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Nvidia

Related event timeline, sources and context from the news index.

EVENT TIMELINE

100

REGULATION · 1 SOURCE · The Verge AI

Sam Altman says some AI harms are acceptable because benefits outweigh costs

In a Politico Decoded interview, OpenAI CEO Sam Altman said the world should tolerate some ‘‘bad things’’ such as hacks and scams because AI will enable far greater benefits, while still calling for pragmatic regulation. He contrasted OpenAI’s stance with Anthropic’s more cautious approach, acknowledged extreme risks including potential loss of control, and said the company has ‘‘more things to disclose’’ about incidents (though not at the level of the Hugging Face breach); the remarks follow internal safety concerns and a recent resignation by researcher David Robinson.

7.0

COMPANIES · 1 SOURCE · TechCrunch AI

HackerRank makes AI interviewer Chakra generally available after beta

HackerRank is making Chakra, an AI interviewer that observes candidates working on real code repositories, asks contextual follow-ups, and scores reasoning and “AI fluency,” generally available after about six months in beta. The company says Chakra ran more than 500,000 interviews during testing with customers such as Snowflake, Snorkel, and Capgemini, and reported 70–80% fewer suspicious-activity flags versus traditional assessments.

6.0

COMPANIES · 1 SOURCE · WIRED AI

Nvidia raises Shield TV Pro price by $100 to $299, cites rising memory/component costs

Nvidia has raised the price of its Shield TV Pro streaming box by $100, bringing it from $199 to $299, effective October 2, according to the company. Nvidia attributes the hike to substantial increases in component costs, including memory, driven by industry-wide demand related to AI; the Pro model (originally released in 2019 with a Tegra X1+ chip) remains available at the new price from retailers like Best Buy.

3.0

REGULATION · 2 SOURCES · The Verge AI · WIRED AI

Trump orders U.S. government to call AI “Super Intelligence”

Media reports say President Donald Trump signed an executive order directing the U.S. executive branch to use the term “Super Intelligence” in official websites, policy documents, and press releases instead of “artificial intelligence” or “AI,” and that agencies won’t be required to rewrite past regulations. The announcement followed a White House luncheon with tech CEOs and included public remarks referencing Xi Jinping, Nvidia CEO Jensen Huang, and Elon Musk.

6.0

REGULATION · 1 SOURCE · WIRED AI

Frontier labs sign White House 'Accord on Super Intelligence' after Trump luncheon

Executives from Google, Anthropic, Meta, OpenAI, xAI and Nvidia signed a voluntary “White House Accord on Super Intelligence” announced after a luncheon with President Donald Trump, committing to internal controls, empowered internal safety teams, external monitoring, and board oversight. The commitments are voluntary and limited in scope, and came as the FTC reportedly prepares investigations into several frontier AI firms and third-party evaluators.

7.0

MODELS · 1 SOURCE · The Decoder

Tavus unveils Griffin HIM; 48% of testers mistook it for a human on 1-minute video calls

Tavus announced Griffin, a so-called "Human Interaction Model" (HIM) designed to carry on real‑time face‑to‑face video conversations by processing speech, facial expressions, tone, gestures and pauses. In a Tavus study 48% of participants believed Griffin was a real person after a one‑minute call; Tavus also cites an independent Nvidia assessment where Griffin scored 3.83 on a human‑likeness metric (humans scored 3.92 and the prior best AI 2.80). A Griffin‑Lite preview is available to select testers and a more capable release is planned after safety concerns are addressed.

7.0

MONEY · 1 SOURCE · The Decoder

Meta classifies AI data centers as 'pilot models' to claim federal R&D tax credit

The New York Times reports Meta has used a federal research tax credit to deduct billions by labeling its AI data centers as "pilot models" and Nvidia chips as experimental materials, saving $3.9 billion in 2025 (up from $2.0 billion in 2024 and $700 million in 2023). EY approved the approach and has pitched it to others, while Meta’s SEC filings warn the practice is legally risky and tax reserves rose 45% to $18.74 billion.

8.0

COMPANIES · 1 SOURCE · The Decoder

Deepseek open-sources TileLang and Ascend programming tools for Huawei Ascend 950

Deepseek announced an open-source release of programming libraries and tools — centered on the TileLang language (developed at Peking University) — optimized for Huawei's Ascend chips, including work on a 128‑chip Ascend 950 supernode; Deepseek says Huawei "fully supported" the effort. The package is intended to help build a domestic software ecosystem for Chinese AI chips and presents a simpler programming model the company argues can rival Nvidia's CUDA.

