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OpenAI IPO delay and stalled margin loan reduce expected payday and valuation benchmark for SoftBank's largest holding.
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United States▲3
Anthropic to Expand Access to Its Most Advanced AI, Claude Mythos 5.1, by Restructuring Certification Framework
U.S. artificial intelligence company Anthropic announced on the 6th that it will restructure its certification program for using its AI models in cybersecurity-related work. As a result, individuals engaged in security-related research will also be able to register, allowing more organizations and others to use its most advanced model, Claude Mythos 5.1, which has a strong ability to discover software vulnerabilities. The company will integrate its existing certification program with Project Glasswing, a framework announced in April for accrediting organizations that can use Mythos. Users will be divided into three tiers according to how they use the model. The lowest tier can include small security firms, universities, and individuals, who can use models such as Mythos for defensive work such as vulnerability analysis. The highest tier is intended for organizations responsible for critical infrastructure such as transportation and finance, and they can conduct high-risk security testing and similar work.
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Artificial Intelligence › Foundation Models & Research Labs ▲Regulation
Cybersecurity & Digital Trust › AI Security & Agent Guardrails ▲Regulation
Artificial Intelligence › Closed / Frontier Labs ▲Regulation
SingaporeUnited StatesTemasek warns AI investment momentum could stall, posing biggest risk to financial markets
Temasek, Singapore's state investment company, has warned that if the investment momentum in artificial intelligence, or AI, begins to fade, it could become the single biggest risk to financial markets right now, even though there is no sign of that happening soon. Rohit Sipahimalani, Temasek's chief investment officer, said at the Milken Institute Asia Summit in Singapore that while there is still no clear signal that AI investment is slowing, markets could face volatility in 2027. AI has been a key driver keeping the S&P 500 near a record high, even as US Treasury yields have risen. However, the overall market is not strong across the board, because roughly half of the stocks in the Russell 3000 index have fallen at least 20% from their June peak, reflecting that most of the market's gains have been driven by just a handful of stocks. Temasek believes the AI investment momentum could stall for several reasons, such as safety concerns leading governments to impose stricter regulations, or customers beginning to see AI technology investments as not delivering returns worth the money spent. At the same time, Temasek remains positive on AI over the long term and is continuing to increase its investments in the sector. Currently, about half of its AI investments are in publicly traded assets, and the company wants to raise that share to around 70-75% so it can adjust its portfolio more quickly as the AI industry changes, since unlisted assets can take longer to sell or reduce. Temasek has invested in private AI model developers such as OpenAI and Anthropic, but Sipahimalani said Temasek will limit the proportion of its investments in these companies because they are assets that are harder to adjust than publicly traded ones.
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Artificial Intelligence › Foundation Models & Research Labs Capital
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United States▲
Corgi Invest Launches MN ETF Offering Exposure to OpenAI and Anthropic
Corgi Invest announced the launch of the MN ETF, an actively managed exchange-traded fund that seeks to give investors exposure to private AI companies OpenAI and Anthropic alongside Meta Platforms, NVIDIA, Alphabet and SpaceX. The fund, whose MANGOS name is an acronym of the six companies' initials, began trading on Cboe BZX Exchange on October 2, 2026, and carries a total annual operating expense ratio of 0.20%. Because OpenAI and Anthropic are not publicly traded, the fund seeks exposure to both through cash-settled total return swaps rather than direct share purchases, with combined exposure to the two private companies limited to 15% of the fund's net assets at the time of investment. Chief Investment Strategist Jeff Weniger said the fund puts that exposure inside a standard exchange-traded wrapper with no lockups and no accreditation requirement. Under normal market conditions the fund invests at least 80% of its net assets in equity securities of all six MANGOS companies and in instruments such as total return swaps that provide economic exposure to their equity value, with portfolio weightings set through active management rather than index replication.
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Artificial Intelligence › Foundation Models & Research Labs ▲Capital
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GOOG · · Neutral Named as one of the six MANGOS companies the new ETF holds, but no company-specific development is reported.
META · · Neutral Included as a MANGOS constituent of the new Corgi Invest ETF, with no Meta-specific news.
