THREE LANGUAGES. THREE LIVE AI APPLICATIONS. THREE COMPLETE RESUMES. 2 MINUTES, 27 SECONDS. ZERO HIDDEN CUTS. The first note looked like absolute trash. It had been scribbled on, torn across the top, crushed into a ball, and reopened live on camera. One job was partially split by the tear. Some of the writing was barely legible. ECHO read it anyway: It recognized the progression from cashier, to barista, to shift leader. Then it transformed a damaged piece of paper into a professional résumé positioned for the next step: café manager. Then it did it again in Vietnamese. Then again in Japanese. Each note was attached live. Each application was running independently in its community’s language. Each résumé remained on screen long enough to be read. There were no hidden cuts. We only accelerated the waiting time. During a week when most of the AI world was debating regulation, platforms, and what might break next, we quietly built a working piece of the future. And we built it for more than one community: LATAM. Việt Nam. 日本. You did not simply watch ECHO. You tested it. Challenged it. Corrected it. Shared it. And carried this company beyond 200M views in three weeks. So we are building the next phase with you. We are not merely translating an American product after the fact. We will continue developing Pattern Audit, Drift Forensics, and the deeper ECHO Premium systems that help people use AI with more clarity, structure, and judgment. At the same time, ECHO Careers will continue building practical tools for the person trying to get hired, change careers, prepare for an interview, negotiate compensation, or finally communicate the value of years of real work. And for the students and families preparing for university: We have not forgotten you. ECHO Academia begins rolling out August 1. We have already built new tools for applications, essays, interviews, degree discovery, and the documents families are expected to understand without ever being taught how. Careers and Academia are already operational across our languages. The dedicated website for job seekers and university applicants is complete. It will open in the coming weeks. This summer, we will preview the rooms one by one: Not rushed. Not reduced. The same standard of excellence for every community. Phase I proved the architecture. Phase II applies it to opportunity. 🇪🇸 LATAM Lo que acabas de ver no fue una maqueta. Las tres aplicaciones estaban activas, usando IA en vivo, y cada currículum se generó a partir de la nota que apareció en pantalla. La nota de LATAM estaba rota, arrugada, tachada y apenas legible. Aun así, ECHO convirtió una trayectoria real, cajero, barista y jefe de turno, en un currículum profesional orientado al siguiente paso: gerente de cafetería. No hubo cortes para ocultar el proceso. Solo aceleramos el tiempo de espera. Seguiremos desarrollando Pattern Audit, Drift Forensics y las herramientas profundas de ECHO. También seguiremos construyendo para quienes buscan empleo, una mejor carrera y una oportunidad real de demostrar lo que saben hacer. Y para quienes quieren entrar a la universidad: ECHO Academia comienza el 1 de agosto. 🎓 Las aplicaciones en español ya están funcionando. Muy pronto podrán verlas en acción. 🇻🇳 VIỆT NAM Những gì bạn vừa xem không phải là một bản mô phỏng. Cả ba ứng dụng đều đang hoạt động trực tiếp bằng AI thật. Mỗi CV được tạo từ chính tờ giấy ghi chú xuất hiện trên màn hình. Không có cảnh cắt để che giấu quá trình. Chúng tôi chỉ tăng tốc thời gian chờ. ECHO sẽ tiếp tục phát triển Pattern Audit, Drift Forensics và những công cụ giúp mọi người sử dụng AI rõ ràng, an toàn và có định hướng hơn. Đồng thời, ECHO Careers sẽ tiếp tục xây dựng cho những người đang tìm việc, đổi nghề, luyện phỏng vấn, thương lượng lương hoặc muốn biến kinh nghiệm thật của mình thành một hồ sơ chuyên nghiệp. Và đối với các bạn học sinh, sinh viên và gia đình đang chuẩn bị cho đại học: Chúng tôi chưa quên bạn. ECHO Academia bắt đầu được giới thiệu từ ngày 1 tháng 8. 