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Intrinsic Core is an open source set of Robot Operating System-compatible capabilities for building robotic applications. The capabilities act like the building blocks of robot behavior. The release allows users to quickly and easily combine capabilities to achieve adaptive AI systems. The capabilities are ROS-compatible.
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Your buyers scroll past product pitches on social all day and have learned to tune most of them out. In TLDR, your ad is written in the newsletter's voice and appears alongside the stories they came to read. Learn more about sponsorship opportunities [11].
LiteParse is a standalone OSS PDF parsing tool. Focused exclusively on fast and light parsing, it provides high-quality spatial text parsing with bounding boxes, without proprietary LLM features or cloud dependencies. It runs everything locally. A cloud-based version of the tool is available.
Some bugs give normal users such a bad experience that they tell their friends about it. Developers and advanced users can be blind to these bugs because they're used to performing the non-intuitive workarounds required to get around them. Humans have a high ability to ignore the negatives in things they like. Being open to criticism can help developers notice more flaws in their work.
To have a positive career, you need to be appropriately recognized and rewarded for your work. Take public credit in a way that isn't obnoxious or wasteful. Don't let anyone lie about you, and beware of people who think you got lucky. Maintain leverage at all times - leverage mainly comes from your ability to walk a valuable asset (your labor) out the door.
The cost of a given level of AI performance has fallen an average of around 47% per quarter over the past three years. AI spending can still remain high despite falling prices. Lower prices allow for more agents to be run. Also, AI's ability keeps rising, and the price of harder tasks is higher.
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DoorDash's automated meal calendar handles everything in the background – it picks restaurants, sends reminders, and checks out orders – so everyone gets what they want and you get time back.
Xbox has announced a radical restructuring of its internal studios designed to reduce the independence of some of its teams.
Those living closest to the Amazon flight paths are hearing constant noise from the drones.
We still don't understand what's going on with AI generalization.
If you don't fix your bugs, your code will be built on an unstable foundation.
AI will make GDP estimation difficult because it is hard to measure quality.
Jev is a close relative of LLMs, but it is actually more similar to the BERT series of models, which are used for classification, not generation.
OpenAI introduced GPT-6 Sol and Luna as faster, more affordable counterparts to GPT-6 Astra, bringing advances in coding, factuality, computer use, and professional tasks to lower-cost models.
Anthropic introduced Claude Opus 5.5, saying it matched Claude Fable 5.1 on most work while costing 40% less to run than Opus 5. The model also underwent external evaluations and achieved Anthropic's strongest result to date on its automated behavioral audit.
SWE-BENCH PRO V2 releases with 642 tasks from 11 repositories, correcting previous task errors and optimizing evaluation processes. Performance drops for AI models, with OpenAI GPT-5 and Claude Opus 4.1 only scoring around 23% on the public set, highlighting the benchmark's increased challenge and realism compared to SWE-Bench Verified. Notably, top models show consistent results across tasks and languages, while smaller models falter under complex, multi-file scenarios.
Perplexity combined rejection sampling fine-tuning with hint-guided self-distillation so its Computer model could learn from both successful sessions and user-corrected failures.
Personal AI may ultimately compete on two moats: trust and task completion. Vinod Khosla says users will stay loyal to companies they trust with sensitive data and products that reliably finish work, while Meta faces a trust disadvantage.
Opus 5.5 reduces token costs by offering cheaper input and output tokens, with additional savings from extensive use of cache reads. Transaction costs depend on the number of turns, cache utilization, and model selection, impacting tasks based on session length and complexity.
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Your meetings happen in hallways, coffeeshops, and restaurants. Granola moves with you to catch every detail from desktop to Apple Watch. And now the Granola MCP server [11] lets you ask Claude to update your CRM with meeting context, have ChatGPT organize tasks in Linear, and turn meeting insights into automated workflows. Start free [12] with code TLDR1MO
Google has introduced RRSI, a method that regularizes how AI agent harnesses recursively improve themselves to reduce benchmark overfitting and encourage changes that transfer to new tasks. Across eight benchmarks, it improved out-of-distribution performance while using fewer policy tokens.
vLLM introduces hardware-agnostic layers to support models across diverse hardware while maintaining high performance. These layers achieve up to 96.6% efficiency of native implementations on NVIDIA H100 GPUs while remaining torch compilable and extensible. This ensures vLLM adapts to new GPU advancements without neglecting users of older and niche accelerators.
