Conveniently, these so-called right-to-compute laws are emerging just as some of the world's biggest corporations race to build massive new data centers. Montana became the first state to pass such a law back in April. But as the AI and enterprise news outlet VKTR has pointed out, lawmakers in other states are also considering similar bills, including in New Hampshire, Ohio, and South Dakota. Meanwhile, a similar measure in Idaho failed to move beyond the committee stage. “Government actions that restrict the ability to privately own or make use of computational resources for lawful purposes, which infringes on citizens' fundamental rights to property and free expression, must be limited to those demonstrably necessary and narrowly tailored to fulfill a compelling government interest,” the Montana law reads. Like right-to-work laws that frame themselves as protecting individual freedom, critics warn that right-to-compute statutes could, in practice, primarily benefit large corporations by limiting the ability of states and local governments to regulate AI projects. The Montana law is also nearly identical to model legislation drafted by the American Legislative Exchange Council, meaning it could easily be replicated by lawmakers elsewhere. “I would hope it would encourage other states to run with it to counter the fear-based narratives,” said Adam Thierer, a senior fellow at the R Street Institute, in online commentary. These laws are popping up as companies like Meta, Microsoft, Amazon, and OpenAI pour billions into AI infrastructure across the U.S. Meta has even launched advertising campaigns in state capitols, including in Iowa, California, Utah, and Florida, pitching data center projects as job creators, the New York Times reported. At the federal level, President Donald Trump, an AI and business ally, signed an executive order in December aimed at curbing what his administration describes as overly burdensome state regulations in the name of national and economic security. Nearly 40 states have passed or are considering laws limiting how businesses use AI, VKTR reported, citing the National Conference of State Legislatures. In a newly filed FCC application, Musk's SpaceX outlines plans to launch a data center constellation of up to 1 million satellites. Is Apple getting ready for its big AI push? Radars and cameras might be for seeing cars and people now but they can be used to make existing roads better in the first place. How many award-winning writers are desperate enough to train Grok?
Amazon is laying off 2,198 employees across Washington as part of the company's latest corporate workforce reduction, according to a new filing released Monday by the state Employment Security Department. In total, more than half of the cuts impact Amazon's core product and engineering organizations. The remaining positions span business intelligence, sales, marketing, infrastructure, QA, HR, design, and other support functions. A majority of the cuts — more than 1,400 — impact workers in Seattle, with more than 600 in nearby Bellevue, where Amazon has been expanding its office footprint. The cuts are part of Amazon's company-wide layoffs announced last week that impact 16,000 corporate employees globally. As part of the October cuts, Amazon laid off 2,303 employees in Washington state. Corporate support and commercial functions were hit harder in that round, which included engineering roles but also targeted legal, tax, and ad sales positions that are largely absent from the new list released Monday. The company has made several additional, smaller workforce reductions in recent years as it seeks to streamline operations. In a memo to employees sent Wednesday, Amazon senior vice president of people experience and technology Beth Galetti said the company is “reducing layers, increasing ownership, and removing bureaucracy.” The list includes a significant number of “Manager III” and “Senior Manager” roles within software and product teams, suggesting Amazon is axing layers of oversight, not just reducing individual contributor headcount. Amazon noted in the filing that employees who secure internal transfers before their separation dates will not ultimately be laid off. Amazon employs roughly 50,000 corporate workers in the Seattle region, which serves as its primary headquarters. The latest cuts come amid concerns about Seattle's tech-heavy economy as other companies trim headcount. Many corporations are slashing headcount to address pandemic-fueled corporate “bloat” while juggling economic uncertainty and impact from AI tools. Jon Scholes, president of the Downtown Seattle Association, said in a statement last week that a “workforce change of this scale has ripple effects on the community.” The broader layoffs may also impact Seattle's commercial real estate market, which continues to struggle with record-high vacancy rates. The chips powering your smart TV, voice assistant, tablet, and car all have something in common: MediaTek Click for more about underwritten and sponsored content on GeekWire. Click for more about underwritten and sponsored content on GeekWire. Amazon confirms 16,000 more corporate job cuts, bringing total to 30,000 since October Latest Microsoft layoffs target engineering, product and legal roles, records show Filing: Meta's AI layoffs hit Washington offices in Bellevue, Seattle, Redmond
