R[AI]DAR

Category intelligence

Social Media Briefing

All 512 current items, analyzed and ranked.

Executive synthesis

Social Media Summary

The Midjourney Medical launch dominated the day, as the generative-AI company unexpectedly unveiled a medical division and full-body scanner device. A technical deep dive on the Midjourney Scanner drew 9.4M views, and swyx compared the reveal to the original iPhone, framing 40-100x ambitions.

Key Themes

Midjourney Medical Launch · 16AI in Healthcare · 13Agentic Memory and Tools · 5AI Safety and Alignment · 9Open Models and Inference Infrastructure · 4Open Weights and Open-Source Economics · 8Medical AI · 5AI Talent Movement · 3Open-source vs closed models · 7AI Hardware and Infrastructure · 2

Primary evidence

All Ranked Signals

Showing 10 of 512 signals 2 remaining
Social Twitter Jun 18

Announcing a new division of Midjourney called "Midjourney Medical" https://t.co/c14YcO6yaU

By @midjourney

82 score
AI Analysis

Continuing our coverage of Midjourney's hardware reveal, Midjourney announces a new division called Midjourney Medical.

Source details
Announcing a new division of Midjourney called "Midjourney Medical" t.co/c14YcO6yaU
Midjourney MedicalAI hardwarehealth techproduct launch
Social Twitter Jun 18

My @Google colleagues @NormJouppi, Sridhar Lakshmanamurthy, Cliff Young, and David Patterson recentl...

By @JeffDean

80 score
AI Analysis

Jeff Dean summarizes a forthcoming IEEE Micro paper on Google's TPU evolution from v2 to Ironwood, detailing 30x energy-efficiency gains, cooling shifts, interconnect changes, and pod scaling.

Source details
My @Google colleagues @NormJouppi, Sridhar Lakshmanamurthy, Cliff Young, and David Patterson recently wrote a paper that will appear in the July/August 2026 edition of @ieeemicro titled "Google's Training Supercomputers from TPU v2 to Ironwood: Architectural Stability, Scale, Resilience, Power Efficiency, and Sustainability Across Five Generations". It's chock full of interesting data about the evolution of TPU chip generations, as well as how workloads at Google have transformed over time (hin
AI hardwareTPUsenergy efficiencyinfrastructure
Social Twitter Jun 18

A technical dive inside our new "Midjourney Scanner" https://t.co/wJBHz2O7ro

By @midjourney

78 score
AI Analysis

Continuing our coverage of Midjourney's hardware reveal, Midjourney shares a technical deep dive into its new Midjourney Scanner medical device.

Source details
A technical dive inside our new "Midjourney Scanner" t.co/wJBHz2O7ro
Midjourney MedicalAI hardwarehealth techproduct launch
Social Twitter Jun 18

We built the fastest PDF -> markdown parser in the world 🚀⚡️ AND it’s more accurate than any other ...

By @jerryjliu0

78 score
AI Analysis

Jerry Liu announces LiteParse v2.1, claiming the fastest open-source PDF-to-markdown parser, more accurate than other model-free parsers on three benchmarks, fully open source under Apache 2.0 with multi-language bindings.

Source details
We built the fastest PDF -> markdown parser in the world 🚀⚡️ AND it’s more accurate than any other open-source, model-free parser (pymupdf4llm, opendataloader, pdf-inspector, markitdown) on 3 standardized benchmarks: olmOCR0-bench, opendataloader-bench, ParseBench Introducing LiteParse v2.1. The v2 base version was already the fastest document->text parser on the planet, and with this new release we’ve introduced markdown. It is fully open-source (Apache 2.0) and free, is usable from CLI/Rus
document-parsingopen-sourcedeveloper-toolsbenchmarks
Social Twitter Jun 18

Together with researchers at Boston Children’s Hospital and Harvard, we published a study in NEJM AI...

By @OpenAI

72 score
AI Analysis

OpenAI announces a NEJM AI study with Boston Children's Hospital and Harvard showing o3 Deep Research helped clinicians solve previously unsolved rare pediatric disease cases.

Source details
Together with researchers at Boston Children’s Hospital and Harvard, we published a study in NEJM AI showing how o3 Deep Research helped clinicians revisit previously unsolved rare pediatric disease cases, and find answers for families who had waited years. t.co/HVVDlEkuYR
AI in healthcareRare diseaseClinical researchOpenAI
Social Twitter Jun 18

Introducing Brain in Computer. Brain is a continuously learning memory system. Every task on Comput...

By @perplexity_ai

72 score
AI Analysis

Perplexity introduces Brain, a continuously learning memory system that builds a context graph for its Computer agent, available in research preview for Max subscribers.

Source details
Introducing Brain in Computer. Brain is a continuously learning memory system. Every task on Computer plugs into a context graph built by Brain. It makes Computer more stateful with every run. Available as a research preview for all Perplexity Max subscribers. t.co/Dw4Q7Izmqs
memory systemsPerplexityAI agentsproduct launch
Social Twitter Jun 18

I don't know if it's obvious information or not but if you talk to random people in San Francisco th...

By @levelsio

72 score
AI Analysis

Levelsio relays the SF sentiment that software is commoditized because AI makes building apps fast, prompting talent to shift toward hardware, tying it to Midjourney's health move.

Source details
I don't know if it's obvious information or not but if you talk to random people in San Francisco the general thing they say is that software is commoditized cause so easy to make anything with AI fast (like how I cancelled all my SaaS subscriptions and just vibe coded a replacement for free) and that everyone smart is getting into hardware cause it's still difficult to enter, kinda related to the Midjourney Medical thing too
software-commoditizationhardware-shiftvibe-codingindustry-trends
Social Twitter Jun 18

Let’s face it: after-the-fact API guardrails are not the right safety tool for frontier models. The...

By @ClementDelangue

70 score
AI Analysis

Hugging Face CEO Clement Delangue argues that post-hoc API guardrails are inadequate for frontier model safety, advocating staged release, strong evals, open-source support, and independent evaluation.

Source details
Let’s face it: after-the-fact API guardrails are not the right safety tool for frontier models. They don’t make dangerous capabilities disappear. They just hide them behind a brittle interface that can be easily jailbroken. A better safety agenda:
  • don’t train models for very high-risk capabilities without strong evals, justification, and containment
  • use staged release, as pioneered by @IreneSolaiman, from trusted testers to broader access, and open release for transparency and accountabi
AI safetyopen weightsgovernancestaged release
Social Twitter Jun 18

you can now teach Codex by demonstration:

By @gdb

70 score
AI Analysis

Greg Brockman announces that OpenAI's Codex can now be taught by demonstration.

Source details
you can now teach Codex by demonstration:
agentic codingCodexproduct launch
Social Twitter Jun 18

@NoamShazeer welcome to the team!

By @gdb

70 score
AI Analysis

Greg Brockman welcomes Noam Shazeer to the OpenAI team, signaling a high-profile talent hire from a leading transformer researcher.

Source details
@NoamShazeer welcome to the team!
AI talent movesOpenAI