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最近关注列表挺有意思的。 中文圈、英文圈、Web3、AI、设计、互联网文化…… 各种不同背景的人都来了。 My timeline is slowly becoming a small global circle. Different languages. Different ideas. Same goal: Build. Share. Connect. 越来越觉得，X 最有意思的地方非单纯涨粉， 你会遇到一些有趣的人。 真实互关，真实互动，真实成长。 才是留下来的意义。 Thanks for following. Let’s keep building together. #互关互助# #蓝V互关# #互fo# #FollowBack# #MutualSupport# #XCommunity# #AI# #Web3# #Crypto# #InternetCulture# #BuildInPublic# #ContentCreator# #KeepBuilding#

I am reaching out to the @X community for advice with the likely risk of sharing TMI. I have been sufficiently upset about the whole matter that I have lost sleep thinking about it and I am hoping that this post will enable me to get this matter off my chest. By way of background, I started a family office called TABLE about 15 years ago and hired a friend who had previously managed a family office, and years earlier, had been my personal accountant. She is someone that I trusted implicitly and consider to be a good person. The office started small, but over the last decade, the number of personnel and the cost of the office grew massively. The growth was entirely on the operational side as the investment team has remained tiny. While my investment portfolio grew substantially, the investments I had made were almost entirely passive and TABLE simply needed to account for them and meet capital calls as they came in. While TABLE purchased additional software and other systems that were supposed to improve productivity, the team kept increasing in size at a rapid rate, and the expenses continued to grow even faster. While I would periodically question the growing expenses and high staff turnover, I stayed uninvolved with the office other than a once-a-year meeting when I briefly reviewed the operations and the financials and determined bonus compensation for the President and the CFO. I spent no time with any of the other employees or the operations. The whole idea behind TABLE was that it would handle everything other than my day job so that I would have more time for my job and my family. Over the last six years, expenses ballooned even further, employee turnover accelerated, and I became concerned that all was not well at TABLE. It was time for me to take a look at what was going on. Nearly four years ago, I recruited my nephew who had recently graduated from Harvard and put him to work at Bremont, a British watchmaker, one of my only active personal investments to figure out the issues at the company and ultimately assist in executing a turnaround. He did a superb job. When he returned from the UK late last year after a few years at Bremont, I asked him to help me figure out what was going on with TABLE. When I explained to TABLE’s president what he would be doing, she became incredibly defensive, which naturally made me more concerned. My nephew went to work by first meeting with each employee to understand their roles at the company and to learn from them what ideas they had on how things could be improved. He got an earful. Our first step in helping to turn around TABLE was a reduction in force including the president and about a third of the team, retaining excellent talent that had been desperate for new leadership. Now here is where I need your advice. All but one of the employees who were terminated acted professionally and were gracious on the way out (excluding the president who had a notice period in her contract, is currently still being paid, and with whom I have not yet had a discussion). The highest compensated terminated employee other than the president, an in-house lawyer (let’s call her Ronda), told us that three months of severance was not enough and demanded two years’ severance despite having worked at the company for only two and one half years. When I learned of Ronda's request for severance, I offered to speak with her to understand what she was thinking, but she refused to do so. A few days ago, we received a threatening letter from a Silicon Valley law firm. In the letter, Ronda’s counsel suggests that her termination is part of longstanding issues of ‘harassment and gender discrimination’ – an interesting claim in light of the fact that Ronda was in charge of workplace compliance – and that her termination was due to: “unlawful, retaliatory, and harmful conduct directed towards her. Both [Ronda] and I [Ronda’s lawyer] have spoken with you about [Ronda’s] view of what a reasonable resolution would include given the circumstances. Thus far, TABLE has refused to provide any substantive response. This letter provides the last opportunity to reach a satisfactory agreement. If we cannot do so, [Ronda] will seek all appropriate relief in a court of competent jurisdiction.” The letter goes on to explain the basis for the “unsafe work environment” claim at TABLE: “In early 2026, Pershing Square’s founder Bill Ackman installed his nephew in an unidentified role at TABLE, Ackman’s family office. [His nephew]—whose only work