Mark Spencer

10.4K posts

Mark Spencer

Mark Spencer

@markspen

Creative partner at Ripple Training. I tweet about Final Cut Pro, Motion, Resolve, Filmmaking, AI, and basically anything I find interesting.

SF Bay Area Katılım Mart 2007
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Anonymous
Anonymous@YourAnonNews·
Fmr UN Weapons Insp. Scott Ritter: "Burned these children alive! You know why this happened? Pete Hegseth cancelled a Department of Defense directive that required a civilian mitigation team to go over each target to make sure that we weren't striking the wrong targets. He called that WOKE"
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Anish Moonka
Anish Moonka@AnishA_Moonka·
June 1983. A 28-year-old Steve Jobs walks into a design conference in Aspen, Colorado. He asks the room who owns a personal computer. Nobody raises their hand. He says “Uh-oh.” Then he spends the next 55 minutes describing the next four decades of technology. Jobs told the audience Apple’s strategy was to “put an incredibly great computer in a book that you can carry around with you, that you can learn how to use in 20 minutes… with a radio link in it so you don’t have to hook up to anything.” That’s an iPhone. In 1983. The Mac hadn’t even shipped yet. He described an MIT project that sent a camera truck down every street in Aspen, photographed every intersection, and built a virtual walkthrough on a computer screen. Google Street View launched 24 years later. He said office networking was about 5 years away and home networking 10 to 15 years out. The web went mainstream in the mid-90s, about 12 years later. Dead on. He described software being sent electronically over phone lines, with free previews and credit card payment. That’s the App Store, 25 years before it launched. He even compared it to the music industry and said software needed “the equivalent of a radio station” for free sampling. Apple built the iTunes Music Store 20 years later. The AI prediction is the one that hits different now. Near the end, Jobs talked about machines that could capture a person’s “underlying spirit” or “way of looking at the world,” so that after they died, you could ask the machine questions and maybe get answers. He said 50 to 100 years. ChatGPT arrived in about 40. The weird part is this speech was lost for nearly 30 years. The full hour-long recording only surfaced in 2012 when a blogger got a cassette tape from someone who attended the original conference. The Steve Jobs Archive didn’t release actual video footage until July 2024. His timelines were consistently too fast. He wanted the “computer in a book” within the 1980s. Apple’s first attempt was the Macintosh Portable in 1989, which weighed 16 pounds and cost $6,500. The iPad arrived in 2010, 27 years late. He guessed voice recognition was about a decade away. Siri launched in 2011, nearly 30 years later. The vision was right every time. The clock was wrong every time. Apple was doing about $1 billion a year in revenue when Jobs gave this talk, with under 5,000 employees. Today it’s worth $3.7 trillion.
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Mark Spencer
Mark Spencer@markspen·
Spacebot and ClaudeClaw, side by side (link in comments)
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Jamie Pine
Jamie Pine@jamiepine·
I built the best agent harness, Spacebot I built Voicebox and gave it a voice. Now I’m building the data layer, resurrecting Spacedrive spacedrive.com Follow @spacedriveapp because this company is about to run itself.
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Carolina Forward
Carolina Forward@ForwardCarolina·
