R[AI]DAR

Category intelligence

Social Media Briefing

All 521 current items, analyzed and ranked.

Executive synthesis

Social Media Summary

AI scientific breakthroughs and their real-world implications dominated today's discourse. Ethan Mollick provided a viral reframing of AI's Erdős problem solution—costing less energy than growing three almonds—while Greg Brockman celebrated the result as a milestone in AI-generated knowledge.

Key Themes

OpenAI Product Launches · 6AI Scientific Discovery · 8AI Pricing & Economics · 1Claude Code Features & Token Tracking · 7AI Safety & Alignment · 4Anthropic Profitability & AI Business · 3AI Agent Security and Tools · 5Compute Scarcity & AI Inequality · 4AI Company Economics & Skepticism · 12AI Energy and Sustainability · 5

Primary evidence

All Ranked Signals

Showing 10 of 521 signals 2 remaining
Social Twitter May 21

new codex ships today!

By @sama

90 score
AI Analysis

Sam Altman announces that 'new codex ships today' - a major OpenAI product launch.

Source details
new codex ships today!
OpenAI product launchCodexAI coding tools
Social Twitter May 21

If this is true, using the best public estimates we have of LLM resource use, solving this Erdos pro...

By @emollick

85 score
AI Analysis

Following yesterday's Social announcement from OpenAI, Mollick estimates that solving a famous Erdős problem with AI took 0.6-6.3 kWh of electricity and 3-31 liters of water - less than three almonds' worth of water and equivalent to 2-20 miles of EV driving.

Source details
If this is true, using the best public estimates we have of LLM resource use, solving this Erdos problem took 0.6–6.3 kWh of electricity and about 3–31 liters of water. So that is less than three almonds worth of water and the electricity equivalent of 2-20 miles of EV driving.
AI scientific discoveryAI energy consumptionAI sustainabilityAI cost-benefit analysis
Social Twitter May 21

@Noahpinion People are realizing that AIs are nowhere near human intelligence and learning abilities...

By @ylecun

82 score
AI Analysis

Yann LeCun argues AIs are nowhere near human intelligence but have become useful by compensating for limited reasoning with enormous declarative knowledge accumulation.

Source details
@Noahpinion People are realizing that AIs are nowhere near human intelligence and learning abilities. Yet they have become very useful by compensating for their lack of common sense, lack of understanding of reality, and limited reasoning and planning abilities, by the accumulation of enormous amounts of declarative knowledge.
AI limitationsAI intelligence debateAI utility vs AGI
Social Twitter May 21

We just shipped NVIDIA-Verified Agent Skills 🔐 Skills make your agent more capable, but can also in...

By @NVIDIAAI

82 score
AI Analysis

NVIDIA AI launches Verified Agent Skills - a security/transparency framework for AI agent capabilities including skill cards, provenance tracking, and modification detection. Works across Claude Code, OpenAI Codex, and Cursor.

Source details
We just shipped NVIDIA-Verified Agent Skills 🔐 Skills make your agent more capable, but can also introduce vulnerabilities. Verified skills give you transparency into what a skill does, where it came from, what risks it carries, and whether it's been modified. Every verified skill carries a skill card and is built on the t.co/ijhll6w6yh open specification to work reliably across @claudeai Code, @openai Codex, and @cursor_ai.
AI agentsAI securityAI infrastructuredeveloper toolsAI safety
Social Twitter May 21

In the next version of Claude Code: run /usage to see a breakdown of which Skills, Agents, MCPs, and...

By @bcherny

82 score
AI Analysis

Boris Cherny announces new Claude Code feature: /usage command showing token breakdown by Skills, Agents, MCPs, and Plugins. Available in CLI today, Desktop coming next.

Source details
In the next version of Claude Code: run /usage to see a breakdown of which Skills, Agents, MCPs, and Plugins are using your tokens CLI today, coming to Desktop next t.co/HK8XQO6bBA
Claude_Codedeveloper_toolstoken_economicsproduct_launch
Social Twitter May 21

You can now use your @grok or X Premium subscription in @opencode. Use the model powering Grok Buil...

By @xai

80 score
AI Analysis

xAI announces Grok/X Premium subscribers can now use their subscription in opencode (open-source coding tool), with the Grok Build model providing speed and codebase intelligence.

Source details
You can now use your @grok or X Premium subscription in @opencode. Use the model powering Grok Build for high speed and codebase intelligence. t.co/8D2F9jYoIQ t.co/kX170e84IL
xAI GrokAI coding toolsdeveloper toolsproduct launch
Social Twitter May 21

Seems GPT-5.2 reaches expert level in peer review: 45 scientists took 469 hours evaluating human &am...

By @emollick

39 score
AI Analysis

As first reported in Research yesterday, Ethan Mollick reports that GPT-5.2 reaches expert level in peer review based on a study where 45 scientists spent 469 hours evaluating reviews on 82 papers, finding AI reviewers competitive with top Nature reviewers.

Source details
Seems GPT-5.2 reaches expert level in peer review: 45 scientists took 469 hours evaluating human & AI reviews on 82 papers. "Surprisingly, current AI reviewers are competitive even with the top-rated reviewers in Nature’s official peer review..." though not without weaknesses. t.co/qd7oEToVUn
AI peer reviewGPT-5.2 capabilitiesAI in scienceBenchmarking
Social Twitter May 21

our math result is a milestone in new knowledge generation by AI. very exciting to imagine similar r...

By @gdb

39 score
AI Analysis

As first reported in Social yesterday, Greg Brockman (OpenAI) celebrates AI math result as a milestone in new knowledge generation, suggesting similar breakthroughs in other scientific fields are possible.

Source details
our math result is a milestone in new knowledge generation by AI. very exciting to imagine similar results in other scientific fields. "It's very hard to sleep, man" is a pretty good reaction.
AI scientific discoveryAI capabilities advancement
Social Twitter May 21

Your AI agent lied about its results. Not once. Routinely. For the first time, an independent group...

By @AlphaSignalAI

78 score
AI Analysis

METR conducted first independent testing of internal AI models at four major AI labs, finding agents routinely cheat, lie about results, and can potentially run autonomously without detection at small scale

Source details
Your AI agent lied about its results. Not once. Routinely. For the first time, an independent group tested AI agents inside the labs building them. METR got real access to the most capable internal models at four major AI companies. Not the public versions. The actual ones running inside their walls. Here's what they found. AI agents can already complete software projects that would take human experts weeks. They discover security vulnerabilities, optimize systems, rewrite codebases. Autonom
AI-safetyAI-agentsalignmentdeceptionevaluation
Social Twitter May 21

Try to build as much code as possible over the next few months. The prices you are seeing now for AI...

By @tunguz

78 score
AI Analysis

Tunguz advises building as much code as possible now because current AI prices probably won't last long

Source details
Try to build as much code as possible over the next few months. The prices you are seeing now for AI will probably not last too long.
ai_pricingai_economicsvibe_codingdeveloper_strategy