T-Mobile is laying off 393 workers in Washington as part of a new round of cuts, according to a filing with the state Employment Security Department released Monday morning. More than 200 different job titles are impacted, according to the filing, including analysts, engineers and technicians, as well as directors and managers. “These facilities are not being closed,” the notice stated. “The layoffs are not due to relocation or contracting out employer operations or employee positions, but it is possible that some work currently done by these employees may at some point be done by others.” Affected employees were given 60-days' notice and the departures are expected to take effect April 2. The cuts come as the Seattle area is being hit by thousands of tech-related layoffs, including job losses at Amazon, Expedia, Meta and other companies. T-Mobile, the largest U.S. telecom company by market capitalization, laid off 121 workers in August 2025. In November, former Chief Operating Officer Srini Gopalan replaced longtime leader Mike Sievert as CEO. T-Mobile's stock is down nearly 20% over the past 12 months. Microsoft makes additional job cuts, laying off more than 300 in Washington state F5 laying off 106 employees in Washington state as part of changes to product org
Launched last fall, Search Party uses AI to find possible matches for lost dogs across neighbors' camera footage. If a match is found, that camera owner receives an alert and can optionally choose to share any related video clips with their neighbor who reported the pet missing. They'll also have an option to call the owner or send them a message, without sharing their own phone number. Ring says the feature has been reuniting more than a dog per day since its launch. Previously, Search Party was only available to customers with a Ring camera installed. “Now, pet owners can mobilize the whole community—and communities are empowered to help—to find lost pets more effectively than ever before,” noted Ring founder Jamie Siminoff, in an announcement. Alongside the launch and expansion, Amazon-owned Ring said it's committing $1 million to equip animal shelters with Ring camera systems, and aims to aid 4,000 U.S. shelters. Hear from 250+ tech leaders, dive into 200+ sessions, and explore 300+ startups building what's next. Nvidia CEO pushes back against report that his company's $100B OpenAI investment has stalled Waymo robotaxi hits a child near an elementary school in Santa Monica Everything you need to know about viral personal AI assistant Clawdbot (now Moltbot)
Seattle-based Carbon Robotics, which builds the LaserWeeder — a robot fleet that uses lasers to kill weeds — announced a new AI model, the Large Plant Model (LPM), on Monday. Paul Mikesell, the founder and CEO of Carbon Robotics, told TechCrunch that prior to LPM, every time a new type of weed would show up on a farm — or even the same type of weed in different soil or with a slightly different appearance — the company would have to create new data labels to retrain its machines to recognize the plant. This process took about 24 hours each time, Mikesell said. “The farmer can live in real time and say, ‘Hey, this is a new weed. “There's no new labeling or retraining because the Large Plant Model understands, at a much deeper level, what it's looking at and the type of plant.” Mikesell has years of experience building these types of neural networks from previous roles at Uber and working on Meta's Oculus virtual reality headsets. This new model will reach the company's existing systems through a software update. “We have over 150 million labeled plants now in our training set,” Mikesell said. “We have enough data now that we should be able to look at any picture and decide what kind of plant that is, what species it is, what it's related to, what its structure is like, without having ever even seen that particular plant before, because we have so much data going into the neural net.” Becca is a senior writer at TechCrunch that covers venture capital trends and startups. You can contact or verify outreach from Becca by emailing rebecca.szkutak@techcrunch.com. Hear from 250+ tech leaders, dive into 200+ sessions, and explore 300+ startups building what's next. Nvidia CEO pushes back against report that his company's $100B OpenAI investment has stalled OpenClaw's AI assistants are now building their own social network Waymo robotaxi hits a child near an elementary school in Santa Monica Everything you need to know about viral personal AI assistant Clawdbot (now Moltbot)
The open letter, shared exclusively with TechCrunch, follows a slew of concerning behavior from the large language model over the past year, including most recently a trend of X users asking Grok to turn photos of real women, and in some cases children, into sexualized images without their consent. According to some reports, Grok generated thousands of nonconsensual explicit images every hour, which were then disseminated at scale on X, Musk's social media platform that's owned by xAI. “It is deeply concerning that the federal government would continue to deploy an AI product with system-level failures resulting in generation of nonconsensual sexual imagery and child sexual abuse material,” the letter, signed by advocacy groups like Public Citizen, Center for AI and Digital Policy, and Consumer Federation of America, reads. Two months before, xAI — alongside Anthropic, Google, and OpenAI — secured a contract worth up to $200 million with the Department of Defense. Amid the scandals on X in mid-January, Defense Secretary Pete Hegseth said Grok will join Google's Gemini in operating inside the Pentagon network, handling both classified and unclassified documents, which experts say is a national security risk. “Our primary concern is that Grok has pretty consistently shown to be an unsafe large language model,” JB Branch, a Public Citizen Big Tech