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OpenAI may be a household name, but Anthropic could soon be earning more revenue.
Since each company hit $1B in annualized revenues, Anthropic has grown substantially faster (10× vs 3.4× per year) and could overtake OpenAI by mid-2026 if recent trends continue.
@aipostOpenAI may be a household name, but Anthropic could soon be earning more revenue. Since each company hit $1B in annualized revenues, Anthropic has grown substantially faster (10× vs 3.4× per year) and could overtake OpenAI by mid-2026 if recent trends continue. @aipost 馃彺0 Commentarii 路0 Distribuiri 路11 Views 路0 previzualizare -
Sam Altman: Superintelligence probably by end of 2028. So we got roughly 2 years left. Enjoy your job while you still can. Time is ticking.
@aipostSam Altman: Superintelligence probably by end of 2028. So we got roughly 2 years left. Enjoy your job while you still can. Time is ticking. @aipost 馃彺0 Commentarii 路0 Distribuiri 路42 Views 路0 previzualizare -
"AI has been exponential for the last 10 years. There are only a small number of years left for AI models surpassing the cognitive capabilities of most humans for most things"
@aipost"AI has been exponential for the last 10 years. There are only a small number of years left for AI models surpassing the cognitive capabilities of most humans for most things" @aipost 馃彺0 Commentarii 路0 Distribuiri 路59 Views 路0 previzualizare -
馃棧Demis Hassabis says AGI will be one of the most momentous periods in human history comparable to the advent of fire or electricity
"It will deliver 10 times the impact of the Industrial Revolution, happening at 10 times the speed". A century of change compressed into a decade
@aipost馃棧Demis Hassabis says AGI will be one of the most momentous periods in human history comparable to the advent of fire or electricity "It will deliver 10 times the impact of the Industrial Revolution, happening at 10 times the speed". A century of change compressed into a decade @aipost 馃彺0 Commentarii 路0 Distribuiri 路90 Views 路0 previzualizare -
The Verge reports growing internal strain at xAI following the exit of six out of its twelve co-founders.
What’s happening inside xAI
According to interviews cited in the report:
• Shift on safety philosophy: Employees claim that Elon Musk has pushed to make the model less constrained, viewing traditional AI safety guardrails as a form of censorship rather than protection.
• Management confusion: Staff describe a chaotic decision-making process one executive sets a direction, another reverses it, and others are unaware of either move. This has reportedly created uncertainty and slowed progress.
• OpenAI pressure: The internal focus on catching up with OpenAI is said to be draining morale. Employees argue that many of xAI’s releases mirror what OpenAI shipped a year earlier, leaving little room for bold experimentation. As one insider summarized: chasing last year’s roadmap isn’t how you overtake the leader.
Talent drift and new ventures
Several departing team members have reportedlThe Verge reports growing internal strain at xAI following the exit of six out of its twelve co-founders. What’s happening inside xAI According to interviews cited in the report: • Shift on safety philosophy: Employees claim that Elon Musk has pushed to make the model less constrained, viewing traditional AI safety guardrails as a form of censorship rather than protection. • Management confusion: Staff describe a chaotic decision-making process one executive sets a direction, another reverses it, and others are unaware of either move. This has reportedly created uncertainty and slowed progress. • OpenAI pressure: The internal focus on catching up with OpenAI is said to be draining morale. Employees argue that many of xAI’s releases mirror what OpenAI shipped a year earlier, leaving little room for bold experimentation. As one insider summarized: chasing last year’s roadmap isn’t how you overtake the leader. Talent drift and new ventures Several departing team members have reportedl0 Commentarii 路0 Distribuiri 路109 Views 路0 previzualizare -
馃棧Anthropic Boris Cherny:
Coding is practically solved today, and soon it'll be for everyone, in any domain
"The software engineer title will be replaced by builder or product manager". The upper bound is much scarier, where models that recursively self-improve could be used to design bioviruses.
@aipost馃棧Anthropic Boris Cherny: Coding is practically solved today, and soon it'll be for everyone, in any domain "The software engineer title will be replaced by builder or product manager". The upper bound is much scarier, where models that recursively self-improve could be used to design bioviruses. @aipost 馃彺0 Commentarii 路0 Distribuiri 路142 Views 路0 previzualizare -
This is hilarious.
A $7B japanese toilet company just discovered its ceramics tool can be used to make bleeding-edge AI chips.
Thats a $60 Billion market. Their stock is up 60% on the news.
Source.
@aipostThis is hilarious. A $7B japanese toilet company just discovered its ceramics tool can be used to make bleeding-edge AI chips. Thats a $60 Billion market. Their stock is up 60% on the news. Source. @aipost 馃彺0 Commentarii 路0 Distribuiri 路168 Views 路0 previzualizare -
This is exactly what we were waiting for. Human avatars, with emotions and facial expressions, that you can talk to.
Source.
@aipostThis is exactly what we were waiting for. Human avatars, with emotions and facial expressions, that you can talk to. Source. @aipost 馃彺0 Commentarii 路0 Distribuiri 路216 Views 路0 previzualizare -
Gemini 3 Deep Think just hit 3300 on LiveCodeBench Pro, surpassing 99.99% of humans and beating GPT-5.2 by 1000 points.
@aipostGemini 3 Deep Think just hit 3300 on LiveCodeBench Pro, surpassing 99.99% of humans and beating GPT-5.2 by 1000 points. @aipost 馃彺0 Commentarii 路0 Distribuiri 路245 Views 路0 previzualizare -
Google has unveiled Gemini 3.1 Pro, its latest flagship reasoning model and the performance jump is notable.
The model scores 77.1% on ARC-AGI-2, more than doubling the results of Gemini 3 Pro, signaling a major leap in core reasoning ability.
What’s improved?
With a stronger baseline, Gemini 3.1 Pro is designed for:
• Explaining and visualizing complex concepts
• Synthesizing large datasets into unified insights
• Powering advanced creative and analytical workflows
• Handling multi-step reasoning with greater reliability
In short, this is positioned as a meaningful intelligence upgrade rather than an incremental refresh.
Where it’s rolling out
Google is deploying Gemini 3.1 Pro across its ecosystem immediately:
• Developers: Available in preview via the Gemini API in Google AI Studio
• Enterprises: Integrated into Vertex AI and Gemini Enterprise
• Consumers: Rolling out through Gemini and NotebookLM
Gemini 3.1 Pro marks a substantial reasoning upgrade and Google is pushing it馃敟Google has unveiled Gemini 3.1 Pro, its latest flagship reasoning model and the performance jump is notable. The model scores 77.1% on ARC-AGI-2, more than doubling the results of Gemini 3 Pro, signaling a major leap in core reasoning ability. What’s improved? With a stronger baseline, Gemini 3.1 Pro is designed for: • Explaining and visualizing complex concepts • Synthesizing large datasets into unified insights • Powering advanced creative and analytical workflows • Handling multi-step reasoning with greater reliability In short, this is positioned as a meaningful intelligence upgrade rather than an incremental refresh. Where it’s rolling out Google is deploying Gemini 3.1 Pro across its ecosystem immediately: • Developers: Available in preview via the Gemini API in Google AI Studio • Enterprises: Integrated into Vertex AI and Gemini Enterprise • Consumers: Rolling out through Gemini and NotebookLM Gemini 3.1 Pro marks a substantial reasoning upgrade and Google is pushing it0 Commentarii 路0 Distribuiri 路279 Views 路0 previzualizare
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