Audio8 ASR Infinite streaming speech recognition model the native streaming architecture decodes 12.5 times per second a rolling KV Cache keeps both memory and latency constant, even in 24/7 operation one text token per clock step (12.5 / 8.3 / 6.25 decisions per second), balancing perception granularity and resource cost ML intern in huggingchat setup a gradio workflow to try it out: huggingchat: model:

Tesla is still dominating. In the first half of 2026, they secured over 52% of the U.S. EV market. 1. Tesla: 52.3% — 242,100 units sold 2. Chevrolet: 6.1% — 28,267 3. Hyundai: 5.8% — 26,936 4. Cadillac: 4.7% — 21,855 5. Rivian : 4.7% — 21,770 6. Toyota: 4.7% — 21,767 7. Ford: 3.6% — 16,606 8. Kia: 2.7% — 12,627 9. BMW: 2.4% — 10,790 10. Subaru: 2.2% — 10,064 11. Honda: 1.8% — 8,407 12. Lexus: 1.7% — 7,814 13. GMC: 1.4% — 6,645 14. Lucid: 1.1% — 5,208 15. Volvo: 0.9% — 3,964 16. VW: 0.8% — 3,768 17. Mercedes: 0.6% — 3,010 18. Porsche: 0.6% — 2,967 19. Other Brands: 0.6% — 2,596 20. Nissan: 0.4% — 1,774 21. Audi: 0.4% — 1,697 22. Genesis: 0.1% — 560 23. Dodge: 0.1% — 534 24. Jeep: 0.1% — 418 25. Mini: 0.1% — 307 26. Acura: 0.0% — 108 (Data Via Cox Automotive Q2 2026 EV sales)

📊 @Solana is the largest network by RWA holder count at 290,353, up 133.5% year-to-date Below is the breakdown by asset class and market share: 1) Stocks: 234.6K (80.8%) 2) Commodities: 27.2K (9.4%) 3) U.S. Treasury Debt: 8.9K (3.1%) 4) Specialty Finance: 8.1K (2.8%) 5) Asset-Backed Credit: 5.6K (1.9%) 6) Non-US Government Debt: 4.3K (1.5%) 7) Real Estate: 1.3K (0.5%) 8) Diversified Credit: 159 (0.1%) 9) Corporate Credit: 71 (0.02%) 10) Active Strategies: 27 (0.01%) 11) Private Equity: 20 (0.01%) 12) Cryptocurrencies: 12 (0.01%)

The US Bond Market (Bloomberg Agg) was down 2.6% in September. In the past 30 years, only 5 months had a worse return: 1) September 2022: -4.3% 2) April 2022: -3.8% 3) July 2003: -3.4% 4) August 2022: -2.8% 5) March 2022: -2.8% For the stock market, losing 2.6% in a month is a nonevent. But for the bond market, this is akin to a crash.

The models people choose. Past 7 days on Anuma: 1. grok-4.5 @xai 25.9% 2. claude-sonnet-5 @AnthropicAI 20.7% 3. gpt-5.6-luna @OpenAI 19.5% 4. claude-fable-5 @AnthropicAI 8.3% 5. kimi-k3 @Kimi_Moonshot 5.9% 6. kimi-k2.7-code @Kimi_Moonshot 3.4% One memory. Every model.

