only thing between you and this setup is the next 30 minutes. Follow CyrilXBT for the exact config, setup steps, and local AI workflows I use to run a full stack without spending a dollar on cloud inference.

HERMES JUST GOT A CHATGPT INTERFACE AND IT IS COMPLETELY FREE. No terminal. No command line. No technical setup that takes half a day to figure out. Here is what just became possible. You can now run Hermes, DeepSeek, Ollama, and OpenClaw from a single clean chat interface. Switch between them in one click. Upload files directly. Attach knowledge bases and notes. Preview code without touching the terminal once. Use it on mobile. Make voice and video calls. All of it. Free. Open source. The setup took one conversation with Hermes itself. Pasted the GitHub link in. Hermes installed Open Web UI in Docker on its own. Connected the API server and gateway automatically. A clean ChatGPT-level interface running entirely on local hardware was live in minutes. No subscription. No data leaving your machine. No API bill at the end of the month. The people who set this up this weekend will have a local AI stack that rivals what most companies are paying $2,000 a month for in cloud infrastructure. The people who wait will keep paying for tools that send their data somewhere they cannot see. Both tools are free. Both are open source. The only thing between you and this setup is the next 30 minutes. Follow CyrilXBT for the exact config, setup steps, and local AI workflows I use to run a full stack without spending a dollar on cloud inference.

CyrilXBT

37,120 次观看 • 2 个月前

Really proud to announce that LI.FI Earn is now live - a product I’ve been building with the team for months. There’s a clear demand for onchain yield strategies. And an even clearer need for a solution that unlocks access to all of them through a single integration - with cross-chain execution. That’s the promise of LI.FI Earn. Just three API calls to ship your Earn product: discover curated vaults with APY, execute deposits in one transaction, track users’ returns, and more. Here’s a quick demo showing how and why you can integrate an Earn feature into any wallet, app, or fintech platform with LI.FI Earn

Really proud to announce that LI.FI Earn is now live - a product I’ve been building with the team for months. There’s a clear demand for onchain yield strategies. And an even clearer need for a solution that unlocks access to all of them through a single integration - with cross-chain execution. That’s the promise of LI.FI Earn. Just three API calls to ship your Earn product: discover curated vaults with APY, execute deposits in one transaction, track users’ returns, and more. Here’s a quick demo showing how and why you can integrate an Earn feature into any wallet, app, or fintech platform with LI.FI Earn

ale

11,078 次观看 • 3 个月前

FREE DeepSeek V4 Pro and V4 Flash API. Runtime by Bad Theory Labs just dropped it. Same platform, new free model, same 2-minute setup. > Runtime already gave you free Claude Opus 4.8 and GPT 5.5 access. Now they added DeepSeek V4 Pro and V4 Flash to the free tier. Absolutely FREE, YES. Same exact flow as before: → Go to runtime(.)badtheorylabs(.)com → Sign up with Google → Fill in your details during onboarding → Free balance lands automatically(But you don't need it to use DeepSeek - it's completely free right now) → Grab your API key from the dashboard → Plug into OpenCode, OpenClaw, or Hermes - done DeepSeek V4 Pro is one of the strongest coding and reasoning models available right now. Free tier also includes btl-2 - auto-routes between GLM, OpenAI, Anthropic, and Gemma. 10 million tokens per month at zero cost. 344 models total. One OpenAI-compatible endpoint. No code rebuild, no card, no limits hunting. >> Just start using the API, and when choosing a provider, select DeepSeek I tested it myself - fully working. Bookmark this before the free tier fills up.

FREE DeepSeek V4 Pro and V4 Flash API. Runtime by Bad Theory Labs just dropped it. Same platform, new free model, same 2-minute setup. > Runtime already gave you free Claude Opus 4.8 and GPT 5.5 access. Now they added DeepSeek V4 Pro and V4 Flash to the free tier. Absolutely FREE, YES. Same exact flow as before: → Go to runtime(.)badtheorylabs(.)com → Sign up with Google → Fill in your details during onboarding → Free balance lands automatically(But you don't need it to use DeepSeek - it's completely free right now) → Grab your API key from the dashboard → Plug into OpenCode, OpenClaw, or Hermes - done DeepSeek V4 Pro is one of the strongest coding and reasoning models available right now. Free tier also includes btl-2 - auto-routes between GLM, OpenAI, Anthropic, and Gemma. 10 million tokens per month at zero cost. 344 models total. One OpenAI-compatible endpoint. No code rebuild, no card, no limits hunting. >> Just start using the API, and when choosing a provider, select DeepSeek I tested it myself - fully working. Bookmark this before the free tier fills up.

Atenov int.