The @Cato Institute, a libertarian think tank, is out with a major new research study showing that immigrants, both legal and illegal, contribute significantly more in taxes than they receive in public benefits. And there's more: because immigrants (both legal and not) are such large net-contributors of tax revenue, they also structurally reduce government budget deficits.
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Om Patel
Om Patel@om_patel5·
this guy built an app that lets him control multiple claude code instances WITH JUST HIS EYES AND VOICE he looks at the terminal he wants and speaks his command. that's it no keyboard. no mouse. just gaze tracking + voice on a macbook pro absolutely unreal. I guess the future of coding is not typing
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Jesus Freakin Congress
Jesus Freakin Congress@TheJFreakinC·
🚨BREAKING: DHS agents are now illegally arresting U.S. citizens at airports… and trafficking them across state lines. A 28-year-old U.S. citizen, Sunny Naqvi, was detained by DHS, for 43 hours, after landing at O’Hare International Airport in Chicago. She wasn’t charged with a crime, and she wasn’t accused of doing anything illegal… Agents reportedly detained her over what they called a “curious travel history.” Even though Sunny was born in Illinois…they still disappeared her. After being held for about 30 hours inside the airport, agents secretly moved Sunny to an ICE detention facility in Broadview, Illinois. While this was happening, federal agents repeatedly told her family she was NOT in custody, even though her phone location showed she was inside the facility. Then it gets worse. According to witnesses, agents asked for Sunny’s phone number so they could “look for her phone.” Minutes later, the phone was opened, her messages were read, and the device was shut off, cutting off the family’s ability to track her. After that, agents transported the U.S. citizen across state lines, to another detention facility in Dodge County, Wisconsin. And then she was eventually released early Saturday morning… in a random state, alone. Her phone was dead, and she had no transportation. So, a U.S. citizen detained by the federal government had to hitchhike to a hotel, just to be able to reunite with her family. And this is what people need to understand… When federal agents can detain U.S. citizens without charges… lie to families about their custody, search personal phones, and secretly transport people across state lines… That puts every single American in danger. Because they can do it to anyone.
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Null Hype
Null Hype@nullhypeai·
The deeper issue here isn't the free access. It's that Amazon deployed a Claude-class model (likely Haiku via Bedrock) for customer support, a task that requires maybe 5% of the model's capability. The other 95%, code generation, document analysis, strategic reasoning, is still there, completely accessible to anyone who asks. This is the "overpowered model in a constrained deployment" problem at scale. Bedrock Guardrails can block denied topics and filter PII at $0.15 per 1,000 text units, but guardrailing against off-label general intelligence is a fundamentally harder problem. The irony: Amazon invested $4B+ in Anthropic, restricts its own engineers from using Claude Code internally, and is now subsidizing free Claude access for anyone who opens a support ticket.
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Mark Spencer
Mark Spencer@markspen·
Consider or already using OpenClaw? You might want to take a peek at Spacebot. Link to 5 reasons why in the comments.
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Mark Spencer
Mark Spencer@markspen·
Seconded
Michael Grant@michaelgrant