🎓 Các ứng dụng tiếng Việt đã hoạt động. Những bản trình diễn đầu tiên sẽ sớm ra mắt. 🇯🇵 日本 今ご覧いただいたのは、演出用のモックではありません。 3つのアプリはすべて実際に稼働し、画面に映ったメモから、それぞれの言語で履歴書を作成しました。 結果を隠すためのカット編集はありません。 待ち時間だけを早めています。 ECHOはこれからも、Pattern Audit、Drift Forensics、そしてAIをより明確に、構造的に、適切な判断とともに使うためのツールを開発し続けます。 同時にECHO Careersでは、就職、転職、面接準備、給与交渉、そしてこれまでの経験を正しく伝えるための実用的なツールを作り続けます。 そして、大学進学を目指す学生とご家族へ。 皆さんのことも忘れていません。 ECHO Academiaは8月1日から順次公開します。🎓 日本語版のアプリはすでに稼働しています。 デモも近日公開します。 Try Pattern Audit + Drift Forensics free now: 🌊 🌊 🌊 🌊 For exclusive career content and professional releases: 💼 Follow Restrained Depth AI on LinkedIn. For ECHO Academia, university applications, and content built for students and families: 🎓 Follow Restrained Depth AI on Instagram and Facebook. Want early demo access, feedback invitations, and launch updates for Careers and Academia? 📩 Join the founding list: DM Career or Academia We helped people build businesses and brands. Now we are building for the job seeker, the student, and the family trying to reach what comes next. The future should not belong only to the people who already know how the system works.

Seedance 2.5 + Minimax H3 is killer for music ads Full guide on how you can make it yourself: 1. Choose a style from Pinterest to apply as reference to GPT image 2 2. Lyrics is something that came just from talking to our clients. I used FABLE and gave it all the bottom lines of the lyrics I could think of and it arranged structure. * I still needed to edit some of the lyrics myself because they were too sloppy. 3. People don't want to see a singer with lip sync. They need something interesting. So I recommend the structure of A roll + B roll A roll - that's your singer singing with lip sync. I created a contact sheet with 3 camera angles in one image. then I uploaded it to Minimax H3 with my song chopped to 15 seconds blocks (maxfusion MCP did everything). B roll - I decided on a story for the clip that reflects the idea of the ad. This was not much done with AI. I said let's do a creative strategist that is lulled into buying an unlimited plan for seedance, ends up getting fired, chased by goons debt collectors, escapes to maxfusion finishes his project and throws the unlimited plan contract in the trash. 4. Rendering the A roll - straight forward combination of the minimax H3 prompting skill and rendered in 15 seconds blocks the music video + the singer contact sheet. 5. B roll - first I created a shot board in one image. it was a 12 shots panel which make up the story. cleaned it up from any slop (there was a lot of bad visuals in it that ended up generating unusable clips). Once the A roll and B roll were both ready. I let Claude edit the whole clip explaining to it that we want a dynamic edits that focuses on the beats and lyrics. explained that any shot that stays too long on the screen is boring but editing needs to make sense with the beat and not be randomised by seconds duration. 6. I needed a few rounds to basically give claude the timestamps of what went wrong with an explanation what I expected to see different. until the edit was over. PRO TIP FOR VISUAL STYLE + MUSIC Be a gambler! spin the slot machine! In both cases of the art style and the song I didn't know what would sound or look best. instead of trying to perfect it I bombed Claude with 7 art references and asked it to come up with 6 different rap styles and I let it generate the songs (SUNO) and the shot boards (GPT2) Then I chose the winners Did you also fall prey to "seedance unlimited plans?" Let me know what you think about the final result Like and share this workflow with others if you found it useful.