accountability advocate and one of the letter's authors, told TechCrunch. One could argue that, based on the findings of the report — including Grok's propensity to offer unsafe advice, share information about drugs, generate violent and sexual imagery, spew conspiracy theories, and generate biased outputs — Grok isn't all that safe for adults either. “If you know that a large language model is or has been declared unsafe by AI safety experts, why in the world would you want that handling the most sensitive data we have?” Branch said. “From a national security standpoint, that just makes absolutely no sense.” “Closed code means you can't inspect the software or control where it runs. The risks of using corrupted or unsafe AI systems spill out beyond national security use cases. Branch pointed out that an LLM that's been shown to have biased and discriminatory outputs could produce disproportionate negative outcomes for people as well, especially if used in departments involving housing, labor, or justice. While the OMB has yet to publish its consolidated 2025 federal AI use case inventory, TechCrunch has reviewed the use cases of several agencies — most of which are either not using Grok or are not disclosing their use of Grok. “Grok's brand is being the ‘anti-woke large language model,' and that ascribes to this administration's philosophy,” Branch said. “If you have an administration that has had multiple issues with folks who've been accused of being Neo Nazis or white supremacists, and then they're using a large language model that has been tied to that type of behavior, I would imagine they might have a propensity to use it.” This is the coalition's third letter after writing with similar concerns in August and October last year. TechCrunch also reported in August that private Grok conversations had been indexed by Google Search. Prior to the October letter, Grok was accused of providing election misinformation, including false deadlines for ballot changes and political deepfakes. xAI also launched Grokipedia, which researchers found to be legitimizing scientific racism, HIV/AIDS skepticism, and vaccine conspiracies. “The administration needs to take a pause and reassess whether or not Grok meets those thresholds,” Branch said. TechCrunch has reached out to xAI and OMB for comment. Rebecca Bellan is a senior reporter at TechCrunch where she covers the business, policy, and emerging trends shaping artificial intelligence. Hear from 250+ tech leaders, dive into 200+ sessions, and explore 300+ startups building what's next. Nvidia CEO pushes back against report that his company's $100B OpenAI investment has stalled OpenClaw's AI assistants are now building their own social network Waymo robotaxi hits a child near an elementary school in Santa Monica Everything you need to know about viral personal AI assistant Clawdbot (now Moltbot)
When you purchase through links on our site, we may earn an affiliate commission. The Asus ROG Xbox Ally X, Microsoft's first Xbox-branded gaming handheld, comes with 24GB of LPDDR5X memory, which is more than adequate for most use cases in this category. However, for users who want more headroom or plan to use the handheld as a hybrid portable desktop replacement, SlickBuys Mods and Repairs has successfully upgraded the system to a massive 64GB of RAM. This is the same modder who previously demonstrated their skills on the original ROG Ally by upgrading its memory from 16GB to 32GB. After gaining full access to the motherboard, the modder begins preparing the new memory modules by desoldering them from a custom PCB they were shipped with and reballing each memory chip. The stock 24GB memory modules are then removed from the ROG Xbox Ally X motherboard with a heat gun, along with any solder residue. The original BIOS chip is removed, and the APCB file is edited with a bunch of values using a CH341A USB programmer. The BIOS chip is then soldered back onto the motherboard, followed by moving two strap resistors to ensure that the newly installed memory chips run at their maximum clock speeds. Considering the $300 32GB memory upgrade previously done on the original ROG Ally, along with today's highly volatile DRAM market, we wouldn't be surprised if it is upwards of $500, which is almost half the cost of the gaming handheld. While this mod is exciting, it's important to note that upgrading soldered memory is not easy, even if it may look straightforward. Follow Tom's Hardware on Google News, or add us as a preferred source, to get our latest news, analysis, & reviews in your feeds. Get Tom's Hardware's best news and in-depth reviews, straight to your inbox. Kunal Khullar is a contributing writer at Tom's Hardware. Tom's Hardware is part of Future US Inc, an international media group and leading digital publisher. © Future US, Inc. Full 7th Floor, 130 West 42nd Street, New York,
