AI Stocks Worth Watching — Sept 17
MarketBeat published a list of AI-related stocks to watch on September 17, offering investors a market-tracking roundup without specific trading recommendations.
Models, products and AI startups, near-duplicates collapsed to the most credible source
MarketBeat published a list of AI-related stocks to watch on September 17, offering investors a market-tracking roundup without specific trading recommendations.
Anthropic has resumed external cybersecurity testing, prompting debate over whether this step sufficiently addresses model security and risk assessment.
A practitioner reports feeding XGBoost the same information available to a human market but getting crushed on Top-1 accuracy and trailing about 10 percentage points on Top-2. Adding market pricing hurt or didn't help. They ask whether this reflects XGBoost's limits, encoding issues, or insufficient data.
Associate Attorney General Stanley Woodward said the US is considering updating interagency antitrust guidance on cybersecurity to address new threats posed by AI, signaling regulatory focus on AI-competition intersections.
New York is soliciting whistle-blower reports about AI systems’ misbehavior or misuse to strengthen oversight and accountability, according to The New York Times.
Rep. Pramila Jayapal held a congressional hearing on harms from surveillance AI and Big Tech market dominance. Witnesses included a former Meta whistleblower and affected family members; Jayapal signaled forthcoming legislation to address oligopoly control and surveillance risks.
People familiar say SpaceX has discussed buying customer and operational data from troubled or defunct startups to obtain cheaper data for its AI models, reflecting cost and sourcing considerations for model training.
A Hacker News discussion argues that using LLMs as classifiers is feature engineering: treat LLM outputs as features and train conventional models (e.g., logistic regression) on them for more stable classification.
Palantir CEO Alex Karp told CNBC that AI needs enforceable “reasonable guidelines,” advocated civil and criminal liability for builders of harmful tech, and suggested potential nationalization of AI labs to manage risks.
A Hacker News thread suggests OpenAI's Misalignment Framework may be a tactical move to preempt global AI governance, sparking debate over the framework's motives and regulatory implications.
Nvidia CEO Jensen Huang expects to sell twice as many chips next year, citing AI adoption across industries and signaling strong demand growth for AI-driven semiconductors.
OpenAI President Greg Brockman expressed optimism about navigating AI development while stressing the need for seriousness, comments coming in the wake of the Hugging Face hacking incident.
WNYC reported that the New York City Council expressed alarm over apocalyptic scenarios related to artificial intelligence, showing local government concern about AI risks.
National Review published an opinion arguing that China wants America to fear AI and that Congress should not encourage that fear, framing the issue as a political stance on AI rhetoric.
A Reddit user on r/LocalLLaMA asked whether people use uncensored models for everyday coding, suggesting uncensored models might skip safety checks and produce code faster. The poster requested anecdotal evidence or sources and clarified they meant legitimate daily development, not misuse.
Reuters reported that US Senator Mark Warner urged swift action on AI guardrails, saying “I'm not a doomer” while arguing for prompt regulatory measures.
Rice University will launch a 30-credit, three-semester Master of Artificial Intelligence (MAI) in fall 2027 for students with CS backgrounds. The professional degree focuses on building and deploying AI systems and will begin accepting applications this fall.
The University of Chicago will launch a nine-month MS in Applied Artificial Intelligence in fall 2027 for technically experienced students, covering foundations, advanced architectures, AI safety/governance and practical applications.
A Pew survey of 42,151 people across 37 countries found that in 34 countries people are more likely to say AI will cause job losses over the next 20 years. Concern is higher in wealthier countries, with Australia and South Korea at 76% and the US at 71%.
Microsoft AI CEO Mustafa Suleyman discussed the company’s 37‑page “Humanist AI Code of Conduct” and publicly criticized Anthropic’s views on AI consciousness and model welfare, saying they worsen the safety debate. It highlights Microsoft’s stance on AI development and regulation.
TechCrunch says startups must book Expo tables by Sept. 18, 11:59 p.m. PT to exhibit at Disrupt 2026 (Oct. 13–15, Moscone West). The event expects 10,000+ attendees; each table package includes 10 team passes and branding, enabling demos, lead generation and investor meetings.
Clemson University will hold a Law and Society Symposium (Sept. 22–24) on “Who owns my creative work in the age of AI,” covering copyright, labor and AI applications. Keynote speakers include Matthew Sag, Jeremy Sheff and Micaela Mantegna; the event is free and open to the public.
Instinct introduced Instinct Concierge to place calls for tasks like restaurant bookings and cancellations; Meta’s Muse also gained the ability to call U.S. businesses. Both features are rolling out in early access, narrowing differences among text-based AI assistants.
A market report forecasts high-bandwidth memory (HBM) for AI will grow at a 25.2% CAGR, indicating strong growth potential for HBM in AI applications.
A LocalLLaMA Reddit post discusses techniques for keeping vLLM's prefix cache warm between agent turns to improve response performance, aimed at optimizing open-source model deployments.
The Problem Solvers Caucus announced a bipartisan Working Group on Artificial Intelligence and Evolving Technologies, led by Mike Lawler and Josh Gottheimer. It aims to craft practical guardrails that protect consumers, workers and national security while supporting U.S. AI competitiveness; members were listed in the release.
CleanSpark plans to raise roughly $2.23 billion via a junk-bond offering to fund AI infrastructure tied to Meta. The sizable debt raise shows the company is using market borrowing to expand AI hardware deployments connected to Meta.
A Hacker News post describes using Gemini 3.1 Pro to label 4,290 Reddit comments, then fine‑tuning GLiNER large v2.5 (459M) to reach 0.83 F1. Labeling cost about $9 and GPU about $2.50; training ran on a Tesla T4.
A Hacker News thread invites engineers to share their AI setups—agents used, tools kept or discarded, and how they handle long-running tasks—to learn from others' practices.
A NYT piece highlights growing public attention to claims that AI could be existentially dangerous, citing resignations and warnings from people at Anthropic and OpenAI. It notes recent AI advances (e.g., work on the Navier‑Stokes problem) alongside misuse risks, including a reported case of Claude being used to study a virus. The article stresses capability gains and safety concerns coexisting.