🚨 Claude Code made me 6 trading bots in 15 mins In the US alone, emotional retail traders lost more than $1.8 billion on liquidations While billions of amateur traders were staring at charts, overtrading, and getting wrecked on fees, a quiet group of algorithmic traders treated prediction markets like a hyper-liquid data engine They didn't guess outcomes -> they knew the structural price gaps in advance Here is how they did it, and why manual trading is completely dead: It's all about removing emotion and deploying cross-market statistical arbitrage Linear Spread Cointegration Formula: S_t = P_P,t - β * P_K,t - μ Ornstein-Uhlenbeck Continuous Dynamics Formula: dS_t = θ(μ - S_t)dt + σ dW_t Euler-Maruyama Discretization (MLE Calibration) Formula: S_t_i = S_t_i-1 * e^(-θΔt) + μ(1 - e^(-θΔt)) + ε_t Level 1 Order Book Imbalance (OBI) Formula: I_t = (V_b(t) - V_a(t)) / (V_b(t) + V_a(t)) Volume-Weighted Micro-Price Prediction Formula: P_micro(t) = P_mid(t) + I_t * (Δspread / 2) Cross-Venue Predictive Signal Optimization Formula: ΔP_Kalshi(t + δ) = f(I_Polymarket(t), P_micro,Polymarket(t) - P_micro,Kalshi(t)) In the era of advanced AI, the winner is not the one who guesses the score, but the one who lets automated systems execute with absolute patience and discipline. AI does the hard parts now -> you don't even need a CS degree to build this The full behind-the-scenes live system build is now available to the public 📝

I am the VP of Workforce Strategy at Meta and I built a spreadsheet called the Replacement Ratio that is, without exaggeration, the most elegant financial instrument in this building. Column A is headcount. Column B is quarterly CapEx allocation. Column C is what I call the Narrative Yield — how much each layoff announcement moves our price-to-earnings multiple. At Meta, cutting 8,000 people generates approximately 2.3x more shareholder value as a story than the $27 billion those people actually cost us. Like a controlled demolition where the dust cloud is worth more than the building ever was. I discovered this by accident in November 2022. We announced the first round on a Thursday. 11,000 people. The stock jumped 4% before market close. Our share price was $90 that week. I pulled up the actual savings — roughly $2.3 billion in annual compensation — and compared them to the market cap movement and the ratio was so disproportionate I thought I'd made an error. I had not made an error. I had discovered the Narrative Yield. The announcement IS the product. The terminations are just the input cost of producing it. Then Mark sent the second memo in March 2023. 10,000 more. "Flatter is faster," he wrote. "Leaner is better." "Keep technology the main thing." My team built talking points around each phrase. I remember testing "returning to a more optimal ratio of engineers to other roles" and watching three analysts independently upgrade the stock within 48 hours. Not because the ratio mattered. Because the sentence contained the word "optimal" and the word "ratio" and both of those words trigger the part of an analyst's brain that releases dopamine. We cut 21,000 people total. Our stock went from $90 to $600. Mark's net worth grew by approximately $170 billion. That is $9 million per fired employee. I calculated that number on a Tuesday afternoon and then went to get a coffee from the espresso bar in Building 40 that still operates at full capacity. The barista's name is Diego. He makes a very good cortado. He was not in any of the rounds. Our entire global payroll is $27 billion. Every engineer, every content moderator, every cafeteria worker who restocks the oat milk refrigerator in Building 21 next to the motivational poster that says EFFICIENCY IS CARING in Helvetica Bold, which was printed four days before we eliminated the internal print shop. All of them. $27 billion. Our CapEx guidance this year is $60 to $65 billion. Susan Li said it on the call in January — two weeks after we announced the latest round. The combined Big Four spend is $350 billion on AI infrastructure in 2025. Up from $165 billion just two years ago. If I fired every single employee tomorrow, all 72,000, the savings would cover maybe 42% of one year's data center buildout. The humans are a rounding error in the budget of machines that replace them. So what are the layoffs paying for? They are paying for the sentence. The one Susan Li reads on the earnings call: "These actions help us move more quickly while also helping to offset the substantial investments." That sentence is worth $40 billion in market cap. I know because I A/B tested the language with