/
Navigation
C
Chronicles
Browse all articles
C
E
Explore
Semantic exploration
E
R
Research
Entity momentum
R
N
Nexus
Correlations & relationships
N
~
Story Arc
Topic evolution
S
Drift Map
Semantic trajectory animation
D
P
Posts
Analysis & commentary
P
Browse
@
Entities
Companies, people, products, technologies
Domains
Browse by publication source
Handles
Browse by social media handle
Detection
?
Concept Search
Semantic similarity search
!
High Impact Stories
Top coverage by position
+
Sentiment Analysis
Positive/negative coverage
*
Anomaly Detection
Unusual coverage patterns
Analysis
vs
Rivalry Report
Compare two entities head-to-head
/\
Semantic Pivots
Narrative discontinuities
!!
Crisis Response
Event recovery patterns
Connected
Nav: C E R N
Search: /
Command: ⌘K
Embeddings: large
VOICE ARCHIVE

Jaime Sevilla

@jsevillamol
7 posts
2026-03-04
Turns out that antagonizing the US DoW is a very profitable marketing strategy.
2026-03-04 View on X
Reuters

Sources: some investors push Anthropic to de-escalate its DOD dispute and avoid the “supply-chain risk” designation; source: some Anthropic-DOD talks continue

Turns out that antagonizing the US DoW is a very profitable marketing strategy.
2026-03-04 View on X
Bloomberg

Sources: Anthropic recently passed $19B in run-rate revenue, up from $9B at the end of 2025 and ~$14B a few weeks ago, as its clash with the US DOD casts doubt

Anthropic PBC is on track to generate annual revenue of almost $20 billion, a projection based on current performance, more than doubling its run rate from late last year …

2026-01-02
As usual from Phil, this analysis is exactly right. I've stared at the problem for years and the two most solid conclusions from human level AI+robots are a falling labor share and explosive inequality.
2026-01-02 View on X
Philosopher Count

How AI automation can fulfill Thomas Piketty's predictions on rising economic inequality, and why highly progressive taxes on capital can help slow the spiral

Piketty was wrong about the past.  He's probably right about the future.  —  1. Introduction X: @briancalbrecht , @saikatc , @harryh , @jankulveit , @daniel_271828 , @krishnanrohit...

2025-11-29
So if I am reading this right, PI has given up on decentralized training, and is now focusing on async RL. Makes a lot of sense.
2025-11-29 View on X
Prime Intellect

Prime Intellect debuts INTELLECT-3, an RL-trained 106B parameter open source MOE model it claims outperforms larger models across math, code, science, reasoning

Today, we release INTELLECT-3, a 100B+ parameter Mixture-of-Experts model trained on our RL stack, achieving state …

2025-11-16
Some commentary by cyber sec experts on the Anthropic report. My impression is that the attack itself is being oversold — they likely got some private emails of target executives, and summarized some personal info about them? [image]
2025-11-16 View on X
Ars Technica

Some experts question Anthropic's claims of cyberattack breakthroughs using its tools, noting that white-hat hackers report modest gains from AI-aided hacking

Researchers from Anthropic said they recently observed the “first reported AI-orchestrated cyber espionage campaign” …

2024-12-27
DeepSeek-V3 is impressively efficient. It has 37B active params and was pre-trained on 14.8T tokens, amounting to 6 x 37B x 14.8T = 3e24 FLOP. That's 10x less compute than llama 3.1 430B, yet better benchmark performance. [image]
2024-12-27 View on X
VentureBeat

DeepSeek releases DeepSeek-V3, an open-source MoE model of 671B total parameters, with 37B activated per token, claiming it outperforms top models like GPT-4o

Chinese AI startup DeepSeek, known for challenging leading AI vendors with its innovative open-source technologies, today released a new ultra-large model: DeepSeek-V3.

2024-04-16
New Epoch research on model training costs now available through the Stanford AI Index report! More research on this will follow soon~
2024-04-16 View on X
Artificial Intelligence Index

Stanford's AI Index report: training top AI models is way more expensive, AI still trails humans on complex tasks, people are more nervous about AI, and more

customer support, customer acquisition, and personalization all between 22-26%. [image] @stanfordhai : The #AIIndex2024 tracks the rise of multimodal models, major cash investments...