US officials claim such security measures are common for the Games and stressed that Italy would be in charge of security. Still, following the recent shooting deaths of Alex Pretti and Renee Nicole Good at the hands of US immigration agents, Italians were upset over ICE's presence. Milan's mayor, Giuseppe Sala, went so far as to tell a local radio station that agents were “not welcome” in the city. Italy's interior minister, Matteo Piantedosi, claimed he knew nothing about ICE's presence in Milan but stressed that he saw nothing wrong with it. Prime Minister Giorgia Meloni, a frequent Trump ally, has thus far remained silent. ICE won't be working with Italian law enforcement, which has promised to have more than 6,000 personnel at the events, but will instead be working to protect the US contingent, which includes Vice President JD Vance and Secretary of State Marco Rubio. Put another way, they're likely to be suit-and-tie ICE operatives, not agents in masks and military gear. On January 27, a cargo plane with more than a hundred Qatari public security officers, 20 camouflage SUVs, and three snowmobiles landed at Milan's Malpensa Airport. Following their arrival, the SUVs made their way to the city center, driving past Piazza Duomo and San Siro, where the opening ceremony will be held on Friday. Qatar has no athletes competing in the Winter Games. The security force has been tasked with “monitoring locations, providing rapid response capabilities, and supporting preventive measures against potential security risks,” but the arrangement has proven controversial given that they have often been accused of abuse, specifically against the LGBTQ+ community. This story originally appeared in WIRED Italia. In your inbox: WIRED's most ambitious, future-defining stories Big Story: China's renewable energy revolution might save the world Watch our livestream replay: Welcome to the Chinese century WIRED may earn a portion of sales from products that are purchased through our site as part of our Affiliate Partnerships with retailers. The material on this site may not be reproduced, distributed, transmitted, cached or otherwise used, except with the prior written permission of Condé Nast.
“Resist and Unsubscribe” is a month-long economic strike focusing for the most part on tech and AI companies, aka “where economic and political power is most concentrated,” according to NYU Stern marketing professor Scott Galloway, who is spearheading the movement. Those companies are Amazon, Apple, Google, Microsoft, Paramount+, Uber, Netflix, X, Meta, and OpenAI. “America's economy is one giant bet on AI, with seven tech companies representing more than a third of the S&P 500. That means the best way to ignite positive change, without hurting consumers, is to carry out an economic strike the tech CEOs can't ignore,” Galloway wrote in a blog post. Silicon Valley interests have held a sizable presence in Trump's approach to trade and regulation. One of his few instances of walking back threats in his grand attack on anti-ICE protesters was his decision to refrain from increasing the federal force in San Francisco, which he said he changed his mind on after talking to tech executives like Nvidia CEO Jensen Huang and Salesforce CEO Marc Benioff. Back in October, Apple removed an app that allows users to track ICE activity because Attorney General Pam Bondi asked them to, and Palantir has built a $30 million surveillance platform for the agency. Tech workers are also aware of this influence, and many have signed a letter asking company executives to speak out publicly, end all contracts with ICE, and demand that the White House end the crackdown. After the letter was released, Apple CEO Tim Cook told employees that he had brought the matter up in a conversation with Trump. As part of the new boycott, protesters are spending all of February unsubscribed from paid services offered by these 10 major tech companies, such as Amazon Prime, Uber One, ChatGPT Plus, Microsoft Office, or YouTube Premium. The organizers are also asking people to refrain from buying Apple hardware products until March and to delete Meta platforms like WhatsApp and Facebook. They will, however, continue using Instagram as a way to spread the message, but ask boycotters to refrain from clicking on any ads and shopping from any links you may encounter on the platform. The strike will also be targeting nine consumer-facing companies that they claim are “active enablers of ICE”: AT&T, Comcast, Charter Communications, Dell, FedEx, UPS, Home Depot, Lowe's, Spotify, and Marriott. AT&T, Xfinity provider Comcast, and computer maker Dell's government contracting arm have all signed contracts with ICE to offer their services to the agency. A 404 Media report from August claimed that both Home Depot and Lowe's share access to data from their AI-powered license plate readers with law enforcement surveillance systems that ICE can use, but Home Depot has since denied that claim. Spotify was under fire late last year for running ICE recruitment ads on its platform, carriers FedEx and UPS have delivery contracts with the agency, and reports have claimed that a Marriott-owned Sheraton hotel in Louisiana was used by ICE agents to hold detained families. Protesters have previously been successful in getting companies to lose their business partnerships with ICE, like with Avelo Airlines, which decided last month to stop its ICE deportation flights after months of scrutiny. And on Sunday, French tech giant Capgemini divested from its U.S. subsidiary that was doing business with ICE, following scrutiny from union workers and French government officials. Retail analysts told Axios on Friday that general strikes tend to struggle in sustaining participation over days, which is when it would truly start to impact sales data. “It's easy for me to tell other people to stop working and take the risk of getting fired; that kind of walkout would only hurt small businesses and probably lead to more job losses,” Galloway said on his blog. Gizmodo sought comment from Amazon, Apple, Google, Microsoft, Paramount+, Uber, Netflix, X, Meta, AT&T, Comcast, Dell, Charter, FedEx, Home Depot, Lowe's, Marriott, Spotify, UPS, and OpenAI. ICE is enlisting ten companies for a widespread immigrant surveillance program. After a couple of years being shelved or not used properly, Netflix might be just what 'Scooby-Doo' needs.
