Lifeboat Foundation

The coolest concept of 2022 might become more than a concept if this VP has his way.

Clip from 1964 BBC Horizon program.

Fresh on the heels of GPT-4’s public release, a team of Microsoft AI scientists published a research paper claiming the OpenAI language model — which powers Microsoft’s now somewhat lobotomized Bing AI — shows “sparks” of human-level intelligence, or artificial general intelligence (AGI).

Emphasis on the “sparks.” The researchers are careful in the paper to characterize GPT-4’s prowess as “only a first step towards a series of increasingly generally intelligent systems” rather than fully-hatched, human-level AI. They also repeatedly highlighted the fact that this paper is based on an “early version” of GPT-4, which they studied while it was “still in active development by OpenAI,” and not necessarily the version that’s been wrangled into product-applicable formation.

Disclaimers aside, though, these are some serious claims to make. Though a lot of folks out there, even some within the AI industry, think of AGI as a pipe dream, others think that developing AGI will usher in the next era of humanity’s future; the next-gen GPT-4 is the most powerful iteration of the OpenAI-built Large Language Model (LLM) to date, and on the theoretical list of potential AGI contenders, GPT-4 is somewhere around the top of the list, if not number one.

Just a few days after hatching, zebrafish larvae can discriminate between bigger and smaller numbers, suggesting they may have an innate numerical ability.

By Jason Arunn Murugesu

A team of researchers from the Université libre de Bruxelles and the French National Center for Scientific Research have shown for the first time that an exotic type of process violating causal inequalities can be realized with known physics. A violation of a causal inequality proves under theory-independent assumptions that certain variables in an experiment cannot be assigned a definite causal order.

This is a phenomenon that has been known to be possible in theory, but widely believed impossible in practice, at least in the known regimes of physics. The new study, published in Nature Communications, shows that such processes can in fact be realized in standard quantum mechanics using variables that are delocalized in time. The finding may have far-reaching implications for our understanding of causality in physics.

The concept of causality is essential for physics and for our understanding of the world in general. Usually, we think of events as happening in a well-defined causal order. That is, they are ordered according to some time parameter, such that events in the past can influence events in the future, but not vice versa. For instance, the sunrise causes the rooster to crow, but whether the rooster crows does not have any influence on the sunrise.

If the Somali and Nubian tectonic plates continue to separate, the rift will form a smaller continent that will contain present-day Somalia as well as sections of Kenya, Ethiopia, and Tanzania.

Today at CONEXPO 2023, Volvo CE handed over the keys to the first construction machine made from fossil-free steel for a North American customer.