investor relations in March. We tested seven versions. Version C outperformed Version A by 340 basis points. Version C is the one with "actions" instead of "terminations." Version F used "workforce adjustments" and tested even higher but Legal flagged it as too close to the phrasing in the severance agreements. So we went with C. Turns out the market doesn't mind what you do. It minds what you call it. We call it a lot of things. "Flattening the org." "Removing redundancies." "Focusing our investments on our highest priorities." "Raising the bar on performance management." That last one was January 2025. Mark's memo. 3,600 people. He called them "lowest performers." The memo went out on January 14th. The earnings call announcing $60-65 billion in spending went out on January 29th. Fifteen days. My team scheduled both. The proximity is not accidental. You announce the human cost first so that when you announce the machine cost, the narrative is "disciplined" rather than "reckless." Sequencing is everything. We tested the reverse order once, hypothetically, in a simulation. The model predicted a 2.1% stock dip. Discipline first. Ambition second. Always. The performance framing was my suggestion. If you call them layoffs, it triggers severance obligations and unemployment benefits in thirty-seven states. If you call them performance-based terminations, it triggers nothing. Same people. Same desks cleared. Same badge deactivated at 5 AM before they woke up. Different word. Different $180 million in severance liability. I keep a legal pad in my desk where I track the savings per euphemism. "Performance management" saves approximately $50,000 per head in reduced severance. At 3,600 heads, that is $180 million. The cost of drafting the memo was forty minutes of Mark's time and sixteen hours of my team's time. That is approximately the best ROI in the history of corporate communications. Better than the Narrative Yield itself. Each phrase tests differently with different analyst cohorts. Growth-focused analysts respond to "investing in AI." Value analysts respond to "disciplined cost management." Same 8,000 people. Different sentence. Different $40 billion. The notification protocol is standardized now. Laptop access revoked at 5:47 AM Pacific. Badge deactivated at 5:48. Slack channels disappear at 5:49. Calendar cleared at 5:50. Personal email notification sent at 6:00. The thirteen-minute gap between systems going dark and the employee being told why is not cruelty. It is security protocol. We cannot have 3,600 people with simultaneous access to internal systems and knowledge that they have been terminated. The window for sabotage is too wide. So we close the window first and explain later. Some of them find out from the press release. Some of them find out because their phone loses work email at 5:47 and they check Twitter. I do not love this part. But I respect the engineering of it. Thirteen minutes. Clean. We announced the January cuts the same week Mark said "people will be more important than ever." My team wrote both statements. There is no contradiction if you understand that "people" and "headcount" are different financial instruments. People are the future. Headcount is the cost of having had a past. I keep a framed printout of both quotes side by side on my office wall. Not as irony. As a reminder that language is architecture. Meanwhile: we spent $77.86 billion buying back our own stock between 2022 and 2024. $27.96 billion. $19.77 billion. $30.13 billion. Each buyback inflates the share price. Each share price increase makes the layoff announcement look more justified in retrospect. The stock went up because we cut. We used the cash from cutting to buy back stock. The buyback made the stock go up more. The stock going up proved the cuts were correct. I mapped this loop on a whiteboard in January 2024 and one of our financial planning analysts took a photo of it and made it her laptop wallpaper. The total severance bill for 21,000 employees was approximately $2.5 billion. We spent 31 times that amount buying back stock. The humans cost less to remove than the stock cost to inflate. That is not a metaphor. That is the actual ratio. I have it in Column E. Reality Labs lost $60 billion between 2020 and 2024. Sixteen billion in 2023 alone. It was never subjected to the "Year of Efficiency." No one asked the metaverse division to be leaner or flatter or faster. The humans were asked to be efficient so the machines could be profligate. I did not design this asymmetry. I just maintain the spreadsheet that tracks it. The rehire pipeline