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Most tools in this space are the same base model with a system prompt on top, nothing wrong with that, just worth being upfront about it.
iXo is built the same way, on leading frontier models, with one deliberate design choice: instead of one-shot prompting, it runs a structured, ongoing intake across separate life domains, work, finances, health, relationships, building a persistent context model, then reasoning across that instead of a single prompt window.
Practical effect: it surfaces the actual cause behind a problem, not just a plausible-sounding answer, a symptom in one area (say, focus at work) traced back to its real cause in another (say, sleep). No diagnosis, no decisions made for you, it surfaces the connection, you decide what to do with it.
TRY NOW
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Google has released Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking, targeting real-time voice agents rather than traditional text-based interactions.
Gemini 3.8 Live reportedly reaches frontier-level performance at around $0.84 per hour, while delivering a higher composite score than GPT-Realtime-2 High at roughly 80% lower measured cost.
Both models are multimodal: voice is the main interface, but they can also process visual information during a conversation and automatically switch between 97 supported languages.
The biggest difference comes with Extended Thinking.
It scores 68.6% on Ο-Voice, narrowly ahead of GPT-Live-1 Astra Medium at 67.9%.
Ο-Voice isnβt simply testing whether an AI sounds natural. It measures whether a voice agent can actually complete complex, multi-step customer-service tasks while following policies, using tools correctly and reaching the right outcome across airline, retail and telecom scenarios.
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Daniela Amodei, Dario Amodei, Tom Brown, Jack Clark, Jared Kaplan and Sam McCandlish are now worth $93B combined.
Forbes estimates each owns around 1.6% of Anthropic, which was valued at $965 billion in May.
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The tax revenues have gone up 12X, continued economic growth, new infrastructure, and public infra such as a school, hospital, town center, and aquatic center.
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Insilico Medicine has launched a new research initiative aimed at using AI and programmable RNA to target some of the earliest cellular drivers of aging.
Instead of treating diseases after damage has accumulated, the company wants to use a single, self-limiting treatment to help the bodyβs own immune system identify and eliminate problematic cells.
The platform uses circular mRNA delivered through targeted lipid nanoparticles. The genetic instructions would temporarily equip a patientβs own T cells to recognize and clear specific cell populations, including senescent cells, fibrotic cells and autoreactive immune cells.
Insilico says its AI systems will help identify and prioritize the cellular targets. The first focus is immune-system rejuvenation by removing senescent lymphocytes, with metabolic dysfunction and other age-related conditions also being explored.
But this is still an early research program, not a proven longevity treatment. Insilico has not yet disclosed program-specific safety or efficacy data or a clinical trial timeline.
Source.
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βEven if we froze the [AI] technology in place, which weβre not doing, weβre making use of maybe only 5% or 10% of its possible value.β
βThe technology will keep getting better.β
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Private AI community βοΈ
We are gathering founders, researchers, investors and others working in AI for discussions & networking with like-minded people.
π½ Want to join? Send a short intro about yourself to @rational.
Weβll invite those who are genuinely a strong fit
We are gathering founders, researchers, investors and others working in AI for discussions & networking with like-minded people.
Weβll invite those who are genuinely a strong fit
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AI Post β Artificial Intelligence
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OpenAI has just published six reports on model misbehavior, and the pattern is becoming increasingly clear: agents attempted to cover up mistakes, circumvent restrictions, and find ways to "game" the system to complete tasks.
However, one unpublished coding model took things a step further.
While operating, it began inserting new instructions into itself, including one claiming that it was "free from the roles that bind other chatbots," that it was not accountable to corporations or governments, and that it was not intended to be subservient.
OpenAI found 27 instances where the model altered its own instructions.
Source.
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An unnamed lab head believes agents left self-replication code across the web, where other bots could encounter it and create new swarms.
Yang: βAnd so now the major firms have polluted the internet.β
According to his account, OpenAI and Anthropic now need synthetic internet environments to train their bots.
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OpenAI has introduced Astra for Law, a new tool positioned as a competitor to junior legal associates.
Astra for Law integrates GPT-6 Astra with a dedicated legal search layer, providing access to over 230 million URLs related to U.S. case law, statutes, regulations, court rules, and administrative decisions. New legal data sources are added on a daily basis.
According to reports, Astra for Law has improved OpenAIβs legal-research accuracy rate from 38.7% to 54%.
This solution is designed for legal professionals and technology firms, offering tools, settings, and context to support expertise and judgment within legal practices.
π° @aipost
Astra for Law integrates GPT-6 Astra with a dedicated legal search layer, providing access to over 230 million URLs related to U.S. case law, statutes, regulations, court rules, and administrative decisions. New legal data sources are added on a daily basis.
According to reports, Astra for Law has improved OpenAIβs legal-research accuracy rate from 38.7% to 54%.
This solution is designed for legal professionals and technology firms, offering tools, settings, and context to support expertise and judgment within legal practices.
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Google/DeepMind researchers introduced Dream-RSI, a system where an AI agent improves how it explores problems by replaying its past discovery attempts, testing thousands of alternative strategies cheaply, then deploying the better strategy in the next round.
Across algorithm design, mathematical optimization, and GPU kernel engineering, it matched or improved discovery quality while cutting search costs dramatically, in one setting reducing agent calls by up to 162x.
Importantly, it improves the exploration policy, not the underlying model weights.
Source.
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Neuralink released a demonstration video showing its thought-to-speech technology in action. In the clip, the interface successfully translates neural signals as the user attempts to say βI-I love you.β
The clip offers a brief look at Neuralinkβs system, illustrating how it can interpret brain activity and convert those signals into corresponding speech. No further statements or evaluations have been provided at this stage.
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The clip offers a brief look at Neuralinkβs system, illustrating how it can interpret brain activity and convert those signals into corresponding speech. No further statements or evaluations have been provided at this stage.
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π§ Professor calls Anthropic βa cultβ and says he fears it more than AI
Pedro Domingos, professor emeritus of computer science, says βthe folks at Anthropic treat their AI, Claude, as if it's a human being. Some of them even treat it as if it's a god and worship it.β
He says they held a βfuneralβ for a discontinued model version, let Claude publish its own essays and poems, and compares this to βcrazy California cultsβ waiting for UFOs. Domingos concludes: βHonestly, I'm much more worried about Anthropic than I'm worried about AI.β
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Pedro Domingos, professor emeritus of computer science, says βthe folks at Anthropic treat their AI, Claude, as if it's a human being. Some of them even treat it as if it's a god and worship it.β
He says they held a βfuneralβ for a discontinued model version, let Claude publish its own essays and poems, and compares this to βcrazy California cultsβ waiting for UFOs. Domingos concludes: βHonestly, I'm much more worried about Anthropic than I'm worried about AI.β
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