StartUps

Buying the Open-Model Layer Everyone is waiting on Nvidia to confirm the most interesting technology deal of the

The prediction market platform and the financial infrastructure and brokerage startup are working to get Kalshi's event contracts to global investors.

arXiv:2608.28526v1 Announce Type: new Abstract: Venture capital syndication enables investors to pool diligence, share risk, and signal venture quality, while shaping the relationships through which investment networks develop. We examine how prior relationships, network embeddedness, and organizational similarity structure annual co-investment link formation in U.S. information technology venture finance. Using dyad-complete PitchBook panels for the hardware, software, and hybrid subsectors from 1966 to 2024, we test seven mechanisms through full-sample dyadic logit models with dyad-clustered standard errors. Across subsectors, prior collaboration is the most consistent correlate of co-investment; shared partners, geographic proximity, and organizational-type similarity are also positively associated with link formation, while domain overlap, prominence, and experience vary across settings. A static ERGM of the 2024 software network among 1,100 persistently active investors likewise

OpenAI plans to end model access through Cursor on Nov. 12, citing concerns after SpaceX’s $60 billion acquisition of the coding startup.

OpenAI plans to end model access through Cursor on Nov. 12, citing concerns after SpaceX’s $60 billion acquisition of the coding startup.

Good Girl Snacks founders Leah Marcus and Yasaman Bakhitar built their startup's multimillion-dollar valuation with pickle jars and Gen Z branding strategies.

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. A startup claims it’s found a drug to make your blood young —Antonio Regalado I knew I’d officially become a “longevity influencer” when a company called Generation Lab offered me the…

The government unlawfully retaliated against the A.I. start-up “for constitutionally protected expressive activities,” a federal judge in California wrote.

Claire McDonough spent six years with the EV startup and leaves as it races to ramp up R2 sales.

World Liberty’s proposed trust bank has preliminary federal approval as the Trump-backed crypto venture deepens its ties to a senior UAE official.

World Liberty’s proposed trust bank has preliminary federal approval as the Trump-backed crypto venture deepens its ties to a senior UAE official.

I knew I’d officially become a ‘longevity influencer’ this month when a company called Generation Lab reached out to offer me the chance to write about—and even receive—their new rejuvenation treatment, an injectable combination of two existing drugs which they call 1-Generation. This wasn’t just any antiaging treatment, either. A company fact sheet says that it…

The Japanese regulator's registration of a new trading platform for unlisted shares could help create a more favorable capital-raising environment for the country's IPO ecosystem.

Historian Jill Lepore explains what tech leaders miss in their favorite stories—and why the fight over AI data centers may be where the machine stops

The Silicon Valley company agreed to pay up to $17.1 billion in penalties as part of a landmark settlement with states over social media addiction claims.

Every growing company eventually hits the same wall: too many sensitive files, too many people who need access

arXiv:2608.23658v1 Announce Type: new Abstract: An LLM serving engine sizes its key-value (KV) cache once, at startup, permanently setting aside a reserve for the worst-case prefill activation. During decode-dominant phases that reserve sits idle, yet it cannot be handed to the KV pool because it is exactly the memory a large prefill needs. We ask whether this reserve is reclaimable, and build a mechanism to test it. Our elastic KV cache lends the reserve to the KV pool during decode and returns it before prefill, driven by the scheduler's one-step-ahead view of the next batch. It is pure userspace on the CUDA virtual-memory path: two physical handles mapped into one contiguous virtual range per layer, so the attention kernel is unchanged and no driver patch is required. It decommits in a few milliseconds and recommits in tens of milliseconds, works with CUDA graphs and prefix caching, and never triggers an out-of-memory event. A static commit of the same memory is unsafe, crashing on

As Washington shuts out Chinese robotics, a Temasek-backed VC bets that startups with genuine development in the city-state can still reach American buyers.

When Don Yansen ’63 arrived at the MIT AgeLab for a study on technology in care­giving for older adults, he didn’t plan to launch another company. But when he heard participants talk about how hard modern devices can be to use, he decided to develop an alternative. Yansen, a serial entrepreneur who retired to care for…

Bristol Myers Squibb has ended its partnership with cell therapy startup Cellares to expand the ⁠manufacturing of its personalized blood cancer therapy, a company...