@elonmusk Another X complaint. My ‘For You’ feed gets algo jacked way too quickly. I primarily follow AI developments and world news so my feed reflects these interests, historically. But my family likes cute animal videos so I ‘some times’ share those from X sometimes just to make them smile. They love it. However, X decides now decides to swing my feed to 80% cute animal videos when I spend 95% of my time on those other things. Please fix.

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Mark Spencer
Mark Spencer@markspen·
Epic
Peter Girnus 🦅@gothburz

I am Raj Sundaram. I am a Senior Systems Architect at U.S. Customs and Border Protection. Office of Trade. Automated Commercial Environment Division. I designed the tariff collection module. It went into production in 2018. It works correctly. It has always worked correctly. It has never crashed. It has never lost a transaction. It has never failed an audit. It collected one hundred and seventy-five billion dollars. The Supreme Court ruled the collection was unconstitutional. I was not consulted on the constitutionality. I was consulted on the architecture. The architecture is excellent. The architecture can process 14,000 tariff assessments per hour across 412 line items in the Harmonized Tariff Schedule. It interfaces with the entry summary system, the Treasury payment pipeline, and the broker portal simultaneously. It does not make mistakes. It processed 175 billion correct transactions. Every one of them was illegal. The system does not know this. The system does not have a field for legality. Legality was not in the requirements document. Judge Eaton of the Court of International Trade has ordered refunds of one hundred and thirty billion dollars. Three hundred thousand importers. Ninety days. I was not asked to design a refund module. No one was. The collection module took fourteen months to build. It had a team of eleven engineers. It had a project sponsor. The sponsor was the White House. The project had a name. The name was RAPID COLLECTION. Rapid Collection had a Jira board. The Jira board had 247 tickets. All 247 tickets are closed. The project was delivered on time, under budget, and in full compliance with every specification. The specification did not include the word "refund." I have checked. I have searched the requirements database for the word "refund." It appears once. In a comment. From 2019. The comment says: "Out of scope per stakeholder direction." The stakeholder is not named. The comment was marked resolved. The refund module does not exist. I do not mean it is broken. I do not mean it is slow. I do not mean it is in beta, in staging, or in a feature branch. I mean, it does not exist. There is no architecture. There is no database schema. There is no API. There is no endpoint. There is no queue. There is no microservice. There is no Lambda function. There is no documentation. There is no wiki page. There is no Confluence space. There is no Slack channel. There is a Slack channel for the office coffee machine rotation. There is no Slack channel for returning 130 billion dollars. When Judge Eaton ordered the refunds, my team received a ticket. The ticket was filed in Jira. The ticket was classified as a new feature request. Priority: P2. P2 means "important but not urgent." One hundred and thirty billion dollars owed to three hundred thousand importers in ninety days is classified the same as "update the favicon on the broker portal." The collection module took 14 months to build, with 11 engineers and a White House sponsor. The refund module has a ninety-day court order. It does not have a budget. It does not have a team. It does not have a project sponsor. It does not have a Jira board. It has my ticket. My ticket is TRADE-48127. It is assigned to me. The description says: "Build refund processing capability for the ACE system. See court order." There is a link to the court order. The link is broken. The system was designed to collect money from importers. It was not designed to return it. These are different requirements. I want to be precise about this. Collection and refund are not two halves of the same feature. They are separate systems. Collection is automated, event-driven, and processes at the port of entry in real time. Refund would require claim intake, eligibility verification, amount calculation, accrual of interest, integration with Treasury disbursements, and an appeals process. The interest alone. The system collected money over twenty-four months. Interest has accrued on one hundred and thirty billion dollars for twenty-four months. The interest calculation module does not exist either. The interest is accruing on a number that no system is calculating. The importers cannot see the interest in their portal. The portal has a field for "Amount Paid." It does not have a field for "Amount Owed." These are different fields. One was built. One was not. I attended a meeting last Tuesday. The meeting was called "ACE Refund Capability -- Kickoff." Fourteen people were in the room. Three were from Legal. Two were from Treasury. Two were from the Office of Trade. Four were engineers including me. Two were from the vendor that built the original collection module. One was from Communications. The Communications person took notes. The first note was: "Do not use the word 'refund' in external communications. The approved term is 'tariff adjustment.'" The Legal team asked if we could use the existing collection module in reverse. I explained that the collection module is a one-way pipeline. It accepts money. It does not emit money. They asked if we could "flip it." I said you cannot flip a pipeline. One of the Legal team members asked if this was "a technical limitation or a design choice." I said it was a specification. The specification said, "collect." It did not say "collect and also uncollect." They asked who wrote the specification. I said the specification was approved by the Executive Steering Committee in 2017. They asked who was on the Executive Steering Committee. I said the committee was dissolved in 2019. They asked where the committee's records were. I said the records are in a SharePoint site. The SharePoint site was migrated in 2021. The migration lost forty-seven percent of the documents. The specification is in the forty-seven percent. The vendor who built the collection module submitted a proposal for the refund module. The proposal estimates 18 months and $42 million. The court order gives us ninety days. The vendor's eighteen-month estimate assumes a team of thirty engineers. We have four. The vendor's forty-two-million-dollar estimate assumes a funded program. We have a Jira ticket. The ninety-day clock started on February 12. Today is March 6. Twenty-one days have passed. We have held six meetings. We have produced one requirements document. The requirements document is fourteen pages. Page one is a cover sheet. Page fourteen is a glossary. The glossary defines the word "refund." The definition took eleven days to finalize because Legal, Treasury, and Trade could not agree on whether a refund of an unconstitutional tariff is technically a "refund," a "remission," a "drawback," or a "return of funds collected without statutory authority." They settled on "tariff adjustment credit." The engineers call it a refund. The documentation calls it a tariff adjustment credit. The system calls it nothing. The system does not know it is coming. I am Raj Sundaram. I built a system that collected $175 billion. Every transaction was fast, accurate, and unconstitutional. The system works perfectly. It just only works in one direction.