experience had been for TABLE where he was seconded abroad for the last four years to a UK watch company held by Ackman—began appearing at TABLE’s offices and conducting interviews of employees without a clear explanation of his role or the purposes of these interviews. During this period, he made a series of inappropriate and genderbased [sic] comments to multiple employees that created an unsafe work environment. Among other things, [his nephew] made remarks about female employees’ ages (“Tell me you are nowhere near 40”), physical appearance (“Your body does not look like you have kids”), as well as intrusive questions about family planning and sexual orientation (“Who carried your son? Who will carry your next child?”). These incidents were reported to senior leadership at TABLE and Pershing Square. Rather than being addressed appropriately, the response from senior management reflected, at best, willful blindness to the inappropriateness of [his nephew]’s remarks and, at worst, tacit endorsement.” The above allegations about my nephew had previously been brought to my attention by TABLE’s president when they occurred. When I learned of them, I told the president that I would speak to him directly and encouraged her to arrange for him to get workplace sensitivity training. The president assured me that she would do so. When I spoke to my nephew, he explained what he actually had said and how his actual remarks had been received, not at all as alleged in the legal letter from Ronda’s counsel. I have also spoken to others at the lunch table who confirmed his description of the facts. In any case, he meant no harm, was simply trying to build rapport with other employees, and no one, as far as I understand, was offended. Ironically, Ronda claims in her legal letter that TABLE didn’t take HR compliance seriously, yet Ronda was in charge of HR compliance at TABLE and the person who gave my nephew his workplace sensitivity training after the alleged incidents. In any case, Ronda, as head of compliance, should have kept a record or raised an alarm if indeed there was pervasive harassment or other such problems at the company, and there is no evidence whatsoever that this is true. So why does Ronda believe she can get me to pay her nearly $2 million, i.e., two years of severance, nearly one year of severance for each of her years at the company? Well, here is where some more background would be helpful. Over the last two months, I have been consumed with a major family medical issue – one of my older daughters had a massive brain hemorrhage on February 5th and has since been making progress on her recovery – and I am in the midst of a major transaction for my company which I am executing from a hospital room office next to her . While the latter business matter is publicly known, the details of my daughter’s situation are only known to Ronda because of her role at our family office. Now, let’s get back to the subject at hand. Unfortunately, while New York and many other states have employment-at-will, there has emerged an industry of lawyers who make a living from bringing fake gender, race, LGBTQ and other discrimination employment claims in order to extract larger severance payments for terminated employees, and it needs to stop. The fake claim system succeeds because it costs little to have a lawyer send a threatening letter and nearly all of the lawyers in this field work on contingency so there is no or minimal cash cost to bring a claim. And inevitably, nearly 100% of these claims are settled because the public relations and legal costs of defending them exceed the dollar cost of the settlement. The claims are nearly always settled with a confidentiality agreement where the employee who asserts the fake claims remains anonymous and as a result, there is no reputational cost to bringing false claims. The consequences of this sleazy system (let’s call it ‘the System’) are the increased costs of doing business which is a tax on the economy and society. There are other more serious problems due to the System. Unfortunately, the existence of an industry of plaintiff firms and terminated employees willing to make these claims makes it riskier for companies to hire employees from a protected class, i.e., LGBTQ, seniors, women, people of color etc. because it is that much more reputationally damaging and expensive to be accused of racism, sexism, and/or intolerance for sexual diversity than for firing a white male as juries generally have less sympathy for white males. The System therefore increases the risk of discrimination rather than reducing it, and the people bringing these fake claims are thereby causing enormous harm to the other members of these protected classes. So what happened here? Ronda was vastly overpaid and overqualified for the job that she did at TABLE. She was paid $1.05 million plus benefits last year for her work which was largely comprised of filling out subscription agreements and overseeing an outside law firm on