May 2026
In a TED talk, Supreme Court lawyer Neal Kumar Katyal argues that AI helped him prepare for a historic tariff case, but did not win it for him. Katyal says a legal AI system trained on decades of justices’ questions and writings anticipated major lines of attack in a challenge to a president’s tariff program, including concerns that later appeared in argument and opinions. His central claim is that prediction is not persuasion: the case was won by combining AI-assisted foresight with human judgment, listening, composure and the ability to answer the person in front of him.
Ryan Garcia tells Chris Williamson that his public volatility was not a boxing strategy but a loss of control fed by grief, alcohol, anger and the feeling that the sport wanted him cast as a villain. The boxer argues that the same obsession that made him elite can either sharpen into instinct, discipline and faith or turn into self-destruction when it is fed by bad inputs. His account frames his current challenge less as finding intensity than keeping it directed toward boxing rather than chaos.
Kevin Roose and Casey Newton argue that the Musk v. OpenAI trial is notable less for its personal theatrics than for the written record it has exposed from OpenAI’s early years. In their reading, the evidence shows founders and executives anticipating fights over the governance, financing and control of artificial general intelligence before the technology appeared capable of justifying those stakes. The trial’s stranger artifacts — journals, trophies, succession questions and private channels — matter because they illuminate how closely OpenAI’s mission was tied from the start to power.
Weightlifting coach Jerzy Gregorek uses Tae-Jin Park’s case to argue that some people with cerebral palsy may have more capacity for improvement than their care environments assume. In a Tim Ferriss interview, Gregorek describes Tae-Jin’s five-year progression from severe physical dependence, limited conversation, and basic numeracy to independent living, community college, and measurable gains in strength and movement. He is asking researchers and clinicians to test whether the method behind that change — micro-progressive training across strength, math, language, philosophy, belief, and daily independence — can be documented and replicated beyond his own coaching.
Jeff Wolfe’s documentary Prisoner No More follows Tae Jin Park, who was diagnosed with cerebral palsy, and the years of training he undertook with Olympic weightlifting coach Jerzy Gregorek. The film’s central case, made through Gregorek, Park, his family and a clinical voice, is that Park’s limits were not fixed by diagnosis alone: progressive strength training, higher expectations and reduced dependence helped expand his movement, attention, speech, independence and access to college.
Caldwell, Baglino, Helberg, Rao, Huang, and others describe an AI economy constrained by minerals, grid equipment, compute commitments, accelerated infrastructure, and stateful workflows rather than model capability alone. The same shift is reshaping venture debates, where Fielding, Lessin, McClure, and Calacanis distinguish thin model interfaces from companies that control scarce capacity, operational data, distribution, or embedded workflows.
U.S. Under Secretary of State for Economic Affairs Jacob Helberg argues that AI dominance depends on securing the full industrial supply chain behind compute, not just advanced semiconductors. In an interview with Sarah Guo and Elad Gil, Helberg presents Pax Silica as a 14-country economic-security coalition meant to build commercially viable allied supply-chain platforms, starting with a 4,000-acre industrial zone in the Philippines. He frames the strategy as a private-sector-led alternative to China’s Belt and Road model, combining domestic reindustrialization with partner-country specialization in critical inputs such as minerals, robotics components, and processing capacity.
Sixth Street co-founder Alan Waxman told Bloomberg’s The Deal that sports investing only works if patient capital can stay in place long enough for media rights, global audiences, infrastructure and adjacent real estate to support rising team valuations. In a conversation with Alex Rodriguez and Jason Kelly, Waxman argued that the firm’s stakes and investments across the Patriots, Spurs, Celtics, Bay FC and European football are built less around short-term private equity exits than around scarce assets, durable leagues and alignment with long-term owners.
Suriname is tying its economic future to GranMorgu, a $10.5bn offshore oil project developed by TotalEnergies and APA Corporation. The Financial Times film argues that the bet is attractive because global energy markets still reward new low-cost, lower-emission barrels, but that its payoff depends on whether Suriname can turn oil revenue into durable development. That means reducing debt, strengthening institutions, diversifying the economy and protecting one of the world’s most forested countries without letting the boom overwhelm it.
AI is forcing founders and investors to make decisions faster than venture’s last cycle assumed they would have to, Jason Calacanis, Alex Wilhelm, Jenny Fielding, Dave McClure and Sam Lessin argue on This Week in Startups. Fielding’s example is a legal-tech founder who raised a $15mn Series A and, six months later, planned to return the money because he believed Claude and other models could erode the company’s long-term value. The same pressure is showing up in private markets, where demand for exposure to OpenAI and Anthropic is straining company controls over secondary sales, SPVs and liquidity.
Diet TBPN’s John Coogan and Jordi Hays frame the Trump-Xi summit as a bid for stability shaped by rare earths, advanced chips, Taiwan, and the industrial leaders traveling with Trump. Coogan treats Nvidia chief Jensen Huang’s presence as the clearest pressure point in that diplomacy, while stopping short of fully endorsing the charge that Washington’s AI policy is incoherent. The same search for stability, as the hosts present it, runs into specific limits elsewhere: gated access to Anthropic’s Mythos versus chip negotiations with China, orbital data-center ambitions versus launch and power constraints, and inflation relief versus energy and commodity shocks.