NVDA · · Neutral Listed as a MANGOS holding in the new ETF; article reports no NVIDIA-specific development.
United States▲
Anthropic brings Claude to Google Workspace as beta add-on
Anthropic said Tuesday that its Claude artificial intelligence model now works with Google Workspace as an add-on. In Docs, Claude can fix a sentence or restyle a heading in place without touching surrounding formatting, and for bigger rewrites it proposes edits as suggestion cards in the sidebar that users can apply or dismiss. In Sheets, Claude can write formulas, build pivot tables and native Sheets charts, add new tabs, and pull a range into Python for joins or data cleaning before writing results back into the sheet. In Slides, Claude can build new slides from a deck's layouts and themes, then check its work and flag elements that overlap, run off the slide, or contain hard-to-read text. Claude for Google Workspace is in beta on all paid plans and can be installed from the Google Workspace Marketplace.
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Artificial Intelligence › AI Applications & Copilots ▲Technology
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GOOG · Technology · Positive Anthropic's Claude is now available as a Google Workspace add-on, expanding the Workspace ecosystem's AI capabilities.
United States
China▲
U.S. AI Models Often Cheaper Per Task Than Chinese Rivals, Enterprise Spend Falls 5.2%
Two widely accepted narratives about global artificial intelligence are unraveling as market data show U.S. models are often cheaper per completed task than Chinese competitors, while enterprise AI spending is stabilizing despite surging usage. Martin Chorzempa, a senior fellow at the Peterson Institute, wrote in a social media post Tuesday that benchmarking data from Artificial Analysis indicates top U.S. models from developers like OpenAI, Anthropic, and Google tend to be more efficient with tokens when accomplishing equivalent tasks, even though Chinese models may offer lower upfront pricing per token. Chorzempa noted that industry observers routinely focus on technical papers from Chinese labs highlighting architectural improvements while overlooking what U.S. firms have behind the scenes that would cut down on their number one cost, alongside access to more efficient hardware chips. He also pointed out that while open-weight models can be downloaded for free, most commercial enterprises rely on cloud infrastructure, where Chinese labs are reportedly asking for a 30% cut from cloud providers, passing additional expenses on to enterprise users. Separately, Chorzempa cited analysis from Ara Kharazian, lead economist at AI finance platform Ramp, showing that corporate AI spend actually fell 5.2% in recent tracking even as token consumption volumes reached all-time highs, with businesses becoming increasingly adept at picking the right cost and capabilities tradeoffs and leveraging fierce price competition between major U.S. labs.
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Artificial Intelligence › Foundation Models & Research Labs Pricing
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United Arab Emirates
FranceUnited States
Luxembourg▼impact 4
Mistral Launches Large 4, Undercutting Proprietary AI Pricing Floor
Mistral AI CEO Arthur Mensch unveiled Mistral Large 4 at AI Everything Abu Dhabi on October 6, 2026, a 1.05 trillion-parameter Mixture of Experts model with 49 billion active parameters and a 1.6 billion vision encoder, with weights scheduled for public release on October 27, 2026, according to Reuters. Mistral is pricing the model at $0.68 per million tokens for input and $2.09 for output, undercutting the $2/$10 floor set by OpenAI's GPT-6.1 Sol and Google's Gemini 4 Argon, against a proprietary average of $6.03 per million tokens. The model was trained on 4,000 NVIDIA Grace Blackwell GPUs in European data centers, a dependence on American hardware that complicates Mistral's positioning as a champion of European sovereign AI backed by contracts with the French military and Luxembourg Armed Forces. Mistral reports 62% on DeepSWE, 49.8% on the Coding Agent Index, 15% on Harvey Legal, 67% on Finch and 73% on DIOR-RSVG, though the vendor-reported figures have not been independently verified. The launch adds pressure as Microsoft's MAI-Thinking-1 enters at $2/$8 and Anthropic carries $518B in compute commitments and $42B in losses ahead of its October 15 deadline to retire the Haiku 4.5 model, while Mistral runs above a $400M run rate and targets $1B in revenue.
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GOOG · Competition · Negative Mistral Large 4 undercuts the $2/$10 pricing floor set by Google's Gemini 4 Argon, pressuring Alphabet's AI pricing power.