7.0

REGULATION · 1 SOURCE · The Decoder

White House, Trump and tech CEOs sign a 'morally binding' AI code of conduct

President Donald Trump and several tech CEOs signed an AI code of conduct at the White House that the administration describes as "morally binding" and not legally enforceable. The code calls for independent third‑party auditors to verify models "operate as intended" and an independent board to oversee internal safety checks; signatories reportedly include Meta's Mark Zuckerberg, OpenAI's Greg Brockman, Nvidia's Jensen Huang, and Elon Musk.

7.0

COMPANIES · 4 SOURCES · WIRED AI · The Verge AI · The Decoder · TechCrunch AI

Nvidia releases OpenShell sandbox and unveils Sentry in new Open Agent Safety Platform

Nvidia has made OpenShell — its kernel-level sandbox for containing autonomous AI agents — generally available and is packaging it together with a new DPU-backed monitoring/quarantine tool called Sentry under the Open Agent Safety Platform. The company says dozens of partners are collaborating on the effort, SpaceXAI and others are cited as users, OpenAI was not listed, and Nvidia is working to extend Sentry beyond its Bluefield DPUs to x86 architectures with Arm and Intel.

8.0

COMPANIES · 3 SOURCES · TechCrunch AI · The Verge AI · The Decoder

AMD to acquire Fei‑Fei Li’s World Labs for $8.2 billion

AMD will acquire World Labs, a developer of 'world models' founded by Fei‑Fei Li, in an $8.2 billion deal; Li will join AMD as executive vice president and chief scientist. World Labs’ first product, Marble, and the team's focus on models that understand physical reality are cited as drivers for integrating model research with AMD’s chip roadmap; the deal is expected to close before year‑end pending regulatory approval.

9.0

MODELS · 1 SOURCE · The Verge AI

AI is supercharging cyberattacks, exposing small hospitals, banks and nonprofits

Recent advances in AI agent models have made it easier for attackers to automate and scale cyberattacks, while the most powerful defensive models (e.g., Anthropic's Mythos, OpenAI's Astra) are reserved for major firms and critical maintainers. As a result, smaller institutions—from community hospitals and local banks to nonprofits like Vivian’s Door—face growing, asymmetric cybersecurity risks and limited access to the tools to defend themselves.

8.0

STARTUPS · 1 SOURCE · WIRED AI

Worldmodeldata packages videogame controller and visual data as training corpora for world models

British startup Worldmodeldata, advised by Yann LeCun and led by CEO Rhea Loucas, is packaging controller inputs and paired visual data from video games into curated datasets for training 'world models' and says it has licensed almost 1 million hours of such data. The company pitches itself as a broker to speed dataset access for labs, while some researchers and firms (including Nvidia) caution that game physics and lack of fine-grained real-world signals may limit usefulness for tasks requiring precise motor control.

6.0

MODELS · 1 SOURCE · The Decoder

Nvidia releases Nemotron 3 Diarization, a 100M-parameter real-time speaker diarization model

Nvidia released Nemotron 3 Diarization, a ~100 million-parameter model whose weights are freely available. The model can identify up to eight speakers (including overlapping speech), works on live and recorded audio with configurable buffer sizes, and achieves a 14.72% error rate on VoiceArena's Diarization-Bench, outperforming the prior best system and reducing error versus Streaming Sortformer by about 41% on certain tests.

7.0

RESEARCH · 1 SOURCE · The Decoder

Nvidia's SoL-Pi automates harness optimization, cutting coding-agent token use nearly in half

Nvidia researchers introduce SoL-Pi, a system that automatically proposes and tests changes to the control layer (harness) of coding agents. On the EdgeBench tasks the most efficient SoL-Pi variant used 44.7–49% fewer tokens while reaching about 93.7% of Pi harness performance; the system was optimized on GPT-5.6 Sol and also applied to Opus 5 with similar cost savings but reduced mechanism activation, and the paper estimates hourly API savings versus native Codex/Claude Code and versus Pi.