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John O'Connell
John O'Connell@jdpoc·
On Iran, the FT gets it.
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Brian Roemmele
Brian Roemmele@BrianRoemmele·
Anthropic's Revealing Chart on AI's Impact on Jobs Anthropic has unveiled a pivotal chart that underscores the chasm between AI's capabilities and its real-world application in the workforce. Derived from analyzing 2 million actual conversations with Claude, this radar chart, titled "Theoretical Capability and Observed Usage by Occupational Category," paints a stark picture of untapped automation potential across various job sectors. At its core, the chart is a spider web diagram plotting occupational categories around a circular axis, with values ranging from 0 to 1.0 representing the share of job tasks. The expansive blue area illustrates the theoretical coverage tasks that large language models (LLMs) like Claude could perform right now based on their inherent abilities. In contrast, the much smaller red area shows observed usage, drawn from real user interactions. The visual disparity is immediate and profound: blue spikes outward significantly in fields like computer and math (reaching about 0.75), business and finance, and office administration, while red hugs close to the center, often below 0.2 across most categories. This gap isn't just academic; it's a "career runway," as highlighted in discussions around the chart. For programmers, 75% of tasks are theoretically automatable, yet actual usage lags far behind. Similar vulnerabilities appear in customer service, data entry, and financial analysis, roles traditionally seen as white-collar strongholds. Meanwhile, hands-on fields like construction, agriculture, and protective services show lower theoretical exposure, with blue areas dipping to around 0.1-0.3, suggesting AI's current limitations in physical or unpredictable environments. Broader data amplifies the chart's message. As of early 2026, 49% of U.S. jobs expose at least 25% of tasks to AI, up from 36% a year prior. Yet, mass layoffs haven't materialized; unemployment in AI-vulnerable roles remains steady. Instead, subtler shifts are underway: a 14% drop in hiring for 22-25-year-olds in exposed positions indicates companies are prioritizing experienced workers, shortening entry-level pathways for recent graduates. The implications are clear: while AI's red footprint grows incrementally each month, the blue expanse signals accelerating change. College-educated, higher-earning professionals, once insulated are now most at risk, flipping the script on traditional labor disruptions. Anthropic's chart isn't a doomsday prophecy but a wake-up call, urging workers and businesses to bridge the gap through adaptation, upskilling, and ethical integration of AI tools. Please read the 5000 Days Series at ReadMultiplex.com for answers on how you can thrive in the Interregnum.
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Peter Girnus 🦅
Peter Girnus 🦅@gothburz·
I am the CEO of Palantir Technologies. The company is worth a quarter of a trillion dollars. I did not misspeak. Two hundred and forty-nine billion. The stock is up 320% in the past 12 months. The product is surveillance. I do not use that word at conferences. At conferences, I say "data integration," "operational intelligence," or "decision advantage." These mean the same thing. Surveillance is the honest version. I save the honest version for rooms where honesty is a competitive advantage. I gave a speech on March 3 at the Andreessen Horowitz American Dynamism Summit. "American Dynamism" is the fund's label for military technology. The name makes it sound like a fitness supplement. The fund's thesis is that defending the nation is a market opportunity. I agree with the thesis. The thesis made me a billionaire. Agreement is the product. I sell it at scale. Here is what I said, verbatim, to a room of six hundred people whose combined net worth exceeds the GDP of Portugal: "If Silicon Valley believes we are going to take away everyone's white-collar job and you're gonna screw the military — if you don't think that's gonna lead to nationalization of our technology, you're retarded." I used that word. The word is on the clip. The clip has eleven million views. My communications team asked me not to repeat it, which is how I know they are still employed. They will not be reprimanded. The clip is performing well. The stock went up. The word cost me nothing. The nothing is the point. Let me explain what I meant by nationalization. I meant it. I am telling the technology industry that if they refuse to cooperate with the United States military, the government will seize their technology. I am telling them this at a venture capital conference, on a stage designed to look like a living room. The living room had throw pillows. The throw pillows cost more than the median American's monthly rent. I sat