@DeepLearn007
Imtiaz Adam CS #AI Postgrad |#Strategy #MachineLearning RSI Evolutionary Neurosymbolic |#RL #Agentic | #LLM Liberal | MBA alum @morganstanley @LBS @Columbia_Biz
LBC @LBCCyclists are denying Sadiq Khan his dream of a vehicle-free Oxford Street...
leo 🐾 @synthwavedd🚨 BREAKING: DeepMind have announced Gemini 4 Carbon. Per these benchmarks, it’s the new best model in the world, and leads Artificial Analysis’ Intelligence Index v5
Sundar Pichai @sundarpichaiI did say we'd be releasing our models periodically...introducing Gemini 4 Carbon, our next frontier model. Following Argon's release just two weeks ago, Carbon shows the pace at which we’re pushing the frontier, it ranks #1 on the recently updated v5.0 of @ArtificialAnlys Intelligence Index at 59. It also leads across key cybersecurity evaluations scoring 88.2% on SEC-bench Pro for finding vulnerabilities, 54.8% on ExploitGym for exploitation, and 71.0% on CWE-bench for patching. We’re seeing significant improvements in long-horizon tasks even compared to Argon, and we’ve strengthened frontier safeguards. As we did with Argon, we’re going to roll it out gradually + responsibly. Some trusted cyber defenders will get access starting this week. We'll be expanding it to more partners through our Fairwind Program, ahead of wider availability soon, so hang tight!
Luca Spinazzola @Luca_SpinazzolaIt's insane you and others say this with a straight face. You realize code reviews are the hardest part to do well (not bs reviews that only look at surface level charges and auto click merge). Non-trivial/large reviews are the hardest part of software development that require actual intelligence and a huge amount of context as a "review" requires the ability to think critically... A good reviewer also has the ability to consider if a pr could just flat out be implemented better in a different or simpler way. Current agents are terrrrrible this especially in large codebases. It's is an impossible task unless you have full agi or a something capable of novel thoughts. LLMs flat out today do not have enough context to be able to do complex code reviews well. Making a good llm based reviewer will never work for literally the same reasons LeCun says LLMs can't further scale.
Alex Tamkin @AlexTamkinNew Anthropic research: How AI agents shape experts' judgment calls When experts delegate work to an agent, do they still make the key decisions? We tested this in a randomized trial with 50 professional data analysts.
Evan @StockMKTNewzAnthropic currently has a larger cash pile than every public company except for Berkshire Hathaway and Google - CNBC
Artificial Analysis @ArtificialAnlysAnnouncing Artificial Analysis Intelligence Index v5, featuring 2 new benchmarks and 3 upgrades. For the first time, the majority of the Index is built on private datasets The Artificial Analysis Intelligence Index is our composite measure of model capabilities across tasks reflecting real-world usage today. v5 is our biggest upgrade since v4 launched in January. With v5, 60% of the Index is now based on evaluations with private test sets or held-out answers. Alongside Intelligence Index v5, we’re launching the Artificial Analysis Progress Index v1, which tracks model capability over time on one continuous scale. New to the Intelligence Index: ➤ FrontierCode 2.0: Cognition's newly-launched private benchmark of real-world coding tasks, graded on whether a repository maintainer would merge the agent's change ➤ Terminal-Bench-Science: 70 agentic scientific research tasks, run in a terminal environment Upgraded: ➤ HLE-Diamond (replacing Humanity's Last Exam): a refined 1,000-question version of Humanity's Last Exam, split evenly between reasoning and knowledge questions ➤ AA-Omniscience v1.1: An updated dataset with saturated and public set questions removed, new questions added, and ambiguous or erroneous questions revised ➤ CritPt v2: a private, 40-question hard subset of CritPt v2, revised by the CritPt authors and run with a code-execution tool Staying in the Index: AA-Briefcase, AutomationBench-AA, GDP.pdf and Terminal-Bench 4.0 Removed from the Index: GDPval-AA v2.1, SciCode, and AA-LCR v1.1 Key results: ➤ Claude Opus 5.5 (max) leads at 58, ahead of GPT-6 Astra (max, 57) and GPT-6.1 Sol (max, 55): Anthropic and OpenAI hold the top five models. Gemini 4 Argon (high) is next at 50 ➤ The open weights gap widens from 3 points to 12: Kimi K3.1 Pro (weights not yet released) is the top open weights model at 46. Among released weights, DeepSeek V4.1 Flash 1017 (max) and GLM-5.3 (max) lead at 32 - 26 points behind the leader and below Claude Haiku 5.5 (max, 36) ➤ Cost per task varies by more than 13x among the leading models: of the 10 highest-scoring models shown, GPT-6.1 Terra (max) is the cheapest at $0.96 per Intelligence Index task and Claude Fable 5.1 (max) the most expensive at $13.04
Shining Science @ShiningScienceA new cancer vaccine could reach patients as soon as 2027. Moderna and Merck have announced that their personalized cancer vaccine, intismeran autogene, succeeded in a phase 3 trial of 1,137 people with high-risk melanoma. Each dose is made from scratch for a single patient. Doctors sequence the patient's tumor, find the mutations that make it different from healthy tissue, and build an mRNA vaccine that trains the immune system to hunt cells carrying those exact flags. Given alongside the immunotherapy drug Keytruda, it significantly lowered the chance of the cancer returning or spreading compared with Keytruda alone. Phase 3 is the final stage of testing before approval, and this is the first time a personalized mRNA cancer vaccine has cleared it. In an earlier, smaller trial, the combination cut the risk of recurrence or death by 49% over five years. The companies haven't released exact phase 3 figures, and survival data aren't in yet, but they're now talking to regulators. Moderna says patients could receive it as early as 2027 if reviews go well. source: Moderna, Inc., & Merck & Co., Inc. (2026). Intismeran autogene in combination with KEYTRUDA (pembrolizumab) meets primary endpoint of recurrence-free survival in phase 3 trial in high-risk melanoma
Liz Webster @LizWebsterSBF🚨 Scrapping green levies may shave bills now. But the real problem is still Britain’s exposure to volatile gas prices. The fix is cheaper renewables, storage, grid reform and reconnecting to the EU’s Internal Energy Market. Energy security is the route to permanently lower bills.
