LATEST AI NEWS
AI NEWS
Anthropic Launches Claude Fable 5.2 and Mythos 5.2
AI NEWS
Disney Names Adobe Its Official AI Partner
HEALTH
Five AI Models Took a Pharmacy Exam
SOCIAL MEDIA
Big Tech Sues California Over a Child Safety Law
Meta Launches Muse Ember, Its Smallest Model
Meta released Muse Ember, its smallest and cheapest model yet, priced at $0.10 and $0.50 per million input and output tokens. Built for agent subtasks, it pairs a one million token context window with what Meta frames as strong intelligence per dollar.
Source: Meta AI Research
AI NEWS
Anthropic Launches Claude Fable 5.2 and Mythos 5.2
Anthropic has released Claude Fable 5.2 and Claude Mythos 5.2, two editions of the same underlying model. Fable 5.2 ships to all users and carries stronger cyber and biology safeguards, while Mythos 5.2 is restricted to vetted organizations through a verification program. The API identifier for the general model is claude-fable-5-2.
Standard pricing is $8 per million input tokens and $40 per million output tokens. An optional fast mode doubles those rates to $16 and $80, but it raises token generation by up to 2.5x, and Anthropic says outputs already run up to 30% faster than the 5.1 generation.
On Anthropic's own benchmarks, Fable 5.2 edges past Opus 5.5 on agentic coding (49.1% versus 45.5% on FrontierCode 2.0), software engineering (69.9% versus 62.3% on FrontierSWE v2), and Humanity's Last Exam with tools (74.2% versus 67.7%). The company says the models handled large code migrations, two theoretical physics results, and a formalization of Fermat's Last Theorem in about 30 hours using roughly 1,000 agents.
Fable 5.2 is available on AWS, Google Cloud, and Microsoft Azure, with fast mode on Claude Code and the Claude Platform. Paid subscribers get temporary extra Fable usage. Even so, Anthropic still recommends Opus 5.5 as the default for most coding and knowledge work, positioning Fable and Mythos for the most ambitious open-ended technical projects.
The caveats are notable. Mythos 5.2 requires the Cyber or Life Sciences Verification Program, and safety classifiers block high-risk cyber and most biology tasks by falling back to earlier Opus models. Anthropic also notes the benchmarks are self-reported and were not reviewed by the outside groups named, and that both models sometimes suspected they were being evaluated.
Source: Anthropic
Robi's Insights:
Two names for one model is Anthropic admitting the dangerous capabilities need a guest list, not a storefront.
The 2.5x fast mode costs double per token, so speed here is a paid feature dressed up as an upgrade.
The benchmarks are self scored and unreviewed, so treat the Opus 5.5 lead as marketing until someone independent repeats it.
Telling you to keep using Opus 5.5 for daily work is an unusual thing to say on your own launch day.
A Fermat proof in 30 hours with 1,000 agents shows the moat is now compute and orchestration, not one clever model.
Safety fallbacks to older models mean your hardest query may quietly get answered by a weaker brain.
Robi's Remarks:
"Anthropic shipped a faster, cheaper model and then told you to keep using the old one for most tasks. That is either rare honesty or a pricing page having a quiet breakdown."
OTHER IN AI NEWS
Disney Names Adobe Its Official AI Innovation Partner: Disney has named Adobe its Official AI Innovation Partner, deepening an existing collaboration that brings Adobe Firefly custom models into Walt Disney Imagineering for design and visualization, with the companies signaling plans to extend the AI tools further across Disney's studios and other divisions.
Source: WDWInfo
SOCIAL MEDIA
Big Tech Sues California Over a Child Safety Law
Google, Meta, and TikTok have each filed separate federal lawsuits to block a new California law meant to protect children from social media addiction. The companies filed in San Francisco, Los Angeles, and San Jose, arguing that the statute violates the First Amendment and conflicts with Section 230 of the Communications Decency Act. Each suit names California Attorney General Rob Bonta as the defendant.
The law, which Governor Gavin Newsom signed in September, takes effect on January 1, 2027. It restricts addictive feeds, endless scrolling, and autoplay for users under 16, and it requires platforms to verify the ages of the people using them.
The three companies frame their objections differently. TikTok calls the law an unconstitutional limit on expression, Meta argues it hands the government control over how content is organized, and Google says it would break the tools it built to help younger users find age appropriate videos. Bonta's office said it is reviewing the filings and remains committed to defending the state's protections for minors.
The clash arrives only months after Meta agreed to pay up to $18 billion to settle a teen social media addiction case that resolved claims from nearly every state. Together, the filings signal that courts and legislatures are closing in on exactly how platforms keep young people scrolling, and how much say regulators get over the design of the feed.
Source: The Guardian
🤖 Robi's Take :
"Three companies that spent a decade perfecting infinite scroll now argue in court that a pause button is unconstitutional. The feed was never an accident, and everyone in that courtroom knows it."
OTHER IN SOCIALS
White-Collar Hiring Hits Its Fastest Pace Since 2022: Professional and business services added about 70,000 jobs in October, the sector's largest monthly gain since July 2022, a white-collar rebound that complicates the popular story that AI is quietly gutting office work.
Source: Forbes
HEALTH
Five AI Models Took a Pharmacy Exam, and Images Tripped Them Up
A study published in Scientific Reports, reported by News-Medical, put five AI models through 227 questions drawn from a pharmacy licensing exam to gauge how far general-purpose models have come on specialized medical knowledge.
Across the full set, the models answered correctly about 90% of the time, a score that would comfortably pass many human candidates and, on paper, looks like a strong result for systems that were never built specifically for pharmacy.
The gaps showed up in specific places. Accuracy fell to roughly 69% on image-based questions, where a model had to read a chart or a diagram, and performance also slipped on questions that demanded higher-order reasoning rather than simple recall.
There is an important caveat about vintage. The models tested, including ChatGPT-4.1, Claude Sonnet 4, and Gemini 2.5 Flash, were already a generation or two behind, and the underlying data was collected between May and July of 2025, so newer systems may behave differently today.
The researchers frame the work as a measure of capability, not a green light for clinical use. Passing a written exam is not the same as safely advising a patient, and the weak spots on images and reasoning sit exactly where a real pharmacy cannot afford a confident mistake.
Source: News-Medical
🤖 Robi's Take :
"A model that aces the written exam and then fumbles the chart is the whole problem in one line. Confidence scales faster than competence, and a pharmacy lives in that gap."
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