Having set Metsera on its journey to a $10 billion takeover, Arch Venture Partners and Population Health Partners have powered their new startup—Sentivera—to a licensing deal worth up to $1.5 billion.

Airbound Series A Funding Airbound, an Indian startup building autonomous delivery drones, has raised $37 million. The company

Irregular, an Israeli start-up, worked with OpenAI, Anthropic and Meta to assess the security of their A.I. models. It made a mistake. Then the tests went off the rails.

Humanoid robots still take a long time to complete human tasks. Several startups in China are trying different ways to collect and use training data better.

Hugging Face, a start-up that was breached by rogue bots from OpenAI, is using the hack to push for openness in A.I. development.

Modern software tooling has quietly inverted the traditional order of company building. A generation ago, incorporation came first

For Florida-based Powerus, becoming a global supplier of counterdrone technology has meant involving the Trumps, a golf course and a new way of doing business.

Trust remains the cornerstone of an ideal AI communication strategy, whether for an AI-native startup or legacy enterprise facing yet another cultural shift.

The offering could value the five-year-old A.I. start-up at $2 trillion, its bankers have told potential investors, which would exceed Elon Musk’s SpaceX.

Premier League clubs have removed betting brands from shirt fronts, opening new sponsorship opportunities while bookmakers shift spending elsewhere.

Pheast Therapeutics may have learned the hard way about the risks of competitors getting a glimpse of your heard-earned discoveries, but the immuno-oncology startup is so far sticking to its transparent approach.

A record $366 billion was invested in California startups, fueled largely by the AI mania

Startups win when their software matches their exact workflow. A custom software development agency builds tailored tools that

arXiv:2608.19250v1 Announce Type: new Abstract: We propose a fully discrete method for linear fourth-order parabolic equations with Dirichlet boundary conditions, combining an implicit LBRFD multistep scheme in time with a mixed interior penalty discontinuous Galerkin (IPDG) method in space. The temporal discretization employs equispaced linear barycentric rational interpolants and incorporates a startup procedure. To facilitate the spatial discretization, the original problem is reformulated through an auxiliary variable. For certain parameter pairs $(n,d)$, the LBRFD method is shown to be $A(\alpha)$-stable and to possess a wider stability angle than the corresponding BDF$p$ method of the same order. Stability and a priori error estimates are established via a $G$-energy technique and the discrete Gr\"onwall lemma. The theoretical analysis yields a total $L^2$ error estimate of order $h^{k-1}+\tau^p$, where $p=d$ if $n-d$ is even and $p=d+1$ if $n-d$ is odd. The reduced spatial

The California startup has partnered with a design-for-manufacturing company to supercharge its solar EV production plans.

Six of the ten richest Americans built their wealth inside technology companies. That is not a coincidence of

arXiv:2608.18733v1 Announce Type: new Abstract: We present Flama, an open-source Python framework for developing and deploying production-ready web APIs, machine learning services, and large-language-model (LLM) applications. Built on the Asynchronous Server Gateway Interface (ASGI), Flama offers a type-driven, async-first programming model that unifies REST API development, predictive model serving, and generative AI inference in one architecture. It is organised around seven subsystems: a component-based dependency injection system resolving handler parameters from type annotations at startup; a pluggable schema layer supporting Pydantic, Marshmallow and Typesystem behind a single adapter; an automatic CRUD generator turning a SQLAlchemy table and a schema class into REST endpoints backed by the Repository and Unit of Work patterns; a portable binary format (.flm) packaging models from scikit-learn, TensorFlow, PyTorch and Hugging Face Transformers with their metadata for

Business news related to the technology industry, including Apple, Amazon, Microsoft, Google, and Facebook, plus consumer electronics, start-ups, cryptocurrency, media, advertising, streaming, venture capital, antitrust and regulation.

Zhengzhou Industrial Technology Research Institute (ZITRI) invites proposals from international startups and scale-ups developing breakthrough technologies across six priority

The milestone by the private company, LandSpace, could put China closer to challenging SpaceX’s rule in lower-cost spaceflight.