closing passive investments in funds and in private and venture stage companies, some compliance work, and managing the office move from one office to another. She had a very good gig as she was highly paid, only had to go into the office three days a week, and could work from anywhere during the summer. Once my nephew showed up and started to investigate what was going on, she likely concluded that there was a reasonable possibility she would be terminated, as her job was in the too-easy-and-to-good-to-be-true category. The problem was that she was not in a protected class due to her race, age or sexual identity so she had to construct the basis for a claim. While she is female and could in theory bring a gender-based discrimination claim, she reported to the president who is female and to whom she is very close, which makes it difficult for her to bring a harassment claim against her former boss. When my nephew complimented a TABLE employee at lunch about how young she looked – in response to saying she was going to her 40-year-old sister’s birthday party, he said ‘she must be your older sister’ – Ronda immediately reported it to our external HR lawyer. She thereby began building her case. The other problem for Ronda bringing a claim is that she was terminated alongside 30% of other TABLE employees as part of a restructuring so it is very difficult for her to say that she was targeted in her termination or was retaliated against. TABLE is now hiring an external fractional general counsel as that is all the company needs to process the relatively limited amount of legal work we do internally. In short, Ronda was eminently qualified and capable and did her job. She was just too much horsepower for what is largely an administrative legal role so she had to come up with something else to bring a claim. Now Ronda knew I was a good target and it was a good time to bring a claim against me. She also knew that I was under a lot of pressure because on March 4th when Ronda was terminated, my daughter had not yet emerged from consciousness, she was not yet breathing on her own, and my daughter and we were fighting for her life. I was and remain deeply engaged in her recovery while at the same time I was working on finishing the closing for the private placement round for my upcoming IPO. Ronda also knew that publicity about supposed gender discrimination and a “hostile and unsafe work environment” are not things that a CEO of a company about to go public wants to have released into the media. And she may have thought that the nearly $2 million she was asking for would be considered small in the context of the reputational damage a lawsuit could cause, regardless of the fact that two years of severance was an absurd amount for an employee who had only worked at TABLE for 30 months. She also likely considered that I wouldn’t want to embarrass my nephew by dragging him into the klieg lights when her claims emerged publicly. So, in summary, game theory would say that I would certainly settle this case, for why would I risk negative publicity at a time when I was preparing our company to go public and also risk embarrassing my nephew. Notably, she hired a Silicon Valley law firm, rather than a typical NY employment firm. This struck me as interesting as her husband works for one of the most prominent Silicon Valley venture firms whose CEO, I am sure, has no tolerance for these kinds of fake claims that sadly many venture-backed companies also have to deal with. I mention this as I suspect her husband likely has been working with her on the strategy for squeezing me as, in addition to being a computer scientist, he is a game theorist. My only advice for him is to understand more about your opponent before you launch your first move. All of the above said, gender, race, LGBTQ and other such discrimination is a real thing. Many people have been harmed and deserve compensation for this discrimination, and these companies and individuals should be punished for engaging in such behavior. Which brings me to the advice I am seeking from the X community. I am not planning to follow the typical path and settle this ‘claim.’ Rather, I am going to fight this nonsense to the end of the earth in the hope that it inspires other CEOs to do the same so we shut down this despicable behavior that is a large tax on society, employment, and the economy and contributes to workplace discrimination rather than reducing it. Do you agree or disagree that this is the right approach?

Israeli and Palestinian civil society groups will meet in France on June 12 to urge the international community not to abandon a two-state solution, as Paris seeks to keep the issue alive amid the Middle East war