A set of scheduling techniques bounds four major memory bottlenecks in large-scale MoE training, expert dispatch, vocabulary projection, checkpointing, and optimizer state, without approximating the computation.
ChangXin Memory Technologies, China's largest maker of DRAM, says that its process capabilities are now on par with the most advanced mass-produced nodes in the industry. The company's fifth-generation DRAM platform has entered mass production. The platform yields at least 50% more dies per wafer than the previous generation. There are already two products running on the platform, both 24-gigabit LPDDR5X and holding 50% more data than the equivalent chips CXMT made before.
The Biological Computing Co. is a startup that grows living neurons to improve AI models. It has partnered with AWS to bring a neuron-derived AI video model to paying customers. The neurons themselves will stay in the lab. TBC uses them during discovery, then turns what they learn into a lightweight software layer. The design means that customers won't need to maintain any biological hardware or change how they work. The optimized model runs on standard GPUs and cloud accelerators at the same capacity a company would rent for any other generative model.
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Enterprises won't expose sensitive data to infrastructure they don't control. Model builders won't put proprietary weights somewhere they can't trust. Learn how VAST Data is removing that trust barrier [18].
OpenAI improved prompt caching for GPT-6 with higher default cache hit rates, discounts for shared prefixes reused within 30 minutes, and new tools for monitoring and diagnosing cache performance.
Derived data is creative content that is rewritten by AI before it is trained on.
If you don't go overseas, all that grinding was for nothing.
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The argument isn't "is open source cheaper" anymore; it's "who owns the intelligence." Two days on exactly that at the Open Intelligence Summit, also featuring OpenRouter's Peter Walker on what developers
GPT-6 Astra analyzed the still-unbroken Enigma messages and decided the most promising message was Nr. 172, MVUEH.
Meta admits Muse draws heavy inspiration from the open-source project OpenClaw, despite being built from scratch.
OpenAI CEO Sam Altman and Anthropic CEO Dario Amodei will address the UN Security Council on AI safety and regulation amid mounting concerns about AI risks.
Bernstein forecasts prediction market volume growing from an estimated $410 billion in 2026 to $10 trillion by 2035, compounding at ~70% annually, with financial assets like crypto, equities, and commodities rising from 12% of volume in 2025 to 49% by 2035 and overtaking sports, whose share falls from 61% to 38%. Crypto's share of Kalshi's volume jumped from under 5% in January to about 20% in August, while commodity trading grew from under $2 million in 2025 to roughly $590 million year-to-date. Kalshi now holds about 60% of industry volume, up from 35% in 2025.
Fairshake is committing $30 million to an Ohio Senate race against former Sen. Sherrod Brown, its most aggressive midterm move yet, days after the Clarity Act failed its Senate procedural vote. The PAC spent $12 million in 2024 backing Republican Bernie Moreno, who defeated Brown, a past Senate Banking Committee chair who called for cracking down on crypto's use in terrorism financing. Crypto money has flowed since April to support Republican Sen. Jon Husted, who faces Brown in November and backed the GENIUS Act. Fairshake said it will announce more midterm spending decisions in the coming weeks, despite having also backed Democrats Ruben Gallego and Elissa Slotkin, both of whom voted against the Clarity Act.
Coinbase for Agents has added US stocks and ETFs to its trading suite, routing securities through Coinbase Capital Markets Corp. with clearing handled by Apex Fintech Solutions, the same backend powering Coinbase's retail equities business. The platform offers 24/5 trading, fractional shares from $1, and zero commissions, with agents accessing thousands of securities through MCP integrations with Perplexity, Grok, ChatGPT, and Claude. Paired with the equities launch, x402 surpassed 230 million transactions and $54 million in cumulative volume in just over a year, with Coinbase processing more than half of all x402 transactions across the network. A single account balance covers both equity trades and micropayments as low as fractions of a cent, with configurable per-asset permissions and per-action approval guardrails letting users bound agent spending.
Trueo is moving its primary deployment from Base to Ethereum mainnet, saying Ethereum best fits its goal of being widely adopted, permissionless, and highly credible, after launching on Base in March 2025. Vitalik Buterin welcomed the move on X, calling Trueo a "strong prediction market contender" dedicated to decentralization and "not corposlop." Trueo said there will be no service interruption during migration, the TRUE token will migrate alongside the app with an indefinite migration window, and it's prioritizing a more impartial resolution oracle after disputes like the lawsuit over Polymarket's contested resolution of a Strategy bitcoin-sale market.