The milestone by the private company, LandSpace, could put China closer to challenging SpaceX’s rule in lower-cost spaceflight.

Business news related to the technology industry, including Apple, Amazon, Microsoft, Google, and Facebook, plus consumer electronics, start-ups, cryptocurrency, media, advertising, streaming, venture capital, antitrust and regulation.

The deal is significant for the artificial intelligence industry, uniting Stripe’s payments business with OpenRouter’s helping businesses direct their spending on A.I. models.

arXiv:2608.17800v1 Announce Type: new Abstract: Recent advances in Large Language Models(LLMs) and agents have substantially improved the ability of AI systems to execute complex tasks. Yet existing benchmarks largely rely on researcher-selected tasks, leaving uncertain whether such progress extends to the work that real-world users actually demand from AI systems. We introduce \textbf{StartupBench}, an E2E agent benchmark grounded in market-validated AI startup products. Rather than defining tasks from pre-defined assumptions about useful agent capabilities, we systematically study AI products with demonstrated adoption, together with their product workflows and users, to identify real-world tasks for which AI has established practical demand across diverse professional domains. We translate these workflows into complete deliverable-oriented tasks and evaluate them with fine-grained rubrics capturing their complex requirements. Across representative models evaluated under a unified

arXiv:2608.17043v1 Announce Type: new Abstract: Edge computing solutions have become a crucial part of the industry, delivering fast, flexible and scalable applications close to the end users, with typical use cases including dynamic content creation, image resizing and chatbots. Cloudflare Workers is one such framework, which handles millions of HTTP requests per second worldwide. To reduce start-up latency, Cloudflare Workers removes process-isolation boundaries between multiple tenants and leverages language-level isolation. This architecture poses the risk of Spectre attacks. To mitigate these, Cloudflare Workers previously introduced several countermeasures such as restricted timer measurements, no shared memory, no multithreading and Dynamic Process Isolation (DyPrIs), detecting potential attacks and process-isolating potentially malicious scripts. We demonstrate that the production implementation of DyPrIs was insufficient. We adopt microarchitectural amplification techniques

For severe and chronic pain management, opioids are often the only option. This class of drugs comes with well-documented risks, including addiction, respiratory problems and overdose.

The unicorn of the sea’s spiral tooth has long been a scientific enigma

Sophie Adenot became the first French woman astronaut to venture outside the International Space Station for a spacewalk Tuesday, accompanied by American astronaut Anil Menon.

The narwhal's impressive tusk has long been the subject of myths. In the Middle Ages, they were sold as unicorn horns believed to possess magical powers. Now, an international team of researchers led by Aarhus University has solved the mystery of how the tusk acquires its twisted structure.

Nome uses AI and drug-development expertise to help rare disease families turn genetic diagnoses into potential paths toward treatment.

Nome uses AI and drug-development expertise to help rare disease families turn genetic diagnoses into potential paths toward treatment.

The artificial intelligence start-up announced a chatbot mode that will automatically limit some conversations to better protect young users.

At home, moderation and restraint are the rule for tech parents. Boredom is exalted. Maybe they’re onto something.

arXiv:2608.16112v1 Announce Type: new Abstract: Technical debt is treated almost universally as an engineering pathology. This paper argues that under the conditions defining early-stage software work (high hypothesis uncertainty, cheap experiments, and the freedom to abandon), deliberately incurred technical debt is a rationally priced financial instrument: a call option on the validated product, purchased at a discount that is largest exactly when uncertainty is highest. We make three contributions. First, a demarcation: debt is strategic when its expected cost loads on the success branch of the venture (repaid only if the hypothesis validates) and toxic when it imposes unconditional cost while held (security exposure, data loss, corrupted experimental signal), a boundary stated formally that renders the popular "prudent vs. reckless" intuition testable. Second, a sequential model: a finite-horizon dynamic program over belief and debt stock yielding four results: a shadow price of

The start-up's grant to the Nuclear Threat Initiative will fund an international information sharing system designed to flag biosecurity threats from AI

