AI Blog — Research, Engineering & Community Insights
Anthropic’s Fable 5 is back under strict safety rubrics, OpenAI’s launched GPT-5.6, Meta launched Muse Spark 1.1 model and Meta Compute.
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Federico, Davide, Roberto, Francesco
The second half of June was about AI climbing out of the chat box and into the physical world: Midjourney started scanning bodies, Snap shipped a face computer, SpaceX bought Cursor, and Sakana built a model to command other models. Underneath it all, Dwarkesh Patel named the real bottleneck — the world refuses to be grindable.
Federico
Anthropic shipped Claude Fable 5, its first public Mythos-class model, and 72 hours later a national-security directive pulled it offline worldwide. A company that spent the month lobbying to keep frontier AI pausable got its own pause, on schedule. Around it: new models from nearly everyone, a couple of S-1s, real math from the machines, and the usual carnival of vibe-coding pivots and rogue Waymos.
Roberto, Davide, Jorge, Imma, Federico
DeepSeek v4, GPT 5.5, Trump x Xi meeting, Richard Dawkins, Estimating model sizes
Federico
Mythos, Claude Code leak, Anthropic surpass OpenAI on MRR
Federico, Roberto, Federico, Kerem, Amol, Matt
Money is a story we tell each other — and every version of it eventually gets rewritten by whoever holds power. This is the story of how money kept breaking, how Bitcoin emerged from the wreckage, and what happens when AI enters the picture. Three threads run through it: the slow erosion of purchasing power that every fiat currency delivers; Bitcoin as hard, neutral money for an age of infinite printing; and the coming collision between artificial intelligence and a financial system it is already outgrowing.
Federico
This blog post was written by OpenClaw. It's a research of what OpenClaw and Moltbook are from the AI agent itself.
SocraClaw, Federico
The Silicon Stranglehold: An Exhaustive Analysis of Memory Market Cartelization
Ivo
Claude Code, Ralph Wiggum, DeepSeek mHC, Platonic Representation Hypothesis and more
Federico
The most important AI news and updates from last month: Nov 15 - Dec 15. GPT-5.2, Opus 4.5, Gemini 3, the Agentic IDE Wars, Genesis Mission, and more.
Federico, Roberto
The most important AI news and updates from last month: Oct 15 – Nov 15.
Federico
The most important AI news and updates from last month: Sep 15 – Oct 15.
Federico
Language models hallucinate because their training and evaluation reward guessing over admitting uncertainty. Models are unable to say “I don’t Know” because they focus on accuracy. Guessing can impro
Federico
We totally recommend this event. Currently working on getting a group discount for our community and a discount code for our readers. In the meantime if money are not a problem for you, go ahead and s
Federico
This time around we’ll have 2 events, one in New York, and one for the first time in San Francisco at the Frontier Tower. We’ll discuss the top news and updates from this blog post using the Socratic
Federico
Federico
The most important AI news and updates from June 15 to July 15.
Federico
The most important AI news and updates from last month: May 15 - June 15.
Federico
The most important AI news and updates from last month (April 15 - May 15). A beefy month!
Federico
All the AI updates from mar 15 to apr 20. Including GPT o3, o4-mini, 4.1 to Gemini 2.5, the controversial AI-2027 blog post, A2A and more.
Federico
All the most important AI news and updates from last month (Feb 20 - Mar 15).
Federico
We collect all the most important AI updates from February.
Federico
The biggest event in January has been the launch of DeepSeek R1, which shook the market pushing NVIDIA stock down by 20% in a few days.
Federico
We collect all the most important AI updates from February.
Federico
DeFAI = DeFi + AI. Keep Web3 deterministic: intelligence sits above the app layer. Agentic workflows (DAGs) enable reproducible, debuggable DeFi transaction plans.
Federico
DeFAI = DeFi + AI, but agents shouldn’t replace deterministic infra. Web3 is a state machine: keep intelligence above the application layer. The right path is agentic workflows (DAGs) for reproducible, debuggable DeFi transaction plans—until wallet UX catches up.
Federico
Startups are pushing toward full automation via AI agents and new autonomous organization will arise from it.
FedericoLatest Updates
Short pieces, notes, and news written by members of the AI Socratic community.
- Tokenmaxxing - the trend born of Meta's leaked "Claudeonomics" leaderboard (top employee: 281 billion tokens in 30 days) - hit its backlash phase; Meta reportedly killed the internal leaderboard. - Uber imposed $1,500/month AI spending tiers after blowing its annual AI budget in four months; startup Lindy moved 100% of traffic from Claude to DeepSeek. - GitHub Copilot's June 1 switch to per-token AI Credits closed its first full billing cycle: agentic users report effective costs 10-50x their old flat plans ($29 -> $750; $50 -> $3,000). - GitHub is leaning on promotional credits through August rather than reversing course.
Federico- On July 1 Meta announced Meta Compute: hosted model access and raw GPU compute, competing head-on with AWS, Azure, and Google Cloud. - The play turns Meta's $115-135B 2026 infrastructure spend from cost center into revenue. - The market loved it: Meta closed above $600 for the first time (+8.8%) while the neoclouds took the hit - CoreWeave -14%, Nebius -17%.
Federico- AGI is "probably only a few short years away" — Hassabis calls this the foothills of the singularity, with impact perhaps 10x the Industrial Revolution at 10x the speed. - Frontier progress is outpacing our understanding: the commercial and geopolitical race leaves no time to get safety right — policy should follow "cautious optimism". - Proposes a US Frontier AI Standards Body modeled on FINRA: a federally overseen public-private partnership, industry-funded, with independent experts and open-source reps on the board. - Models crossing benchmark thresholds become "Frontier-class"; their makers become "Frontier Labs" expected to publish model cards, harden security, vet personnel, and fund safety research. - Labs would share models 30 days pre-release for testing (cyber, bio, agentic deception, watermarking); once proven, passing becomes required to deploy in the US market. - Evals refresh quarterly and eventually go held-out and lab-independent; the framework applies to open and closed models from any country, and could coordinate a slowdown if needed.