SpaceX Starbase: Helping Lift Brownsville Out of Poverty and Bring Wealth to Local Families For many years, Brownsville and the Rio Grande Valley carried the difficult reputation of being among the poorest regions in the United States. High poverty rates shaped daily life for families across Cameron County for decades. In the 1990s, the area was even designated a federal Rural Empowerment Zone in recognition of these long-standing challenges. Today, the trajectory is changing. Poverty rates in Cameron County have been declining steadily. They fell from the mid-30s percent range around 2010 to 28.9% in the 2015–2019 period, and now stand at 24.8% according to the latest U.S. Census Bureau data (2020–2024 American Community Survey 5-year estimates). While the rate is still higher than state and national averages, the consistent downward trend reflects real, measurable progress. A New Wave of Investment and Job Creation Recent data from the Greater Brownsville Economic Development Corporation’s FY 2025 Annual Impact Report shows strong momentum. Between October 2024 and September 2025, the organization helped attract $183.7 million in new investment and supported the creation of 3,288 jobs. The report also shows 10,604 jobs retained during that period and 7,116 jobs already committed for 2026. *Greater Brownsville EDC FY 2025 Key Economic Highlights (see infographic below) These figures reflect broad economic activity across the region, with SpaceX’s Starbase playing a significant role as a major anchor project. Starbase has brought thousands of direct jobs to the area and has helped attract suppliers and related investment. This type of large-scale development is helping address long-standing needs for stable employment and skills development in Brownsville and surrounding communities. Local voices are also noticing the change. Former Brownsville City Councilwoman Jessica Tetreau, @JessicaTetreau at Starbase beach at sunset described the shift she has witnessed in her own community: “Before, in the past in Brownsville, people would talk about the brain drain, how all of our youth would have to leave to San Antonio, to Austin to find jobs… And now these young people that are from the community are finding these amazing jobs.” She shared that in her own neighborhood, parents are now working at SpaceX, and children are growing up excited about launches and rocket engineering, “just like their fathers.” “The kids that are graduating from UTRGV and local universities, they’re coming to work here. It’s really exciting. Engineering is now one of the hottest and exciting things to have in this area.” Direct Support for Education and Downtown Renewal In addition to job creation, there has been targeted investment in the community’s future. In 2021, Elon Musk and the Musk Foundation committed $30 million to the area. $20 million to schools across Cameron County and $10 million for the revitalization of downtown Brownsville. Brownsville Independent School District received more than $2.4 million of the school funding. The money has supported the expansion of Career and Technical Education programs, helping prepare young people for the skilled jobs now available locally. The downtown portion included a $1 million grant to the Brownsville Community Improvement Corporation to strengthen the historic core of the city. Below are a few photos I took while touring downtown Brownsville with Jessica Tetreau right after Starship Launch 12, showing the renewed energy through spots like Main Street Deli, a local bookstore, and Dodici Pizza & Wine. A Community Moving Forward Brownsville has always been a resilient place. In recent years, it has gained access to meaningful new employment opportunities, investment in education, and visible improvements in its downtown. These developments are helping lift families, create local wealth, and support the renewal of the community. Challenges remain, as they do in any place working to overcome long-term economic hardship. But the direction is positive. New jobs are being created, young people are gaining access to better training, and the heart of the city is showing signs of renewal. This is the quieter but very real story of progress happening in Brownsville today that legacy media will keep quiet about.

A lot of testnet trading platforms feel more like demos than products users actually return to. That’s part of why @perx_trade stands out inside the @NomismaNetwork ecosystem. The platform offers a smooth way to explore trading, test strategies, compete with others, and earn Diamonds through ongoing activity all without using real capital. What makes it more interesting is how naturally the competition and engagement seem to keep users coming back. As Season 3 continues, PerX feels less like a simple task and more like one of the main places where community activity is actually happening.

Karmelo Anthony claims he cannot afford a lawyer for his appeal. According to his appeal, Karmelo is, “too poor to employ counsel to represent me…” Karmelo raised $625,000 for his legal battle, but some of those funds were used to help his family “relocate” after allegedly facing threats. Karmelo’s family moved into luxurious gated community that reportedly costs roughly $900,000, according to the NYP.