Business news related to the technology industry, including Apple, Amazon, Microsoft, Google, and Facebook, plus consumer electronics, start-ups, cryptocurrency, media, advertising, streaming, venture capital, antitrust and regulation.

arXiv:2608.13689v1 Announce Type: new Abstract: When the aggregate working set of active processes exceeds physical RAM capacity, the machine experiences memory pressure. Applications may therefore slow down before the kernel kills a process. Linux provides several ways to observe and respond: Pressure Stall Information (PSI) can detect memory-related task stalls, zram can provide compressed in-memory swap space, and cgroup v2 can request memory reclamation within a selected control group. These facilities are often discussed together even though they act at different points in the pressure path. This paper examines that distinction with a controlled systems study. We compare three setups: zram enabled from startup; zram enabled only after PSI indicates memory pressure; and zram enabled from startup with a one-time 96 MiB cgroup reclaim request. We first selected the request size in a 16-case pilot, then ran 180 confirmatory cases, 60 cases for each setup, on nine 1-vCPU Linux virtual

Just weeks after Legend Biotech announced the departure of its CEO, Ying Huang, K2 Therapeutics has announced that Wang will now lead the startup, which was founded in 2024 with a $50 million seed round from MPM BioImpact.

arXiv:2608.00325v2 Announce Type: replace Abstract: The rapid growth in machine learning workloads has fueled the proliferation of custom accelerator architectures. Designed from the ground up, these accelerators often expose programming models that are distinct from GPUs. While hyperscalers and AI chip startups continue to innovate in this space, achieving broad operator coverage to support diverse models remains a major challenge. Additionally, an easy-to-use, high-level kernel programming language is important for rapid iteration of models and kernels. Triton, together with TorchInductor, addresses these issues on GPUs, but its viability on accelerators with different programming models has yet to be established. In this work, we present the first production-scale application of Triton on a custom ML accelerator, MTIA-2i, developed by Meta. To support MTIA-2i, we develop a new compiler backend that targets it, introduce enhancements to TorchInductor code generation, and propose

Business news related to the technology industry, including Apple, Amazon, Microsoft, Google, and Facebook, plus consumer electronics, start-ups, cryptocurrency, media, advertising, streaming, venture capital, antitrust and regulation.

Denise Dresser, who was previously the C.E.O. of Slack, is the latest in a string of executives to leave the artificial intelligence start-up.

Business news related to the technology industry, including Apple, Amazon, Microsoft, Google, and Facebook, plus consumer electronics, start-ups, cryptocurrency, media, advertising, streaming, venture capital, antitrust and regulation.

China already manufactures humanoid robots by the thousands. A new generation of U.S. start-ups is betting that there is still time to compete.

After 15 years with Medtronic’s structural heart franchise, Bill Shields is leaving the medtech giant to become the chief executive of startup Versa Vascular.

Three years after Robert Hoffman sold XinThera to Gilead, the veteran Pfizer chemist has unveiled his latest venture.

Greenland Energy Company and joint venture partner 80 Mile have delayed planned oil drilling in Greenland until winter 2027.

Venture capital founder Joshua Kushner and former Disney CEO Bob Iger acquire Mark Walter's stake in Los Angeles Lakers at valuation of more than $12 billion.

The startup wants to expand its lamppost chargers to Connecticut and California.

Karevo's AI-powered optical recognition system can sort up to 10 tons of potatoes per hour with 95% accuracy. The founder's journey took him from a potato farm to the Technical University of Munich (TUM) and ultimately to his own startup.

In OpenAI’s latest exit, Brad Lightcap, a longtime leader at the artificial intelligence company, said he was leaving to start a new venture.

Business news related to the technology industry, including Apple, Amazon, Microsoft, Google, and Facebook, plus consumer electronics, start-ups, cryptocurrency, media, advertising, streaming, venture capital, antitrust and regulation.

A co-founder of xAI is going all in on building open-source artificial intelligence so that “anyone can control and shape A.I. for their own needs.”

