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  2. ARC PrizeFirst-party
    AI score34

    ARC Prize: The three generations of ARC-AGI benchmarks show a natural progression

    ARC Prize stated that the relationship among ARC-AGI-1, ARC-AGI-2, and ARC-AGI-3 shows a natural progression, and that future benchmarks will continue to help measure progress and distinguish increasingly capable models. The thread also mentioned that there is a similar relationship between the scores of ARC-AGI-2 and ARC-AGI-3, with Gemini 4 Argon under low-reasoning settings being a clear exception: ARC-AGI-2 only 42.1%, while ARC-AGI-3 reached 97.5%.

    #Evaluations / benchmarks#Reasoning#English text is being prepared.

  3. Guillermo Rauch
    AI score35

    Vercel's fx v0.0.15 is faster, smaller, and uses less memory

    The Vercel developer account released fx v0.0.15: memory usage in long sessions reduced by 70%, binary size reduced by 7.66% (6.66MiB → 6.15MiB), image-heavy turn processing up to 3.3× faster, session resumes about 18% faster, plus automatic model catalog refresh and /fork for branching conversations. Guillermo Rauch shared it, saying fx is now faster, smaller, and more efficient.

    Quoted postVercel Developers · @vercel_dev

    fx v0.0.15 Less memory. Faster resumes. Smaller binary. - 70% less memory in long sessions - 7.66% smaller binary (6.15mib ← 6.66mib) - Image-heavy turn processing up to 3.3× faster - Session resumes about 18% faster - Automatic model catalog refresh - Fork conversations with /fork - Better image handling & crash recovery in libfx - Multiple bug fixes & security improvements https://t.co/z3uxvmORfo

    #Product updates

  6. Elon Musk
    AI score20

    Musk responds to claim that FSD can save $1.5 trillion per year

    CoFounders Nik posted that Tesla FSD data shows vehicles with FSD enabled are about 9 times safer than ordinary drivers, and that if fully adopted it could save over $1.5 trillion per year, and called on lawmakers to accelerate FSD adoption. Musk merely replied "True" to express agreement.

    Quoted postCoFounders Nik · @CoFoundersNik

    FSD could literally free up OVER $1.5 trillion/yr... WHY isn't anyone talking about this?? If Lawmakers were serious about serving the people, they would start focusing on how to speed up FSD adoption. The Data: Fatal & serious crashes cost the U.S. almost $2 trillion per year in total societal harm; including ~$400 billion in direct economic costs in the form of: - medical bills - property damage - lost wages - enormous quality-of-life cost of lost years - permanent disability Tesla’s latest FSD data shows vehicles with FSD engaged are ~9× SAFER than the average driver. That means, if fully adopted, FSD could produce savings the size of any one of these: - ~6% of GDP - The entire Social Security program - Medicare AND Medicaid - Roughly 2× the defense budget At this scale, FSD (and technologies like it) could be one of the first real steps toward an age of AI "abundance" people talk about. 50 years from now, our children and grandchildren will look back in horror at the fact that we ever drove at all.

    #English text is being prepared.

  7. Rohan Paul
    AI score27

    Unify Launches AI Dialer: Cold Calling Has Not Been Replaced by AI

    Unify launches Dialer, which uses AI to filter contacts based on buying signals such as funding, hiring, job changes, or website visits, finds phone numbers from 65M+ companies, and then hands them to humans for outbound calls via Power Dialer. The company says sellers have already used it to place 112K+ calls, and 60% of sales reps book a meeting within about an hour of starting to dial; its benchmark shows it can reach 34% more numbers than Apollo and 66% more than ZoomInfo.

    Quoted postAustin Hughes · @austinh___

    Cold calling isn’t dead. And that’s why today, we’re launching Unify Dialer. Sellers have already placed 112K+ calls with it. → Prospect, sequence, and dial in one place. → Move faster through your call list with Power Dialer, with the research done before you dial. → Reach more buyers with 34% more reachable numbers than Apollo and 66% more than ZoomInfo in our benchmark. 60% of reps book a meeting within their first hour of dialing on Unify. Who better to pick up the phone than the wolf of insurance himself, Juliano Massarelli? 👇🏻 Try it here: https://t.co/aHbNT25Y8C

    #Product updates#Agents#English text is being prepared.

  8. Rohan PaulOpinion
    AI score60

    Anthropic's revenue in the first half of 2026 is nearly 400 times its full-year 2023 revenue

    Rohan Paul, citing a Bloomberg chart, states that Anthropic's revenue in the first half of 2026 is nearly 400 times its full-year 2023 revenue, and no other company in the chart comes close to this multiple. Nvidia, with the second-fastest growth, remained below 50 times throughout its first three years before going public, while Alphabet, Meta, Microsoft and SpaceX essentially stayed near the 1x baseline. Anthropic's full-year 2025 revenue was about 100 times that of 2023, so its revenue in just six months of 2026 was about 4 times its full-year 2025 revenue.

    #Industry news#Anthropic#English text is being prepared.

