Cathie Wood: AI Inference Costs Could Fall 99.99% Annually, Unlocking Era of 'Benign Deflation'

According to Yu Jin Monitoring, the largest short seller that opened a short position on Changxin Memory the day before its IPO closed all positions 10 hours ago. The address shorted at $6.5, held the position for two months before closing at $8.5, resulting in a total loss of $10.98 million, including $5.18 million in funding fee losses and $5.8 million in price fluctuation losses.

Beating AI Insight News Flash: After Jev’s launch, AWS, Cloudflare, and Databricks have all recently rolled out their own decision models. AWS introduced the open-source Strands Decider 2B, built on Qwen3.5-2B. It removes the text generation module, replaces it with a decision module dedicated to answer selection, and is fine-tuned via LoRA. Official tests show its median single decision latency on an RTX 3090 is approximately 115ms, with full training taking around 11 hours. Cloudflare released Clef and Clef-flash simultaneously, modified from Qwen3.8-27B and Qwen3.5-9B respectively, and both are fully open-source. In Cloudflare’s tests on Jev’s official evaluation set, the Clef series outperformed Jev in 3 out of 4 task categories; Clef-flash has a median latency of 38.8ms, compared to Jev’s 524.1ms. Databricks has integrated this capability directly into its platform. The newly launched ai_decide can be called via SQL or REST API, used for data classification, scoring, and agent routing, and its interface is fully compatible with TypeSafe AI API. The company notes a single decision returns in under one second. From developers’ own builds to follow-ups by AWS, Cloudflare, and Databricks, decision models are rapidly evolving from a new concept to a standard component in agent infrastructure.

Beating AI News Flash: Supabase Acquires Database Startup Turso Turso has re-implemented SQLite in Rust to build cloud databases that can be created at scale and on-demand. Supabase plans to leverage Turso to serve AI Agents, enabling each agent to quickly access an independent database. The acquisition targets the explosive growth in database volumes driven by AI Agents. Supabase states it currently creates over 1 million databases weekly, with approximately 70% of new databases originating from Agents or AI tools. Turso’s architecture allows a single server to manage millions of databases—loading them when needed and pausing them during idle periods—making it well-suited for the large number of small, on-demand Agent tasks. The two companies will not immediately merge their products. Supabase will continue development around Postgres, while Turso will remain focused on SQLite; existing databases, APIs, and workflows will stay unchanged, and Turso Database will continue to be open-source. Moving forward, the pair will gradually integrate their offerings: small Agent tasks will initially use Turso, and as demand scales, they will transition to Supabase’s Postgres ecosystem. Turso founder Glauber Costa will join Supabase to lead Agent-related services. The acquisition terms were not disclosed.

Beating AI Express News: Microsoft has rolled out three audio models in one go: MAI-Transcribe-2-Streaming, MAI-Voice-2.1, and MAI-Voice-2.1-Flash. The first is designed for real-time speech-to-text, while the latter two handle text-to-speech, primarily targeting low-latency voice agents. MAI-Transcribe-2-Streaming can output text continuously before a speaker finishes talking, supporting 60 languages and automatic language detection. Per Artificial Analysis’ streaming speech-to-text leaderboard, it ranks first in both final transcription accuracy and first partial transcription accuracy, with a word error rate (WER) of 2.5%. The final text is returned approximately 0.13 seconds after the speaker concludes, compared to Grok Voice Transcribe 2.0’s 2.7% WER and 0.49-second latency. MAI-Voice-2.1 supports 23 languages, enabling the same voice to switch between different languages. The Flash version is optimized for low latency, with model inference taking around 45ms and priced at $15 per million characters; the standard version has ~550ms latency and costs $22 per million characters. Both models support voice matching via a short reference audio clip. This suite addresses the waiting issue that most impacts voice agent user experience. The system can initiate transcription and inference while the user is still speaking, then use the Flash model to quickly generate voice responses, eliminating the need to wait for a full sentence to end before starting operations.

According to monitoring by YuEmber, whale/institutional address E3M...9Cs profited $1.36 million (+34%) by selling privately placed PUMP tokens. The entity secured 1 billion PUMP tokens via a private placement last July for $4 million, at a per-token cost of $0.004. Five hours ago today, it transferred all 1 billion PUMP tokens (valued at $5.36 million) to Coinbase Prime, with the transfer price reaching $0.0054 per token.

Canary filed an S-1 amendment for its Canary PEPE ETF with the U.S. Securities and Exchange Commission (SEC) on October 2. The filing shows the ETF intends to list on Cboe BZX, with an investment objective of providing price exposure to PEPE held in trust, net of operating expenses and other liabilities. The fund’s net asset value will be based on the 60-minute New York price of the CoinDesk PEPE benchmark rate.