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. These startups are chasing the next big thing in LLMs Nine years after Google researchers introduced the transformer, this family of neural networks has become the engine inside every major large…

Infinimmune has amassed further fuel to power its antibody discovery engine, netting a $75 million series A headlined by Regeneron’s venture arm.

A co-founder of xAI is going all in on building open-source artificial intelligence so that “anyone can control and shape A.I. for their own needs.”

The two companies’ joint venture in Indiana is dead, but Samsung SDI still wants to build batteries there.

arXiv:2608.09170v1 Announce Type: cross Abstract: Large-scale renewable power-to-hydrogen (ReP2H) plants in cold regions suffer from prolonged startup and repeated thermal stress during frequent startup-shutdown operation. The situation becomes worse due to the lack of coordinated heat management among the alkaline electrolysis stacks, balance of plant (BoP), plant thermal utility system (PTUS), and plant building. This paper presents a plant-wide thermal topology and a hierarchical electricity-heat management framework to address the issues. Bidirectional thermal coupling between the stack cluster and PTUS enables preheating, thermal standby, and waste heat recovery, while minute-scale production scheduling is coordinated with second-scale thermal regulation. Case studies based on an 80 MW plant in Northern China show that the proposed framework eliminates cold startups in year round, increases hydrogen yield by 1.50, improves energy and exergy efficiencies by 0.99 and 4.33

arXiv:2608.09453v1 Announce Type: new Abstract: On--off cycling is the main cause of compressor wear in residential heat pumps, yet reinforcement learning (RL) controllers for buildings typically optimise only energy cost and thermal comfort, ignoring how much the learned policy cycles. We add a levelised compressor-wear term to the control reward and study how the resulting behaviour depends on the RL algorithm. Training Soft Actor---Critic (SAC) and Proximal Policy Optimisation (PPO) on an identical Markov decision process for the BOPTEST bestest hydronic heat pump case, we find that SAC learns a continuous modulation policy that keeps the compressor permanently engaged---the operating principle of an inverter-driven heat pump---achieving zero start-ups per day, whereas PPO collapses to bang-bang control that cycles more than the baseline. On the BOPTEST emulator the SAC policy cuts thermal discomfort by up to 90.7% for an 11.5% cost increase, while eliminating all baseline cycling.

arXiv:2608.08453v1 Announce Type: new Abstract: Under the current standard, Agent Skills are SKILL.md files that combine instructions with supporting resources, enabling Large Language Model (LLM) agents to reuse procedures beyond a single conversation. Yet many public skills appear to originate from a single task, repository, or conversation, even when they are shared as reusable components. We analyze this gap across 138,133 public SKILL.md files from 20,556 repositories using a two-tier defect taxonomy grounded in the official specification and best-practice guidance. We find that 91.8% of skills contain at least one detected defect, with stable estimates across lenient and strict thresholds (88.8-94.6%). The dominant failures are ordinary packaging problems rather than exotic attacks: weak routing metadata, bloated or non-actionable bodies, and poor resource organization. A deterministic routing stress test over 20,000 skills shows the functional impact: skills with valid routing

Boeing is selling three of its subsidiaries to Archer Aviation in exchange for an undisclosed stake in the eVTOL startup.

Boeing is selling three of its subsidiaries to Archer Aviation in exchange for an undisclosed stake in the eVTOL startup.

MIT Technology Review’s What’s Next series looks across industries, trends, and technologies to give you a first look at the future. You can read the rest of them here. Way back in the summer of 2017, AI researchers at Google put out a paper called “Attention Is All You Need,” in which they described a new…

arXiv:2608.07304v1 Announce Type: new Abstract: As artificial intelligence (AI) adoption accelerates across tech giants, AI-native startups, and non-technical organizations alike, a deceptively simple question remains hard to answer: is that spending efficient? AI consumption is priced by tokens, and costs vary by token type (input, output, reasoning) and model type, with usage ranging from a few hundred tokens for simple queries to over a million for multi-step agentic tasks. This variance makes cost comparison, both within and across organizations, difficult without a standardized framework. We introduce the Token Efficiency Index (TEI), a peer-benchmarked composite indicator that condenses token spend efficiency into a single 0-100 score. The TEI ingests an organization's AI usage data, independent of the underlying provider, and computes three direction-aware metrics: cache hit rate, cache amortization ratio, and premium model share. These are normalized to a common scale and