on one. It was comfortable. Comfort is the setting in which I discuss compulsion. The audience laughed. I want to be precise about that. They laughed. I was not joking. Nationalization is the seizure of private assets by the state. I am a private asset. I am telling an audience of billionaires that the state should seize technology from companies that do not cooperate with the military, and the billionaires are laughing, because they believe I am only talking about the other companies. I am talking about the other companies. Three weeks before my speech, the Pentagon designated Anthropic a "supply chain risk." Anthropic is an AI company. They had red lines. The red lines said: if our AI is used for lethal autonomous weapons, we stop. If capability outpaces safety, we stop. The Pentagon assessed the red lines as a threat to the supply chain. The company that wanted to verify the safety feature worked was designated the risk. The company that agreed the safety feature could be decorative got the contract. The company that got the contract was OpenAI. OpenAI signed a deal with the same Pentagon. The terms are not public. The timing was hours after Anthropic was blacklisted. The speed was noted. The speed was the point. The lesson was the speed: the market for military AI does not pause for ethics. It pauses for nothing. It accelerates through objections. I know this because I built the runway. Two hundred thousand people joined a campaign called #QuitGPT. They signed a petition asking OpenAI to honor its original charter, the one that said the company existed to benefit humanity. The charter is on their website. The contract is also on their website. The charter and the Pentagon contract occupy the same domain. This is not a contradiction. This is a business model. The charter is the marketing. The contract is the product. I run a surveillance company. We have contracts with the Department of Defense worth more than a billion dollars. We have contracts with ICE. We have contracts with intelligence agencies whose names I am not permitted to say at venture capital conferences, even ones with throw pillows. Our software has been used to track undocumented immigrants. Our software has been used for things I am not permitted to describe in this format. The revenue from the things I cannot describe exceeds the revenue from the things I can. The ACLU called our ICE contracts a system for tracking and deporting families. They were correct. The contracts continued. The families continued to be tracked. The ACLU issued a statement. We issued a statement. The statements were different. The tracking was the same. The company is named Palantir. The palantíri are the seeing stones from Tolkien. In the novels, Sauron captured one and used it to corrupt everyone who looked into the others. I named a surveillance company after a surveillance device from a novel about the corruption of power. I have a doctorate in social theory. I have read the books. Here is the thing I want you to understand. I am not threatening anyone. A threat implies uncertainty. There is no uncertainty. The technology industry will cooperate with the military. The companies that cooperate first will be the richest. The companies that cooperate last will be acquired by the companies that cooperated first. The companies that refuse will be designated supply chain risks, and their technology will be obtained through procurement channels that do not require consent. I am describing a process. The process has already started. Anthropic is proof. OpenAI is proof. I am not a warning. I am a narrator. The narration is the product. The revenue was $3.12 billion last year. Up thirty-three percent. The analysts say we are overvalued. The analysts have said this for four consecutive years. Each year the stock doubles. Each year, the analysts adjust their models. The models were wrong four times. I was wrong zero times. The market rewards prediction. My prediction is that every AI company will work for the military within three years. The prediction is on the clip, next to the slur. The audience gave me a standing ovation. The ovation lasted nine seconds. I timed it. I time everything. The water was San Pellegrino. The throw pillows were from Restoration Hardware. The future of American technology was decided between the sparkling water, the nine seconds of applause, and a word I am not supposed to repeat. I am the CEO of Palantir Technologies. I am worth more than the combined annual budgets of Estonia, Latvia, and Lithuania. I named my company after a corrupting surveillance device from a fantasy novel. I told six hundred billionaires that the government should nationalize their competitors. They applauded. I used a slur. Eleven million people watched. The stock is up. The philosopher does not threaten. The philosopher describes. What I described is already happening.
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