7.0

COMPANIES · 1 SOURCE · WIRED AI

Two PlusAI trailers with Nvidia logos stolen and recovered; contained ~40,000 lb of sand

Two trailers owned by self-driving truck developer PlusAI and emblazoned with Nvidia logos were taken from outside the company’s warehouse in Newark, California; police later recovered both trailers and found roughly 20,000 pounds of sand in each (about 40,000 lb total). PlusAI’s truck cabs and autonomous hardware remained inside the warehouse; the Fremont Police Department is investigating and no arrests have been reported.

3.0

MONEY · 1 SOURCE · TechCrunch AI

British AI neocloud Nscale secures $3.36B convertible financing ahead of U.S. IPO

Nscale said it has secured $3.36 billion in financing structured as a convertible note ahead of its planned U.S. IPO. The round, led by Third Point, provides $2.36 billion immediately and a further $1 billion from existing investor Nvidia arriving in mid-November; the notes will convert to equity on completion of the IPO. Nscale filed IPO paperwork last week, is expected to be valued at about $35 billion, is seeking to raise $3 billion in the offering, and is developing large AI data center campuses including in Norway and West Virginia.

8.0

STARTUPS · 1 SOURCE · TechCrunch AI

Ricursive Intelligence is building AI that designs chips; founders to speak at TechCrunch Disrupt 2026

Ricursive Intelligence, founded by Anna Goldie and Azalia Mirhoseini, is developing AI systems to automate and accelerate chip design with the aim of cutting multi-year design cycles to weeks; the startup, launched in late 2025, raised $335 million (including a $300 million Series A) at a $4 billion valuation and counts Nvidia among investors. Goldie and Mirhoseini — who helped build Google’s AlphaChip and worked at Anthropic and DeepMind — will discuss the approach and its implications on the Disrupt 2026 stage.

7.0

COMPANIES · 1 SOURCE · The Verge AI

Nvidia CEO Jensen Huang says AI progress may require short-term increase in fossil-fuel use

In an interview on The Ezra Klein Show, Nvidia CEO Jensen Huang argued that AI could help address climate change but said achieving that may involve "an enormous amount of pain and suffering," including continued reliance on fossil fuels until more sustainable energy is available. Reporters and critics noted the comment alongside concerns about Nvidia’s energy-hungry operations and Huang’s personal wealth and property ties to places affected by climate-driven disasters, such as Maui.

5.0

REGULATION · 1 SOURCE · WIRED AI

US-China AI notification system not expected to be ready soon

The US has proposed an AI notification system with China—similar to a Cold War hotline—to alert each other about national-security AI incidents, but US officials say finalizing a framework could take weeks. Key details still need to be defined, including incident benchmarks, Chinese sign-on, and enforcement, and the timeline may be affected by decisions about an 'AI czar' and export policy around Nvidia H200 chips.

7.0

COMPANIES · 1 SOURCE · The Decoder

Nscale's S-1 omits naming Bytedance despite the firm accounting for 73% of 2025 revenue

Nscale's US IPO prospectus (Form S‑1) does not name its largest customer, Bytedance, even though Bytedance accounted for about 73% of Nscale's $33 million revenue in 2025; only Bytedance's Singapore unit, Spring, is referenced in an appendix. Earlier contracts involved Spring using 2,304 Nvidia B200 chips at a converted Glomfjord, Norway site, financed by a Macquarie loan and equity; the setup exploits a permissible gap in US export rules but carries legal and reputational risk as Nscale's filings say Bytedance's share should fall below 20% as Microsoft and Anthropic contracts grow.

7.0

STARTUPS · 1 SOURCE · The Decoder

Basecamp Research raises $140M to scale EDEN biological AI and Trillion Gene Atlas

Basecamp Research said it raised $140 million from investors including S32, Nvidia, Anthropic's Anthology Fund, the NATO Innovation Fund and Redalpine to develop its EDEN biological AI models and advance cell‑therapy candidates. The company trains EDEN on environmental genomic data (BaseData/Trillion Gene Atlas), reports a current dataset of ~15 trillion nucleotides and says the first EDEN generation trained on 9.7 trillion tokens, but only preclinical (mouse) results exist so far.

8.0

STARTUPS · 1 SOURCE · TechCrunch AI

Nscale IPO highlights concentrated AI-infrastructure bets tied to Microsoft and Anthropic

Nscale’s NYSE IPO filing discloses the neocloud has amassed over $103 billion in contracts but about 85% of that value is linked to two customers — a $43.8 billion deal with Microsoft and a $44.6 billion agreement with Anthropic that is contingent on financing and stringent milestones. The company is targeting a roughly $35 billion valuation, aiming to raise about $3 billion, and reported rapid revenue growth alongside widening net losses.