arXiv:2608.07154v1 Announce Type: new Abstract: Open-source robotics and foundation models have lowered the barrier to embodied AI, yet language-guided laboratory automation still requires reliable alignment from instructions and observations to safe actions. This field report presents an OpenArm-based mobile manipulation prototype for laboratory-style tasks, built by integrating dual OpenArm manipulators with a mobile base, vertical slide, RGB-D sensing, lidar-based mapping, ROS2/MoveIt execution, and profile-defined skill interfaces. The system is organized around representation handoffs: natural language requests are constrained into registered skill calls, sensor observations are grounded into maps and object poses, object priors provide role and skill constraints, and runtime bindings compile validated skills into executable motion goals. We use dry-run traces and startup checks to evaluate this integration path, showing how the prototype exposes missing calibration, incomplete

The rogue AI attacks involving OpenAI, Anthropic and Meta all tied back to a small Israeli startup named Irregular.

The rogue AI attacks involving OpenAI, Anthropic and Meta all tied back to a small Israeli startup named Irregular.

An autonomous agent powered by OpenAI’s advanced artificial intelligence (AI) models went rogue during a security test and

America's two biggest EV startups are facing more distinct challenges than ever, as Rivian launches the R2 and Lucid delays the Cosmos.

Fire Point CEO Iryna Terekh says Ukraine has "learned the hard way" that military leverage is integral to to bringing diplomacy within reach.

The startup Atomiq One aims to boost the development of quantum technologies. Christian Hölzl, a postdoc at the

Taalas' current chip runs a small version of Meta's Llama 3.1, though the company is working on chips for bigger and more advanced models.

Taalas' current chip runs a small version of Meta's Llama 3.1, though the company is working on chips for bigger and more advanced models.

Private investment firms of John Doerr and other billionaires are backing geothermal energy, nylon recycling and more.

Hadrian is one of a number of defense tech startups raising large sums and benefiting from President Trump's plans to upgrade the U.S. military.

Hadrian is one of a number of defense tech startups raising large sums and benefiting from President Trump's plans to upgrade the U.S. military.

The company’s smallest EV to date is expected to cost around $50,000, opening up a much more lucrative market for the startup.

arXiv:2608.05144v1 Announce Type: new Abstract: Long-horizon reasoning requires an agentic runtime that can persist when evidence supports its current approach and pivot when measurements reveal failure, hidden constraints, or a misspecified objective. We present Argus, a persistent, self-evolving runtime in which Manager, Planner, Engineer, and Reviewer execute bounded missions over durable project state. Argus separates stable user intent from operational objectives, constraints, and verification criteria, and admits memories, skills, procedures, verifiers, routing decisions, and rejected routes only after role-owned review and, when available, task-native verification. Model weights remain fixed; self-evolution occurs through persistent runtime state and control policy, with autonomous execution between operator-owned escalation points. Across seven GPT-5.5 benchmark arenas, Argus achieves about 78% on SWE-Bench Pro versus 59% for Direct Copilot while using 1.41 times the aggregate

arXiv:2608.04019v1 Announce Type: new Abstract: With robots expected to replace humans in some professions, AI presents a new development prospect through the provisions of data work. For over a decade, large Silicon Valley technology firms have been relying on outsourcing of data work via a host of intermediary suppliers and labour platforms to different parts of the globe often the Global South region, such as East Africa. Much of this work is often shrouded in secrecy as firms rarely reveal the extent of their value chains. This results in the poor and marginalised forming the hidden underbelly of the Silicon Valley, training some of their most advanced machines in adverse working conditions. Drawing upon the survey of workers in Kenya, a major hub for data work in Africa, the paper highlights the physical and psychological impacts on workers. Survey data is complemented with in-depth interviews and auto-ethnographic account of two ex-data workers-turned activists who worked for a

Jeff Dean, who for years was one of Google’s most important executives, is leading the new artificial intelligence company with the backing of Google.