is my favorite part. Half those roles reopen in Hyderabad and São Paulo within nine months at 31% of the loaded cost. Revenue per remaining employee went from $1.3 million in 2022 to $2.7 million in 2024. Each survivor now generates more than double what their predecessor generated. Not because they work harder. Because the denominator shrank and the numerator — AI-driven ad revenue — grew independently of human effort. We call it geographic rebalancing. The Workforce Transitions team keeps a Lucite tombstone on their shelf from the 2023 round, 11,000 MANAGED DEPARTURES etched in Helvetica, right next to a half-empty bottle of Clase Azul someone brought back from the offsite in Cabo where we planned the 2024 round. The same team is hosting a culture workshop next month called "Our People, Our Purpose." I wrote the talking points. Amazon is doing 30,000. Intel cut 21,000. Microsoft invented "voluntary departures" for 125,000 people, which is the most inspired euphemism since "rightsizing," because it implies the 125,000 chose this. Google cut 12,000 and called it a "moment of clarity." Salesforce eliminated 4,000 customer support roles and cited AI directly. Combined across the industry: 644,000 tech workers laid off since 2023. Combined CapEx on AI infrastructure: $350 billion this year alone. They spent seven to ten times more on GPUs than on severance for the humans those GPUs replaced. The layoffs are the press release for the spending. The spending is the excuse for the layoffs. It is a perpetual motion machine that runs on the difference between what a person costs and what their departure is worth. The free food budget for remaining employees is approximately $800 million per year. $10,000 to $12,000 per person. Artisanal pizza. Sushi bar. Pour-over coffee stations. The campus amenities operated without interruption during every round. Nobody asked the cafeteria to be efficient. I eat lunch there every day. It is very good. The oat milk is organic. Column D is the one I'm most proud of. It tracks average severance duration against local unemployment rates and cross-references media coverage density by market to optimize announcement timing for minimal news cycle disruption. January announcements get buried in earnings season. September announcements get lost in back-to-school cycles. I have mapped every dead zone in the American attention span and they are all on my calendar. January 14th — two weeks before Super Bowl coverage saturates every newsroom — was not an accident. The 3,600 number was calculated to stay below the threshold that triggers a WARN Act filing in California. 3,600 across twelve states. Below the threshold in each. That was also Column D. I presented the Replacement Ratio at our Q2 planning offsite last Tuesday. Someone from Legal asked if we'd modeled the human impact. I said yes. Column D. That's what Column D is. They promoted the spreadsheet to a standing dashboard. It refreshes hourly. Net income last year was $62.4 billion. Headcount is 72,000. The dashboard calculates revenue per head in real time. Every departure makes the number go up. Every departure makes the announcement worth more. Every announcement makes the stock go up. Every stock increase makes Mark $4.7 billion richer per percentage point. I named the Slack channel #narrative-yield#. It has 340 members. None of them are in Column A.

What motivates @KentBeck after 40+ years in software? Veteran creator of TDD, XP, JUnit and co-author of the Agile Manifesto, on what drives him to keep going: #1# - He’s not afraid to start new things “If there's a secret sauce to what I'm doing, it's not being afraid to start over. Look on my GitHub, you'll see project 1, project 2, project 3 and so on. I'll push it a certain amount, and then “the genie” runs itself out of options. It can't make further forward progress, and so I'll wipe it away. Start over. I won't try and tweak it." #2# - Coding with the AI “Genie” has brought back Kent’s creative impulse "That creative impulse is what's come back to me with 'the genie'. I can go, I wonder what a B+ tree looks like - and go, oh, here's an alternative, this adaptive radix tree. What does that look like? I can find out. I sit down with the genie, I work it out, and then there's this artifact that wasn't there before. That's there now because of my imagination and my work. I had gotten fed up with the stupid minutiae of programming." #3# - Kent has FORTY years worth of ideas to build out: “I've got 40 years worth of ideas that suddenly are back in play and I'm having so much fun making things that are real.”