Last Sunday, I previewed caution on capex spenders & more optimism on their customers. This past wk, Mag7 (spenders) -5.8%, while Semi Index (customers) +1.2% with S&P -0.6%. This wk, we get earnings from four of the Mag7 for a more complete picture. Last week, WTI +8% and yields across the 2-30 yr curve increased by 9-15 bps, which was also a major issue for equity markets. De-escalation in Iran over the weekend should help both oil prices and yields during the start of this upcoming week. I continue to believe November 3rd mid-terms put a powerful impetus on the US administration to get oil prices down well before then. This is my current framework for AI investing: Positives: 1) The advent of Agentic AI on January 30th with the formalization of OpenClaw will drive 10-100x more token production. 2) Microprocessor vendors benefit in the move from 8 to 1 GPUs per CPU to ~unity in the move to Agentic AI. 3) The current philosophy of the hyperscalers that they cannot afford to lose the AI race keeps me more bullish on the recipients of that capex spend than the spenders. Negatives: 1) AI native revenues will be determined in the near-term by the trade-off between the top 1% of companies focusing on controlling their AI spend vs the ramp of the other 99% given the move from token maximization in March to token minimization by June. 2) Part of that control of AI spend will come at the expense of non-security software companies, IT services and headcount. 3) The cost of money is also more expensive which is a headwind to equity multiples. 11 of the major central banks have gone from cutting rates from roughly 2.7% in July of 2025 to 2.4% by early February to raising them to 2.6% today. At the same time, 10 year treasury yields across the 11 associated countries stayed flattish at roughly 3.2% from July of 2025 through February and has now risen to 3.8%. For megacap earnings this week, my belief is much like last week, ROIC (the interplay between capex and future EPS estimates) is likely to have an outsized impact on the near-term direction in stock prices. $META should have benefitted from increased engagement during the World Cup. But Meta revs grew 27% in Q3:25 vs 22% in Q2:25 creating tough comparisons for the Q3:26 guide. In addition, a potential launch of a public cloud and LLM API may embolden Meta to increase capex spend. Fortunately, valuation in the teens is low vs 22x CY26 PE for the S&P. $MSFT Azure has a high bar given Google GCP revs accelerated from +63% y/y in CQ1 to 82% in CQ2. But I wonder if the focus on AI cost control is an increasing tailwind for Co-Pilot. It operates natively within the Microsoft 365 ecosystem where enterprise work already happens. But Microsoft owns 27% of OpenAI which I remain negative on given they are caught between Google in consumer AI and Anthropic in enterprise. $AMZN AWS rev growth also has a high bar to clear due to GCP. In addition, higher oil prices are likely to be pressuring the logistics cost of their e-commerce business as well as consumer purchasing power. The shift of their 4 day Prime event to late June from early July should benefit Q2 but at the expense of Q3 guide. $AAPL is benefitting from the AI capex spend of others, especially their partner, Google. But I believe CQ3/CQ4 estimates are too high for both revenues and margins (due to rising semiconductor prices) and valuation at a 37x PE is expensive. From a longer-term perspective, I remain bullish on the potential upgrade cycle from a foldable phone with AI enabled Siri. Best of luck in the week ahead.