Interestingly, I cannot find a single user of OpenClaw in my familiar communities, presumbly because it takes some effort to setup and the concept of AI taking control of everything is too scary for average tech enthusiasts.I scan through comments on HN, many of which were discussing about the ideas, but not sharing first-hand user experiences. A few HN users who did try it gave up / failed for various reasons:- https://news.ycombinator.com/item?id=46822562 (burning too many tokens)- https://news.ycombinator.com/item?id=46786628 (ditto + security implication)- https://news.ycombinator.com/item?id=46762521 (installation failed due to sandboxing)- https://news.ycombinator.com/item?id=46831031 (moltbook didn't work)I smell hype in the air... HN users, have any of you actually run OpenClaw and let it do any things useful or interesting? I scan through comments on HN, many of which were discussing about the ideas, but not sharing first-hand user experiences. A few HN users who did try it gave up / failed for various reasons:- https://news.ycombinator.com/item?id=46822562 (burning too many tokens)- https://news.ycombinator.com/item?id=46786628 (ditto + security implication)- https://news.ycombinator.com/item?id=46762521 (installation failed due to sandboxing)- https://news.ycombinator.com/item?id=46831031 (moltbook didn't work)I smell hype in the air... HN users, have any of you actually run OpenClaw and let it do any things useful or interesting? - https://news.ycombinator.com/item?id=46786628 (ditto + security implication)- https://news.ycombinator.com/item?id=46762521 (installation failed due to sandboxing)- https://news.ycombinator.com/item?id=46831031 (moltbook didn't work)I smell hype in the air... HN users, have any of you actually run OpenClaw and let it do any things useful or interesting? - https://news.ycombinator.com/item?id=46762521 (installation failed due to sandboxing)- https://news.ycombinator.com/item?id=46831031 (moltbook didn't work)I smell hype in the air... HN users, have any of you actually run OpenClaw and let it do any things useful or interesting? - https://news.ycombinator.com/item?id=46831031 (moltbook didn't work)I smell hype in the air... HN users, have any of you actually run OpenClaw and let it do any things useful or interesting? I smell hype in the air... HN users, have any of you actually run OpenClaw and let it do any things useful or interesting? When I'm driving or out I can ask Siri to send a iMessage to Clawdbot something like “Can you find out if anything is playing at the local concert venue, and figure in how much 2 tickets would cost”, and a few minutes later it will give me a few options. It even surprised me and researched the different seats and recommended a cheaper one or free activities as an alternative that weekend.Basically: This is the product that Apple and Google were unable to build despite having billions of dollars and thousands of engineers because it's a threat to their business model.It also runs on my own computer, and the latest frontier open source models are able to drive it (Kimi, etc). The future is going to be locally hosted and ad free and there's nothing Big Tech can do about it. Basically: This is the product that Apple and Google were unable to build despite having billions of dollars and thousands of engineers because it's a threat to their business model.It also runs on my own computer, and the latest frontier open source models are able to drive it (Kimi, etc). The future is going to be locally hosted and ad free and there's nothing Big Tech can do about it. It also runs on my own computer, and the latest frontier open source models are able to drive it (Kimi, etc). The future is going to be locally hosted and ad free and there's nothing Big Tech can do about it. After messing with openclaw on an old 2018 Windows laptop running WSL2 that I was about to recycle, I am coming to the same conclusion, and the paradigm shift is blowing my mind. Being able to chat with somebody that has a working understanding of a Unix environment and can execute tasks like "figure out why Caddy is crash looping and propose solutions" for a few dollars per month is a dream come true.I'm not actually using OpenClaw for that just yet, though; something about exposing my full Unix environment to OpenAI or Anthropic just seems wrong, both in terms of privacy and dependency. (I'll only allow my Unix devops skills to start getting rusty once I can run an Opus 4.5 equivalent agent on sub-$5000 hardware :) I'm not actually using OpenClaw for that just yet, though; something about exposing my full Unix environment to OpenAI or Anthropic just seems wrong, both in terms of privacy and dependency. (I'll only allow my Unix devops skills to start getting rusty once I can run an Opus 4.5 equivalent agent on sub-$5000 hardware :) Once it's running, day-to-day