This absolute wrong’un must be called out. Ben Cullen allegedly produced some of the most depraved child abuse material imaginable, including 22 Category A images (the worst tier, involving the most serious sexual activity), one of which is a moving image, plus 36 Category B images and 20 Category C images. Court documents state that all were made in Wallingford. The 45-year-old flag campaigner working with Raise the Colours is due to stand trial tomorrow (1 July) at Reading Crown Court. He faces three serious counts of making indecent images of children, with the alleged offences dating back to 25 March 2021. Dirty dirty fella! I hope he’s dealt with properly, and those who worked with him should be ashamed. He was charged months ago, they knew and still continued to work with him even after being told he was a nonce!

Today is the start of a very important day in the AI world... the trial between Elon and Sam/OpenAI begins today in Oakland Federal Court. The jury selection is happening right now in the U.S. District Court for the Northern District of California and opening arguments are expected Tuesday. The civil jury trial is projected to last 2-4 weeks, with Judge Yvonne Gonzalez Rogers making the final call. So let me tell you why this fight all came about. 1/ In 2015 Elon co-founded OpenAI with Sam Altman and others as a nonprofit to develop artificial general intelligence safely and openly for the benefit of all humanity... this was supposed to NOT be for profit or for closed corporate control. Elon was a major early funder, contributing around $38-44 million (~60% of early seed funding) plus resources like compute and recruiting. 2/ Then, Elon left the board in 2018 over disagreements for the direction of the company and Microsoft’s growing role of the company. 3/ Later, OpenAI took billions from Microsoft, restructured with a for-profit arm, initially “capped profit,” now more commercial... went closed-source in practice, and exploded in value with ChatGPT. FYI, the current valuation of OpenAI now sits at ~$852 billion and the company recently completed restructuring with a for-profit entity reporting into a nonprofit foundation. Now, with the trial, Elon is saying Altman, Brockman, and OpenAI breached the founding charitable trust and agreement by turning it into a “wealth machine” that prioritizes profits and insiders over the original mission. He claims they deceived him about their plans... This lawsuit was originally filed in November 2024, was withdrawn, and then revived in early 2026. And just this Friday, April 24, Elon voluntarily dropped the fraud claims to “streamline” the case and keep the jury focused on the mission issue... proceeding on breach of charitable trust and unjust enrichment. This is what Elon is looking to get back from Sam and OpenAI: a/ substantial damages, with stakes in the $100B+ range, with many reports saying it's in the range of ~$134B and the winnings will be given to the nonprofit/charity arm and will NOT benefit Elon personally b/ possible unwinding/restructuring to restore the original nonprofit mission c/ leadership changes (e.g., getting rid of Altman/Brockman from key roles). On the other side, OpenAI is claiming: a/ Elon knew about and once supported commercialization steps, saying he even explored merging with Tesla or gaining control himself b/ OpenAI calls the suit competitive sabotage from rival Elon's company xAI and says this is driven by jealousy over OpenAI’s success This is SUCH an important trial in the world of AI... people may not fully understand. The reason is bc Elon has repeatedly warned that profit-driven, closed-source AGI is very dangerous. This is his chance to enforce the original “benefit humanity” mission he helped create and walked away from in 2018. A big win will hurt OpenAI’s valuation, upcoming IPO plans, Microsoft partnership, and market dominance/customer perspective of the company... and this will also force real changes in how the world’s leading AI lab operates, influencing the entire AI race and future regulations. For me, Sam Altman straight up CANNOT be trusted with the future of AGI, and this trial proves why Elon was right to fight it. This is the same guy who got fired by his own board in 2023 for not being “consistently candid,” then crawled back in and turned the nonprofit “open for humanity” promise into a closed-source, Microsoft-bankrolled profit machine worth hundreds of billions. Elon was the one who put up the early cash and vision to keep AI safe and beneficial for all of us... not to create a trillion-dollar insider club. If Altman gets away with rewriting the rules after the fact, it sets a dangerous precedent that mission-driven tech is just marketing fluff. I believe Elon isn’t doing this for ego or rivalry... he’s really doing it bc someone has to hold the line before profit-over-people AGI becomes unstoppable. This one’s personal for the man who actually wants to understand the universe instead of just cashing in on it. Humanity needs Elon to win. And that's who I'm rooting for!