A TON OF THINGS HAPPENED IN THE STOCK MARKET TODAY. Here's a full recap: 1. Broadcom $AVGO said it has a “high degree of confidence” it will ship $350B of AI semiconductors over the next 2 years, even if all 30 GW of demand is not deployed because of land, power, and data center constraints. The company laid out a massive AI growth path, targeting AI semiconductor revenue of roughly $58B in FY26, $115B in FY27, and $230B in FY28 — a 4x increase in just 2 years. Broadcom said every 1 GW deployed by OpenAI or Anthropic could support about $30B in annual AI revenue, while AI networking revenue is expected to grow just as fast as its XPU business. In Q3’26, Broadcom reported revenue of $29.6B, beating estimates of $29.36B and up 86% YoY, with adjusted EPS of $3.32 versus $3.24 expected. AI semiconductor revenue surged 221% YoY to $16.7B, and Broadcom expects that to accelerate to $21.7B in Q4, up 236% YoY, while also targeting $30+ EPS in FY28. 2. Meta $META rolled out Muse Spark 1.3, saying the latest model delivers its biggest coding and agentic performance jump yet. Meta says Muse Spark 1.3 matches GPT-5.6 Sol on Terminal-Bench 2.1 with a score of 88.8 and reaches 75.4 on DeepSWE. The model is available now through Muse Code and the API. Zuckerberg also teased Watermelon and open weights coming next, signaling Meta is continuing to push aggressively on frontier coding agents and open AI distribution. 3. Nvidia-backed neocloud Nscale is telling prospective IPO investors it has roughly $103B in contracted revenue, up from $51B before its $45B compute deal with Anthropic, according to The Information. The contracts average 5.7 years, implying about $18B of future contracted revenue per year, though the figure is not current revenue or formal guidance and was described by one source as “illustrative.” Actual revenue is still much smaller but scaling quickly, rising from about $37M in Q1 2026 to more than $100M in Q2, excluding the Anthropic deal, as Nscale prepares for an IPO that could come as soon as this month. 4. HPE $HPE expanded its Oracle $ORCL AI data center deal, with HPE set to deploy Juniper networking gear across Oracle AI data centers globally under a potential multi-year agreement. The deal covers routing, switching, networking support, and financing for OCI’s AI clusters, regional data centers, and edge networks, while HPE also issued Oracle warrants to purchase HPE shares. Separately, HPE reported Q3’26 revenue of $12.2B, beating estimates of $11.91B and up 34% YoY, with adjusted EPS of $1.11 versus $0.93 expected. Networking revenue surged 74.9% YoY to $2.9B, while Cloud & AI revenue rose 25.4% YoY to $9.0B. HPE guided Q4 revenue to $13.9B–$14.8B, above the $12.96B estimate, raised FY26 guidance, and said AI is becoming a multi-year growth driver as record backlog supports the outlook. 5. Cantor Fitzgerald initiated Tempus $TEM at Overweight with an $80 price target, arguing the company is being mispriced as a traditional life sciences data vendor rather than an AI-powered platform business. The firm says Tempus’ Data & Applications segment has a stronger growth and margin profile than the market is giving it credit for, with 26% growth and 76% gross margins. Cantor believes the segment should be compared more closely to platform peers like $PLTR, $SNOW, $DDOG, and $RDDT rather than slower-growing data-vendor peers, creating a favorable upside risk/reward. 6. Google $GOOGL launched Gemini 3.8 Flash Cyber, a new cybersecurity-focused AI model that scored 86.2% on CyberGym and 47.2% on CWE-Bench. Google says the model has a 70%+ success rate identifying vulnerabilities across 20 programming languages and produced 2.6x more correct patches than larger models on real Chrome security bugs. Initial access is limited to government agencies and cybersecurity partners through Google’s Fairwind program. 7. The top 10 most active options today by contracts traded were $NVDA with 5.7M contracts, $TSLA with 2.8M contracts, $AAPL with 1.7M contracts, $META with 1.0M contracts, $MU with 959K contracts, $AMZN with 732K contracts, $PLTR with 675K contracts, $DELL with 633K contracts, $INTC with 557K contracts, and $GOOGL with 536K contracts. 8. JPMorgan says a 5% 10-year Treasury yield could be the level that starts to pressure stocks, with Grace Peters noting that “5% psychologically has an impact” and could trigger a knee-jerk equity selloff. She sees a potential 5%-8% correction into the midterms, but views that as a healthy pullback rather than a structural break. JPMorgan remains constructive on stocks longer term, with its thesis centered on a capex-driven earnings supercycle, while the key medium-term test for AI will be whether the spending translates into real returns. 9. Berenberg initiated Rocket Lab $RKLB at Buy with an $83 price target, implying about 29%-35% upside, calling it the only end-to-end public pure-play in space across launch, satellites, components, and spectrum. The firm says Rocket Lab has an effective monopoly in dedicated small-lift launch, is entering medium-lift with Neutron, and is benefiting from rapid growth in satellite manufacturing and components as space budgets hit records. Berenberg also said the Iridium acquisition adds scarce global spectrum and recurring applications revenue, while Rocket Lab’s vertical integration gives it long-term optionality not fully reflected in the stock’s valuation. While acknowledging execution risk and a high multiple, the firm called Rocket Lab one of the most compelling long-term assets in the space sector and said it would buy or add on volatility. 10. The 60+ day delinquency rate on U.S. subprime auto loans has climbed to roughly 5.2%, the highest level on record and more than double where it was four years ago. Serious subprime auto delinquencies are now about 1.7 percentage points above their 2008 financial crisis peak, while prime auto loan delinquencies have also risen to around 0.4%, near the highest level since 2011. At the same time, total U.S. auto debt increased by $28B in Q2 2026 to a record $1.71T. 11. Onchain tokenized equity holders have reached a record 1.9M, up 134% month-over-month and 1,360% year-to-date. Just 10 months ago, fewer than 100,000 people held tokenized assets, but demand for 24/7 markets and access to names tied to the record IPO wave, including SpaceX, OpenAI, and Anthropic, has accelerated adoption. Jupiter, the largest onchain trading platform on Solana, has driven much of the growth, with 61% of volume now happening during off-hours and active tokenized equity traders up 46% month-over-month. 12. Microsoft $MSFT will begin disclosing Azure revenue as part of a major FY27 reporting overhaul, shifting from three business segments to two: Agents & Infrastructure and Devices & Consumer. For Q1 FY27, Microsoft expects Azure growth of 44%-45% in constant currency, Agents & Infrastructure revenue of $75.15B-$75.75B, Devices & Consumer revenue of $14.7B-$15.2B, Microsoft 365 Commercial Cloud growth of about 17% in constant currency, and Search & Ads ex-TAC growth in the mid-to-high single digits. The new structure marks Microsoft’s biggest reporting change since adopting its prior three-segment model in FY2016. WALL STREET IS THE GREATEST SHOW ON EARTH.