For the past 40 years, the W boson has been making headlines. In the 1980s, the announcement of its discovery helped confirm the theory of the electroweak interaction – a unified description of electromagnetic and weak forces. Today, measurements of its mass (mW) are testing the consistency of the Standard Model it helped to form. Figure 1: The measured value of the W-boson mass is compared to other published results. The vertical bands show the Standard Model prediction, and the horizontal bands and lines show the statistical and total uncertainties of the published results. (Image: ATLAS Collaboration/CERN) The W-boson mass is closely related to the masses of nature’s heaviest particles, including the top quark and the Higgs boson. However, if additional heavy particles exist, the mass might deviate from the Standard Model prediction. By comparing direct measurements of the W-boson mass to theoretical calculations, physicists are looking for deviations that could be an indicator of new phenomena. To be sufficiently sensitive to such deviations, mass measurements need to have amazingly small uncertainties, of the order of 0.01%. In 2017, the ATLAS Collaboration at CERN published the LHC’s first measurement of the W-boson mass, giving a value of 80,370 MeV with an uncertainty of 19 MeV. At the time, this measurement was the most precise single-experiment result, and was in agreement with the Standard Model prediction and all other experimental results. Last year, the CDF Collaboration at Fermilab published an even more precise measurement of the W-boson mass, analysing the full dataset provided by the Tevatron collider. With a value of 80,434 MeV and an uncertainty of 9 MeV it differed significantly from the Standard Model prediction and from the other experimental results. In a new preliminary result released today, the ATLAS Collaboration reports an improved re-analysis of its initial W-boson mass measurement. ATLAS finds mW to be 80,360 MeV, with an uncertainty of just 16 MeV. The measured value is 10 MeV lower than the previous ATLAS result and is in agreement with the Standard Model. The ATLAS Collaboration has measured the W boson mass to be 80,360 MeV with an uncertainty of 16 MeV – in agreement with the Standard Model. Figure 2: The 68% and 95% confidence-level contours of the indirect determination of the W-boson and top-quark mass from the global electroweak fit are compared to the 68% and 95% confidence-level contours of the ATLAS measurements of the W-boson and top-quark masses. (Image: ATLAS Collaboration/CERN) For this new analysis, ATLAS physicists revisited its data collected in 2011 at a centre-of-mass energy of 7 TeV (corresponding to 4.6 fb-1, also used in ATLAS’ previous measurement). Researchers employed improved statistical methods and refinements in the treatment of the data, enabling them to reduce the uncertainty of their mass measurement by more than 15%. Researchers focused on collision events where the W boson decays into an electron or a muon (leptons), and a corresponding neutrino. The W-boson mass was then determined by fitting the kinematic distributions of the decay leptons in simulation to the data. The main difference between the 2017 and the new measurement is in the method used to perform these fits. While the previous measurement used the available data solely to determine the W-boson mass, with systematic uncertainties added after the fact, the new measurement simultaneously adjusts the systematic uncertainties together with the W-boson mass. This improvement reduced several systematic uncertainties, particularly those related to the theoretical modelling of W-boson production and decay. The W-boson transverse momentum distribution has as much of an influence on the lepton-decay distributions as the W-boson mass itself – and is therefore an important source of uncertainty. As the resolution of the 2011 data was too poor to verify the modelling of this distribution in detail, researchers instead used data recorded in 2017 during a special, low-luminosity proton-proton run at a centre-of-mass energy of 5 TeV. They found the data agreed with predicted distributions, thus validating the model. Also crucial to the measurement were the parton distribution functions (PDFs) of the proton, which model the relative momenta of its quark and gluon constituents. PDFs incorporate a multitude of data from different particle physics experiments. Since the previous measurement, these sets have been refined by including more data. The new ATLAS measurement evaluated the dependence of the measured W-boson mass on PDFs sets considering these more recent versions. Future measurements of the W-boson mass are expected by other LHC experiments, as well as further studies by ATLAS using data samples recorded in different pile-up conditions and at different centre-of-mass energies. These will provide independent evaluations of the experimental results obtained so far. About the event display in the banner: Display of a candidate W→μν event using proton-proton collisions at 7 TeV centre-of-mass energy at the LHC. Starting from the centre of the ATLAS detector, the reconstructed tracks of the charged particles in the Inner Detector (ID) are shown as cyan lines. The energy deposits in the electromagnetic (the green layer) and hadronic (the red layer) calorimeters are shown as yellow boxes. The identified muon is shown with its reconstructed track (blue line) passing through the muon chambers (blue layers). The muon has a transverse momentum of pT=36 GeV, whereas the missing transverse energy (red arrow) is 35 GeV and corresponds to the muon neutrino energy. The transverse mass of the W boson candidate is 71 GeV. (Image: ATLAS Collaboration/CERN) Explore the interactive event display Dynamic view of a candidate W→μν event using proton-proton collisions at 7 TeV centre-of-mass energy at the LHC. Starting from the centre of the ATLAS detector, the reconstructed tracks of the charged particles in the Inner Detector (ID) are shown as red lines. The energy deposits in the calorimeters are shown as yellow boxes. The identified muon is shown as a longer red dashed line. The missing transverse momentum is shown by a green dashed line. Learn more Improved W boson Mass Measurement using 7 TeV Proton-Proton Collisions with the ATLAS Detector (ATLAS-CONF-2023–004) Improved ATLAS result weighs in on the W boson, CERN Press Release, March 2023 Moriond EW 2023 presentation by Matthias Schott: EWK highlights from ATLAS High-precision measurement of the W boson mass with the CDF II detector (Science, Vol 376, Issue 6589) Briefing to previous W boson mass measurement, Physics Briefing, December 2016 First high-precision measurement of the mass of the W boson at the LHC, CERN Press Release, February 2018.

Microsoft’s Notion competitor has futuristic Lego-like Office documents and its AI-powered Copilot assistant.

Microsoft is now letting anyone preview Microsoft Loop, a collaborative hub offering a new way of working across Office apps and managing tasks and projects. Much like Notion, Microsoft Loop includes workspaces and pages where you can import and organize tasks, projects, and documents. But what sets the two apart is Loop’s shareable components that let you turn any page into a real-time block of content that can be pasted into Microsoft Teams, Outlook, Word on the web, and Whiteboard.

Loop components are constantly updated and editable for whoever they’re shared with.

Continue reading “You can now try Microsoft Loop, a Notion competitor with futuristic Office documents” »