  9. Rohan Paul
    AI score64

    TechCrunch says that after Anthropic's IPO, public shareholders will have almost no say over the board

    TechCrunch reports that Anthropic's IPO will give public shareholders almost no say over board membership. Its long-term benefit trust holds Class T shares, which can elect and remove a majority of directors, and its members include Ben Bernanke; the 7 co-founders jointly hold another class of shares, with most of them controlling 50.1% of shareholder voting rights and 3 board seats. The board's nominating committee can block the trust's choice of 1 designated director or removal without cause, and refer that decision to an employee vote; founder control can be voluntarily ended 10 years after listing, or automatically terminated when there are fewer than 3 founders.

    #Industry news#Anthropic#OpenAI

  10. Rohan Paul
    AI score23

    Dalet Labs Raises $7M Pre-Seed to Build AI Shopping Scenes

    Dalet Labs has completed a $7M pre-seed funding round led by Lightspeed to build AI-generated shopping scenes. Its core idea is to have AI show options before users articulate their needs, distinguishing it from chatbots and shopping agents that require clear requests to provide help. The language model builds diffusion prompts solely from attributes in images the user likes, to limit hallucinated details in the scenes; collective user interaction determines the next batch of remixed images, and new outputs can become new references, allowing the image pool to expand without photography.

    Quoted postOmer Bar Tal · @omerbartal

    We raised a $7M pre-seed to make shopping fun again. @daletlabs generates media just for you: like walking into a mall built around your taste. And you can buy everything in-app. Built by researchers from Google, Runway and MIT. Backed by @lightspeedvp and amazing angels. https://t.co/IiAikIEmur

    #Industry news#Image generation

  11. Rohan PaulProduct release
    AI score53

    Claude for Legal Adds a Library of Prebuilt Mini-Apps Covering Citation Checks and Contract Clause Review

    Claude for Legal has added a batch of prebuilt mini-apps for everyday legal work such as verifying citations and sources and flagging contract clauses that violate company rules, some of which were built by Harvey, PwC, Goodwin, and Foley & Lardner. After opening an app, lawyers can first see how it performs on sample data, then point it at their own files and let Claude complete the first round of processing, with every finding linked to its source. Claude's official account said the app library also covers scenarios such as contract review and regulatory horizon scanning; users can start from the built-in examples, add their own documents and connectors, and share them across the enterprise.

    Quoted postClaude · @claudeai

    New in Claude for Legal: a gallery of ready-made artifacts for contract review, regulatory horizon scans, cite checks, and more. Start from the built-in example, add your own documents and connectors, and share it with anyone across the business. https://t.co/Wn2VK2HeMU

    Same story · 3 reports

    #Product updates#Agents#English text is being prepared.

  12. Rohan Paul
    AI score60

    Cognition Receives Investment Offers at $70 Billion to $80 Billion Valuation

    Cognition has received investor offers valuing it at $70 billion to $80 billion and is seriously considering closing a funding round before the end of the year, but negotiations are still at an early stage and terms may change. The offers came just weeks after Cognition raised more than $2 billion in September at a $48 billion valuation. At $70 billion to $80 billion, investors would be paying roughly 78 to 89 times its revenue, up from 53 times at the $48 billion valuation. The range would also exceed the $60 billion SpaceX paid in stock to acquire Cursor parent Anysphere.

    #Industry news#Agents

  13. Rohan Paul
    AI score81

    Anthropic IPO filing shows $131.7 billion in cash and short-term investments

    Anthropic's IPO filing shows it holds $131.7 billion in cash and short-term investments, a scale exceeding that of Amazon and Microsoft; among U.S. non-bank companies, only Berkshire Hathaway and Alphabet hold more, and it exceeds the combined total of Nvidia and Apple. Its cash and equivalents rose from $17.4 billion at the end of 2025 to $112.4 billion as of June 30, with interest income of $11 billion in the first half of the year, higher than its operating loss of $693 million. Over the same period, undiscounted obligations for leases not yet commenced rose from $50.2 billion to $321.4 billion, with an additional $265.6 billion in fixed or minimum guaranteed commitments; after June 30, it signed new agreements with approximately $245 billion in minimum payments, and Anthropic said it may settle some leases by issuing convertible bonds rather than cash.

    Same story · 128 reports

    #Industry news#Anthropic

  14. Rohan PaulOpinion
    AI score67

    Rohan Paul: The agent economy is taking over, with GitHub commits reaching 7.38 billion in September

    Citing data, Rohan Paul said that GitHub recorded 7.38 billion commits in September 2026, more than five times the figure a year earlier. To handle the flood of agent-generated code, GitHub has added 4 million CPU cores, 160PB of high-speed storage, and 50Tb/s of network capacity this year. A traffic surge on August 17 caused a 7-hour-47-minute outage affecting authentication, Actions, pull requests, and Copilot, and GitHub is migrating to multi-region Azure deployments and refactoring Git to decouple storage from compute.

