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AI Newsletter

June 26, 2026 · 10:32 Uhr

1

Anthropic's internal Mythos successor emerges

r/singularity

Reports are circulating in the r/singularity community about an internal successor to the Anthropic model 'Mythos' – reactions range from amazement to AGI speculation. The top comment with 350 upvotes compares the development to science fiction scenarios from 'AI 2027'. This represents an escalation beyond the previously reported Mythos safety debate: now it's about a concrete successor that pushes the AI capability curve steeply upward again.

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2

Anthropic co-founder predicts singularity by 2028

r/singularity

An Anthropic co-founder has publicly forecast singularity by 2028 – a statement with enormous signaling power from inside one of the leading AI labs. The thread reaches 632 points and 468 comments, dominating the technology debate. If one of the most security-oriented AI companies internally expects an impending singularity, the entire strategic planning horizon shifts for companies and regulators.

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3

G7 summit: AI lab CEOs sit alongside heads of state for the first time

@atlasberry008 (TikTok)

At the G7 summit in France, the CEOs of OpenAI, Anthropic, Google DeepMind, Meta, and Mistral attended a closed lunch with Trump, Macron, and other heads of state – China was excluded. The video reached over 32,000 views and 1,671 likes, making it the most discussed AI topic on TikTok this week. The geopolitical embedding of AI governance at the highest diplomatic level marks a fundamental shift: AI is no longer a technology issue, but a matter of state.

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4

DeepMind struggles: Gemini 3.5 Pro insufficient to catch up

r/singularity

Reports suggest that Google's Gemini 3.5 Pro is not enough to keep pace with Anthropic and OpenAI – DeepMind is structurally struggling to remain competitive. With 677 upvotes and Polymarket data (97% probability that no new Gemini Pro will appear by end of June), the picture of a strategic lag becomes clear. Combined with talent flight, Google faces a dangerous vicious cycle of reputation and capability loss.

5

McKinsey: 88% of companies use AI – gap now lies in implementation

techsy.io / McKinsey State of AI 2026

According to McKinsey's State of AI Report 2026, 88% of all organizations are already deploying AI in at least one business function – the bottleneck is no longer access but operational excellence. On Reddit, entrepreneurs report concrete stacks (Claude, Gamma, Notion AI) with which 10-person teams achieve $3M revenue. The competitive advantage is shifting from 'whether' to 'how well' AI is implemented, making consulting and integration services a growth industry.

Situation Report

The AI industry is experiencing a simultaneous escalation on multiple levels in late June 2026: Anthropic dominates talent competition and model benchmarks, while internally a Mythos successor is already circulating and a co-founder proclaims singularity for 2028. Google DeepMind is in structural crisis – talent flight, stagnating model development, and Polymarket consensus against an imminent Gemini Pro release paint the picture of a company that has lost the initiative. Geopolitically, AI has definitively arrived at the highest level of state: the exclusivity of the G7 format without China signals Western bloc formation in AI governance, which will shape regulation and market standards medium-term. For companies, the 88-percent adoption rate means AI usage is no longer a differentiator – competition now takes place at the level of implementation depth and agent infrastructure.

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