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MOVA has made a strategic investment in @HiiT_World. HiiT is building a Real-Time Signal Market, transforming market activity, real-time events, community trends, and onchain participation into interactive digital experiences for users. With HiiT joining the ecosystem, MOVA continues to expand the range of applications built on top of its stablecoin infrastructure, enabling users to engage with real-time market signals through interactive and community-driven onchain experiences. A new layer of engagement for onchain users. Welcome to the MOVA ecosystem, HiiT. 🚀 To kick off Season 1, HiiT will launch a US$1,000,000 USD1 Trading Bonus Airdrop campaign for early participants. 🔥

$AMD| The FOMO to buy @AMD Chips is NOW 🧵 Not Financial Advice! DYOR! Research Purpose Only! The Inference Queen is the biggest winner in Agentic AI where all other CPUs are struggling to compete with a 2yr old EPYC Turin and EPYC Venice is in mass production phase. AMD stresses deployability today on standard x86 platforms (no proprietary architectures required), full software compatibility, and open standards. This positions Venice + Helios as a practical, high-density alternative to competing solutions while underscoring that agentic AI shifts the balance toward CPU-rich racks alongside GPUs, and most importantly, lowering the cost of token to accelerate adoption and innovation. Context: @WSJ yesterday came out with an article that @OpenAI is condiering drasstically lowering the token prices to win more customers from Anthropic. The narrative "they" are trying to exacerbate the current AI selloff won't last long. This is a fundamental misunderstanding of what is going on, or what I already discussed for months and years. Followers and Subscribers already knew this for years, that this day would come, where token cost will bcome the central discussion among enterprises as there is no such thing as unlimited budget or Tokenmaxxing when they use $NVDA chips or In-house Hyperscalers chips. I will link various threads if you are interested in understanding the full picture from supply chain to recent TSMC Rapid 2nm expansion up to 12 Fabs total by 2027/2028. Hyperscalers and AI natives effectively have no choice but to buy more AMD system for Agentic AI as leadership in economical, power-aware, high-volume internal + agentic use. However, due to supply constraints where Supply is far behind Demand, this makes multi-vendor reality along with in-house chips drive faster industry progress, lower overall costs, and better sustainability. NVIDIA’s Vera Rubin cannot compete with a 2 years old EPYC Turin, but AMD under Dr. Lisa Su has engineered the lowest cost-per-million-tokens, highly competitive energy-efficient solutions, and superior CPU orchestration for agentic AI at scale with Helios. Dr. Su has championed this shift since at least 2023, foreseeing the rise of agentic workflows that demand far more orchestration, parallel agents, and balanced compute well before the industry fully embraced it. Her long-term vision of AI moving from simple prompts to always on, multi-agent systems has driven AMD’s investments in high-core EPYC CPUs and integrated rack-scale solutions, perfectly positioning the company for today’s realities. The OpenAI-AMD 1GW Helios deployment (starting H2 2026) represents a pivotal vertical integration move that directly supercharges the inference economics. This isn't incremental; it's a structural shift toward ownership of massive, optimized rack-scale capacity, enabling the lowest token costs and triggering the enterprise adoption flywheel. We need to be honest, $AMD is the only company that made a big bet on Inference since the day Chatgpt became sensational where $NVDA and others were betting big on Training. At the end of the day, Token bill from @AnthropicAI has to obey economics. Meaning the bills rise, companies have to get more out of it to justify the cost. It cannot be an unlimited inference budget, and it has to show up on efficiency, profitability and operating leverage. 1. Tokenomics After you understand this, you will understand why Citi cited @AnthropicAI is likely to sign a deal with $AMD along with Hyperscalers, AI Labs, Sovereign AI like Softbank 5GW in France and many other countries. However, OpenAI and $META are now wanting faster deployment, and they are AMD shareholders now, they have prioritized allocation. Anthropic and Hyperscalers just cannot compete when Helios Rack lower token cost to$0.0003–$0.0005 per million tokens at GW scale. Cost to build 1GW data center 1GW Helios Rack full build is estimated $30-$35B 1GW Rubin Rack full build is estimated $45-$55B Inference (Cost per Million Tokens) ~$NVDA B200 / HGX: ~$0.02–$0.08 on optimized workloads (FP4/MXFP4, speculative decoding). Significant improvement over Hopper but still premium-priced. GB200 NVL72 rack-scale: $0.05–$0.25+ ~$AMD Helios Racks: $0.0003-$0.0005 per M tokens, dramatically lower than NVIDIA equivalents in owned infra. MI355X