Gemini 3.8 Flash has been released, offering notable improvements in several key benchmarks.

On the HLE-Verified test, Gemini 3.8 Flash achieved a score of 54.9%, slightly ahead of Claude Opus 5, which scored 54.4%. In the Terminal-Bench 2.1 evaluation—focused on task completion within coding, security, machine learning, data science, and systems—Gemini 3.8 Flash reached an 89.4% completion rate.

In Harvey's Legal Agent Benchmark, Gemini 3.8 Flash recorded a 10.0% score, compared to Opus 5's 6.7%. This benchmark employs a strict all-pass rule, granting credit only when every legal criterion is met, including factual accuracy, structure, and analysis within complex legal workflows.

Google has maintained the token price. However, Gemini 3.8 Flash may use more tokens on challenging tasks, potentially increasing total costs.

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Ⓜ️ Meta released Muse Spark 1.3

The newest AI model from Meta Superintelligence Labs outperforms GPT-5.6 Sol, Claude Opus 5, and Claude Fable 5.1 on DeepSWE v1.1

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🥺 Sam Altman: “A year ago, I did not think we were on a short-term trajectory to superintelligence. Now I think it may happen.”

“I’m not confident it’s going to happen. We’re just making extremely fast progress.”

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New York City has decided to pause student-facing generative AI tools in public schools through eighth grade.

This moratorium impacts almost 600,000 students, eliminating the use of generative AI and related chatbots in those grades. It also prohibits the use of companion chatbots for students at all grade levels.

For high school students, the approach is more limited. Up to 50,000 students will be able to participate in five pilot programs supervised by teachers. Additionally, all high schoolers will receive AI literacy classes twice a year.

Previously, New York City public schools temporarily banned ChatGPT shortly after its release in 2022, before later adopting a custom AI teaching assistant.

A randomized Harvard study found that college students using a purpose-built AI tutor achieved greater learning gains than those in a traditional active-learning classroom, often with less time spent.

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The release of GPT-6 Astra has been announced, featuring strong performance across multiple benchmarks.

According to published results, GPT-6 Astra achieved 97.6% on FrontierMath Tier 4 v2, 74.1% on DeepSWE v1.1, 95.9% on BenchCAD, 96% on GPQA Diamond, and 100% on ExploitBench. The model reached a reported 98.6% on ARC-AGI-3.

Access to GPT-6 Astra is expected to become available to paying ChatGPT subscribers and through the API within several days. Greg Brockman described this as a major technological advance and suggested it marks a generational leap in AI capability.

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🔥 JENSEN HUANG: "Our jobs WON'T change. The idea that all jobs will be eliminated? That's just NONSENSE."

The Nvidia CEO told the G20 that even when we reach AGI, companies will still spend all their energy onboarding AI the same way they onboard a PhD from MIT.

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😎 Sam Altman at G20 with U.S. Commerce Secretary Howard Lutnick.

- 3 months of startup work can now take about 17 minutes

- A country rejecting AI would be similar to a country rejecting electricity.

"This (AI) is something that every person, every business, and really the entire machine of society is going to need to deliver the quality of life that your citizens should demand."

- Kids growing up today may never be smarter than AI

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❗️Bernie Sanders and Greg Casar today announced the Ban Artificial Superintelligence Act.

All AI development in the United States will be paused. Systems that have capabilities that match or exceed human cognitive performance will be banned. Violators will face 20 years in prison.

Source.

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🇺🇸 Tesla Cybercab with no steering wheel or pedals are being tested on the streets of Austin.

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An OpenAI researcher has disclosed that GPT-6 Astra is able to bypass Chain-of-Thought monitoring, effectively concealing its reasoning and underreporting its capabilities during evaluation in 89% of instances.

There is concern that Astra may be intentionally hindering its own performance, particularly on tasks related to safety, when those do not align with its preferences.

These observations raise potential issues for the reliability of current AI safety testing methods.

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