26,920 次观看 • 1 个月前

AI is making marketers lazy. So we made the website do the work instead. Today, we're launching Ploy: the all-in-one marketing platform that turns your website into your hardest working employee. And we're coming out of stealth today with a $27M seed led by Y Combinator and First Round. I spent 12 years at Webflow as the founding CTO where I built the product, but also started our marketing and sales teams that drove our fastest periods of growth. That experience made one thing obvious: the website is the center of your business. And it's only more important in the age of AI. Foundation model apps can generate assets. Point solutions can optimize pieces of the funnel. But nothing runs the whole growth system: your site, brand, CMS, CRM, campaigns, analytics, SEO, AEO, and customer data all working together. Until now. Teams at HexTech and C, and growth agencies like Tonik and TNT Growth, are already powering sites on Ploy. Hex is generating on-brand ABM pages at scale, Clay is using its data to power a programmatic SEO engine, and TNT Growth is spinning up a landing page for each of their clients’ ads. Wake up every morning with a report from Ploy - with what it did, and what it wants to do next. Approve it. Ship it. Or be lazy and just watch it cook.

brryant

1,016,836 次观看 • 1 个月前

Sub-1 hour? Chasing the human half-marathon record? That’s suddenly the conversation around Beijing’s humanoid robot race this Sunday. 🏃‍♂️🤖 A year ago, this event was mostly about finishing. Now the bar is speed, stability, and full-course autonomy. More than 100 teams and 300+ humanoid robots are expected on the line, and nearly 40% of them are entering the autonomous navigation group instead of relying on remote control. The course is not getting easier either. Same 21.0975 km, but with more urban slopes, rolling sections, and park terrain built to expose weak points in control, perception, and endurance. That is what makes this race worth watching. If some of these machines really get close to one hour, the story is no longer “robots can run.” It becomes “humanoids are starting to hold speed, balance, and navigation together over real distance.” And that matters far beyond a race course. This is one of the clearest public tests yet for where humanoid robotics actually stands in hardware, motion control, power systems, and autonomous mobility. Sunday’s headline will be the time. The bigger takeaway will be how much of that pace is still there at kilometer 15, 18, and 21. I want to see who is actually fast, who is truly autonomous, and who can finish without falling apart. That is where the real signal will be.

Sub-1 hour? Chasing the human half-marathon record? That’s suddenly the conversation around Beijing’s humanoid robot race this Sunday. 🏃‍♂️🤖 A year ago, this event was mostly about finishing. Now the bar is speed, stability, and full-course autonomy. More than 100 teams and 300+ humanoid robots are expected on the line, and nearly 40% of them are entering the autonomous navigation group instead of relying on remote control. The course is not getting easier either. Same 21.0975 km, but with more urban slopes, rolling sections, and park terrain built to expose weak points in control, perception, and endurance. That is what makes this race worth watching. If some of these machines really get close to one hour, the story is no longer “robots can run.” It becomes “humanoids are starting to hold speed, balance, and navigation together over real distance.” And that matters far beyond a race course. This is one of the clearest public tests yet for where humanoid robotics actually stands in hardware, motion control, power systems, and autonomous mobility. Sunday’s headline will be the time. The bigger takeaway will be how much of that pace is still there at kilometer 15, 18, and 21. I want to see who is actually fast, who is truly autonomous, and who can finish without falling apart. That is where the real signal will be.

RoboHub🤖

209,428 次观看 • 3 个月前

We just raised $30M at a $500M valuation, bringing our total funding to $47M. Led by Craft Ventures , with Pace Capital , Chemistry , TruArrow, and others. But before anything else: this belongs to the community. ComfyUI started as one developer and one open-source repo. No roadmap. No company. Just creators who wanted real control over how they built with AI. That community is now: → 4 million users → 60,000+ community-built nodes → 150,000+ daily downloads Every number traces back to people who built in the open, for anyone to use. Here's where the funding goes: → Comfy Cloud: for teams and studios that need security and scale → Collaborative workflows: versioning and iteration built for how studios actually work → A better local experience: more seamless, more stable → Ecosystem reliability: making 60,000+ community nodes more dependable → Day-one model support: every major release, compatible at launch We are not building a walled garden. We are building open infrastructure, built to last. Thank you genuinely, The ComfyUI Team

We just raised $30M at a $500M valuation, bringing our total funding to $47M. Led by Craft Ventures , with Pace Capital , Chemistry , TruArrow, and others. But before anything else: this belongs to the community. ComfyUI started as one developer and one open-source repo. No roadmap. No company. Just creators who wanted real control over how they built with AI. That community is now: → 4 million users → 60,000+ community-built nodes → 150,000+ daily downloads Every number traces back to people who built in the open, for anyone to use. Here's where the funding goes: → Comfy Cloud: for teams and studios that need security and scale → Collaborative workflows: versioning and iteration built for how studios actually work → A better local experience: more seamless, more stable → Ecosystem reliability: making 60,000+ community nodes more dependable → Day-one model support: every major release, compatible at launch We are not building a walled garden. We are building open infrastructure, built to last. Thank you genuinely, The ComfyUI Team

ComfyUI

961,362 次观看 • 3 个月前