node-level: Up to 40% more tokens per dollar vs. competing solutions ( B200), driven by higher memory capacity (up to 288GB+ HBM), strong bandwidth, and lower acquisition costs. Training ~$NVDA Rubin Rack is estimated $0.7-$1.2/M Tokens ~$AMD Helios Rack is estimated $0.65-$1.0/M Tokens Now, OpenAI, META and Hyperscalers can lower Inference cost even further with $AMD EPYC Venice "dense rack" or Agentic AI Rack. AMD published a detailed technical blog emphasizing that the future of agentic AI autonomous, multi-step AI systems requiring heavy orchestration, databases, caching, APIs, and control planes demands massive CPU-dense rack-scale infrastructure, not just GPUs. The catalyst prominently positions their upcoming 6th Gen EPYC "Venice" processors as the key enabler for next-generation dense racks, delivering leadership throughput under real-world power, cooling, and density constraints. ~EPYC Venice (Zen 6 architecture, up to 256 cores / 512 threads per socket) is projected to deliver exceptional rack-level performance. In AMD’s modeled 100 kW rack comparisons, Venice-powered systems are expected to achieve ~3.30x the throughput of NVIDIA’s Vera (88-core Olympus) baseline across a broad mix of agentic-supporting workloads. ~This builds on current-generation 5th Gen EPYC "Turin" (up to 192 cores), which already delivers ~2.37x rack throughput vs. Vera and ~1.6x vs. Intel’s Xeon 6980P (128 cores). ~ Liquid-cooled Turin deployments already support >27,000 CPU cores per rack today. Venice is architected to push this beyond 36,000 cores in the same rack class, dramatically increasing concurrent agent capacity and overall infrastructure efficiency. 2. Ownership vs renting compute from Hyperscalers matter to OpenAI and only owning $AMD chips can meaningfully lower token cost for enterprises. ~Eliminates cloud overhead: No provider margins, utilization buffers, or egress fees. Direct control over power contracts, cooling, scheduling, and orchestration at dedicated facilities. ~Helios optimizations at GW scale: Rack-level density (1.4+ exaFLOPS FP8 per rack), high HBM4 bandwidth, EPYC orchestration for agentic workloads, and superior TCO/TDP. AMD's long-standing focus on tokens per dollar/watt shines here 20-40%+ efficiency edges in inference-heavy scenarios. ~At 1GW+ optimized deployment, inference hits $0.0003–$0.0005 per million tokens (community/analyst models tied to Helios metrics). This is dramatically lower than typical rented/cloud equivalents, especially for high-volume output tokens in agentic flows. High token bills today, enterprises running heavy agentic/coding/analysis workloads can face $50-100M+/month at current API rates (flagship models $5-30+/M output, scaled to massive volumes). Post-Helios compression, same volume will drop to $10-15M/month (or better) via lower underlying costs passed through as pricing flexibility, volume tiers, caching, or batch discounts. ROI thresholds collapse. More companies greenlight pilots → production → massive scaling. Agentic AI (autonomous workflows) multiplies token demand exponentially, but affordability removes the friction. OpenAI gains flexibility, Unlike more cloud-dependent rivals (Anthropic), they can lower effective pricing, offer aggressive enterprise bundles, or absorb volume without margin destruction directly tackling "high token bill" complaints while maintaining profitability as usage explodes. 3. Agentic AI Models shifted CPU:GPU Ratio to 1:1 toward 3-5:1 with Explosively Token-Hungry Workloads Agentic AI (autonomous, multi-step agents with planning, tool use, iteration, and self-correction) is fundamentally more compute and token intensive than conversational or single-turn generative AI. Agentic AI. autonomous, multi-step workflows with orchestration, tool use, parallel agents, data movement, and enterprise integration has dramatically increased the importance of strong host CPUs alongside GPUs. This shifts the CPU-to-GPU ratio higher and makes balanced systems critical toward 1:1 to 5:1 as enterprises testing more than 5-10 agents. AMD EPYC Venice excels ~Leadership core density (up to 256 Zen 6 cores per socket) for running many agents in parallel, orchestration layers, and high-throughput control-plane tasks. ~Superior performance-per-core and power efficiency ( up to 2.1x higher perf/core and 2.26x better SPECpower vs. NVIDIA Grace in benchmarks). ~Tight integration in Helios: One Venice CPU + multiple MI450 GPUs per node, enabling efficient data feeding to GPUs ("zero-copy"), parallel execution, and full rack utilization for complex agentic loops. Hyperscalers (Meta, Microsoft, Amazon, Google, Softbank) and AI natives (OpenAI, Anthropic...) are adopting high-core EPYC at scale specifically for these agentic demands, as CPUs now handle a larger share of non-model work (orchestration, policy enforcement, tool calls). This complements AMD’s lower-cost GPUs for overall TCO wins. ~Agents often generate 10–100x+ more tokens per task due to iterative reasoning chains, multiple tool calls, verification loops, and long-context orchestration. ~Goldman Sachs forecasts token consumption multiplying 24x by 2030 (to 120 quadrillion tokens/month) largely driven by agentic adoption in consumer and enterprise. ~Enterprise data shows agent-pattern workloads growing at 680% annualized rates, projected to surpass conversational AI in token volume by Q3 2026. ~Daily enterprise agent token consumption is already in the billions, with complex workflows (coding, workflows, analysis) amplifying this dramatically. 