Entries in Category “News”

Grok and GPT Split on Midterm Picks | Apollo Finds No AI Payoff Outside Tech

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1. Grok and GPT split sharply on midterm picks

A Convovo study led by Cornell professor Tapan Parikh asked Grok 4.7 and GPT-6.1 Sol, through their APIs, to name one candidate in nearly 500 midterm races. Grok picked the Republican 92% of the time and GPT the Democrat 97%, agreeing in under 10% of races. The consumer apps refused, but the results arrive less than two weeks before the November 3 vote and add to scrutiny of model bias.

Source: TechCrunch

2. Apollo sees no AI payoff outside tech

Apollo chief economist Torsten Slok argues AI has produced no measurable financial return for US companies outside tech. Revenue per worker and profit margins are rising for the Magnificent Seven but flat for the other 493 S&P companies, and productivity data shows no lift. The note, heavily debated on Hacker News, says mainstream firms are starting to treat token spending as a cost center, which matters for AI vendors’ growth assumptions.

Source: Apollo Global Management

Categories: AI, Corporate, Hot topic, News, Trending

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AI-Found PHP2Shell Flaws Force Emergency Web Patches | Anthropic Opens Claude Duet Agent Preview | Recursive Releases AI-Built Flint Coding Model

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1. AI-assisted research exposes PHP2Shell flaws

PHP shipped emergency patches (8.2.35, 8.3.36, 8.4.27, 8.5.12) for two critical engine flaws that allow unauthenticated remote code execution and memory disclosure. Calif found one using OpenAI’s GPT-5.6 Sol, and Wiz independently found both with help from Gemini 4 Argon. Details leaked a day early, and several governments took sites offline. It is a concrete case of frontier models finding internet-scale bugs faster than defenders can patch them.

Source: OpenAI

2. Anthropic previews Claude Duet

Anthropic opened a waitlisted research preview of Claude Duet, a standalone proactive agent for US Pro and Max subscribers. It runs on Opus 5.5 in its own cloud virtual machine with a browser, checks connected apps every few hours, sends morning briefs, and asks approval before sending, paying, signing, or deleting. It puts Anthropic in direct competition with OpenAI’s Dots and Meta’s Muse for always-on assistants aimed at professionals and small businesses.

Source: Anthropic

3. Recursive releases Flint

Richard Socher’s Recursive released Flint, a free Apache 2.0 coding model with 40 billion parameters, about 2.5 billion active per token, that runs on a laptop at roughly 131 tokens per second on an M4 Pro MacBook. The company says its automated research system, the Eureka Machine, contributed to nearly every stage of development. It is an early public test of AI building AI, still under human oversight.

Source: TechCrunch

Categories: AI, Development, Hot topic, News

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OpenAI Models Come to Google Cloud | Anthropic Draft S-1 Shows $80.7B Loss | Mistral Launches Voxtral 3 Voice Stack

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1. OpenAI models come to Google Cloud

OpenAI’s GPT-6 Astra, GPT-6.1 Sol and GPT-6 Luna are now in private preview in Google Cloud’s Model Garden, sold through Google Cloud Marketplace so customers can draw down existing GCP commitments. Codex CLI and Desktop can also run inference through Google’s platform, with Antigravity and Gemini Agent support coming. Google now offers all three leading closed models, while OpenAI says Microsoft remains its primary cloud partner.

Source: OpenAI

2. Anthropic draft S-1 shows $80.7B first-half loss

A draft IPO prospectus seen by The Wall Street Journal shows Anthropic’s first-half 2026 revenue rose to $16.3 billion from $1.1 billion a year earlier, against an $80.7 billion net loss, $72 billion of it non-cash charges tied to convertible notes. Infrastructure spending nearly quadrupled to about $9 billion, and Reuters reports some investors now discuss a $1.5 trillion valuation instead of the expected $2 trillion.

Source: Al Jazeera

3. Mistral launches Voxtral 3 voice stack

Mistral released Voxtral 3, a set of speech-to-text and text-to-speech models plus a voice agent SDK built on LiveKit that streams listening, reasoning, tool calls and speech in one pipeline. Transcription covers 50+ languages with diarization from $0.0035 per minute, TTS costs $13 per million characters, and the stack runs on Mistral’s API or self-hosted, a pitch aimed at contact centers with data residency requirements.

Source: Mistral AI

Categories: AI, Corporate, News

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DeepSeek Open-Sources Its DeepInfer Inference Engine | US Bans DeepSeek From Civilian Agencies | Inception Launches Mercury 3 Diffusion Model

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1. DeepSeek open-sources DeepInfer

DeepSeek released DeepInfer, the in-house engine that serves its models in production, under the Apache 2.0 license. It currently supports only DeepSeek-V4.1-Flash and runs on Nvidia SM100 GPUs and Huawei Ascend 950 chips, with speculative decoding and multi-chip parallelism. It omits KV-cache infrastructure and load balancing. Hosts running DeepSeek models can now adopt the lab’s own serving methods, though its speed claims are not yet independently verified.

Source: The Next Web

2. US orders DeepSeek out of civilian agencies

The Department of Homeland Security made public an order, effective since late July, that bars DeepSeek products from federal civilian procurement and requires agencies such as Treasury, State, and Justice to remove them. The order also covers third-party products built on DeepSeek. Defense and intelligence systems fall outside it. Vendors selling to government will likely need to audit whether any of their tools rely on DeepSeek models.

Source: BBC News

3. Inception launches Mercury 3

Inception released Mercury 3, a diffusion-based language model that generates text in parallel rather than one token at a time. The company says it matches or beats GPT-6 Luna and Claude Haiku 5.5 while running at about 1,068 tokens per second, with a 1M-token context and launch pricing of $0.10 per million input tokens. If the benchmarks hold up, it is the strongest case yet that diffusion models can compete on latency-sensitive work.

Source: Inception

Categories: AI, Development, News, Trending

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U.S. bans DeepSeek from federal civilian agency systems

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1. U.S. bans DeepSeek from federal civilian agency systems

The U.S. government barred DeepSeek from federal civilian agency systems under a new Department of Homeland Security order, citing national-security and data-handling risks. The move turns concerns about Chinese AI software into a government-wide procurement restriction and could accelerate pressure on enterprises and allied governments to reassess use of DeepSeek models.

Source: Reuters

Categories: AI, Hot topic, News

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