Crypto VC funding has split into two extremes: companies that can show fast revenue by riding a market frenzy, which ironically need the least capital, and companies that can absorb large financing rounds from big funds, where the financing itself becomes a moat. It cited Pendle, which raised $3.7 million from Mechanism Capital in 2021 at around $20 million TVL and now generates $13 million in annualized revenue, and Polymarket, which raised $4 million from Polychain in 2020 and took four years to find product-market fit around the 2024 US elections, as examples of firms that graduated between cohorts. The opportunity for seed investors is spotting a future category leader before its edge is obvious to other investors, since firms with only short revenue spurts and no IPO path struggle to get underwritten.
Blockchain analytics firm Bubblemaps published investigations into two crypto insider trading cases using onchain data visualization, and the CFTC opened formal investigations into the same cases shortly after the stories went live. Wired obtained FOIA documents confirming the CFTC ordered the probes, with the cases tied to Polymarket prediction market activity involving high-profile political events. The sequence positions public onchain forensics as a direct lead source for regulatory enforcement, with Bubblemaps' disclosures appearing to precede the agency's formal action. The pattern highlights how onchain transparency allows independent analysts to surface violations ahead of formal regulators, compressing the discovery-to-enforcement timeline in crypto markets.
LLM-based trading operates on second-to-minute timescales alongside HFT at microsecond scale (about 50% of US equity volume). Each layer processes different data types, so their asset valuations diverge and open cross-frequency arbitrage windows that retail traders cannot reach. The primary risk for retail is herding: users prompting the same models cluster into identical positions, while institutions model that predictable behavior and position ahead of the crowd. Adversarial dynamics compound the problem as CFOs tune earnings language to exploit known LLM sentiment patterns, and momentum-based strategies amplify the resulting price dislocations. The net outcome is not democratized alpha but a new structural edge for actors who understand both algorithmic layers.
The SEC's Exemptive Relief letter for Tokenized Securities restricts trading to permissioned AMM venues (TSVs) where both LPs and traders must complete KYC/KYB, excluding CLOB-based platforms like Hyperliquid, which market makers prefer for capital efficiency. Only SEC-registered tokenized NMS stocks qualify, disqualifying every existing permissionless tokenized equity offering from Robinhood Crypto, Coinbase, Binance, Ondo, and xStocks. Volume is capped at 0.25% of a stock's prior-month average daily share volume, while the total tokenized equity market sits at $3 billion against a $70 trillion total market, with current platforms operating below 0.001% of real equity volume. Operators must consent to open-ended SEC examinations and provide 30 days' advance notice before going live, and TSV investors forfeit Reg NMS best-execution protections that apply on traditional exchanges.
US spot bitcoin ETFs recorded $998.95 million in net inflows Monday, the largest since October 6, 2025, led by BlackRock's IBIT with $381.4 million, Ark & 21Shares' ARKB with $289.1 million, and Fidelity's FBTC with $238.8 million.
Binance purchased $100 million worth of Circle shares at $80.84 each in a private placement, per an SEC filing, alongside a five-year commercial deal under which Circle will pay Binance monthly fees based on USDC held through its wallet infrastructure.
Eric highlighted Flex business customers using stablecoins operationally.
Apple is recruiting stablecoin specialists for Apple Pay while Google posts Web3 roles in Hong Kong, marking a simultaneous push by two of the largest consumer tech platforms toward blockchain integration.
McLaren has unveiled a refined brand identity that modernizes its wordmark while drawing inspiration from the signage of the McLaren family's original service station, balancing heritage with a more contemporary look. The redesign also retains the iconic Speedmark for its racing and golf divisions, reinforcing brand continuity while signaling a new chapter for the company.
Apple has quietly introduced a bold new Apple Music wordmark alongside the launch of Apple Music Hall in London, replacing its minimalist branding with a retro-inspired, lowercase logo that signals a shift toward a more expressive visual identity. The redesign reflects Apple's growing embrace of bolder, more playful aesthetics and could hint at the direction of its future design language.
Noto 3D redraws emoji by hand rather than automating the jump into three dimensions, keeping expression readable at 18 pixels instead of chasing photorealism. Rotating the camera exposed legacy mistakes, including a poodle with three legs, and research showed that anatomical detail slows how fast people read emotion. An AI contrast audit flagged where darker skin tones vanish in dark mode across all 3,977 characters, and the library ships open source.