    Quoted postSatya Nadella · @satyanadella

    We're redefining the SDLC for the agentic era. Lots of GitHub updates this morning at Universe: • GitHub Copilot Fusion delivers frontier-level quality, 40% faster and at up to 77% lower cost • Our unified Copilot harness is now in Foundry, a managed service for building long-running agents that reason, use tools, and get work done • Copilot Projects gives you an orchestration loop to build with multiple agents across repos And we’re expanding capacity and strengthening GitHub’s architecture to make the home of agentic development more resilient.

    #English text is being prepared.#Agents#GitHub

  15. Logan KilpatrickModel releases
    AI score78

    Google Releases Gemini 4 Carbon, Claims SOTA on Cybersecurity and Long-Horizon Tasks

    Google has released Gemini 4 Carbon, claiming it is a major improvement over Argon, which was released two weeks ago. The model achieves SOTA on cybersecurity and long-horizon tasks, ranks No. 1 on Artificial Analysis V5, shows significantly improved usability in areas such as coding, and is more closely aligned.

    Same story · 34 reports

    #Model releases#Google#Evaluations / benchmarks

  16. ARC PrizeFirst-partyAnalysis
    AI score62

    ARC Prize publishes Meta Muse Spark Open's evaluation results on ARC-AGI

    ARC Prize published the validation results of Meta's Muse Spark Open on ARC-AGI: ARC-AGI-1 at 89.0% with $0.29 per task, ARC-AGI-2 at 57.5% with $0.73 per task, and ARC-AGI-3 at 0.1% under the standard harness with $3.9K. ARC Prize states that its v1/2 scores are close to those of Haiku 5.5 and GPT-6 Luna, but the cost is about 9 times that of the latter; the model is priced on OpenRouter at $1.25 per million input tokens and $4.25 per million output tokens. As the reasoning tier increases, ARC-AGI-2 rises from 29.4% at medium (averaging 55k tokens/task) to 57.2% at xhigh (180k tokens/task).

    Same story · 4 reports

    #Evaluations / benchmarks#Reasoning#Meta

  17. ARC PrizeFirst-partyAnalysis
    AI score60

    ARC Prize tests Meta Spark Open: ARC-AGI-2 score 57.5%, cost about 9 times that of models with the same score

    ARC Prize tested Meta Spark Open on ARC-AGI: it scored 89.0% on ARC-AGI-1, 57.5% on ARC-AGI-2, and only 0.4% on ARC-AGI-3. Its v1/v2 scores are close to those of Haiku 5.5 and GPT-6 Luna, but its cost is about 9 times theirs. Across providers on OpenRouter, the model costs $1.25/M for input and $4.25/M for output, while Haiku 5.5 and GPT-6 Luna both cost $0.10/M for input and $0.50/M for output. As the reasoning tier increases, ARC-AGI-2 rises from 29.4% at medium (averaging 55k tokens/task) to 57.2% at xhigh (180k tokens/task).

    Same story · 4 reports

    #Evaluations / benchmarks#Reasoning#OpenAI

  18. ARC PrizeFirst-partyAnalysis
    AI score53

    ARC Prize publishes Muse Spark Open reasoning scaling test results on ARC-AGI

    ARC Prize published the test results of Meta's Muse Spark Open on the public ARC-AGI tasks: ARC-AGI-2 improves with reasoning scale, with medium averaging 55k tokens per task for 29.4%, high at 150k tokens for 51.0%, and xhigh at 180k tokens for 57.2%. ARC-AGI-1 already reached 92.8% at high and rose to 94.0% at xhigh. The model scores 57.5% on ARC-AGI-2 at $0.73 per task, and 89.0% on ARC-AGI-1 at $0.29 per task; its scores are close to those of Haiku 5.5 and GPT-6 Luna, but its cost is about 9 times theirs.

    Same story · 4 reports

    #Evaluations / benchmarks#Reasoning#Meta

  19. ARC PrizeFirst-partyAnalysis
    AI score52

    ARC Prize announces Meta Muse Spark Open's evaluation results on various versions of ARC-AGI

    ARC Prize announced the validation results of Meta Muse Spark Open on ARC-AGI: ARC-AGI-1 is 89.0% at $0.29 per task, ARC-AGI-2 is 57.5% at $0.73 per task, and ARC-AGI-3 is 0.4% at $3.0K under the provider adapter harness and 0.1% at $3.9K under the standard harness. ARC Prize states that its scores on v1/v2 are similar to those of Haiku 5.5 and GPT-6 Luna, but the cost is about 9 times that of the latter; the model is priced on OpenRouter at $1.25 per million input tokens and $4.25 per million output tokens, while Haiku 5.5 and GPT-6 Luna are both $0.10 per million input tokens and $0.50 per million output tokens. On public tasks, as the reasoning scale increases, the ARC-AGI-2 score rises from an average of 55k tokens/task corresponding to 29.4% at the medium tier, to 150k corresponding to 51.0% at the high tier, and then to 180k corresponding to 57.2% at the xhigh tier; ARC-AGI-1 has already reached 92.8% at the high tier and rises to 94.0% at the xhigh tier.

    Same story · 4 reports

    #Evaluations / benchmarks#Reasoning#Open-source ecosystem