A TON OF THINGS HAPPENED IN THE STOCK MARKET TODAY. Here's a full recap: 1. Palantir $PLTR and Nvidia $NVDA expanded their partnership to deliver sovereign AI for the U.S. government and critical infrastructure. The partnership combines Nvidia AI infrastructure and Nemotron models with Palantir’s platforms, allowing agencies to deploy models on proprietary data. Palantir CEO Alex Karp said: “Combining Palantir infrastructure with NVIDIA’s AI and Nemotron models will allow the U.S. government to unleash the full power of LLMs while removing the underlying security risks and rational concerns around proprietary insights migrating into the weights of closed models." 2. Rocket Lab $RKLB announced a definitive agreement to acquire Iridium $IRDM for $54/share in a cash-and-stock deal, implying an enterprise value of roughly $8B. This is a major move because it pushes Rocket Lab beyond space infrastructure and deeper into vertically integrated space communications with recurring, high-margin subscription revenue. Iridium adds a global satellite network, accelerates direct-to-device and space connectivity, and gives Rocket Lab the ability to design, build, launch, operate, and now monetize satellites through long-term communications services. 3. Robinhood $HOOD continues to show strong product momentum. Vlad Tenev, CEO, shared that Robinhood Banking has surpassed $3B in deposits and 200K customers, up from $1.6B and 110K at the end of March. Agentic trading has also seen 50K+ customers open accounts in its first few weeks, with millions of dollars traded daily across equities and options. Robinhood now has 50K+ funded custodial accounts just three months after launch, while 855K+ customers received allocation in the SpaceX IPO through IPO Access. 4. Hedge funds sold the most U.S. information technology equities in the week ending June 25 since Goldman’s data began in 2016, even more than during the August 2024 Nasdaq correction. Overall, hedge funds sold the most U.S. equities since the April 2025 “Liberation Day” selloff. Magnificent 7 exposure has also fallen to 14.5% of total U.S. hedge fund exposure, near a 3-year low, after dropping 7 percentage points since the start of 2026, the biggest six-month decline since the 2022 bear market. 5. Agility Robotics is going public via Churchill Capital Corp XI $CCXI in a deal valuing the humanoid robotics company at $2.5B pre-money. The transaction is expected to raise $620M+, including a $200M PIPE led by Foxconn, with the combined company set to trade as $AGLT. Agility says it has $300M+ in multi-year orders for its Digit v5 robot, with backers including Nvidia, Amazon, SoftBank, and Foxconn. 6. Google $GOOGL has reportedly capped Meta’s $META use of Gemini AI models due to computing capacity constraints, per Financial Times. The limits have affected some of Meta’s internal projects, with staff told to use AI tokens more efficiently. Meta had been using Gemini to automate safety workflows, but is now leaning more on its own Muse Spark model to reduce reliance on external AI models. 7. Micron $MU is now a top 10 holding in the S&P 500 with a 1.9% weighting, reflecting just how important memory has become in the AI trade. Meanwhile, Nvidia $NVDA has fallen from closer to 8.5% of the index to 6.99%, while Apple $AAPL has dropped from around 7.5% to 6.18%. 8. Anthropic reportedly renegotiated part of its Amazon deal, shifting Claude pricing from compute hours to token-based usage starting next year, per The Information. The change could raise $AMZN’s costs for using Claude across products like Alexa for Shopping, Kiro, and Quick. Amazon is now reportedly evaluating OpenAI and its own Nova models to reduce reliance on Anthropic. 9. The top 10 most active options today by contracts traded were $TSLA with 3.8M contracts, $NVDA with 2.9M contracts, $AMZN with 1.4M contracts, $AAPL with 1.1M contracts, $MSFT with 931K contracts, $MU with 767K contracts, $SPCX with 617K contracts, $INTC with 598K contracts, $MSTR with 533K contracts, and $GOOGL with 489K contracts. 10. ByteDance is targeting early next year to finalize the design of its next-gen in-house CPU for AI infrastructure, per SCMP. Mass production and broader deployment are expected in H2 2027, as ByteDance looks to support AI workloads across Doubao, Seedance, and other internal platforms. Qualcomm $QCOM is reportedly helping with development and foundry capacity. 11. South Korea unveiled a massive $576B+ AI and chip investment push, with Samsung and SK Hynix expected to invest around $518B. Suppliers will build two new chip fab sites each in southwest Korea, while the broader plan includes a $52.7B chip packaging cluster and a goal to double DRAM output within five years. 12. U.S. online spending across all retailers hit $26.4B during Amazon $AMZN Prime Day, topping Adobe’s $26.3B estimate. Spending rose 9.3% YoY, while BNPL accounted for 6.6% of orders. However, Numerator said average household spending on Amazon fell 8.3% to $143. WALL STREET IS THE GREATEST SHOW ON EARTH.

Top 10 networks by RWA active market cap and market share: 1) @Ethereum : $14.65B (58.4%) 2) @BNBCHAIN: $3.67B (14.6%) 3) @StellarOrg: $2.23B (8.9%) 4) @Solana: $2B (8%) 5) @Aptos: $847.9M (3.4%) 6) @avax: $494.7M (2%) 7) @Arbitrum: $331.5M (1.3%) 8) @Plasma: $303.3M (1.2%) 9) @SeiNetwork: $272.3M (1.1%) 10) @0xPolygon: $270.6M (1.1%) Note: RWA active market cap is calculated as onchain value actively exposed to market risk in the hands of users or protocols.