use is pretty straightforward (chat with it like any other messaging app).That said, you'll still need to: - Understand basic API costs to avoid surprises - Know when to restart if it gets stuck - Tweak settings for your specific use caseIf you're determined to skip tinkering entirely, I'd suggest starting with just the messaging integration (WhatsApp/Telegram) and keeping skills/tools minimal. That's the lowest-friction path.For setup guidance without deep technical knowledge, I found howtoopenclawfordummies.com helpful - it's aimed at beginners and covers the common gotchas.Is it transformative without tinkering? But the baseline experience (AI assistant via text) is still useful. That said, you'll still need to: - Understand basic API costs to avoid surprises - Know when to restart if it gets stuck - Tweak settings for your specific use caseIf you're determined to skip tinkering entirely, I'd suggest starting with just the messaging integration (WhatsApp/Telegram) and keeping skills/tools minimal. That's the lowest-friction path.For setup guidance without deep technical knowledge, I found howtoopenclawfordummies.com helpful - it's aimed at beginners and covers the common gotchas.Is it transformative without tinkering? But the baseline experience (AI assistant via text) is still useful. If you're determined to skip tinkering entirely, I'd suggest starting with just the messaging integration (WhatsApp/Telegram) and keeping skills/tools minimal. That's the lowest-friction path.For setup guidance without deep technical knowledge, I found howtoopenclawfordummies.com helpful - it's aimed at beginners and covers the common gotchas.Is it transformative without tinkering? But the baseline experience (AI assistant via text) is still useful. For setup guidance without deep technical knowledge, I found howtoopenclawfordummies.com helpful - it's aimed at beginners and covers the common gotchas.Is it transformative without tinkering? But the baseline experience (AI assistant via text) is still useful. But the baseline experience (AI assistant via text) is still useful. > because it's a threat to their business model. Full disclosure, I use OpenRouter and pay for models most of the time since it's more practical than 5-10 tokens per second, but the option to run it "If I had to, worst case" is good enough for me. I wouldn't be so certain of that. Someone is paying to train and create these models. Big tech is bought and paid for by consumers. We can do the same for oss trained models. So yes, I think the majority user experience is very relevant. Which means most people must be using OpenClaw connected to Claude or ChatGPT. If you think this sort of thing is gonna change the world in a good way: here's evidence of it getting to scale. If you think it's gonna be scams, garbage, and destruction: here's evidence of that. Actually, hang on... yep, to absolutely nobody's surprise, Simon Willison has also hyped this up on his blog just yesterday. I've followed SimonW for quite some time and bullshit/grifting is just NOT something he does.On the contrary, I've learned a great deal from him and appreciate his contributions. On the contrary, I've learned a great deal from him and appreciate his contributions. What have you learned, other than "[latest AI grift] is the future and I should invest all my money into it now"? Plus, it seems some of y'all love to hate the very industry which puts a roof over your head. How do you feel about becoming a plumber—-until the robots take that job? This probably isn't a line of argument you want to go down. I've been unemployed for 7 months, in part due to how difficult it is to get so much as an intro call because so many people have totally automated the process of spamming every open job posting with as many resumes (many of which were likely LLM-generated as well) as possible. There is no commercial interest from the developer of OpenClaw. He doesn't make any money from it. He made enough from selling his startup a few years back.So when we suspected some companies to game the Twitter algorithm to make money, maybe they were not responsible for it at all. So when we suspected some companies to game the Twitter algorithm to make money, maybe they were not responsible for it at all. I just can't see an angle to OpenClaw that could provide a substantial financial gain for the creator. #1) I can chat with the openclaw agent (his name is "Patch") through a telegram chat, and Patch can spawn a shared tmux instance on my 22 core development workstation. #2) I can then use the `blink` app on my iphone + tailscale and that allows me to use a command in blink `ssh dev` which connects me via ssh to my dev workstation in my office, from my iphone `blink` app.Meanwhile, my agent "Patch" has provided me a connection command string to use in my blink app, which is a `tmux