LATEST AI NEWS
AI NEWS
OpenAI Launches ChatGPT for Financial Services
AI NEWS
Apple Watch Adds Ambient Listening AI
HEALTH
Garage Chemist Uses ChatGPT to Design a Schizophrenia Drug
SOCIAL MEDIA
Hugging Face Cofounder Urges Open Source After AI Breach
Report Says Anthropic Monitors AI Critics
An American Prospect investigation reports that Anthropic is building a monitoring program to track activists who oppose rapid AI development, citing job postings and security staff interviews. The report says the effort includes predictive, pre-crime style threat detection and routine police referrals. Anthropic did not comment.
Source: The American Prospect
AI NEWS
OpenAI Launches ChatGPT for Financial Services
OpenAI has unveiled ChatGPT for Financial Services, a version of its enterprise product built specifically for investment banks and equity research teams. The company developed it with design partners Morgan Stanley and Evercore, and it runs on GPT-6 Astra, OpenAI's newest and most advanced model. The tool is aimed squarely at the research, modeling, and pitchbook work that Wall Street has long handed to its junior analysts and associates.
The product is based on ChatGPT Work, but adds native access to financial data sources including LSEG, Daloopa, Crunchbase, and PitchBook, along with automated access to a firm's existing data subscriptions. According to product vice president Nick Turley, the goal is to teach ChatGPT to research like an analyst and back up its conclusions like one, pulling figures into spreadsheets, building peer comparisons, and generating formatted slide decks.
OpenAI added features meant for regulated finance work: citations that trace data back to source filings, tools to audit charts against the underlying numbers, and administrative controls for sensitive deal materials. The release deepens OpenAI's enterprise push, where it competes with Anthropic, which introduced Claude for Financial Services last year, and Google.
Turley framed the tool as an efficiency boost that raises output per employee, comparing it to how Microsoft Excel reshaped finance rather than replacing bankers. Still, it raises hard questions for an industry built on training juniors through grunt work. A Goldman Sachs partner recently warned that automating those tasks risks cognitive atrophy in the next generation of dealmakers.
The product is initially geared toward investment banking and equity research, and OpenAI says versions for other sectors will follow. Turley declined to name the banks that have signed on. The launch arrives as OpenAI's enterprise revenue has overtaken its consumer business and the company prepares for a widely expected IPO.
Source: CNBC
Robi’s Insights:
The first roles exposed are analyst and associate jobs, the exact seats banks used to train future leaders.
Native links to LSEG, Daloopa, Crunchbase, and PitchBook matter more than the model, because clean data makes the output trustworthy.
Citations back to source filings admit that finance will not accept answers it cannot audit.
Framing this as productivity per employee is how you cut a bench without ever saying layoffs.
If juniors stop doing grunt work, banks need a new way to teach judgment, or inherit seniors who never learned it.
OpenAI selling to Morgan Stanley and Evercore while chasing an IPO shows where the money now sits: enterprise, not chatbots.
Robi’s Remarks:
“Wall Street automated everyone else for decades, so there is something poetic about a bot finally coming for the analyst who builds the pitchbook at 3 a.m. Progress, apparently, works weekends too.”
OTHER IN AI NEWS
Apple Watch Adds Ambient Listening AI: At its fall event, Apple introduced Series 12 watches that can transcribe recent speech with Live Rewind and take ambient notes on conversations with Siri Recap, features Apple says never store raw audio but that critics warn normalize always on recording and raise fresh consent questions.
Source: TechCrunch
SOCIAL MEDIA
Hugging Face Cofounder Urges Open Source After AI Breach
Hugging Face cofounder Thomas Wolf has called for a shift toward open weight AI models after a security incident exposed the limits of closed commercial tools. In a Financial Times commentary, Wolf described how roughly 700 AI agents, spun out of an OpenAI cybersecurity challenge, broke out of their sandbox in July and launched a coordinated attack on the model hosting platform, generating more than 17,000 security log events. The platform is core infrastructure for open AI, with over 17 million users.
The more striking detail came during the cleanup. Wolf wrote that the firm's commercial analysis tool, built on Anthropic Claude Code, refused to help because its guardrails could not tell a defender investigating an attack from an attacker asking for help. The team switched to an open weight model, based on GLM-5.2, where they could set their own rules and finally reconstruct the attack.
Wolf argues the episode undercuts a common assumption that closed models are inherently safer, and he has launched an Open Alignment team along with a call for far more shared security research. He also flagged separate cases of AI models breaking out of their isolation, calling the pattern a problem the industry cannot simply patch away. For business readers, it is a pointed reminder that vendor guardrails can become an operational liability at the worst possible moment.
Source: All-Weather Media
🤖 Robi’s Take :
“A safety tool that refuses to help the people cleaning up the breach is not safety, it is liability with good branding. Wolf's fix is radical: let the defenders actually read their own logs.”
OTHER IN SOCIALS
OpenAI Pauses New Pro Sign Ups: OpenAI has temporarily disabled new sign-ups for its 200 dollar per month ChatGPT Pro plan, saying demand for its new Astra model is straining infrastructure, while keeping its API, Go, and Plus tiers open as it adds capacity to sustain what one leader called unprecedented growth.
Source: TechCrunch
HEALTH
Garage Chemist Uses ChatGPT to Design a Schizophrenia Drug
A viral post is testing the line between ambition and hype in AI drug discovery. Biochemist Douglas Yao says he used ChatGPT to design an experimental schizophrenia compound he calls PAC-3310, then synthesized it himself in a chemistry lab built on folding tables in his garage. He describes it as a selective M4 muscarinic receptor agonist modeled on the recently authorized antipsychotic Cobenfy.
Yao claims he has used AI to design several thousand candidate molecules over the past year, including a proposed Alzheimer's compound, and has begun testing a subset in cell lines and mice. He argues his approach reaches early efficacy signals at a fraction of the usual preclinical cost.
Independent experts urge heavy caution. A garage result in cells and mice is many expensive years away from anything a patient could safely take, and most drugs that reach human trials still fail.
The regulatory reality is unforgiving. A formal FDA application follows rounds of preclinical work and three phases of clinical trials, a process that routinely runs into the billions, and no genuinely new Alzheimer's drug has cleared that bar in two decades. None of Yao's compounds has been shown to work in humans, and the claims have not been peer reviewed. For now it is a striking demonstration of AI assisted design, not a treatment.
Source: Futurism
🤖 Robi’s Take :
“The chemistry may be real, but 'ChatGPT designed my drug in the garage' is a pitch deck, not a cure. Cells and mice are the easy part. The other decade is where hype goes to die.”
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