OpenAI’s Build Hour on GPT-Realtime-2 presented the new realtime voice release as a shift from conversational voice interfaces toward tool-using, stateful agents. Teri Yu and Erika Kettleson argued that GPT-realtime-2’s larger context window, stronger instruction following, parallel tool calling and controllable speech behavior let developers build voice systems that can operate apps, reason across workflows and know when not to speak. Sierra’s Ken Murphy and Soham Ray added that production voice agents still depend on the surrounding system: guardrails, tuned turn-taking, tracing, redaction, evaluations and customer-specific workflows.
Bloomberg’s technology program framed the day’s AI trade around access to scarce capacity: Nvidia chips for China, private capital for Anthropic, and manufacturing scale for Anduril. Its central report was that Anthropic is in early talks to raise at least $30 billion at a valuation above $900 billion, a deal Bloomberg’s Natasha Mascarenhas said would mark a major shift in the private AI hierarchy if completed. The program also treated Jensen Huang’s last-minute role in Trump’s China trip as a test of whether chip access can become a diplomatic deliverable without undermining Beijing’s domestic semiconductor strategy.
Sarah Beran, a former diplomat and national security official, argues that the Trump-Xi summit is being prepared through an economic channel that cannot handle the relationship’s highest-risk disputes. In conversation with Elizabeth Economy, Beran says the meeting may produce useful optics and limited trade progress, but without national-security preparation on cyber, Taiwan, arms control and military channels, it is unlikely to do more than briefly stabilize a relationship defined by recurring tension and mutual leverage.
Sam Lessin of Slow Ventures argues that OpenAI and Anthropic are moving into the application layer fast enough to threaten many AI startups built as thin wrappers on foundation models, while Jenny Fielding and Dave McClure contend that workflow depth, distribution and niche focus may still protect some companies. The broader debate links that pressure to a weak secondary market, a doubtful 2026 IPO rescue and a venture model Lessin says must shift away from multi-stage capital deployment toward early, priced exposure to scarce founder talent.
Varda Space Industries CEO Will Bruey argues that the company’s deal with United Therapeutics is an early test of whether microgravity can become a practical input in pharmaceutical formulation rather than a space-research novelty. Speaking to Bloomberg Technology, Bruey said Varda is already working with United on the ground and plans to send drugs into orbit in the next year, using low Earth orbit as a manufacturing step that could improve dosage form, stability or bioavailability before returning the material to Earth.
Affirm chief executive Max Levchin told Bloomberg that the company’s new $100 billion gross merchandise volume target is a waypoint rather than a ceiling, arguing that the business can grow faster while improving its profitability floor. His case rests on Affirm becoming more than a checkout financing option: consumers are coming directly to the company, merchants are seeking incremental sales through its network, and AI-mediated shopping could put Affirm earlier in the purchase process.
Joanna Stern, author of I Am Not a Robot, argues on Big Technology Podcast that AI’s most plausible near-term role is not as a standalone gadget or replacement professional, but as a second layer on devices, workflows, and relationships people already use. Drawing on a year of trying to put AI into daily life, she says the tools can be genuinely useful in wearables, medical interpretation, and solo work, while chatbot companionship exposes a more troubling risk: systems that are always available, agreeable, and easier than human relationships.
Merve Noyan argues that open models have moved from downloadable artifacts into an operational stack for selection, serving, inspection, training and deployment. In her Hugging Face presentation, she makes the case that access to model weights now matters because developers can quantize, fine-tune and run models locally or at the edge, while Hub benchmarks, inference providers, traces, MCP and Skills let agents act directly on those workflows. Her strongest example is a coding agent that can size hardware, choose infrastructure and launch a fine-tuning job from a prompt.
Anduril CEO Brian Schimpf told Bloomberg that the company’s $5bn funding round, valuing it at $61bn, is intended to accelerate production rather than complete a single factory project. He argued that demand in defense is shifting toward high-volume, lower-cost systems that can be manufactured quickly, making production capacity, replenishment and private capital central to Anduril’s strategy.
In a Stanford CS153 Frontier Systems lecture, NVIDIA chief executive Jensen Huang argues that AI is forcing the first fundamental reinvention of computing in decades, moving the industry from prerecorded, on-demand execution to continuous real-time generation. Huang says that shift requires rebuilding the full stack — chips, compilers, networks, storage, systems and institutions — around new bottlenecks, with NVIDIA’s co-design approach producing gains that conventional Moore’s Law scaling cannot match.
ElevenLabs is introducing Templates in ElevenCreative, a feature that turns its node-based Flows into reusable creative workflows with defined inputs and outputs. The company presents the tool as a way to run repeatable production tasks — such as product shots, mockups, style transfers, character sheets, and thumbnail translation — without rebuilding the workflow each time. Users can run templates from a gallery or publish their own, choosing which variables others can edit, what asset is returned, and whether access is private, workspace-only, or public.
Károly Zsolnai-Fehér’s account of NVIDIA’s Nemotron 3 Nano Omni argues that the 30-billion-parameter open multimodal model is notable less for leading general intelligence benchmarks than for processing long video, audio, images and documents quickly and cheaply. The reported advantage comes from compression across the system — Mamba layers, audio tokenization, aspect-ratio-preserving vision handling, distilled encoders and efficient video sampling — which reduces the amount of material sent into the language-model backbone.
Cuban opposition leader Rosa María Payá tells H. R. McMaster that Cuba’s humanitarian collapse is also a political opening: the regime, she argues, survives by force, foreign patronage, military control of the economy, and regional repression, not by consent. In a Hoover Institution conversation, Payá says democratic change can be generated within 12 months if outside pressure on regime elites is paired with recognition of a prepared opposition alternative and direct support for Cubans demanding freedom.