4. Competitive Edge: Winning Customers from Anthropic Anthropic’s Claude models (especially Opus/Sonnet) excel in complex reasoning and agentic coding, commanding premium positioning. However, their higher underlying costs (heavier reliance on third-party cloud with margins) limit pricing flexibility compared to OpenAI’s owned Helios capacity. Anthropic is on track to generate $10.9 billion in Q2 revenue. The company expects to achieve its first-ever quarterly adjusted operating profit of $559 million. However, sustaining full-year profitability remains challenging due to immense computing and model training costs The truth is, Anthropic has no choice but to buy as much $AMD chips as possible if they want to compete with OpenAI or get investors attention. This 5% adjusted operating profit to revenue ratio is just pathetic. Current pricing dynamics (2026): OpenAI already undercuts on many tiers ( flagship output tokens significantly cheaper than equivalent Claude Opus). Nano/mini models offer 5–10x advantages for volume work. Anthropic holds edges in long-context flat pricing and certain reasoning quality. OpenAI after Helios Rack Ownership, At $0.0003–$0.0005/M effective costs, OpenAI gains massive headroom to: ~Aggressively discount high-volume agentic tiers or bundles. ~Offer “unlimited” enterprise plans or usage-based models that Anthropic struggles to match without margin erosion. ~Target cost-sensitive, high-throughput agent deployments (dev tools, automation platforms) where token bills explode. Enterprises facing $ millions in monthly agentic bills will migrate to the provider delivering better economics at scale. OpenAI’s combination of strong models (o-series reasoning) + lowest TCO positions it to erode Anthropic’s enterprise share, especially as agentic becomes the dominant token consumer. Cheaper tokens expand the total addressable market dramatically. This feeds the data/model improvement loop, justifying further capex. AMD benefits from proven scale pulling in more customers (Meta, Oracle, Microsfot, Amazon, Softbank, TensorWave, LumaAI ... already aligned on Helios). Conclusion: Dr. Lisa Su has been laser focused on inference economics since at least 2022–2023, repeatedly emphasizing that the real battleground for AI scalability would be TCO, power efficiency (TDP), and ultimately tokens per dollar and per watt not just raw training FLOPS. While many viewed inference as a secondary, commoditized workload, Dr. Su architected AMD’s roadmap around rack-scale systems optimized for high-volume, sustained inference that would dominate as models matured and usage exploded. Helios represents the culmination of that multi-year bet: a fully integrated, open platform designed precisely for the economics of massive token throughput. This deep, strategic partnership with OpenAI starting with the 1GW Helios deployment in H2 2026 and scaling to 6GW, is the embodiment of that shared vision. Both companies foresaw a future where agentic AI models evolve to become extraordinarily token-hungry: autonomous agents executing complex, iterative workflows with planning, tool use, verification loops, and long-context reasoning. These workloads can consume 100x+ more tokens per task than traditional chat or single-turn generation, driving exponential demand as capabilities improve and enterprises deploy them at scale. By owning and optimizing this massive Helios capacity at GW scale, OpenAI achieves inference costs as low as $0.0003–$0.0005 per million tokens. This structural cost advantage allows OpenAI to absorb the coming token explosion profitably, dramatically lower effective pricing for enterprises, and win high-volume agentic workloads from higher-cost competitors like Anthropic. What was once a prohibitive monthly token bill becomes an affordable accelerator for productivity and innovation. The OpenAI-AMD alliance validates Dr. Su’s prescient strategy and turns the Agentic flywheel into reality: Collapsing inference costs → explosive token consumption → richer data and better models → accelerate greater demand. This partnership doesn’t just address today’s economics, it positions both leaders at the center of the infrastructure buildout that will power AI’s next decade. By delivering the lowest inference economics at scale, OpenAI not only solves enterprise bill pain but gains a decisive weapon to win share from higher-cost rivals like Anthropic. And that is why @OpenAI and $META will deploy EPYC Dense Rack Not Financial Advice! DYOR! Research Purpose Only!