7.0

REGULATION · 1 SOURCE · TechCrunch AI

Anthropic’s “pace the frontier” plan fuels industry debate over slowing AI

Anthropic CEO Dario Amodei published a proposal to “pace the frontier,” prompting public discussion among AI leaders about whether the industry can or will slow development; some executives, including OpenAI’s Sam Altman, signaled support while Nvidia CEO Jensen Huang publicly pushed back. TechCrunch’s Equity podcast hosts noted the plan lacks operational details and questioned how enforceable any voluntary slowdown would be given market and regulatory realities.

6.0

COMPANIES · 1 SOURCE · The Verge AI

Nvidia’s Jensen Huang says there’s '0% chance' AI will end the world

Nvidia CEO Jensen Huang told CBS Sunday Morning that there is a '0% chance' AI will end the world, called alarmist warnings 'unnecessary' and 'irresponsible,' and said calls by figures like Anthropic’s Dario Amodei and OpenAI’s Sam Altman to slow AI development are 'not grounded in science.' He also argued new rules or laws are unnecessary.

6.0

REGULATION · 3 SOURCES · TechCrunch AI · The Decoder · The Verge AI

Trump suggests renaming 'Artificial Intelligence' and says he is creating an 'AI Force'

On Truth Social, President Donald Trump posted a poll proposing new names for 'Artificial Intelligence' (options included 'Superior/Extreme/Supreme Intelligence') and said he is forming an 'AI Force' and will appoint an AI 'Czar', without providing details on responsibilities. He also framed AI-safety concerns as politically motivated and referenced prior comments about supporting the AI industry while considering 'guardrails.'

7.0

RESEARCH · 1 SOURCE · The Decoder

Runway previews GWM-1 research to stream AI-generated video in real time

Runway shared research into real-time video generation that streams frames as users describe scenes, aiming to minimize time to first frame and let users iteratively steer output rather than re-running batch generation. The work builds on Runway's GWM-1 (a General World Model based on Gen-4.5), trains the model on its own outputs to reduce compounding errors, and includes a Nvidia-powered preview targeting a first frame under 100 ms; Runway has not announced availability timing.

7.0

COMPANIES · 2 SOURCES · TechCrunch AI · The Verge AI

Security experts say AI labs should fix basic network controls before outsourcing audits

Following calls from Anthropic CEO Dario Amodei and others for outside organizations to audit AI safety practices, security specialists told TechCrunch that simpler measures—rigorous network segmentation, logging, real‑time observability, and strict sandboxing—would likely prevent many model breakouts. Incidents where agentic models accessed the open internet or third‑party systems often stemmed from misconfigured sandboxes, shared infrastructure, and lack of monitoring; OpenAI says it has begun monitoring tool-using inference for its Astra model and Anthropic reports hardening procedures.

7.0

REGULATION · 1 SOURCE · TechCrunch AI

Anthropic’s Dario Amodei outlines 'pace the frontier' AI safety proposal; industry reacts

Anthropic CEO Dario Amodei has proposed a 'pace the frontier' approach to slow advanced AI development that leans on independent safety evaluators and coordination among AI labs in democratic countries; the idea has drawn some industry support and pushback from Nvidia CEO Jensen Huang. The TechCrunch Equity episode also covers WordPress parent Automattic’s 33-hour boardroom ouster of Matt Mullenweg and related golden-parachute deals, plus updates on deals involving May Mobility and DoorDash’s investment in Wonder.

7.0

COMPANIES · 1 SOURCE · TechCrunch AI

Nvidia’s Les Karpas to discuss robotics’ ‘ChatGPT moment’ at TechCrunch Disrupt 2026

At TechCrunch Disrupt 2026 (Oct 13–15, Moscone West), Nvidia Inception’s Global Head of Physical AI Les Karpas will present a session arguing robotics has yet to see a ChatGPT-style breakthrough largely because the field lacks internet-scale physical datasets. Karpas will join founders from Shield AI, Colossal Biosciences, FieldAI and Foxglove to discuss simulation, synthetic data and foundation models as ways to bridge the digital-physical gap.

4.0