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01 / ModelsTrue, but
GPT-6 Sol costs less. Its benchmark score barely moved.
OpenAI ·
OpenAI released GPT-6 Sol and Luna priced at $2 and $10 per million input and output tokens for Sol, and $0.10 and $0.50 for Luna, about half of GPT-5.6 pricing. The launch leaned on a cost-and-mistakes pitch the same week Anthropic and Google both cut prices on their own models.
The reality check
Artificial Analysis found the price claim real: Sol's cost per task fell from $1.99 to $1.06 while its Intelligence Index score barely moved, 47 to 48. The fewer-mistakes claim also holds on hallucinations, which fell from 92% to 60% for Sol and 93% to 77% for Luna, even as some knowledge-work scores regressed.
Why care? The reported savings and lower hallucination rate are useful. A small change on one intelligence benchmark does not establish how either model will perform on your own tasks.
Take this with youBefore switching models, compare the cost of completing your own task, including checking and rework.
Open the evidence2 source pages +
The claim we checked
GPT-6 Sol and Luna offer lower cost and fewer mistakes than GPT-5.6 Sol and Luna
These are quoted receipts, not a count of independent investigations. Several reports may rely on the same original source.
One benchmark cannot establish a universal intelligence claim, and hallucination is not evidence of deliberate deception. Previously: The headline said the model was not smarter, and the takeaway said it lies less. Corrected: The headline now describes the small reported benchmark change, and the takeaway limits the conclusion to the tested measures.
Artificial Analysis results, reported by OfficeChai. Each metric uses its own scale; receipts in the story.
02 / SafetyHolds up
EvilTokens used an old sign-in trick, amplified by AI.
Ars Technica ·
Microsoft's Digital Crimes Unit disrupted EvilTokens, a subscription phishing kit sold on Telegram that stole Microsoft sign-in tokens through device-code phishing. Since launching in February, the service had compromised more than 12,000 email inboxes across over 10,000 organizations, and Microsoft seized 50 websites tied to the operation.
The reality check
Microsoft describes AI helping tailor phishing lures as well as analyze compromised inboxes and choose fraud targets. The account-access mechanism was device-code phishing, an existing sign-in abuse; describing that mechanism does not make AI's role in the wider attack disappear.
Why care? An AI-assisted attack can still exploit a familiar sign-in flow. Understanding how access was granted is more useful for choosing defenses than the AI label alone.
Take this with youTreat unexpected requests to enter a sign-in code as something to verify through a separate, trusted channel.
Open the evidence3 source pages +
The claim we checked
Microsoft disrupts AI-assisted platform that compromised 12,000 accounts
These are quoted receipts, not a count of independent investigations. Several reports may rely on the same original source.
This AI-powered cybercrime platform facilitated sophisticated business email compromise (BEC) campaigns that compromised more than 12,000 inboxes in over 10,000 organizations worldwide.
In short, AI was not simply helping attackers write more convincing messages. It helped them decide who to target, who to impersonate, and how to most effectively exploit the relationship to extract as much money as possible.
We drew an unsupported boundary between the phishing stage and later fraud. The actual claim says AI-assisted, which Microsoft's account supports. Previously: The ruling was True, but. The headline and check said AI ran the fraud but did not assist the break-in. Corrected: The ruling is Holds up. The check now includes Microsoft's description of AI tailoring the phishing lures as well as analyzing stolen inboxes.
Claude flagged an enzyme system. Its function is still unknown.
Anthropic ·
Anthropic opened a life sciences lab and said roughly 950 Claude agents spent 21 hours combing DNA databases before one flagged a repeat pattern beside a reverse transcriptase gene. The company calls the find a new enzyme system it named ART, with CRISPR-like repeats, and released it as a pre-print rather than a peer-reviewed paper.
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Although we don't yet know its function, the system that Claude discovered has a set of characteristics that have only ever been found together in a handful of other systems
This is an exciting example of how AI agents can contribute to biological discovery. The identification of RNA-repeat arrays associated with reverse transcriptases is genuinely intriguing and merits further investigation
Corrected the publication date and kept the explanation within what the primary source establishes. Previously: The Anthropic source receipts were dated September 22, and the copy was unclear about the unknown function and the status of Feng Zhang's comment. Corrected: The source receipts are dated September 23. The check distinguishes an unknown function, a preprint and a researcher's positive comment from an established application.
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04 / ProductsHolds up
Meta's new audio glasses have no camera. Other privacy questions remain.
Meta ·
Meta unveiled the Ray-Ban Meta Audio Glasses at Connect 2026, audio-only smart glasses with Meta AI, calls and music but no camera, weighing 43 grams and starting at $349. The launch responds to criticism that camera-equipped AI glasses let wearers secretly record people, a habit that earned them the nickname "pervert glasses."
The full story
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Open the evidence3 source pages +
The claim we checked
the Ray-Ban Meta Audio Glasses ship with no camera, weigh 43 grams and start at $349, addressing the backlash against camera-equipped AI glasses
These are quoted receipts, not a count of independent investigations. Several reports may rely on the same original source.
The cited hardware specifications support a camera claim, not a blanket privacy guarantee. Previously: The takeaway described removing the camera as the fix for the privacy complaint. Corrected: The takeaway distinguishes camera recording from the separate questions around audio and data handling.
The full explanation appears when your reading access is confirmed.
05 / MoneyTrue, but
Xiaomi's '$3M' top open model traces to one hedged tweet at $2.6M.
Latent Space / AINews ·
Xiaomi released MiMo-V2.6-Pro, a 1.02-trillion-parameter open-weights model that Artificial Analysis scored 46 on its Intelligence Index, the top mark among open models, alongside a smaller Flash version. A widely shared newsletter headlined the release as "trained for $3M," but the only sourced cost figure in that same report is $2.6 million, and it covers the reinforcement-learning run alone.
The full story
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Membership opens all currently available member reading. The source receipts and corrections stay open below.
First membership: 30 days free, then A$89 a year. One introductory trial per customer. Card required; renews annually until cancelled. Cancel before the trial ends to avoid the first charge.
Open the evidence2 source pages +
The claim we checked
MiMo-V2.6-Pro is Xiaomi's new top open-weights model, trained for $3M
These are quoted receipts, not a count of independent investigations. Several reports may rely on the same original source.
Artificial Analysis says MiMo-V2.6-Pro debuts as the top open-weights model on its Intelligence Index (46), with 1.02T total / 42B active parameters and strong cost efficiency at $0.435/M input and $0.87/M output tokens.
Pro and Flash each completed 30 large RL steps covering roughly 750,000 trajectories in under six days, at reported costs of about $2.62 million for Pro and $850,000 for Flash.
Different websites do not necessarily provide independent validation. Our source set cannot prove that no confirmation exists anywhere. Previously: The check called the second write-up independent reporting, and the takeaway said nobody had confirmed the narrower cost. Corrected: The check identifies two reports and states what these particular receipts do not establish.