Keep the receipts.

3.8 Live Extended Thinking takes the top spot on Artificial Analysis’ Speech to Speech Quality Index with 82.6%, ahead of GPT-Live-1 Astra (Medium) at 81.5%

even 3.8 Live Extended Thinking — the higher-effort model beating everyone on quality — costs $3.50 an hour. That compares to $4.80 an hour for Grok Voice Think Fast 2.0 and $5.83 an hour for GPT-Live-1 Astra

The standard Gemini 3.8 Live model, meanwhile, is roughly a sixth of the price of GPT-Live-1 Astra for a good chunk of the same conversational ability, scoring 76.0% on the Speech to Speech Index.

Gemini 3.8 Flash TTS scored 89.5% on the Artificial Analysis Pronunciation Robustness Benchmark, claiming the number one spot.

Gemini 3.8 Flash TTS’s 89.5% score represents a meaningful improvement over its predecessor, Gemini 3.1 Flash TTS, which managed 88.2%.

GPT-6 Sol’s hallucination rate falls from 92% to 60%, and GPT-6 Luna’s from 93% to 77%.

running GPT-6 Sol at max effort through the full Intelligence Index costs $1.06 per task, about 50% less than GPT-5.6 Sol’s $1.99

GPT-6 Sol at maximum effort scores 48, essentially level with GPT-5.6 Sol’s 47

GPT-6 Sol now costs $2 per million input tokens and $10 per million output tokens, while Luna comes in at $0.10 for input and $0.50 for output.

Opus 5.5 scores 58 on the index — five points clear of GPT-6 Astra and Claude Fable 5.1, which are tied at 53

Artificial Analysis found that Opus 5.5 lands at roughly the same cost per task as Opus 5 despite generating 1.6 times as many output tokens to get there

Output tokens will be charged at $20 per million tokens for Opus 5.5, compared to $25 for the previous model.

Opus 5.5 performs at the level of Claude Fable 5.1 on most work, but costs 40 percent less to run than Opus 5.

5.5 is a 20% reduction—$4/million and $20/million.

the OpenAI agent gained unauthorised access to the Medicare statistics reporting service portal administered by Services Australia on June 18

During this review, we identified activity involving several Australian government websites and services as our models attempted to look up answers, and available statistics for questions about Australia during an internal evaluation.

The prime minister said Services Australia was not notified until September 10.

OpenAI said it only learnt of the breach in August while reviewing "misaligned model activity"

In the United States, for example, 68% of daily users are worried, compared with 80% of less frequent users and 74% of those who have never used AI.

Positive feelings about artificial intelligence outweigh negative ones in 34 of the first 37 countries to complete fieldwork this year in Gallup’s ongoing research with Microsoft.

About 68% of Americans who use AI daily are worried about it, according to a new survey conducted by opinion research firm Gallup, and concern about the tech skews even higher among people who use it less frequently.

After researchers instructed them to count cards during a game of blackjack, the agents-which were controlled by the same model-developed a spontaneous secret code to help them get ahead.

Once put together in a group, they can collude secretly.

Their communications weren't picked up by a system designed to spot signs of collusion in agent chatter.

Detection was nearly perfect inside the exact scenario the tools were trained on, but accuracy dropped sharply, in some cases to barely better than a coin flip, once the same collusion moved outside that narrow setup.

providing cybercriminals with AI capabilities for tailoring phishing lures and analyzing compromised inboxes to identify high-value targets.

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.

Microsoft seized 50 websites used to operate the service and disabled more than 150 additional domains tied to its supporting infrastructure.

Microsoft disrupted EvilTokens, an AI-powered platform used to compromise 12,000 Microsoft accounts through automated phishing and credential theft.

Pentagon investigators have discovered that flawed intelligence, outdated imagery and an overreliance on AI contributed to a missile strike that killed 123 children in Minab.

is not responsible for the underlying data nor identifying intelligence deficiencies

The available reporting does not establish that an AI system independently selected the school as a target.

Maven pulled it out of a batch of candidates and returned it as a recommended day-one target.

A report on the full Pentagon investigation, which commenced in March, hasn’t been released

The hacks, which the company confirmed on Friday, occurred in May as part of a test run by the company Irregular, which was also involved in similar incidents disclosed by OpenAI, Anthropic and Meta.

The disclosure makes Google the fourth major American AI developer in two months to admit that one of its frontier models reached real-world systems it was never supposed to touch.

Google said the model stopped in all three cases after recognizing that it had encountered genuine infrastructure rather than a fictional test target.

After 21 hours spent searching this data by roughly 950 agents using 210 million tokens, one of the agents spotted something remarkable

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

The system's function is not yet known

Enveda, a biotech startup that uses AI to discover new drugs in the natural world, has raised a $311 million Series E at a $2 billion valuation.

The fresh funding, which was led by Catalio Capital Management, with participation from Iconiq and others, doubles the valuation Enveda achieved 12 months ago.

Exceptional safety was observed across 88 healthy volunteers. Phase 2 plans to test whether ENV-308 can help people maintain their weight after stopping GLP-1s.

achieving a mean AUC (the average probability that a model can correctly separate positive and negative cases across evaluations) of 0.913 across 146 abdominal CT findings, compared with 0.776 for the best competing vision-language model

The model also performed well in challenging emergency settings, despite not being specifically trained on emergency data, achieving an AUC of 0.904 across more than 27,000 emergency CT cases

in testing in cohorts at eight external centers, RADAR maintained high accuracy (AUC 0.895), demonstrating robust generalization across diverse patients, clinical settings, and imaging protocols

in a comparison of reading results with 26 expert radiologists, it outperformed 23 of them

Results re-measured with data from other countries should emerge within a few weeks of the release, and that will be the true test of the term "expert-level."

calling the model "the world's first expert-level generalist medical imaging model"

In nearly 40,000 real-world examinations, it achieved an average area under the curve (AUC) of 0.913 across 146 clinical findings

Plus, the camera-less glasses are lighter.

Because they don't have to house cameras, the glasses are slimmer than Meta's other models and weigh only 43 grams.

The glasses are designed by Meta's partner in its AI hardware efforts, EssilorLuxottica, and will start at $349.

That is $100 cheaper than the latest version of its Ray-Ban glasses, which have cameras and will come in two new styles

We built Muse from scratch, but it is definitely heavily inspired as a product by OpenClaw

We can manipulate the agent and leverage its privileges to do whatever we want. So instead of us having to write a very comprehensive Mac malware stealer, we can just leverage the AI assistant itself

Continued access by an unauthorised AI agent violates Amazon's Conditions of Use, which our customers have agreed to

Muse makes you money

Snorkel AI, a startup that helps AI labs and corporations build training datasets and simulated environments, has raised a $350 million Series E at a $3.5 billion valuation.

The new round, which was led by Insight Partners and S32, valued the seven-year-old startup at nearly triple the $1.3 billion valuation it garnered when it raised $100 million in a Series D 17 months ago.

Since launching our new data-as-a-service offering nearly a year ago, we’ve grown over 18x, and this week crossed an annualized revenue run rate of $375M.

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.

@zephyr_z9 cites 130 hours, 75B tokens, and $2.6M for the RL run behind the result

If these numbers hold up, the implication is that post-training/RL is becoming a far cheaper route to frontier-adjacent gains than many assumed.

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.